What a surprise! IBM and Apple have announced that they are working together. Who’d have thought it? Would it have happened under Steve Jobs leadership? Will it work? The two companies are planning to co-develop business-centric apps for the iPhone and iPad. And IBM is going to sell Apple’s mobile devices pre-installed with the new software to its business clients.
People are suggesting that IBM now has special access rights to certain security features on the devices and that other companies don’t have that kind of access. As a consequence, IBM can supply apps and services that are similar in behaviour to what users of Microsoft devices would expect. What hasn’t been made clear is what the financial arrangements are and what apps are going to be produced.
It seems that the deal is one that favours Apple. After all, they have a smaller part of the smartphone and tablet market worldwide than Android. According to IDC, Android will have about 60 percent of the smartphone market and Apple less than 20 percent. And Gartner are suggesting that Android has over 60 percent of the tablet market with Apple shrinking year-on-year with about 30 percent. And, after all the things Apple have said over the years, it seems an unlikely combination.
Maybe mainframe users will choose to use an Apple tablet and boost the flagging Apple sales that way. It seems hardly likely that a tablet user will rush out and buy a mainframe! Hence my conclusion that the relationship is very asymmetrical and favours Apple hugely more than IBM. Or, thinking the unthinkable (again), is Big Blue looking to take over Apple at some stage in the future – feeling that it can provide customers with an alternative to Microsoft and Android?
Or, perhaps, IBM looked in the mirror and saw itself 50 years ago, being able to dictate what software ran on its hardware and generally disregarding what every other company was doing as it stood in powerful isolation. And we know how that turns out.
I could make a prediction here that in three years’ time Apple will be a division of IBM. I could make a prediction, but predictions are notoriously unreliable. For example, Steve Ballmer, writing in USA Today, 30 April 2007, said: “There’s no chance that the iPhone is going to get any significant market share”. Or Thomas Watson, chairman of IBM, who in 1943 said: “I think there is a world market for maybe five computers”
There are more of these unfortunate predictions. Ken Olson, president, chairman, and founder of Digital Equipment Corp in 1977 said: “There is no reason anyone would want a computer in their home”. Or Bill Gates, who in 1981 is meant to have said: “640K ought to be enough for anybody” – although that one probably isn’t true.
Robert Metcalfe, the inventor of Ethernet, writing in InfoWorld magazine in December 1995 said; “I predict the Internet will soon go spectacularly supernova and in 1996 catastrophically collapse”. An engineer at the Advanced Computing Systems Division of IBM, in 1968, said about the microchip: “But what...is it good for?” Or the editor in charge of business books for Prentice Hall said in 1957: “I have travelled the length and breadth of this country and talked with the best people, and I can assure you that data processing is a fad that won’t last out the year”.
These are predictions that are right up there with H M Warner of Warner Brothers in 1927 saying: “Who the hell wants to hear actors talk?” Or Decca Recording Co rejecting the Beatles in 1962 by saying: “We don’t like their sound, and guitar music is on the way out”. And, of course, journalist Stewart Alsop Jr back in 1991, predicting that the last mainframe would be unplugged by 15 March 1996.
Best not to make predictions, or at least not to publish them, don’t you think? But are we looking at Apple’s last days as an independent company?
Showing posts with label IBM. Show all posts
Showing posts with label IBM. Show all posts
Sunday, 20 July 2014
Sunday, 15 June 2014
Having your cake and eating it
Everyone knows that mainframes are the best computers you can have. You can run them locally, you can hide them in the cloud, and you can link them together into a massive processing network. But we also know that there are smaller platforms out there that work differently. Wouldn’t it be brilliant if you could run them all from one place?
Last summer we were excited by the announcement from IBM of its new zBC12 mainframe computer. The zBC12 followed the previous year’s announcement of the zEC12 (Enterprise Class), and 2011 saw the z114, with 2010 giving us the z196. So what’s special about those mainframes?
Well, in addition to IFL, zIIP, and zAAP specialty processors, and massive amounts of processing power, they came with the IBM zEnterprise BladeCenter Extension (zBX), which lets users combine workloads designed for mainframes with those for POWER7 and x86 chips, like Microsoft Windows Server. So let’s unpick this a little.
One issue many companies have after years of mergers and acquisitions is a mixed bag of operating systems and platforms. They could well have server rooms across the world and not really know what was running on those servers.
IBM’s first solution to this problem was Linux on System z. Basically, a company could take hundreds of Linux servers and consolidate them onto a single mainframe. They would save on energy to drive the servers and cool them, and they would get control of their IT back.
IBM’s second solution, as we’ve just described, was to incorporate the hardware for Linux and Windows servers in its mainframe boxes. You’d just plug in the blades that you needed and you had full control over your Windows servers again (plus all the benefits of having a mainframe).
But what about if you could actually run Windows on your mainframe? That was the dream of some of the people at Mantissa Corporation. They did a technology demo at SHARE in August 2009. According to Mantissa’s Jim Porell, Network World read their abstract and incorrectly assumed that they were announcing a product – which they weren’t. The code is still in beta. But think about what it could mean: running all your Windows servers on a mainframe. That is quite a concept.
Again, according to Jim, they can now have real operating systems running under their z86VM, although, so far, they are the free versions of Linux. Their next step will be to test it with industrial strength Linux distros such as Red Hat and Suse. And then, they will need to get Windows running. And then they’ll have a product.
Speaking frankly, Jim said that currently they have a bug in their Windows ‘BIOS’ processing in the area of plug-and-play hardware support. Their thinking is that it’s a mistake in their interpretation of the hardware commands and, naturally, they’re working to resolve it.
The truth is that it’s still early days for the project, and while running Linux is pretty good, we can already do that on a mainframe (although you might quibble at the price tag for doing so). But once the Mantissa technical people have cracked the problems with Windows, it will be a product well worth taking a look at, I’m sure. But they’re not there yet, and they’re keen to manage expectations appropriately.
Jim goes on to say that once the problems are solved it’s going to be about performance. Performance is measured in a couple of ways: benchmarks of primitives, benchmarks of large-scale for capacity planning, end user experiences, and what they are willing to tolerate. So it seems that they have business objectives around performance where they could be successful if they supported only 10 PCs, then more successful with a 100 PCs, and even have even greater success if they can support a 1000 PCs.
Jim Porell describes z86VM as really just an enabler to solving a wide range of ‘customer problems’ by enabling direct access between the traditional mainframe and the PC operating systems that are co-located with it.
I think that anything that gets more operating systems running on mainframe hardware has got to be good. And I’m prepared to wait for however long it takes Mantissa to get Windows supported on a mainframe. I’ll definitely feel then that I’m having my cake and eating it!
Last summer we were excited by the announcement from IBM of its new zBC12 mainframe computer. The zBC12 followed the previous year’s announcement of the zEC12 (Enterprise Class), and 2011 saw the z114, with 2010 giving us the z196. So what’s special about those mainframes?
Well, in addition to IFL, zIIP, and zAAP specialty processors, and massive amounts of processing power, they came with the IBM zEnterprise BladeCenter Extension (zBX), which lets users combine workloads designed for mainframes with those for POWER7 and x86 chips, like Microsoft Windows Server. So let’s unpick this a little.
One issue many companies have after years of mergers and acquisitions is a mixed bag of operating systems and platforms. They could well have server rooms across the world and not really know what was running on those servers.
IBM’s first solution to this problem was Linux on System z. Basically, a company could take hundreds of Linux servers and consolidate them onto a single mainframe. They would save on energy to drive the servers and cool them, and they would get control of their IT back.
IBM’s second solution, as we’ve just described, was to incorporate the hardware for Linux and Windows servers in its mainframe boxes. You’d just plug in the blades that you needed and you had full control over your Windows servers again (plus all the benefits of having a mainframe).
But what about if you could actually run Windows on your mainframe? That was the dream of some of the people at Mantissa Corporation. They did a technology demo at SHARE in August 2009. According to Mantissa’s Jim Porell, Network World read their abstract and incorrectly assumed that they were announcing a product – which they weren’t. The code is still in beta. But think about what it could mean: running all your Windows servers on a mainframe. That is quite a concept.
Again, according to Jim, they can now have real operating systems running under their z86VM, although, so far, they are the free versions of Linux. Their next step will be to test it with industrial strength Linux distros such as Red Hat and Suse. And then, they will need to get Windows running. And then they’ll have a product.
Speaking frankly, Jim said that currently they have a bug in their Windows ‘BIOS’ processing in the area of plug-and-play hardware support. Their thinking is that it’s a mistake in their interpretation of the hardware commands and, naturally, they’re working to resolve it.
The truth is that it’s still early days for the project, and while running Linux is pretty good, we can already do that on a mainframe (although you might quibble at the price tag for doing so). But once the Mantissa technical people have cracked the problems with Windows, it will be a product well worth taking a look at, I’m sure. But they’re not there yet, and they’re keen to manage expectations appropriately.
Jim goes on to say that once the problems are solved it’s going to be about performance. Performance is measured in a couple of ways: benchmarks of primitives, benchmarks of large-scale for capacity planning, end user experiences, and what they are willing to tolerate. So it seems that they have business objectives around performance where they could be successful if they supported only 10 PCs, then more successful with a 100 PCs, and even have even greater success if they can support a 1000 PCs.
Jim Porell describes z86VM as really just an enabler to solving a wide range of ‘customer problems’ by enabling direct access between the traditional mainframe and the PC operating systems that are co-located with it.
I think that anything that gets more operating systems running on mainframe hardware has got to be good. And I’m prepared to wait for however long it takes Mantissa to get Windows supported on a mainframe. I’ll definitely feel then that I’m having my cake and eating it!
Sunday, 25 May 2014
Busy week for IBM
IBM has had a busy week, with announcements about cloud, tape storage, and even giving Watson a personality! So let’s have a look at what’s being said.
An IBM survey (produced by the Institute for Business Value) found that global organizations are unprepared for things like cloud computing, analytics, mobile devices, and social media. And guess what? IBM has some new systems, software, and capabilities to help those organizations create smarter infrastructures that will give them faster access to big data insights through the cloud and improved business performance.
IBM recently announced software enabling organizations to access any data from any device and from anywhere in the world, and has added to that with storage announcements. Its Storwize, XIV, tape library, and Flash storage products can optimize storage for large-scale cloud deployments through virtualization, real-time compression, easy-tiering, and mirroring, and provide fast access to information.
IBM’s Storwize V7000 Unified has been enhanced with new clustering capabilities, real-time compression, and Active Cloud Engine to help customers manage growing amounts of data. The system also supports 4 petabytes (twice the storage capacity of previous models).
IBM’s XIV Cloud Storage for Service Providers provides a pay-per-use pricing model for business partners that reduces the initial cost of the system. New features demoed included XIV multi-tenancy, enhanced data security, and improved cloud economics through the partition of XIV storage into logical domains assigned to distinct tenants.
The TS4500 Tape Library enables large-scale cloud deployments with a data architecture that maintains high utilization and can back up three times more cloud data in the same footprint. And the IBM DS8870 Flash enclosure provides up to three and one-half times faster flash performance requiring 50 percent less space and 12 percent less energy.
IBM has launched IBM Cloudmanager with Openstack that can be downloaded from its Marketplace like any other application. It’s based on IBM Cloudentry, and includes full access to Icehouse, the latest version of Openstack. It can also be bought as part of a package with the IBM Power Systems server range to form the IBM Power Systems Solution Edition for Scale Out Cloud.
IBM also has IBM Flex System X6 compute nodes and IBM Flex System x880 X6 eight-socket, x480 X6 four-socket, and x280 X6 two-socket compute nodes. These nodes include modular blade design that enables seamless scalability without ‘rip and replace’ as analytic workloads increase.
The IBM System x3100 M5 is a new, compact, tower server equipped with the latest Intel Xeon E3-1200v3 processors for increased performance, and four levels of RAID for enhanced data protection.
The IBM PureFlex Solution for Parallels allows managed service providers to integrate Web, IaaS, SaaS, and core services for their clients on the Parallels Automation software platform.
IBM also announced cloud-based offerings (Software as a Service) for IBM Concert, IBM Project Catalyst, and OpenPages. IBM Concert provides a way to make budgeting, planning, and forecasting software more accessible to sales, marketing, and incentive-compensation decision makers. Project Catalyst provides advanced analytics capabilities to everyone. OpenPages provides governance, risk-management, and compliance application as a managed service on SoftLayer
Meanwhile, IBM and Fujifilm have demoed a 154TB LTO-size tape cartridge. The density developments rely on smaller magnetic particles, narrower tracks, meaning more tracks on a half-inch-wide tape, and better read:write heads to follow and read/write to/from these tracks.
And finally, in a busy week of announcements, IBM’s Watson group has acquired Cognea, an Australian-founded start-up that makes virtual assistants for enterprise customers. They say that the Watson Platform will fit into the “cognitive era of computing” where people have conversations with machines that are able to understand natural language. IBM has brought in Cognea to offer a range of personalities for Watson, “from suit-and-tie formal to kid-next-door friendly”. The acquisition furthers IBM’s plan to make Watson a development platform available to the enterprise, start-ups, and universities.
An IBM survey (produced by the Institute for Business Value) found that global organizations are unprepared for things like cloud computing, analytics, mobile devices, and social media. And guess what? IBM has some new systems, software, and capabilities to help those organizations create smarter infrastructures that will give them faster access to big data insights through the cloud and improved business performance.
IBM recently announced software enabling organizations to access any data from any device and from anywhere in the world, and has added to that with storage announcements. Its Storwize, XIV, tape library, and Flash storage products can optimize storage for large-scale cloud deployments through virtualization, real-time compression, easy-tiering, and mirroring, and provide fast access to information.
IBM’s Storwize V7000 Unified has been enhanced with new clustering capabilities, real-time compression, and Active Cloud Engine to help customers manage growing amounts of data. The system also supports 4 petabytes (twice the storage capacity of previous models).
IBM’s XIV Cloud Storage for Service Providers provides a pay-per-use pricing model for business partners that reduces the initial cost of the system. New features demoed included XIV multi-tenancy, enhanced data security, and improved cloud economics through the partition of XIV storage into logical domains assigned to distinct tenants.
The TS4500 Tape Library enables large-scale cloud deployments with a data architecture that maintains high utilization and can back up three times more cloud data in the same footprint. And the IBM DS8870 Flash enclosure provides up to three and one-half times faster flash performance requiring 50 percent less space and 12 percent less energy.
IBM has launched IBM Cloudmanager with Openstack that can be downloaded from its Marketplace like any other application. It’s based on IBM Cloudentry, and includes full access to Icehouse, the latest version of Openstack. It can also be bought as part of a package with the IBM Power Systems server range to form the IBM Power Systems Solution Edition for Scale Out Cloud.
IBM also has IBM Flex System X6 compute nodes and IBM Flex System x880 X6 eight-socket, x480 X6 four-socket, and x280 X6 two-socket compute nodes. These nodes include modular blade design that enables seamless scalability without ‘rip and replace’ as analytic workloads increase.
The IBM System x3100 M5 is a new, compact, tower server equipped with the latest Intel Xeon E3-1200v3 processors for increased performance, and four levels of RAID for enhanced data protection.
The IBM PureFlex Solution for Parallels allows managed service providers to integrate Web, IaaS, SaaS, and core services for their clients on the Parallels Automation software platform.
IBM also announced cloud-based offerings (Software as a Service) for IBM Concert, IBM Project Catalyst, and OpenPages. IBM Concert provides a way to make budgeting, planning, and forecasting software more accessible to sales, marketing, and incentive-compensation decision makers. Project Catalyst provides advanced analytics capabilities to everyone. OpenPages provides governance, risk-management, and compliance application as a managed service on SoftLayer
Meanwhile, IBM and Fujifilm have demoed a 154TB LTO-size tape cartridge. The density developments rely on smaller magnetic particles, narrower tracks, meaning more tracks on a half-inch-wide tape, and better read:write heads to follow and read/write to/from these tracks.
And finally, in a busy week of announcements, IBM’s Watson group has acquired Cognea, an Australian-founded start-up that makes virtual assistants for enterprise customers. They say that the Watson Platform will fit into the “cognitive era of computing” where people have conversations with machines that are able to understand natural language. IBM has brought in Cognea to offer a range of personalities for Watson, “from suit-and-tie formal to kid-next-door friendly”. The acquisition furthers IBM’s plan to make Watson a development platform available to the enterprise, start-ups, and universities.
Sunday, 18 May 2014
Enterprise Social Networking
Enterprise Social Networks are identifiable by the fact that they integrate with existing platforms and applications and they appeal directly to end users. In effect, they bring the benefits of social media to the enterprise. So how would you recognize an Enterprise Social Networking (ESN) product? It would be something like Microsoft’s Yammer, Jive Software’s Jive, Salesforce’s Chatter, and IBM’s Connections. In fact, those are Gartner’s four leading products in the sector (Gartner Inc “Magic Quadrant for Social Software in the Workplace” by Nikos Drakos et al, September 2013).
Drakos and colleagues estimated the market will be worth $1.4 billion in revenue by 2016, and described it as “dynamic and highly competitive”. Gartner looked at the top 20 vendors in the sector. Apart from the top four mentioned above, Gartner’s Visionaries were: Google, Telligent (Zimbra), SAP, Cisco, and Acquia. The Niche players were: OpenText, Huddle, blueKiwi, Igloo, Novell, Liferay, and Zyncro. And the Challengers were: Tibco Software, VMware, NewsGator, and Atlassian.
According to Gartner, “Leaders are well-established vendors with widely used social software and collaboration offerings. They have established their leadership through early recognition of users’ needs, continuous innovation, overall market presence, and success in delivering user-friendly and solution-focused suites with broad capabilities”.
If you’re thinking of getting an Enterprise Social Network, what are you going to use it for? “S.O.C.I.A.L. – Emergent Enterprise Social Networking Use Cases: A Multi Case Study Comparison”, by Kai Riemer and Alexander Richter (2012), analysed nearly 7500 messages from across five mature networks and found that virtually all the messages could be grouped into one of eleven generic categories. They were:
Gartner has suggested that the business objectives of Enterprise Social Networking projects are to:
So let’s take a brief look at those market leaders.
Yammer was launched in 2008 and was bought by Microsoft in 2012. The plans seem to be that it will tightly integrate with Office, SharePoint, and application programs running on Windows. Yammer lives in the cloud and looks pretty much like Facebook, so users can find their way round it fairly easily. With Office 365, sites can run their Microsoft infrastructure in the cloud too.
Jive Software’s Jive was previously known as Clearspace, then Jive SBS, then Jive Engage. Jive (the company) was founded in 2001. Salesforce.com was founded in 1999, and provides a variety of different services to its customer base. Both offer a Facebook-like product.
IBM’s product is IBM Connections. It was announced at Lotusphere in 2007, and is currently at Version 4.5. Its components include a homepage, microblogging, profiles, communities, ideation (the ability to crowdsource ideas), media gallery, blogs, bookmarks, activities (a tool for groups of people to work together on a specific project or task), files, wikis, forums, and a search facility.
The ten IBM Connections components are J2EE (Java 2 Platform, Enterprise Edition) applications that are hosted on IBM WebSphere Application Server. In this way, the components can be hosted independently of each other, and large-scale deployments can be supported.
Importantly, if this is going to get any take up outside of IBM-controlled environments, IBM Connections uses plug-ins to integrate into existing applications, including:
There’s also platform support for IBM WebSphere Application Server V8 and DB2 10, as well as support for the IBM i operating system.
It’s likely that once people start to use them, Enterprise Social Networks will take on a life of their own and new uses will be found for them. My feeling is that their use will continue to grow and you’ll begin to find them embedded in every organization that you visit – and you’ll find people checking them on their smartphones and tablets when they’re out and about.
Drakos and colleagues estimated the market will be worth $1.4 billion in revenue by 2016, and described it as “dynamic and highly competitive”. Gartner looked at the top 20 vendors in the sector. Apart from the top four mentioned above, Gartner’s Visionaries were: Google, Telligent (Zimbra), SAP, Cisco, and Acquia. The Niche players were: OpenText, Huddle, blueKiwi, Igloo, Novell, Liferay, and Zyncro. And the Challengers were: Tibco Software, VMware, NewsGator, and Atlassian.
According to Gartner, “Leaders are well-established vendors with widely used social software and collaboration offerings. They have established their leadership through early recognition of users’ needs, continuous innovation, overall market presence, and success in delivering user-friendly and solution-focused suites with broad capabilities”.
If you’re thinking of getting an Enterprise Social Network, what are you going to use it for? “S.O.C.I.A.L. – Emergent Enterprise Social Networking Use Cases: A Multi Case Study Comparison”, by Kai Riemer and Alexander Richter (2012), analysed nearly 7500 messages from across five mature networks and found that virtually all the messages could be grouped into one of eleven generic categories. They were:
- Problem solving – what can I do with x that I can’t do with y?
- Idea generation – how we can make this group more useful to its members?
- Status updates – I’m in my weekly meeting with customers
- Work coordination – @bob Can you raise tom’s permissions
- Information storage – checklist for H&S
- Discussion and opinions
- Input generation – #NHF recommends
- Meeting organization – I can’t make that time, can we shift to 4pm?
- Event notifications – 19 May for leaving drinks.
- Social praise – thanks for all your hard work on cut-over day.
- Informal talk – congratulations on your new baby.
Gartner has suggested that the business objectives of Enterprise Social Networking projects are to:
- Improve general communication and information sharing
- Boost team productivity and effectiveness with projects and business processes
- Support communities that stimulate learning and innovation, diffuse best practices, and encourage peer-to-peer networking that strengthens professional and interpersonal relationships.
So let’s take a brief look at those market leaders.
Yammer was launched in 2008 and was bought by Microsoft in 2012. The plans seem to be that it will tightly integrate with Office, SharePoint, and application programs running on Windows. Yammer lives in the cloud and looks pretty much like Facebook, so users can find their way round it fairly easily. With Office 365, sites can run their Microsoft infrastructure in the cloud too.
Jive Software’s Jive was previously known as Clearspace, then Jive SBS, then Jive Engage. Jive (the company) was founded in 2001. Salesforce.com was founded in 1999, and provides a variety of different services to its customer base. Both offer a Facebook-like product.
IBM’s product is IBM Connections. It was announced at Lotusphere in 2007, and is currently at Version 4.5. Its components include a homepage, microblogging, profiles, communities, ideation (the ability to crowdsource ideas), media gallery, blogs, bookmarks, activities (a tool for groups of people to work together on a specific project or task), files, wikis, forums, and a search facility.
The ten IBM Connections components are J2EE (Java 2 Platform, Enterprise Edition) applications that are hosted on IBM WebSphere Application Server. In this way, the components can be hosted independently of each other, and large-scale deployments can be supported.
Importantly, if this is going to get any take up outside of IBM-controlled environments, IBM Connections uses plug-ins to integrate into existing applications, including:
- IBM Notes
- IBM Sametime
- Microsoft Office
- Microsoft Outlook
- Microsoft Windows Explorer
- Microsoft Sharepoint
- RIM BlackBerry
- Apple iPhone / iPad / iPod Touch
- Google Android Phones
- WebSphere Portal.
There’s also platform support for IBM WebSphere Application Server V8 and DB2 10, as well as support for the IBM i operating system.
It’s likely that once people start to use them, Enterprise Social Networks will take on a life of their own and new uses will be found for them. My feeling is that their use will continue to grow and you’ll begin to find them embedded in every organization that you visit – and you’ll find people checking them on their smartphones and tablets when they’re out and about.
Sunday, 11 May 2014
Trevor Eddolls - IBM Champion 2014
iTech-Ed Ltd, the mainframe specialist organization that provides IT consultancy, analysis, technical education and training, Web design, writing, and editing solutions, is pleased to announce that Trevor Eddolls, its CEO, has been recognized by IBM as an IBM Champion for Information Management for the sixth year running. Trevor was first made an IBM Champion in 2009.
Trevor Eddolls, CEO of iTech-Ed Ltd said: “I am really proud to be recognized for this award again this year. There may not be a financial benefit to being an IBM Champion, but it’s a positive way for IBM to recognize people around the world who are helping to promote IBM’s products and help share information about those products amongst their users”.
But what does it mean? According to IBM: “IBM Champions encompass educators, programmers, developers and other IT professionals across a spectrum of technology categories, including big data, business analytics, information management, storage and more. These individuals serve as advocates and mentors for those availing themselves of IBM solutions and services.”
Contributions can come in a variety of forms, and popular contributions include blogging, speaking at conferences or events, moderating forums, leading user groups, and authoring books or magazines. Educators can also become IBM Champions; for example, an academic faculty may become IBM Champions by including IBM products and technologies in course curricula and encouraging students to build skills and expertise in these areas.
An IBM Champion is not an IBMer, and can live in any country. IBM Champions share their accomplishments and activities in their public profiles on IBM developerWorks, making it easy for the IT professional community to learn more about them and their contributions, and engage with them.”
So why is iTech-Ed Ltd’s Trevor Eddolls an IBM Champion? Well, he doesn’t work for IBM, but he does write about mainframe hardware and software. You can read his blog at mainframeupdate.blogspot.com and it.toolbox.com/blogs/mainframe-world. He also blogs once a month on the Destination z Web site. He’s Editorial Director for the well-respected Arcati Mainframe Yearbook. He’s also written technical articles that have been published in a variety of journals including Enterprise Tech Journal and its predecessor, z/Journal. And Trevor Eddolls is the chair of the Virtual IMS user group and the Virtual CICS user group. He also looks after their social networking – you can find information about the groups on Twitter, Facebook, and LinkedIn.
IBM Champions receive the title for one year, during which they can enjoy the benefits associated with the program – rather than any direct payment from IBM. Existing Champions are eligible to renew their status for the following year, as long as they can demonstrate that they have made significant contributions to the community over the previous 12 months.
Are IBM Champions compensated for their role? No. Do IBM Champions have any obligations to IBM? Again the answer is no. The title recognizes their past contributions to the community only over the previous 12 months. Do IBM Champions have any formal relationship with IBM? No. IBM Champions don’t formally represent IBM nor do they speak on behalf of IBM.
But it’s not all one-sided! IBM Champions receive merchandise customized with the IBM Champion logo. And IBM Champions receive: visibility, recognition, and networking opportunities at IBM events and conferences; and special access to product development teams, and invitations and discounts to events and conferences.
You can see Trevor’s profile here.
Trevor Eddolls, CEO of iTech-Ed Ltd said: “I am really proud to be recognized for this award again this year. There may not be a financial benefit to being an IBM Champion, but it’s a positive way for IBM to recognize people around the world who are helping to promote IBM’s products and help share information about those products amongst their users”.
But what does it mean? According to IBM: “IBM Champions encompass educators, programmers, developers and other IT professionals across a spectrum of technology categories, including big data, business analytics, information management, storage and more. These individuals serve as advocates and mentors for those availing themselves of IBM solutions and services.”
Contributions can come in a variety of forms, and popular contributions include blogging, speaking at conferences or events, moderating forums, leading user groups, and authoring books or magazines. Educators can also become IBM Champions; for example, an academic faculty may become IBM Champions by including IBM products and technologies in course curricula and encouraging students to build skills and expertise in these areas.
An IBM Champion is not an IBMer, and can live in any country. IBM Champions share their accomplishments and activities in their public profiles on IBM developerWorks, making it easy for the IT professional community to learn more about them and their contributions, and engage with them.”
So why is iTech-Ed Ltd’s Trevor Eddolls an IBM Champion? Well, he doesn’t work for IBM, but he does write about mainframe hardware and software. You can read his blog at mainframeupdate.blogspot.com and it.toolbox.com/blogs/mainframe-world. He also blogs once a month on the Destination z Web site. He’s Editorial Director for the well-respected Arcati Mainframe Yearbook. He’s also written technical articles that have been published in a variety of journals including Enterprise Tech Journal and its predecessor, z/Journal. And Trevor Eddolls is the chair of the Virtual IMS user group and the Virtual CICS user group. He also looks after their social networking – you can find information about the groups on Twitter, Facebook, and LinkedIn.
IBM Champions receive the title for one year, during which they can enjoy the benefits associated with the program – rather than any direct payment from IBM. Existing Champions are eligible to renew their status for the following year, as long as they can demonstrate that they have made significant contributions to the community over the previous 12 months.
Are IBM Champions compensated for their role? No. Do IBM Champions have any obligations to IBM? Again the answer is no. The title recognizes their past contributions to the community only over the previous 12 months. Do IBM Champions have any formal relationship with IBM? No. IBM Champions don’t formally represent IBM nor do they speak on behalf of IBM.
But it’s not all one-sided! IBM Champions receive merchandise customized with the IBM Champion logo. And IBM Champions receive: visibility, recognition, and networking opportunities at IBM events and conferences; and special access to product development teams, and invitations and discounts to events and conferences.
You can see Trevor’s profile here.
Sunday, 6 April 2014
Happy birthday mainframe
7 April marks the 50th anniversary of the mainframe. It was on that day in 1964 that the System/360 was announced and the modern mainframe was born. IBM’s Big Iron, as it came to be called, took a big step ahead of the rest of the BUNCH (Burroughs, UNIVAC, NCR, Control Data Corporation, and Honeywell). The big leap of imagination was to have software that was architecturally compatible across the entire System/360 line.
It was called System/360 to indicate that this new systems would handle every need of every user in the business and scientific worlds because it covered all 360 degrees of the compass. That was a triumph for the marketing team because it would have otherwise been called the rather dull System 500. System/360 could emulate IBM’s older 1401 machines, which encouraged customers to upgrade. Famous names among its designers are Gene Amdahl, Bob Evans, Fred Brooks, and Gerrit Blaauw. Gene Amdahl later created a plug-compatible mainframe manufacturing company – Amdahl.
IBM received plenty of orders and the first mainframe was delivered to Globe Exploration Co. in April 1965. Launching and producing the System/360 cost more than $5 billion, making it the largest privately-financed commercial project up to that time. It was a risky enterprise, but one that worked. From 1965 to 1970, IBM’s revenues went up from $3.6 billion to $7.5 billion; and the number of IBM computer systems installed anywhere tripled from 11,000 to 35,000.
The Model 145 was the first IBM computer to have its main memory made entirely of monolithic circuits. It used silicon memory chips, rather than the older magnetic core technology.
In 1970, the System/370 was introduced. The marketing said that the System/360 was for the 1960s; for the 1970s you needed a System/370. All thoughts of compass points had gone by then. IBM’s revenues went up to $75 billion and employee numbers grew from 120,000 to 269,000, and, at times, customers had a two-year wait to get their hands on a new mainframe.
1979 saw the introduction of the 4341, which was 26 times faster than the System/360 Model 30. The 1980s didn’t have a System/380. But in 1990, the System/390 Model 190 was introduced. This was 353 times faster than the System/360 Model 30.
1985 saw the introduction of the Enterprise System/3090, which had over one-million-bit memory chips and came with Thermal Conduction Modules to speed chip-to-chip communication times. Some machines had a Vector Facility, which made them faster. It replaced the ES/3080
The 1990s weren’t a good time for mainframes. For example, in March 1991, Stewart Alsop stated: “I predict that the last mainframe will be unplugged on March 15, 1996.” Not the most successful prediction, but definitely catching the zeitgeist of the time. It was the decade of the System/390 (back to the old style naming convention). We saw the introduction of high-speed fibre optic mainframe channel architecture Enterprise System Connection (ESCON).
The System/360 gave us 24-bit addressing (32-bit architecture) and virtual storage. The System/370 gave us multi-processor support and then extended storage 24-bit/31-bit addressing. With System/390 we got the OS/390 operating system. As we move into the 2000s, we got zSeries (zArchitecture) and z operating systems giving us 24, 31, and 64-bit addressing. In 2003, the z990 was described as, “the world's most sophisticated server”. In 2005 we got the zIIP specialty engine. In 2008 it was the z10 EC with high capacity/performance (quad core CPU chip). In 2010 the z196 (zEnterprise) had 96-way core design and distributed systems integration (zBX). In 2012, the zEC12 was described as an integrated platform for cloud computing, with integrated OLTP and data warehousing. In 2000 IBM said it would support Linux on the mainframe, and, by 2009, 70 of IBM’s top 100 mainframe customers were estimated to be running Linux. A zEnterprise mainframe can run 100,000 virtual Linux servers. Modern mainframes run Java and C++. And, the latest mainframe is compatible with the earliest System/360, which means that working code written in 1964 will still run on the latest z12BC.
In terms of operating systems, OS/360 was replaced by MVT, which became OS/VS2 SVS, and then OS/VS2 MVS. That became MVS/SE, which became MVS/SP, which became MVS/XA and then MVS/ESA before becoming OS/390 and finally z/OS.
And what does the future look like – with people migrating to other platforms and the technically-qualified mainframers beginning to look quite long in the tooth? The answer is rosey! Mainframe applications are moving from their traditional green screens to displays that look like anything you’d find on a Windows or Linux platform. They can provide cloud-in-a-box capability. They can integrate with other platforms. They can derive information from Big Data and the Internet of Things. Their biggest problem is, perhaps, decision makers at organizations don’t value them enough. Surveys that identify the cost benefits of running huge numbers of IMS or CICS transactions on a mainframe compared to other platforms are generally ignored. Many people think of them as “your dad’s technology”, and high-profile organizations like NASA are unplugging them.
So, although they are often misperceived as dinosaurs, they are in fact more like quick-witted and agile mammals. They provide bang up-to-date technology at a price that is value for money. I predict that we will be celebrating the mainframe’s 60th birthday and its 70th, though we may not be able to imagine how compact it will be by then and what new capabilities it will have.
Happy birthday mainframe.
It was called System/360 to indicate that this new systems would handle every need of every user in the business and scientific worlds because it covered all 360 degrees of the compass. That was a triumph for the marketing team because it would have otherwise been called the rather dull System 500. System/360 could emulate IBM’s older 1401 machines, which encouraged customers to upgrade. Famous names among its designers are Gene Amdahl, Bob Evans, Fred Brooks, and Gerrit Blaauw. Gene Amdahl later created a plug-compatible mainframe manufacturing company – Amdahl.
IBM received plenty of orders and the first mainframe was delivered to Globe Exploration Co. in April 1965. Launching and producing the System/360 cost more than $5 billion, making it the largest privately-financed commercial project up to that time. It was a risky enterprise, but one that worked. From 1965 to 1970, IBM’s revenues went up from $3.6 billion to $7.5 billion; and the number of IBM computer systems installed anywhere tripled from 11,000 to 35,000.
The Model 145 was the first IBM computer to have its main memory made entirely of monolithic circuits. It used silicon memory chips, rather than the older magnetic core technology.
In 1970, the System/370 was introduced. The marketing said that the System/360 was for the 1960s; for the 1970s you needed a System/370. All thoughts of compass points had gone by then. IBM’s revenues went up to $75 billion and employee numbers grew from 120,000 to 269,000, and, at times, customers had a two-year wait to get their hands on a new mainframe.
1979 saw the introduction of the 4341, which was 26 times faster than the System/360 Model 30. The 1980s didn’t have a System/380. But in 1990, the System/390 Model 190 was introduced. This was 353 times faster than the System/360 Model 30.
1985 saw the introduction of the Enterprise System/3090, which had over one-million-bit memory chips and came with Thermal Conduction Modules to speed chip-to-chip communication times. Some machines had a Vector Facility, which made them faster. It replaced the ES/3080
The 1990s weren’t a good time for mainframes. For example, in March 1991, Stewart Alsop stated: “I predict that the last mainframe will be unplugged on March 15, 1996.” Not the most successful prediction, but definitely catching the zeitgeist of the time. It was the decade of the System/390 (back to the old style naming convention). We saw the introduction of high-speed fibre optic mainframe channel architecture Enterprise System Connection (ESCON).
The System/360 gave us 24-bit addressing (32-bit architecture) and virtual storage. The System/370 gave us multi-processor support and then extended storage 24-bit/31-bit addressing. With System/390 we got the OS/390 operating system. As we move into the 2000s, we got zSeries (zArchitecture) and z operating systems giving us 24, 31, and 64-bit addressing. In 2003, the z990 was described as, “the world's most sophisticated server”. In 2005 we got the zIIP specialty engine. In 2008 it was the z10 EC with high capacity/performance (quad core CPU chip). In 2010 the z196 (zEnterprise) had 96-way core design and distributed systems integration (zBX). In 2012, the zEC12 was described as an integrated platform for cloud computing, with integrated OLTP and data warehousing. In 2000 IBM said it would support Linux on the mainframe, and, by 2009, 70 of IBM’s top 100 mainframe customers were estimated to be running Linux. A zEnterprise mainframe can run 100,000 virtual Linux servers. Modern mainframes run Java and C++. And, the latest mainframe is compatible with the earliest System/360, which means that working code written in 1964 will still run on the latest z12BC.
In terms of operating systems, OS/360 was replaced by MVT, which became OS/VS2 SVS, and then OS/VS2 MVS. That became MVS/SE, which became MVS/SP, which became MVS/XA and then MVS/ESA before becoming OS/390 and finally z/OS.
And what does the future look like – with people migrating to other platforms and the technically-qualified mainframers beginning to look quite long in the tooth? The answer is rosey! Mainframe applications are moving from their traditional green screens to displays that look like anything you’d find on a Windows or Linux platform. They can provide cloud-in-a-box capability. They can integrate with other platforms. They can derive information from Big Data and the Internet of Things. Their biggest problem is, perhaps, decision makers at organizations don’t value them enough. Surveys that identify the cost benefits of running huge numbers of IMS or CICS transactions on a mainframe compared to other platforms are generally ignored. Many people think of them as “your dad’s technology”, and high-profile organizations like NASA are unplugging them.
So, although they are often misperceived as dinosaurs, they are in fact more like quick-witted and agile mammals. They provide bang up-to-date technology at a price that is value for money. I predict that we will be celebrating the mainframe’s 60th birthday and its 70th, though we may not be able to imagine how compact it will be by then and what new capabilities it will have.
Happy birthday mainframe.
Saturday, 1 March 2014
Big Data 2.0
We were only just beginning to get our heads around Hadoop and Big Data in general when we find everyone is starting to talk about Big Data 2.0 – and it’s bigger, faster, and cleverer!
Hadoop, as I’m sure you know, is an open source project, and it’s available from companies like IBM, Hortonworks, Cloudera, and MapR. It provides a storage and retrieval method (HDFS – Hadoop Distributed File System) that can knock the socks off older, more expensive storage options on databases using SAN or NAS. It also means that more data can be stored. And that means not just human-keyed data, but data from the information of things (point of sales machines, sensors, cameras, etc) as well as social media. It’s an OCD sufferer’s dream come true. No need to delete (throw away) anything. But with all the data, it becomes important to find some way to ‘mine’ it – to derive information from the data that can be commercially useful. And that’s what’s happening, deeper and richer sets of results are being derived from the data that are beneficial to organizations.
With Version 2 of Hadoop, everything is faster. Data is processed at amazing speeds in-memory. The analysis is taking place at speed on terabytes of data. It also allows decisions to be made at speeds unavailable to humans. Research shows that algorithms with as many six variables out-perform human experts in most situations. This was tested on experts predicting the price of wine in future years and stock marketeers. So now, Big Data 2.0 means better decisions can be made at incredible speed.
It’s also possible for machines to learn using these techniques – such as the Google classic of having software that can identify the presence of a cat in video footage and no-one being quite sure how it is doing it.
For mainframe sites, Hadoop isn’t just some distant dream. You don’t need a room full of Linux servers to make it work – in fact that’s the clue to the solution. Much of this works very nicely on Linux on System z (or zLinux as many people still think of it). And once the data is on a mainframe, it becomes very easy to copy parts of it to a z/OS partition for more work to be done on the data. Cognos BI runs on the zLinux partition, so the first level of information extraction can be performed using that Business Intelligence tool. Software vendors are coming to market with products that run on the mainframe. BMC has extended its Control-M automated mainframe job scheduler with Control-M for Hadoop. Syncsort has Hadoop Connectivity. Compuware has extended its Application Performance Management (APM) software with Compuware APM for Big Data. And Informatica PowerExchange for Hadoop provides connectivity to the Hadoop Distributed File System (HDFS).
So what’s it like on the ground and away from the PowerPoint slides? At the moment, my experience is that really big companies – Google, Amazon, Facebook, and similar are pushing the envelope with Big Data. But it seems that many large organizations aren’t strongly embracing the new technology. Do banks, insurance companies, and airlines – the main users of mainframes – see a need for Big Data? Seemingly not – or not yet. Perhaps they are waiting for money to be spent and mistakes to be made before they adopt best practice and reap the benefits. Perhaps they are waiting for Big Data V3?
Big Data is definitely here to stay and those companies that could benefit from its adoption will gain a huge commercial advantage when they do.
Hadoop, as I’m sure you know, is an open source project, and it’s available from companies like IBM, Hortonworks, Cloudera, and MapR. It provides a storage and retrieval method (HDFS – Hadoop Distributed File System) that can knock the socks off older, more expensive storage options on databases using SAN or NAS. It also means that more data can be stored. And that means not just human-keyed data, but data from the information of things (point of sales machines, sensors, cameras, etc) as well as social media. It’s an OCD sufferer’s dream come true. No need to delete (throw away) anything. But with all the data, it becomes important to find some way to ‘mine’ it – to derive information from the data that can be commercially useful. And that’s what’s happening, deeper and richer sets of results are being derived from the data that are beneficial to organizations.
With Version 2 of Hadoop, everything is faster. Data is processed at amazing speeds in-memory. The analysis is taking place at speed on terabytes of data. It also allows decisions to be made at speeds unavailable to humans. Research shows that algorithms with as many six variables out-perform human experts in most situations. This was tested on experts predicting the price of wine in future years and stock marketeers. So now, Big Data 2.0 means better decisions can be made at incredible speed.
It’s also possible for machines to learn using these techniques – such as the Google classic of having software that can identify the presence of a cat in video footage and no-one being quite sure how it is doing it.
For mainframe sites, Hadoop isn’t just some distant dream. You don’t need a room full of Linux servers to make it work – in fact that’s the clue to the solution. Much of this works very nicely on Linux on System z (or zLinux as many people still think of it). And once the data is on a mainframe, it becomes very easy to copy parts of it to a z/OS partition for more work to be done on the data. Cognos BI runs on the zLinux partition, so the first level of information extraction can be performed using that Business Intelligence tool. Software vendors are coming to market with products that run on the mainframe. BMC has extended its Control-M automated mainframe job scheduler with Control-M for Hadoop. Syncsort has Hadoop Connectivity. Compuware has extended its Application Performance Management (APM) software with Compuware APM for Big Data. And Informatica PowerExchange for Hadoop provides connectivity to the Hadoop Distributed File System (HDFS).
So what’s it like on the ground and away from the PowerPoint slides? At the moment, my experience is that really big companies – Google, Amazon, Facebook, and similar are pushing the envelope with Big Data. But it seems that many large organizations aren’t strongly embracing the new technology. Do banks, insurance companies, and airlines – the main users of mainframes – see a need for Big Data? Seemingly not – or not yet. Perhaps they are waiting for money to be spent and mistakes to be made before they adopt best practice and reap the benefits. Perhaps they are waiting for Big Data V3?
Big Data is definitely here to stay and those companies that could benefit from its adoption will gain a huge commercial advantage when they do.
Sunday, 16 February 2014
IBM resizing and other news
IBMers across the globe must be wondering what’s going on as IBM starts to axe job and downsize its workforce. Particularly badly hit seems to be the Indian subcontinent and Europe. It looks like IBM is reducing commodity equipment staff in favour of software staff.
In Europe, figures being quoted are up to 500 people in France, 430 in Italy, 240 in the Netherlands, 105 in Belgium, and 35 in Norway. It looks like worldwide job cuts could reach 15,000.
IBM recently sold its System X server to Lenovo and, so, many of the job cuts have come from its Systems and Technology Group (STG).
There’s also some talk about IBM asking Goldman Sachs to value its chip division. The implication is that IBM will then sell that off – leading to a further drop in its head count.
Irrespective of that suggestion, we find that Samsung Electronics has joined IBM’s OpenPOWER Consortium. OpenPOWER (announced last August) is a way for companies to licence the architecture and customize it for their specific needs – in the same way that ARM does with its chips. Other group members include Google, Nvidia, Mellanox, and Tyan. IBM has also announced it’s putting up over $1bn to encourage Linux development on the chips – hopefully increasing their usage.
Meanwhile, IBM’s Chief Executive Officer, Ginni Rometty has been to Beijing for three days of meetings with government leaders.
It’s not all bad news from mainframe companies in India, CA Technologies has announced a strategic partnership with IDG Ventures India, a technology venture capital fund investing in India, to help drive innovation in the enterprise software market.
However, it’s not all good news for CA. It recently reported 8 percent lower earnings for its third quarter compared to the previous year. Net income in the three months fell to $232 million. So per-share net income fell 7 percent to 51 cents. Revenues in the quarter of $1.163 billion were down 3 percent from last year.
It seems that layoffs are expected at Compuware, but this is the final phase of its planned cost-cutting, and brings its headcount down to mid-1990s levels.
Over at BMC, things seem more upbeat. They have announced BMC Engage 2014, an IT management conference that will offer new ideas and insights to help people use technology platforms – from mainframe to cloud to mobile – to achieve organizational and market objectives, and drive major business transformations – they claim. It runs from 13 to 16 October at the Walt Disney World Swan and Dolphin in Orlando, Florida.
Over at Microsoft, new CEO, Satya Nadella, has e-mailed staff saying: “We must zero in on what Microsoft can uniquely contribute to the world”. That is, perhaps, harder than you might think in a world full of Apple and Samsung devices, and with Google pretty much ‘owning’ the Web.
An interesting week!
In Europe, figures being quoted are up to 500 people in France, 430 in Italy, 240 in the Netherlands, 105 in Belgium, and 35 in Norway. It looks like worldwide job cuts could reach 15,000.
IBM recently sold its System X server to Lenovo and, so, many of the job cuts have come from its Systems and Technology Group (STG).
There’s also some talk about IBM asking Goldman Sachs to value its chip division. The implication is that IBM will then sell that off – leading to a further drop in its head count.
Irrespective of that suggestion, we find that Samsung Electronics has joined IBM’s OpenPOWER Consortium. OpenPOWER (announced last August) is a way for companies to licence the architecture and customize it for their specific needs – in the same way that ARM does with its chips. Other group members include Google, Nvidia, Mellanox, and Tyan. IBM has also announced it’s putting up over $1bn to encourage Linux development on the chips – hopefully increasing their usage.
Meanwhile, IBM’s Chief Executive Officer, Ginni Rometty has been to Beijing for three days of meetings with government leaders.
It’s not all bad news from mainframe companies in India, CA Technologies has announced a strategic partnership with IDG Ventures India, a technology venture capital fund investing in India, to help drive innovation in the enterprise software market.
However, it’s not all good news for CA. It recently reported 8 percent lower earnings for its third quarter compared to the previous year. Net income in the three months fell to $232 million. So per-share net income fell 7 percent to 51 cents. Revenues in the quarter of $1.163 billion were down 3 percent from last year.
It seems that layoffs are expected at Compuware, but this is the final phase of its planned cost-cutting, and brings its headcount down to mid-1990s levels.
Over at BMC, things seem more upbeat. They have announced BMC Engage 2014, an IT management conference that will offer new ideas and insights to help people use technology platforms – from mainframe to cloud to mobile – to achieve organizational and market objectives, and drive major business transformations – they claim. It runs from 13 to 16 October at the Walt Disney World Swan and Dolphin in Orlando, Florida.
Over at Microsoft, new CEO, Satya Nadella, has e-mailed staff saying: “We must zero in on what Microsoft can uniquely contribute to the world”. That is, perhaps, harder than you might think in a world full of Apple and Samsung devices, and with Google pretty much ‘owning’ the Web.
An interesting week!
Sunday, 2 February 2014
10 years at iTech-Ed Ltd
2014 is a bit of a special year here at iTech-Ed Ltd. It was our 10th anniversary on 1 February. I thought you might be interested in some of the changes that have taken place in that time.
Before we set up iTech-Ed Ltd, I had worked for Xephon for 18 years. Xephon ran briefings on mainframe topics, ran surveys on mainframe topics, and created user guides to things like databases. In 1986, they decided to try a small publication by CICS professionals for CICS professionals. They called it CICS Update. It sold very well – remember there was no Google or Internet in those days and it was difficult to easily get your hands on working bits of code and alternative solutions to common problems. VM Update followed in 1987, and then a whole range of mainframe-based publications. I was there at the very beginning and over the next 18 years edited most of them.
In 2004, Xephon sold the name and the publications to TCI publications. We set up iTech-Ed and we got the contract to edit around five or six of these Updates each month. My first activity, at one minute after midnight on 1 February 2004, was to upload the new issues to the Web site.
Over the next three and half years, iTech-Ed was responsible for encouraging technical people to write articles, editing and checking them to produce each edition every month, paying contributors, and sending the publications to the printers and putting them on the Web site. A small team of experts checked the text for punctuation and grammar as well as technical accuracy.
At the same time, iTech-Ed was carrying out consultancy work and producing technical documentation that was used in-house by a number of well-known companies. And we also started blogging at Mainframe Update using Blogger and Mainframe World on IT Toolbox
Towards the end of 2007, the Updates ceased publication, and the very first Virtual IMS user group meeting was held using Webex. The user group was immediately very popular and was sponsored by NEON Enterprise Software. That year also saw a growth in number of companies using our Web design and development services.
In 2008 the company took its first steps in offering advice on social media and how organizations could use it both to get their message out there and also to interact with customers in a positive way. It was a hard job back then. I also qualified as a Microsoft Office trainer – MOS MI – and ran a number of on-site training courses.
We picked up the Arcati Mainframe Yearbook – the de facto reference work for mainframers – and have worked with Arcati for many years producing this. The 2014 edition is now available from arcati.com/newyearbook14.
I was made an IBM Champion in 2009 and have been a champion every year since. As well as producing internal documentation for companies, I have had numerous articles published in a variety of Web-based and printed publications, such as Enterprise Tech Journal. In 2010 I attended Microsoft SharePoint Administrator and Developer training. And I started my regular blog on Destination z in July 2011, where I’ve written about Big Data , the Internet of Things, Deep Learning, and, of course, mainframes.
Also in 2011, Fundi Software took over as sponsor of the Virtual IMS user group and we then launched the Virtual CICS user group. Both of them enjoy regular meetings and newsletters and have around 400 members. I chair both of these user groups, and we use Citrix GoToMeeting to facilitate the webinars.
Over recent years, we’ve published guest blogs and I’ve ghost written blogs for many other blog sites. I’ve also contributed to IBM’s IOD blogs for the past couple of years. And I’ve created podcasts for a number of different companies.
So, here we are – 2014. 10 years in business and still very much in demand and looking forward to the future. If you want to get in contact with us, our Web site is itech-ed.com or you can e-mail trevor@itech-ed.com. You can Like us on Facebook at fb.com/itech-ed, follow me on Twitter at @t_eddolls, connect on LinkedIn at linkedin.com/in/teddolls, or follow us on Google+ at google.com/+TrevorEddolls.
Before we set up iTech-Ed Ltd, I had worked for Xephon for 18 years. Xephon ran briefings on mainframe topics, ran surveys on mainframe topics, and created user guides to things like databases. In 1986, they decided to try a small publication by CICS professionals for CICS professionals. They called it CICS Update. It sold very well – remember there was no Google or Internet in those days and it was difficult to easily get your hands on working bits of code and alternative solutions to common problems. VM Update followed in 1987, and then a whole range of mainframe-based publications. I was there at the very beginning and over the next 18 years edited most of them.
In 2004, Xephon sold the name and the publications to TCI publications. We set up iTech-Ed and we got the contract to edit around five or six of these Updates each month. My first activity, at one minute after midnight on 1 February 2004, was to upload the new issues to the Web site.
Over the next three and half years, iTech-Ed was responsible for encouraging technical people to write articles, editing and checking them to produce each edition every month, paying contributors, and sending the publications to the printers and putting them on the Web site. A small team of experts checked the text for punctuation and grammar as well as technical accuracy.
At the same time, iTech-Ed was carrying out consultancy work and producing technical documentation that was used in-house by a number of well-known companies. And we also started blogging at Mainframe Update using Blogger and Mainframe World on IT Toolbox
Towards the end of 2007, the Updates ceased publication, and the very first Virtual IMS user group meeting was held using Webex. The user group was immediately very popular and was sponsored by NEON Enterprise Software. That year also saw a growth in number of companies using our Web design and development services.
In 2008 the company took its first steps in offering advice on social media and how organizations could use it both to get their message out there and also to interact with customers in a positive way. It was a hard job back then. I also qualified as a Microsoft Office trainer – MOS MI – and ran a number of on-site training courses.
We picked up the Arcati Mainframe Yearbook – the de facto reference work for mainframers – and have worked with Arcati for many years producing this. The 2014 edition is now available from arcati.com/newyearbook14.
I was made an IBM Champion in 2009 and have been a champion every year since. As well as producing internal documentation for companies, I have had numerous articles published in a variety of Web-based and printed publications, such as Enterprise Tech Journal. In 2010 I attended Microsoft SharePoint Administrator and Developer training. And I started my regular blog on Destination z in July 2011, where I’ve written about Big Data , the Internet of Things, Deep Learning, and, of course, mainframes.
Also in 2011, Fundi Software took over as sponsor of the Virtual IMS user group and we then launched the Virtual CICS user group. Both of them enjoy regular meetings and newsletters and have around 400 members. I chair both of these user groups, and we use Citrix GoToMeeting to facilitate the webinars.
Over recent years, we’ve published guest blogs and I’ve ghost written blogs for many other blog sites. I’ve also contributed to IBM’s IOD blogs for the past couple of years. And I’ve created podcasts for a number of different companies.
So, here we are – 2014. 10 years in business and still very much in demand and looking forward to the future. If you want to get in contact with us, our Web site is itech-ed.com or you can e-mail trevor@itech-ed.com. You can Like us on Facebook at fb.com/itech-ed, follow me on Twitter at @t_eddolls, connect on LinkedIn at linkedin.com/in/teddolls, or follow us on Google+ at google.com/+TrevorEddolls.
Sunday, 24 November 2013
Vivat mainframe
“Vivat Rex” is what the populace was meant to shout when a new king of England was crowned. It means “long live the king”. I think that we’ve been able to shout, “long live the mainframe” for a long time now, and recent announcements mean that we can continue to do so.
Mainframes, and I don’t need to tell you this, have been around for a long time now and have faced and overcome all the technical and business challenges that have been thrown at them in that time. And older mainframers can seem somewhat jaundiced when their younger colleagues get over-enthusiastic about some new technology.
We’ve looked at client-server technology and thought how similar it is to dumb terminals logging onto a mainframe. We’ve looked at cloud computing and thought how similar that is to terminals connecting to a mainframe in a different part of the world. But there’s much more to the mainframe than a simple ‘seen it, done it’ attitude. The mainframe is also able to absorb new technologies and make them its own.
We’ve looked recently at Hadoop – there are distributions from Hortonworks, Cloudera, Apache, and IBM (and many others). But you can run Big Data on your mainframe, and a number of mainframe software vendors have recently produced software that connects to Big Data from z/OS. It’s becoming integrated. So long live the mainframe with Big Data.
We’ve also, in this blog, looked at ways that BYOD – personal devices – can be used to access mainframe data, usually through browsers. And many of IBM’s younger presenters at GSE recently were talking about more Windows-like interfaces to mainframe information. Think of it – it’s like 1970 all over again – mainframes in the hands of 20-year-olds! So long live the mainframe with youthful staff and modern-looking interfaces.
We know there are other computing platforms out there, and IBM over the past few years has produced hybrid hardware that contains a mainframe and blades for running these other platforms. This summer’s zBC12 (Business Class) followed last year’s announcement of the zEC12 (Enterprise Class). And 2011 saw the z114, and 2010 gave us the z196. So long live the mainframe and its ability to embrace other platforms. (And I haven’t even mentioned how successfully you can run Linux on a mainframe.)
And thinking about mainframes embracing other technologies, CA has just announced the general availability of technology designed, they say, to help customers drive down the cost of storing data processed on IBM System z by backing up the data and archiving it to the cloud.
What that means is by using CA Cloud Storage for System z and the Riverbed Whitewater appliance, customers can back up System z storage data to Amazon Simple Storage Service (Amazon S3), a storage infrastructure designed for mission-critical and primary data storage, or to Amazon Glacier, an extremely low-cost storage service for which retrieval times of several hours are suitable. Both services are highly secure and scalable and designed to be durable. In addition, disaster recovery readiness is improved and AWS cloud storage is accessed without changing the existing back-up infrastructure.
So, yet again, we can say, long live the mainframe for the way it’s embracing cloud computing.
As a side note: Amazon has Amazon Elastic MapReduce (EMR), which uses Hadoop to provide Web services.
IBM has taken over StoredIQ, Star Analytics, and The Now Factory for Big Data Analytics or Business Analytics. And it took over SoftLayer Technologies for its cloud computing infrastructure. It’s making sure it has its hands on the tools and the people who are developing these newer technologies.
My conclusion is that there are new problems that need to be solved. And there are new technologies available to solve them. But so often those exciting new things are very similar to things that we mainframers have dealt with before. And where they seem different, mainframe environments are able to work with them and bring them into the fold.
There’s really no danger that mainframes are going away anytime soon. So, we’re very safe in saying, “vivat mainframe”.
On a completely different topic...
Please complete the mainframe users’ survey at www.arcati.com/usersurvey14. And if you’re a vendor, get your free entry in the Arcati Mainframe Yearbook 2014 by completing the form at www.arcati.com/vendorentry.
Mainframes, and I don’t need to tell you this, have been around for a long time now and have faced and overcome all the technical and business challenges that have been thrown at them in that time. And older mainframers can seem somewhat jaundiced when their younger colleagues get over-enthusiastic about some new technology.
We’ve looked at client-server technology and thought how similar it is to dumb terminals logging onto a mainframe. We’ve looked at cloud computing and thought how similar that is to terminals connecting to a mainframe in a different part of the world. But there’s much more to the mainframe than a simple ‘seen it, done it’ attitude. The mainframe is also able to absorb new technologies and make them its own.
We’ve looked recently at Hadoop – there are distributions from Hortonworks, Cloudera, Apache, and IBM (and many others). But you can run Big Data on your mainframe, and a number of mainframe software vendors have recently produced software that connects to Big Data from z/OS. It’s becoming integrated. So long live the mainframe with Big Data.
We’ve also, in this blog, looked at ways that BYOD – personal devices – can be used to access mainframe data, usually through browsers. And many of IBM’s younger presenters at GSE recently were talking about more Windows-like interfaces to mainframe information. Think of it – it’s like 1970 all over again – mainframes in the hands of 20-year-olds! So long live the mainframe with youthful staff and modern-looking interfaces.
We know there are other computing platforms out there, and IBM over the past few years has produced hybrid hardware that contains a mainframe and blades for running these other platforms. This summer’s zBC12 (Business Class) followed last year’s announcement of the zEC12 (Enterprise Class). And 2011 saw the z114, and 2010 gave us the z196. So long live the mainframe and its ability to embrace other platforms. (And I haven’t even mentioned how successfully you can run Linux on a mainframe.)
And thinking about mainframes embracing other technologies, CA has just announced the general availability of technology designed, they say, to help customers drive down the cost of storing data processed on IBM System z by backing up the data and archiving it to the cloud.
What that means is by using CA Cloud Storage for System z and the Riverbed Whitewater appliance, customers can back up System z storage data to Amazon Simple Storage Service (Amazon S3), a storage infrastructure designed for mission-critical and primary data storage, or to Amazon Glacier, an extremely low-cost storage service for which retrieval times of several hours are suitable. Both services are highly secure and scalable and designed to be durable. In addition, disaster recovery readiness is improved and AWS cloud storage is accessed without changing the existing back-up infrastructure.
So, yet again, we can say, long live the mainframe for the way it’s embracing cloud computing.
As a side note: Amazon has Amazon Elastic MapReduce (EMR), which uses Hadoop to provide Web services.
IBM has taken over StoredIQ, Star Analytics, and The Now Factory for Big Data Analytics or Business Analytics. And it took over SoftLayer Technologies for its cloud computing infrastructure. It’s making sure it has its hands on the tools and the people who are developing these newer technologies.
My conclusion is that there are new problems that need to be solved. And there are new technologies available to solve them. But so often those exciting new things are very similar to things that we mainframers have dealt with before. And where they seem different, mainframe environments are able to work with them and bring them into the fold.
There’s really no danger that mainframes are going away anytime soon. So, we’re very safe in saying, “vivat mainframe”.
On a completely different topic...
Please complete the mainframe users’ survey at www.arcati.com/usersurvey14. And if you’re a vendor, get your free entry in the Arcati Mainframe Yearbook 2014 by completing the form at www.arcati.com/vendorentry.
Sunday, 17 November 2013
IOD - what you missed!
Well, that’s it – the exhibition stands have been taken down, the speakers have flown out, the attendees are all back home with their families, and the organizers have packed away their banners. #IBMIOD has come to an end for another year – but what an event it was!
Those people lucky enough to attend were able to find out the latest thinking from IBM and partners in terms of DB2, IMS, Big Data and Analytics, Tools and Utilities for DB2 and IMS, and Cross Platform sessions. In addition, there were client-led session, hands-on labs and workshops, expert panel sessions, and birds of a feather sessions. And there were even more relaxing sessions, such as the “Rock the Mainframe” System z reception.
This year’s theme for the event that ran from Sunday 3 November to Thursday 7 November was “Think Big. Deliver Big. WIN BIG” – and that was reflected in a number of the announcements from IBM that were made during the conference. Looking for correlations or anomalies in your Big Data – then you need IBM SmartCloud Analytics Predictive Insights. Looking to find the optimum place to put your data – in terms of speed versus cost – then you need IBM SmartCloud Virtual Storage Center. Want the fastest Hadoop appliance around – then it’s the IBM PureData System for Hadoop that you need. Need to anonymize or mask data from various sources – try InfoSphere Data Privacy for Hadoop. Like to see what’s going on with your big data sets – then look out for InfoSphere Governance Dashboard.
8:15 Wednesday morning in “The Next Generation of Innovation” session, delegates were treated to tennis star Serena Williams as a featured speaker. There were also some very interesting keynote sessions with IBM executives sharing their thinking about Business Analytics, Enterprise Content Management, Information Management, and Business Leadership. Plenty of food for thought there for delegates to take back to their organizations.
The EXPO was a great place to visit to talk to all sorts of vendors and get a feel for what they thought was important and how their products and services might make a difference at individual sites. With so many vendors attending, it was the ideal place to really compare and contrast what was on offer.
And, of course, if you weren’t able to make the conference, there was Livestream, which broadcast some of the sessions, such as Monday’s opening general session, Win Big in the New Era of Computing. And there were a host of other sessions over the four days. Similarly, the Video Library allowed people to watch replays from general sessions, keynotes, selected elective sessions and sponsor interviews directly from the Livestream library. There was also an online photo gallery allowing non-attendees and attendees to see “the action each day”.
Let’s not forget the buzz about the conference in the Twittersphere. In a week that saw shares in Twitter not only go on sale but pretty much double in price, it was interesting to see how people were using Twitter to tell others what they were enjoying at the conference. And the IOD Web site kept everyone up-to-date with the #IBMIOD tweets.
So with tired delegates, speakers, vendors, and organizers having made their way home, and those people who followed events at Madalay Bay, Las Vegas from a distance, they can all be confident that Information On Demand 2013 was a hugely useful event to have attended in person or virtually. And the organizers are going to have to work amazingly hard to top this event next year.
On a completely different topic...
Please complete the mainframe users’ survey at www.arcati.com/usersurvey14. And if you’re a vendor, get your free entry in the Arcati Mainframe Yearbook 2014 by completing the form at www.arcati.com/vendorentry.
Those people lucky enough to attend were able to find out the latest thinking from IBM and partners in terms of DB2, IMS, Big Data and Analytics, Tools and Utilities for DB2 and IMS, and Cross Platform sessions. In addition, there were client-led session, hands-on labs and workshops, expert panel sessions, and birds of a feather sessions. And there were even more relaxing sessions, such as the “Rock the Mainframe” System z reception.
This year’s theme for the event that ran from Sunday 3 November to Thursday 7 November was “Think Big. Deliver Big. WIN BIG” – and that was reflected in a number of the announcements from IBM that were made during the conference. Looking for correlations or anomalies in your Big Data – then you need IBM SmartCloud Analytics Predictive Insights. Looking to find the optimum place to put your data – in terms of speed versus cost – then you need IBM SmartCloud Virtual Storage Center. Want the fastest Hadoop appliance around – then it’s the IBM PureData System for Hadoop that you need. Need to anonymize or mask data from various sources – try InfoSphere Data Privacy for Hadoop. Like to see what’s going on with your big data sets – then look out for InfoSphere Governance Dashboard.
8:15 Wednesday morning in “The Next Generation of Innovation” session, delegates were treated to tennis star Serena Williams as a featured speaker. There were also some very interesting keynote sessions with IBM executives sharing their thinking about Business Analytics, Enterprise Content Management, Information Management, and Business Leadership. Plenty of food for thought there for delegates to take back to their organizations.
The EXPO was a great place to visit to talk to all sorts of vendors and get a feel for what they thought was important and how their products and services might make a difference at individual sites. With so many vendors attending, it was the ideal place to really compare and contrast what was on offer.
And, of course, if you weren’t able to make the conference, there was Livestream, which broadcast some of the sessions, such as Monday’s opening general session, Win Big in the New Era of Computing. And there were a host of other sessions over the four days. Similarly, the Video Library allowed people to watch replays from general sessions, keynotes, selected elective sessions and sponsor interviews directly from the Livestream library. There was also an online photo gallery allowing non-attendees and attendees to see “the action each day”.
Let’s not forget the buzz about the conference in the Twittersphere. In a week that saw shares in Twitter not only go on sale but pretty much double in price, it was interesting to see how people were using Twitter to tell others what they were enjoying at the conference. And the IOD Web site kept everyone up-to-date with the #IBMIOD tweets.
So with tired delegates, speakers, vendors, and organizers having made their way home, and those people who followed events at Madalay Bay, Las Vegas from a distance, they can all be confident that Information On Demand 2013 was a hugely useful event to have attended in person or virtually. And the organizers are going to have to work amazingly hard to top this event next year.
On a completely different topic...
Please complete the mainframe users’ survey at www.arcati.com/usersurvey14. And if you’re a vendor, get your free entry in the Arcati Mainframe Yearbook 2014 by completing the form at www.arcati.com/vendorentry.
Sunday, 10 November 2013
Guide Share Europe 2013
The Guide Share Europe Conference at Whittlebury Manor was as excellent this year as in previous years. I was only able to make Day 1 on 5 November, but I had a great day. Apart from the 5 star presentations, it’s always fun to catch up with old friends and people I’ve spoken to at webinars, but never actually seen. Plus there’s an opportunity to catch up with a number of vendors and find out what’s happening with them and business in general.
The day started with a couple of keynotes from Tesco’s Tomas Kadlec talking about Technology the retailers battlefield – zSeries reports for duty!”, and the University of Bedfordshire’s Dr Herbert Daly talking about “Re-framing the mainframe: new generations and regenerations on System z”.
I chair the Virtual IMS user group and the Virtual CICS user group, so my time is always split between the CICS and IMS sessions. This year, I started with IBM’s Kyle Milner’s “z/OS Explorer and CICS Explorer (5.1.1)”. Kyle started by saying that z/OS Explorer is really called IBM Explorer for z/OS, and V2.1 is separate from CICS Explorer, which integrates with it. Z/OS Explorer is a desktop tool that integrates with MQ Explore, Data Studio, Rational tools (RTC), Rational Developer for z (RDz), IMS Enterprise Suite Explorer, and other tools. It allows users to view, delete, and create files on z/OS and Linux; work on SPOOL files; and much more. It’s installed using Installation Manager in a process that’s much like getting apps from the apps store. CICS Explorer lets users create new program definitions, clone resources, and other life-cycle operations. It’s built on the Eclipse framework V4.2.2.
IBM’s Greg Vance spoke about “GDPS Active-Active and IMS replication”. He described how recovery involved two concepts: the Recovery Point Objective and the Recovery Time Objective. He looked at how recovery had evolved to the point where people wanted almost immediate recovery with almost no lost data. Active-Active replication involves stopping sending transactions to one database, waiting for the last transaction to replicate across, and then sending transactions to the second database. The transactions caught before the switch over just appear a bit slow to the user. For this to work with IMS, you need InfoSphere Data Replication for IMS for z/OS V1.11. Because it uses asynchronous replication, there are no restrictions on the distance between databases. There’s low latency because of the use of parallelism. And there’s transaction consistency.
Back at the CICS stream, I saw IBM’s David Harris talk about “Eliminating the batch window with modern batch”. David starting by explaining that batch jobs often had to run when online services were down because they needed exclusive access to resources. However, there are many drivers to keep the online system available the whole time leaving little or no time for traditional batch applications to run. The solution he proposed involved running batch at the same time as the online system – and this batch system relied on Java. It comes with a big plus in that it can run in a zAAP coprocessor. Using the Batch Data Stream Framework (BDSF), it allows checkpointing, and business objects can be re-used. The batch container is a long-running CICS job, and WebSphere Application Server (WAS) is used to schedule the jobs into CICS.
Informatica’s John Boyle spoke about “IMS test data management”. He explained that we needed only a subset of data to work on in testing, and we need to hide sensitive data – particularly in light of data privacy legislation and to reduce the risk of sensitive data loss. John also stressed the need for the test data to be kept current and internally consistent. Data masking is the technique that hides personal data and it must be consistent across the data. Test software must allow policies to be applied and maintain referential integrity. It first has to establish what to mask and how to mask.
IBM’s Paul Fletcher spoke about “IMS 13 Native SQL for COBOL”. A pre-req for this COBOL V5.1, which has only just been released. COBOL programs supply SQL keywords and support static and dynamic SQL. At the moment, IMS supports only dynamic SQL. Users need to declare tables, define an SQL Communication Area (SQLCA), which is like a PCB, possibly define an SQL Descriptor Area (SQLDA), declare data items for passing data between IMS and host languages, code SQL statements to access IMS, check the SQLCA to verify the execution of the SQL statements, and handle any SQL error codes. Paul told the group that there are three types of dynamic SQL. Firstly, where the whole SQL is known when the program is written. Secondly, where the SQL is known but the value can vary. And, thirdly, where none of the SQL is known – it’s read from a file. Users need to fully qualify all tables and columns; use a WHERE clause for key fields; and use PREPARE.
The exhibition hall was packed and lively, giving people a chance to find out about various products and services. An excellent day of learning and networking was rounded off by fireworks and a barbecue dinner. I’m sorry I couldn’t make the second day. If you didn’t make GSE this year, I recommend that you go next year.
The day started with a couple of keynotes from Tesco’s Tomas Kadlec talking about Technology the retailers battlefield – zSeries reports for duty!”, and the University of Bedfordshire’s Dr Herbert Daly talking about “Re-framing the mainframe: new generations and regenerations on System z”.
I chair the Virtual IMS user group and the Virtual CICS user group, so my time is always split between the CICS and IMS sessions. This year, I started with IBM’s Kyle Milner’s “z/OS Explorer and CICS Explorer (5.1.1)”. Kyle started by saying that z/OS Explorer is really called IBM Explorer for z/OS, and V2.1 is separate from CICS Explorer, which integrates with it. Z/OS Explorer is a desktop tool that integrates with MQ Explore, Data Studio, Rational tools (RTC), Rational Developer for z (RDz), IMS Enterprise Suite Explorer, and other tools. It allows users to view, delete, and create files on z/OS and Linux; work on SPOOL files; and much more. It’s installed using Installation Manager in a process that’s much like getting apps from the apps store. CICS Explorer lets users create new program definitions, clone resources, and other life-cycle operations. It’s built on the Eclipse framework V4.2.2.
IBM’s Greg Vance spoke about “GDPS Active-Active and IMS replication”. He described how recovery involved two concepts: the Recovery Point Objective and the Recovery Time Objective. He looked at how recovery had evolved to the point where people wanted almost immediate recovery with almost no lost data. Active-Active replication involves stopping sending transactions to one database, waiting for the last transaction to replicate across, and then sending transactions to the second database. The transactions caught before the switch over just appear a bit slow to the user. For this to work with IMS, you need InfoSphere Data Replication for IMS for z/OS V1.11. Because it uses asynchronous replication, there are no restrictions on the distance between databases. There’s low latency because of the use of parallelism. And there’s transaction consistency.
Back at the CICS stream, I saw IBM’s David Harris talk about “Eliminating the batch window with modern batch”. David starting by explaining that batch jobs often had to run when online services were down because they needed exclusive access to resources. However, there are many drivers to keep the online system available the whole time leaving little or no time for traditional batch applications to run. The solution he proposed involved running batch at the same time as the online system – and this batch system relied on Java. It comes with a big plus in that it can run in a zAAP coprocessor. Using the Batch Data Stream Framework (BDSF), it allows checkpointing, and business objects can be re-used. The batch container is a long-running CICS job, and WebSphere Application Server (WAS) is used to schedule the jobs into CICS.
Informatica’s John Boyle spoke about “IMS test data management”. He explained that we needed only a subset of data to work on in testing, and we need to hide sensitive data – particularly in light of data privacy legislation and to reduce the risk of sensitive data loss. John also stressed the need for the test data to be kept current and internally consistent. Data masking is the technique that hides personal data and it must be consistent across the data. Test software must allow policies to be applied and maintain referential integrity. It first has to establish what to mask and how to mask.
IBM’s Paul Fletcher spoke about “IMS 13 Native SQL for COBOL”. A pre-req for this COBOL V5.1, which has only just been released. COBOL programs supply SQL keywords and support static and dynamic SQL. At the moment, IMS supports only dynamic SQL. Users need to declare tables, define an SQL Communication Area (SQLCA), which is like a PCB, possibly define an SQL Descriptor Area (SQLDA), declare data items for passing data between IMS and host languages, code SQL statements to access IMS, check the SQLCA to verify the execution of the SQL statements, and handle any SQL error codes. Paul told the group that there are three types of dynamic SQL. Firstly, where the whole SQL is known when the program is written. Secondly, where the SQL is known but the value can vary. And, thirdly, where none of the SQL is known – it’s read from a file. Users need to fully qualify all tables and columns; use a WHERE clause for key fields; and use PREPARE.
The exhibition hall was packed and lively, giving people a chance to find out about various products and services. An excellent day of learning and networking was rounded off by fireworks and a barbecue dinner. I’m sorry I couldn’t make the second day. If you didn’t make GSE this year, I recommend that you go next year.
Sunday, 3 November 2013
When worlds collide
We know that mainframes are rock solid workhorses that ensure the banks and insurance companies and airlines and pretty much every other large organization get their work done correctly and swiftly. And we know that access to mainframes has been extended outside the world of green screens to anyone on a browser with proper authorization. And we also know that there’s little distinction between the world of cloud computing and distributed mainframe computing. But the latest big thing is Big Data – and that seems like a different world.
Big Data is used to refer to huge amounts (exabytes) of data, often unstructured, that can originate from a variety of sources – such as cameras, weather satellites, credit card machines, barcode readers, the Internet of Things, anything! This Big Data usually sits on Linux or Windows boxes and some of the early developers were Google, Amazon, and Facebook. The data is stored in HBase, a non-relational, distributed database, written in Java. And the file system is what’s called a Hadoop Distributed File System (HDFS). At runtime, a process maps the data and reduces it – that’s called MapReduce.
So how do these two worlds come together? For a start a lot of the things you need for Big Data are Open Source and come from the Apache Foundation. IBM is a member of the foundation and has a number of products that extend Big Data’s functionality. IBM provides InfoSphere BigInsights, Data Stage, Streams, and Guardium. There’s Big SQL with Big Insights V2.1, and the spreadsheet-like Big Sheets.
If you want to run Big Data – Hadoop – on your mainframe, you’ll need to do it in a Linux partition (Linux on System z). But IBM isn’t the only mainframe software vendor that’s getting in on the act. We’ve recently heard from BMC, Syncsort, Compuware, and Informatica about their products.
BMC has extended its Control-M automated mainframe job scheduler with Control-M for Hadoop. The product enables the creation and management of Hadoop workflows in an automated environment and is aimed at Hadoop application developers and enterprise IT administrators who are using Hadoop as part of their production workload.
Syncsort has Hadoop Connectivity, which prevents Hadoop becoming another silo within an enterprise. The product makes it easy to get data in and out of Hadoop. The product provides: native connectivity to all major data sources and targets; native mainframe connectivity and support for EBCDIC/ASCII, VSAM, Packed decimal, Comp-3, and more; heterogeneous database access on Hadoop; direct I/O access for faster data transfers; and high-performance compression.
Compuware has extended its Application Performance Management (APM) software with Compuware APM for Big Data. This, they claim, allows organizations to tame Big Data applications to eliminate inefficiencies and rapidly identify and resolve problems. Using PurePath Technology, it provides visibility into Hadoop and NoSQL applications. Organizations, they say, use Compuware APM for Big Data to reduce costs, analyse issues, and ensure optimal efficiency from their Big Data investments.
Informatica PowerExchange for Hadoop provides native high-performance connectivity to the Hadoop Distributed File System (HDFS). It enables organizations to take advantage of Hadoop’s storage and processing power using their existing IT infrastructure and resources. PowerExchange for Hadoop can bring any and all enterprise data into Hadoop for data integration and processing. Fully integrated with Informatica PowerCenter, it moves data into and out of Hadoop in batch or real time using universal connectivity to all data, including mainframe, databases, and applications, both on-premises and in the cloud. Informatica PowerCenter Big Data Edition is, they claim, highly scalable, high-performance enterprise data integration software that works with both Hadoop and traditional data management infrastructures.
Clearly, these two different worlds have more than collided – we are beginning to see the integration of these previously quite separate worlds with software from a number of vendors helping users with the integration process. And as users, we get the best of both worlds!
Big Data is used to refer to huge amounts (exabytes) of data, often unstructured, that can originate from a variety of sources – such as cameras, weather satellites, credit card machines, barcode readers, the Internet of Things, anything! This Big Data usually sits on Linux or Windows boxes and some of the early developers were Google, Amazon, and Facebook. The data is stored in HBase, a non-relational, distributed database, written in Java. And the file system is what’s called a Hadoop Distributed File System (HDFS). At runtime, a process maps the data and reduces it – that’s called MapReduce.
So how do these two worlds come together? For a start a lot of the things you need for Big Data are Open Source and come from the Apache Foundation. IBM is a member of the foundation and has a number of products that extend Big Data’s functionality. IBM provides InfoSphere BigInsights, Data Stage, Streams, and Guardium. There’s Big SQL with Big Insights V2.1, and the spreadsheet-like Big Sheets.
If you want to run Big Data – Hadoop – on your mainframe, you’ll need to do it in a Linux partition (Linux on System z). But IBM isn’t the only mainframe software vendor that’s getting in on the act. We’ve recently heard from BMC, Syncsort, Compuware, and Informatica about their products.
BMC has extended its Control-M automated mainframe job scheduler with Control-M for Hadoop. The product enables the creation and management of Hadoop workflows in an automated environment and is aimed at Hadoop application developers and enterprise IT administrators who are using Hadoop as part of their production workload.
Syncsort has Hadoop Connectivity, which prevents Hadoop becoming another silo within an enterprise. The product makes it easy to get data in and out of Hadoop. The product provides: native connectivity to all major data sources and targets; native mainframe connectivity and support for EBCDIC/ASCII, VSAM, Packed decimal, Comp-3, and more; heterogeneous database access on Hadoop; direct I/O access for faster data transfers; and high-performance compression.
Compuware has extended its Application Performance Management (APM) software with Compuware APM for Big Data. This, they claim, allows organizations to tame Big Data applications to eliminate inefficiencies and rapidly identify and resolve problems. Using PurePath Technology, it provides visibility into Hadoop and NoSQL applications. Organizations, they say, use Compuware APM for Big Data to reduce costs, analyse issues, and ensure optimal efficiency from their Big Data investments.
Informatica PowerExchange for Hadoop provides native high-performance connectivity to the Hadoop Distributed File System (HDFS). It enables organizations to take advantage of Hadoop’s storage and processing power using their existing IT infrastructure and resources. PowerExchange for Hadoop can bring any and all enterprise data into Hadoop for data integration and processing. Fully integrated with Informatica PowerCenter, it moves data into and out of Hadoop in batch or real time using universal connectivity to all data, including mainframe, databases, and applications, both on-premises and in the cloud. Informatica PowerCenter Big Data Edition is, they claim, highly scalable, high-performance enterprise data integration software that works with both Hadoop and traditional data management infrastructures.
Clearly, these two different worlds have more than collided – we are beginning to see the integration of these previously quite separate worlds with software from a number of vendors helping users with the integration process. And as users, we get the best of both worlds!
Sunday, 13 October 2013
Guide Share Europe annual conference 2013
The Guide Share Europe (GSE) UK Annual Conference is taking place on 5-6 November at its regular home in Whittlebury Hall, Whittlebury, Near Towcester, Northamptonshire NN12 8QH, UK.
Sponsors this year include IBM, Computacenter, EMC2, Attachmate Suse, PKWARE, Blenheim Software International Ltd, BMC Software, CA Technologies, Compuware, IntelliMagic, Optica, Oracle, RSM Partners, and Sett. And there will be over 30 vendors in the associated exhibition.
There’s the usual amazing range of streams – and, to be honest, there are a number of occasions when I would like to be in two or more places at once over the two days. The streams are: CICS, IMS, DB2, Enterprise Security, Large Systems Working Group, Network Management Working Group, zLinux, Storage Management, TWS (Tivoli Workload Automation), Automation & Monitoring, New Technologies, 101, Application Development, MQ, Workshop: IBM z/OS Explorer, UKCMG, and Workshop: Linux Installation.
There are also keynotes from Tesco’s Tomas Kadlec talking about “Technology the retailers battlefield - z series reports for duty!”, Dr Herbert Daly (Department of Computer Science and Technology, University of Bedfordshire) talking about “Re-framing the Mainframe: New Generations and Regenerations on System z”, and Trident Service’s Bob Rogers talking about “A Perspective on System z Capacity Delivery - Past and Future”.
At this year’s conference there will be well over 160 hours of education covering most aspects of mainframe technology – more than last year. This year, there will be 17 streams, many with 11 sessions, plus three keynotes.
There is still time to register, and the organizers are expecting the daily total of delegates to exceed 300 – as it did last year.
The popular 101 sessions give newcomers and those unfamiliar with parts of the mainframe infrastructure a basic understanding of that mainframe technology and how it works.
You can find out more details about the conference at http://tyc.gse.org.uk/.
If you’re still debating whether to go, let me recommend it to you. The quality of presentations is always excellent. And the networking opportunities are brilliant. If you are going, I look forward to seeing you there.
Sponsors this year include IBM, Computacenter, EMC2, Attachmate Suse, PKWARE, Blenheim Software International Ltd, BMC Software, CA Technologies, Compuware, IntelliMagic, Optica, Oracle, RSM Partners, and Sett. And there will be over 30 vendors in the associated exhibition.
There’s the usual amazing range of streams – and, to be honest, there are a number of occasions when I would like to be in two or more places at once over the two days. The streams are: CICS, IMS, DB2, Enterprise Security, Large Systems Working Group, Network Management Working Group, zLinux, Storage Management, TWS (Tivoli Workload Automation), Automation & Monitoring, New Technologies, 101, Application Development, MQ, Workshop: IBM z/OS Explorer, UKCMG, and Workshop: Linux Installation.
There are also keynotes from Tesco’s Tomas Kadlec talking about “Technology the retailers battlefield - z series reports for duty!”, Dr Herbert Daly (Department of Computer Science and Technology, University of Bedfordshire) talking about “Re-framing the Mainframe: New Generations and Regenerations on System z”, and Trident Service’s Bob Rogers talking about “A Perspective on System z Capacity Delivery - Past and Future”.
At this year’s conference there will be well over 160 hours of education covering most aspects of mainframe technology – more than last year. This year, there will be 17 streams, many with 11 sessions, plus three keynotes.
There is still time to register, and the organizers are expecting the daily total of delegates to exceed 300 – as it did last year.
The popular 101 sessions give newcomers and those unfamiliar with parts of the mainframe infrastructure a basic understanding of that mainframe technology and how it works.
You can find out more details about the conference at http://tyc.gse.org.uk/.
If you’re still debating whether to go, let me recommend it to you. The quality of presentations is always excellent. And the networking opportunities are brilliant. If you are going, I look forward to seeing you there.
Sunday, 18 August 2013
Optimum performance from CICS
The July meeting of the Virtual CICS user group included a presentation entitled, “Extracting optimum performance out of CICS”, and was presented by Satish Tanna, IBM’s CICS and CICS Tools Technical Specialist. The session was introduced by Ted Caffarelli, CICS Tools Product Line Manager with IBM.
Satish told the user group that he would be talking about using CICS Tools to help with CICS Threadsafe and consolidation projects.
Being threadsafe modernizes CICS applications and reduces TCB switching and CPU usage. It also increases the number of simultaneous CICS tasks that can run in a single CICS region, which reduces the need for vast numbers of CICS systems, and saves on the cost of administering those systems and other overheads. It also better exploits modern z-Series hardware.
Each TCB switch is approximately 2000 instructions. CICS TS V5.1, non-threadsafe DB2, MQ, and IMS transactions switch TCBs for each SQL statement or MQ command. So reducing instruction path length reduces costs and saves money for an organization.
CICS Tools can help to create threadsafe applications. Satish Tanna suggested that there are four stages in creating a threadsafe application. Step 1 is to identify applications that have a high number of TCB switches and identify programs in those transactions that are good threadsafe candidates.
Step 2 is to analyse programs to ensure the logic is threadsafe. Step 3 is to implement threadsafe programs. And the final step is to measure the results. CICS PA can be used for steps 1 and 4. CICS IA can be used for step 2. And CICS CM can be used for step 3.
CICS Performance Analyzer (PA) can analyse your CICS applications to determine which ones are good candidates for threadsafe. It looks at how many switches occurred, how much CPU time was used, delays, and how much they cost.
CICS Interdependency Analyzer (IA) can be used to determine the cause of a high number of Change TCB modes. It looks at what commands are issued by the transaction, how many commands are threadsafe, whether there are any DB2, MQ, or IMS commands, whether there are any Dynamic COBOL commands, whether there are any inhibiting commands, and which commands cause a TCB swap and where they are in the sequence of events.
Sites can also use CICS IA to verify that program logic is threadsafe. It looks for serialization techniques when accessing shared resources, enqueue and dequeue, compare and swap, reviews usage of ADDRESS CWA, EXTRACT EXIT, and GETMAIN SHARED. CICS will provide threadsafe access to its resources, eg files and queues.
CICS Configuration Manager (CM) Packaging, Transformation, and Migration facilities can be used to manage programs.
CICS PA can then be used to compare the results using the CICS PA Transaction Profile Report. This can quickly show a comparison between before and after the threadsafe project.
When it comes to consolidation, Satish Tanna told the user group that using CICS TS V5.1 scalability can consolidate CICS systems to simplify management. New and improved capabilities in CICS TS V5.1 provide greater single region scalability by doubling the MAXTASK limit to 2000. There’s greater usage of 64-bit storage and reduced usage of 24-bit storage. There’s greater application parallelism through threadsafe API and SPI extensions. There’s greater system parallelism through optimized TCB usage. There are Java performance improvements from 64-bit Java 7 support. And there’s greater access to 64-bit application storage when using Assembler programs.
CICS Deployment Assistant (DA) can discover CICS and CICSPlex system topology. CICS IA can analyse application resources and interdependencies. CICS CM can implement region consolidation, including CSD and CPSM BAS resources. CICS PA can measure performance.
CICS DA will discover Sysplex, CICS assets, and other address spaces. It can visualize assets and interconnections graphically. And it can export discovery data for reporting.
More information about the Virtual CICS user group can be found at http://fundi.com/virtualcics/.
Satish told the user group that he would be talking about using CICS Tools to help with CICS Threadsafe and consolidation projects.
Being threadsafe modernizes CICS applications and reduces TCB switching and CPU usage. It also increases the number of simultaneous CICS tasks that can run in a single CICS region, which reduces the need for vast numbers of CICS systems, and saves on the cost of administering those systems and other overheads. It also better exploits modern z-Series hardware.
Each TCB switch is approximately 2000 instructions. CICS TS V5.1, non-threadsafe DB2, MQ, and IMS transactions switch TCBs for each SQL statement or MQ command. So reducing instruction path length reduces costs and saves money for an organization.
CICS Tools can help to create threadsafe applications. Satish Tanna suggested that there are four stages in creating a threadsafe application. Step 1 is to identify applications that have a high number of TCB switches and identify programs in those transactions that are good threadsafe candidates.
Step 2 is to analyse programs to ensure the logic is threadsafe. Step 3 is to implement threadsafe programs. And the final step is to measure the results. CICS PA can be used for steps 1 and 4. CICS IA can be used for step 2. And CICS CM can be used for step 3.
CICS Performance Analyzer (PA) can analyse your CICS applications to determine which ones are good candidates for threadsafe. It looks at how many switches occurred, how much CPU time was used, delays, and how much they cost.
CICS Interdependency Analyzer (IA) can be used to determine the cause of a high number of Change TCB modes. It looks at what commands are issued by the transaction, how many commands are threadsafe, whether there are any DB2, MQ, or IMS commands, whether there are any Dynamic COBOL commands, whether there are any inhibiting commands, and which commands cause a TCB swap and where they are in the sequence of events.
Sites can also use CICS IA to verify that program logic is threadsafe. It looks for serialization techniques when accessing shared resources, enqueue and dequeue, compare and swap, reviews usage of ADDRESS CWA, EXTRACT EXIT, and GETMAIN SHARED. CICS will provide threadsafe access to its resources, eg files and queues.
CICS Configuration Manager (CM) Packaging, Transformation, and Migration facilities can be used to manage programs.
CICS PA can then be used to compare the results using the CICS PA Transaction Profile Report. This can quickly show a comparison between before and after the threadsafe project.
When it comes to consolidation, Satish Tanna told the user group that using CICS TS V5.1 scalability can consolidate CICS systems to simplify management. New and improved capabilities in CICS TS V5.1 provide greater single region scalability by doubling the MAXTASK limit to 2000. There’s greater usage of 64-bit storage and reduced usage of 24-bit storage. There’s greater application parallelism through threadsafe API and SPI extensions. There’s greater system parallelism through optimized TCB usage. There are Java performance improvements from 64-bit Java 7 support. And there’s greater access to 64-bit application storage when using Assembler programs.
CICS Deployment Assistant (DA) can discover CICS and CICSPlex system topology. CICS IA can analyse application resources and interdependencies. CICS CM can implement region consolidation, including CSD and CPSM BAS resources. CICS PA can measure performance.
CICS DA will discover Sysplex, CICS assets, and other address spaces. It can visualize assets and interconnections graphically. And it can export discovery data for reporting.
More information about the Virtual CICS user group can be found at http://fundi.com/virtualcics/.
Sunday, 28 July 2013
New Business Class baby
Anyone who’s been on holiday this week would probably have been holidaying on Mars to have missed Tuesday’s excited announcement from IBM of its new zBC12 mainframe computer! The zBC12 follows last year’s announcement of the zEC12 (Enterprise Class), 2011 saw the z114, and 2010 gave us the z196. So what’s special about the new baby?
Well, the zEnterprise BC12 (zBC12) features a 4.2GHz processor, and, for cloud computing, it can consolidate up to 40 virtual servers per core or up to 520 in a single footprint. It offers similar capabilities to the IBM zEC12, including specialty processors. There’s the Integrated Facility for Linux (IFL) engine for running Linux applications, and the System z Application Assist Processor (zAAP) and System z Integrated Information Process (zIIP) for off-core workload processing. The big difference is that the zBC12 has a maximum memory of 496GB compared to the zEC12’s maximum of 3TB, and it has more limited connectivity options.
If you need to ask the price, as they say, you can’t afford it, but a new zBC12 starts at $75,000, which is a very good price tag. IBM also claims that it can help customers save up to 55% over their x86 distributed environments.
One big difference with this year’s announcement is that IBM is also launching a Linux-only based version of the zBC12, which it’s calling the Enterprise Linux Server (ELS). This is aimed at first-time zEnterprise users. The deal is that the product includes hardware, hypervisor, and three-years of maintenance service, plus, it can be upgraded to analytics and cloud mainframe products. I think that’s called upselling!
IBM also released Version 6.3 of z/VM, which supports up to 1TB of real memory, enabling support for more virtual servers than any other platform in a single footprint. It’s also enabled for OpenStack for advanced enterprise-wide service management. In addition, there’s z/OS Version 2.1, which, among all its other features, is very good at securing private cloud workloads.
IBM claims that when integrated with DB2 Analytics Accelerator, the zBC12 can perform business analytics workloads with response times up to nine times faster, with 10 times better price performance, and 14 percent lower total cost of acquisition than the closest competitor. I wonder who they mean by that??
For cloud computing, IBM has enhanced its OMEGAMON for z/OS family to better detect performance problems in the cloud and minimize impact to the business and increase analytics visibility.
The new z/OS 2.1 operating system (mentioned earlier) enables the latest zEnterprise hardware features, including zEDC (Enterprise Data Compression) and SMC-R (Shared Memory Communications over RDMA – and that one stands for Remote Direct Memory Access). The so-called ‘Crypto as a Service’ enables Linux on System z applications to use z/OS services to encrypt data, thereby providing more secure encryption. Additionally, enhancements to z/OS Management Facility improve start up times and provides services for automating workflow, further reducing costs.
Of course, you may have missed IBM’s baby announcement because the news was swamped with Kate and William’s baby prince!
Well, the zEnterprise BC12 (zBC12) features a 4.2GHz processor, and, for cloud computing, it can consolidate up to 40 virtual servers per core or up to 520 in a single footprint. It offers similar capabilities to the IBM zEC12, including specialty processors. There’s the Integrated Facility for Linux (IFL) engine for running Linux applications, and the System z Application Assist Processor (zAAP) and System z Integrated Information Process (zIIP) for off-core workload processing. The big difference is that the zBC12 has a maximum memory of 496GB compared to the zEC12’s maximum of 3TB, and it has more limited connectivity options.
If you need to ask the price, as they say, you can’t afford it, but a new zBC12 starts at $75,000, which is a very good price tag. IBM also claims that it can help customers save up to 55% over their x86 distributed environments.
One big difference with this year’s announcement is that IBM is also launching a Linux-only based version of the zBC12, which it’s calling the Enterprise Linux Server (ELS). This is aimed at first-time zEnterprise users. The deal is that the product includes hardware, hypervisor, and three-years of maintenance service, plus, it can be upgraded to analytics and cloud mainframe products. I think that’s called upselling!
IBM also released Version 6.3 of z/VM, which supports up to 1TB of real memory, enabling support for more virtual servers than any other platform in a single footprint. It’s also enabled for OpenStack for advanced enterprise-wide service management. In addition, there’s z/OS Version 2.1, which, among all its other features, is very good at securing private cloud workloads.
IBM claims that when integrated with DB2 Analytics Accelerator, the zBC12 can perform business analytics workloads with response times up to nine times faster, with 10 times better price performance, and 14 percent lower total cost of acquisition than the closest competitor. I wonder who they mean by that??
For cloud computing, IBM has enhanced its OMEGAMON for z/OS family to better detect performance problems in the cloud and minimize impact to the business and increase analytics visibility.
The new z/OS 2.1 operating system (mentioned earlier) enables the latest zEnterprise hardware features, including zEDC (Enterprise Data Compression) and SMC-R (Shared Memory Communications over RDMA – and that one stands for Remote Direct Memory Access). The so-called ‘Crypto as a Service’ enables Linux on System z applications to use z/OS services to encrypt data, thereby providing more secure encryption. Additionally, enhancements to z/OS Management Facility improve start up times and provides services for automating workflow, further reducing costs.
Of course, you may have missed IBM’s baby announcement because the news was swamped with Kate and William’s baby prince!
Sunday, 21 July 2013
Disappointing figures all round?
It seems that now might not be a good time to invest in IT firms with both IBM and Intel reporting drops – Intel saw second quarter profits down 29% from last year at $2bn, and IBM’s earnings fell by 17% to $3.23bn.
When you look at revenues, you’ll see Intel’s fell by 5% and IBM’s by 3%. You’ll remember that last quarter IBM cut a large number of jobs (over 3,000) and started to make a big deal of its Big Data strategy and cloud computing. Intel is really being hit because of the drop in PC sales as people migrate to smart phones and tablets – and around 95% of those use ARM chips.
IBM’s sales were down 3.3 per cent to $24.92bn, and IBM reported adjusted second-quarter earnings of $32.91 a share. It also raised its guidance for the year and said it expects at least $16.90 a share in adjusted earnings. IBM saw zero revenue growth in its “growth markets”, the so-called emerging markets. Its earnings per share were reasonable and that was due to the earlier cost-cutting measures. IBM announced $1 billion write-off for downsizing. Services sales dropped by 5%, hardware sales dropped by 12%, but software revenue went up by 4%. Intel’s shares fell 3.7% to $23.23 after the company cut its forecast for the year.
It was also bad news for eBay, whose shares fell 6.4% to $53.70 after announcing their second-quarter results.
SAP AG, one of the biggest makers of business-management software, experienced its first software-sales decline in more than three years. Software licences fell around 3% to 982 million euros. Its software sales in Asia dropped by 9%.
Back in May, PC vendor, Dell, reported a 79% drop in net profit, which they attributed to a crash in PC sales as consumers migrate to smartphones and tablets. Dell’s net profit fell to $130m on revenue down 2% to $14bn. Michael Dell is still waiting for a vote on his proposal to buy out the company. He plans to transform the company from a PC vendor to one pushing higher-margin software and services to enterprises. He’s apparently got a $2bn loan from Microsoft.
But it’s not all doom and gloom, doing well is Sandisk, who reported a 43% jump in second-quarter revenue. Yahoo! posted an attributable net income of $331.15m for the second-quarter, which is an increase of 46%, which it attributes to its investment in Chinese e-commerce firm Alibaba and product overhauls. However, its revenues declined by 7% to $1.13bn and that was attributed to a decrease in advertising revenues and Web traffic.
Interestingly, in the USA, tech advertising has increased by 30% with Microsoft, now being the biggest spender. Its spending on advertising has gone up 200% in an attempt to drum up business for Windows 8 and its Surface tablet. It will be interesting to see what effect this has on the company’s bottom line.
So, the picture isn’t all bad for IT companies, and some companies are trying to do something about it, and perhaps dividends are OK, but, taken together, the figures don’t make the happiest of reading for the IT industry as a whole.
When you look at revenues, you’ll see Intel’s fell by 5% and IBM’s by 3%. You’ll remember that last quarter IBM cut a large number of jobs (over 3,000) and started to make a big deal of its Big Data strategy and cloud computing. Intel is really being hit because of the drop in PC sales as people migrate to smart phones and tablets – and around 95% of those use ARM chips.
IBM’s sales were down 3.3 per cent to $24.92bn, and IBM reported adjusted second-quarter earnings of $32.91 a share. It also raised its guidance for the year and said it expects at least $16.90 a share in adjusted earnings. IBM saw zero revenue growth in its “growth markets”, the so-called emerging markets. Its earnings per share were reasonable and that was due to the earlier cost-cutting measures. IBM announced $1 billion write-off for downsizing. Services sales dropped by 5%, hardware sales dropped by 12%, but software revenue went up by 4%. Intel’s shares fell 3.7% to $23.23 after the company cut its forecast for the year.
It was also bad news for eBay, whose shares fell 6.4% to $53.70 after announcing their second-quarter results.
SAP AG, one of the biggest makers of business-management software, experienced its first software-sales decline in more than three years. Software licences fell around 3% to 982 million euros. Its software sales in Asia dropped by 9%.
Back in May, PC vendor, Dell, reported a 79% drop in net profit, which they attributed to a crash in PC sales as consumers migrate to smartphones and tablets. Dell’s net profit fell to $130m on revenue down 2% to $14bn. Michael Dell is still waiting for a vote on his proposal to buy out the company. He plans to transform the company from a PC vendor to one pushing higher-margin software and services to enterprises. He’s apparently got a $2bn loan from Microsoft.
But it’s not all doom and gloom, doing well is Sandisk, who reported a 43% jump in second-quarter revenue. Yahoo! posted an attributable net income of $331.15m for the second-quarter, which is an increase of 46%, which it attributes to its investment in Chinese e-commerce firm Alibaba and product overhauls. However, its revenues declined by 7% to $1.13bn and that was attributed to a decrease in advertising revenues and Web traffic.
Interestingly, in the USA, tech advertising has increased by 30% with Microsoft, now being the biggest spender. Its spending on advertising has gone up 200% in an attempt to drum up business for Windows 8 and its Surface tablet. It will be interesting to see what effect this has on the company’s bottom line.
So, the picture isn’t all bad for IT companies, and some companies are trying to do something about it, and perhaps dividends are OK, but, taken together, the figures don’t make the happiest of reading for the IT industry as a whole.
Sunday, 7 July 2013
IBM’s approach to Big Data
IBM has taken lots of the open source Big Data technologies – like Hadoop, MapReduce, HBase – and added its own technology – like Big Sheets, DB2, DataStage – to create something hugely more powerful.
IBM’s InfoSphere BigInsights builds on open source Hadoop capabilities for enterprise class deployments. The enterprise-level capabilities can be grouped together as: visualization and exploration, development tools, advanced engines, connectors, workload optimization, and administration and security.
IBM claims the business benefits are: quicker time-to-value because of IBM’s technology and support, reduced operational risk, enhanced business knowledge with a flexible analytical platform, and it leverages and complements existing software.
In terms of administration and security, the Web console can start and stop services, run and monitor jobs (applications), explore and modify the file system, and built-in apps make it easy to do common tasks.
The connectors link to databases like DB2, Netezza, Oracle, Teradata. And there’s integration with: InfoSphere Data Stage (data collection and integration), InfoSphere Streams (real-time streams processing), InfoSphere Guardium (security and monitoring), Cognos Business Intelligence (Business Intelligence capabilities), and IBM Platform Computing (cluster/grid infrastructure and management), and more. Big SQL is coming with BigInsights V2.1. This will provide SQL access to data stored in BigInsights through JDBC/ODBC and use rich standard SQL to leverage Map/Reduce parallelism or achieve low-latency.
Advanced engines include an advanced text analytics engine that can automatically identify and understand key information in text. Text Analytics is really useful because most of the world’s data is in unstructured or semi-structured text; social media is full of discussions about products and services; internal information in organizations is locked in blobs, description fields, and sometimes even discarded. It’s been suggested that over 80% of stored information is unstructured – such as e-medical records, hospital reports, case files, police records, emergency calls, tech notes, call logs, online media, insurance claims, Twitter, Facebook, blogs, and forums.
In terms of development tools, there is an Eclipse-based development environment for building and deploying applications. There are developer tools and a set of analytic extractors for fast adoption that reduce coding and debugging time by up to 30% (IBM claims). There are also plug-ins for text analytics, MapReduce programming, Jaql development, Hive query, etc.
Visualization and exploration has Big Sheets, providing Web-based analysis and visualization for users with a familiar spreadsheet-like interface that can define and manage long-running data collection jobs.
Meanwhile, Microsoft has identified Hadoop users as a useful market to get into. Speaking recently at the Hadoop summit, Quentin Clark, corporate VP of data platforms said: “We believe Hadoop is the cornerstone of a sea change coming to all businesses”.
Microsoft is integrating Hadoop with its products and services. And, Clark says that Microsoft intends to stick to the principles of open source by contributing to the Hadoop project, rather than simply using it and adding its own stuff. Hortonworks recently announced management packs for Microsoft System Center Operations Manager and Microsoft System Center Virtual Machine Manager – both products for administering the Hortonworks Data Platform (HDP) distribution.
Apparently Microsoft is positioning itself as a big data player with a powerful set of Business Intelligence (BI) tools. Data Explorer for Excel 2013 is a self-service BI add-in allowing users to import data from a variety of sources, including Hadoop. SQL Server 2012 Parallel Data Warehouse (PDW) is a massively parallel processing data warehousing appliance designed for Hadoop integration. Microsoft is also trying to bring Hadoop into the cloud using Windows Azure.
Businesses can’t ignore Hadoop, and the fact that major software vendors are getting behind it means it’s not going to be some flash-in-the-pan idea. Certainly, I can imagine major organizations looking to get a huge business advantage by embracing the technology now – to be ahead of their competitors. Smaller organizations will probably take a few years before they see a business case for it. By then the IBM products (and Microsoft’s) will be very mature and eminently suitable.
IBM’s InfoSphere BigInsights builds on open source Hadoop capabilities for enterprise class deployments. The enterprise-level capabilities can be grouped together as: visualization and exploration, development tools, advanced engines, connectors, workload optimization, and administration and security.
IBM claims the business benefits are: quicker time-to-value because of IBM’s technology and support, reduced operational risk, enhanced business knowledge with a flexible analytical platform, and it leverages and complements existing software.
In terms of administration and security, the Web console can start and stop services, run and monitor jobs (applications), explore and modify the file system, and built-in apps make it easy to do common tasks.
The connectors link to databases like DB2, Netezza, Oracle, Teradata. And there’s integration with: InfoSphere Data Stage (data collection and integration), InfoSphere Streams (real-time streams processing), InfoSphere Guardium (security and monitoring), Cognos Business Intelligence (Business Intelligence capabilities), and IBM Platform Computing (cluster/grid infrastructure and management), and more. Big SQL is coming with BigInsights V2.1. This will provide SQL access to data stored in BigInsights through JDBC/ODBC and use rich standard SQL to leverage Map/Reduce parallelism or achieve low-latency.
Advanced engines include an advanced text analytics engine that can automatically identify and understand key information in text. Text Analytics is really useful because most of the world’s data is in unstructured or semi-structured text; social media is full of discussions about products and services; internal information in organizations is locked in blobs, description fields, and sometimes even discarded. It’s been suggested that over 80% of stored information is unstructured – such as e-medical records, hospital reports, case files, police records, emergency calls, tech notes, call logs, online media, insurance claims, Twitter, Facebook, blogs, and forums.
In terms of development tools, there is an Eclipse-based development environment for building and deploying applications. There are developer tools and a set of analytic extractors for fast adoption that reduce coding and debugging time by up to 30% (IBM claims). There are also plug-ins for text analytics, MapReduce programming, Jaql development, Hive query, etc.
Visualization and exploration has Big Sheets, providing Web-based analysis and visualization for users with a familiar spreadsheet-like interface that can define and manage long-running data collection jobs.
Meanwhile, Microsoft has identified Hadoop users as a useful market to get into. Speaking recently at the Hadoop summit, Quentin Clark, corporate VP of data platforms said: “We believe Hadoop is the cornerstone of a sea change coming to all businesses”.
Microsoft is integrating Hadoop with its products and services. And, Clark says that Microsoft intends to stick to the principles of open source by contributing to the Hadoop project, rather than simply using it and adding its own stuff. Hortonworks recently announced management packs for Microsoft System Center Operations Manager and Microsoft System Center Virtual Machine Manager – both products for administering the Hortonworks Data Platform (HDP) distribution.
Apparently Microsoft is positioning itself as a big data player with a powerful set of Business Intelligence (BI) tools. Data Explorer for Excel 2013 is a self-service BI add-in allowing users to import data from a variety of sources, including Hadoop. SQL Server 2012 Parallel Data Warehouse (PDW) is a massively parallel processing data warehousing appliance designed for Hadoop integration. Microsoft is also trying to bring Hadoop into the cloud using Windows Azure.
Businesses can’t ignore Hadoop, and the fact that major software vendors are getting behind it means it’s not going to be some flash-in-the-pan idea. Certainly, I can imagine major organizations looking to get a huge business advantage by embracing the technology now – to be ahead of their competitors. Smaller organizations will probably take a few years before they see a business case for it. By then the IBM products (and Microsoft’s) will be very mature and eminently suitable.
Sunday, 30 June 2013
Interesting week!
It’s been an interesting week – the auld enemies, Microsoft and Oracle, have made a joint announcement, SPDY is finding its way into IE11, and IBM has been showing off its mastery of big data at Wimbledon. So let’s take a look at what’s been going on.
It’s not quite a return to the 1960s with love breaking out all around, but large organizations are realizing that customers and, more importantly, potential customers, use hardware and software from other vendors – and the best way to do more business is to recognize this and be, at the very least, compatible. And so, with this in mind (I expect), Microsoft and Oracle have joined forces in a new cloud venture that means Microsoft’s Windows Azure cloud-computing service will now run Oracle’s database software, Java programming tools, and application-connecting middleware. Azure customers will be able to run Java, Oracle Database, Oracle WebLogic Server, and even Oracle Linux on Windows Server Hyper-V or Windows Azure, and Oracle will deliver full certification and support.
The benefits are that Microsoft gains additional customers for Azure, and Oracle gains customers for their technology who want to use it in the cloud. And it gives Microsoft something that VMware and Amazon Web services don’t have. Companies using Azure cloud service, which lets them build and run programs online, will be able to put information into Oracle’s database.
With many organizations thinking seriously about moving to the cloud, this alliance provides better choices for IaaS (Infrastructure as a Service), allowing them to rent computing power, storage, and database software over the Internet.
Also this week, Microsoft announced that Internet Explorer 11 will support SPDY (pronounced speedy), the Google-backed protocol for speeding up downloads from Web sites. The open source networking protocol achieves this by prioritizing and multiplexing the transfer of Web page subresources, so that only one connection per client is required. It uses Transport Layer Security (TLS) encryption and transmission headers are compressed. Faster Web pages has got to be a good thing – Firefox and Chrome already use it.
Meanwhile, Google has built QUIC (Quick UDP Internet Connections) into developer versions of Chrome. It’s an alternative to TCP (Transmission Control Protocol) and is designed to cut the round-trip time of the back-and-forth communications between computers on the Internet. User Datagram Protocol (UDP) is faster than TCP, but doesn’t have TCP’s error-checking reliability. QUIC is based on UDP and now provides its own error-correction technology.
So what new things could IBM bring to Wimbledon? It’s been providing up-to-date information for 24 years now, so what’s different in 2013? Well, the answer is more social media involvement.
Last year, it seems, there were around 100 tweets per second during the men’s final, won by Roger Federer against Andy Murray. So this year, IBM is providing social sentiment analysis, using its content analytics software. That means it can, for example, gauge how popular Andy Murray is in different parts of the UK!
IBM’s SPSS predictive analytics software is at the core of SlamTracker, which deploys a mixture of predictive analytics software, data visualization, and kinetic tracking to see what people consistently did when they won. IBM’s Second Sight technology measures player speed, distance, and stamina. This year it’s integrated with HawkEye, the ball-tracking and line-calling technology.
So an interesting week all round.
It’s not quite a return to the 1960s with love breaking out all around, but large organizations are realizing that customers and, more importantly, potential customers, use hardware and software from other vendors – and the best way to do more business is to recognize this and be, at the very least, compatible. And so, with this in mind (I expect), Microsoft and Oracle have joined forces in a new cloud venture that means Microsoft’s Windows Azure cloud-computing service will now run Oracle’s database software, Java programming tools, and application-connecting middleware. Azure customers will be able to run Java, Oracle Database, Oracle WebLogic Server, and even Oracle Linux on Windows Server Hyper-V or Windows Azure, and Oracle will deliver full certification and support.
The benefits are that Microsoft gains additional customers for Azure, and Oracle gains customers for their technology who want to use it in the cloud. And it gives Microsoft something that VMware and Amazon Web services don’t have. Companies using Azure cloud service, which lets them build and run programs online, will be able to put information into Oracle’s database.
With many organizations thinking seriously about moving to the cloud, this alliance provides better choices for IaaS (Infrastructure as a Service), allowing them to rent computing power, storage, and database software over the Internet.
Also this week, Microsoft announced that Internet Explorer 11 will support SPDY (pronounced speedy), the Google-backed protocol for speeding up downloads from Web sites. The open source networking protocol achieves this by prioritizing and multiplexing the transfer of Web page subresources, so that only one connection per client is required. It uses Transport Layer Security (TLS) encryption and transmission headers are compressed. Faster Web pages has got to be a good thing – Firefox and Chrome already use it.
Meanwhile, Google has built QUIC (Quick UDP Internet Connections) into developer versions of Chrome. It’s an alternative to TCP (Transmission Control Protocol) and is designed to cut the round-trip time of the back-and-forth communications between computers on the Internet. User Datagram Protocol (UDP) is faster than TCP, but doesn’t have TCP’s error-checking reliability. QUIC is based on UDP and now provides its own error-correction technology.
So what new things could IBM bring to Wimbledon? It’s been providing up-to-date information for 24 years now, so what’s different in 2013? Well, the answer is more social media involvement.
Last year, it seems, there were around 100 tweets per second during the men’s final, won by Roger Federer against Andy Murray. So this year, IBM is providing social sentiment analysis, using its content analytics software. That means it can, for example, gauge how popular Andy Murray is in different parts of the UK!
IBM’s SPSS predictive analytics software is at the core of SlamTracker, which deploys a mixture of predictive analytics software, data visualization, and kinetic tracking to see what people consistently did when they won. IBM’s Second Sight technology measures player speed, distance, and stamina. This year it’s integrated with HawkEye, the ball-tracking and line-calling technology.
So an interesting week all round.
Sunday, 2 June 2013
Big data – where are we?
At first, people would enter information into their computers, then print it off if they wanted to share the data. Then we had networks and people could electronically share data – and then others could add to it. Pretty much all the data – even in the largest IMS database – had been entered by people or calculated from data entered by people.
But more recently, things have changed. Information stored on computers has come from other sources, for example card readers, CCTV cameras, traffic flow sensors, etc, etc. Almost any device can be given an IP address, connected to a network, and used as a source of data. All these ‘things’, that can and are being connected, has led to the use of the phrase: ‘the Internet of things’. Perhaps not the most precise description, but it indicates that the Internet is being used as a way of getting information from devices – rather than waiting for a human to type in the data.
The other development that we’re all familiar with is the growth in cloud computing. What that means is devices are connected to a nebulous source of storage and processing power. Mainframers, who have been around the block a few times, feel quite happy with this model of dumb terminals connected to some giant processing device that is some distance away and not necessarily visible to the users of the dumb terminals. This is what mainframe computing was like (and still is for some users!). Other computer professionals will recognize this as another version of the client/server model that was once so fashionable.
By having so many sources of data input, you have security and storage issues, but, perhaps more importantly, you have issues about what to do with the data. It’s almost like a person with OCD hoarding old newspaper that they never look at but can’t throw away. What can you do with these vast amounts of data?
The answer is Hadoop. According to the Web site at http://hadoop.apache.org/: “The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.”
So which companies are experienced with Hadoop? Cloudera was probably the best known in the field up until recently. Other companies you may not have heard of are MapR and Hortonworks. Companies you will be familiar with are EMC and VMware who have spun off a company called Pivotal. And there’s Intel, and there’s IBM.
Let’s have a quick look at what’s out there. Apache Hive was developed by Facebook, but is now Open Source. Dremel (from Google) is published, but not yet available. Apache Drill is based on Dremel, but is still in the incubation stage. Cloudera’s Impala was inspired by Dremel. IBM’s offering is Big SQL. Hive is a data warehouse infrastructure built on top of Hadoop. It converts queries into MapReduce jobs. Impala’s SQL query system for Hadoop is Open Source. It uses C++ rather than Java. It doesn’t use MapReduce. Impala only works with Cloudera’s Distribution of Hadoop (CDH).
The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml, and Delphi and other languages.
IBM’s Big SQL is a currently a technology preview. It supports SQL, and JDBC and ODBC client drivers. IBM’s distribution of Hadoop is called BigInsights. Big SQL is similar to Hive and they can cross query. Point query is used for small queries rather than MapReduce. It supports more datatypes than Hive.
So, you can see that there’s lot’s to learn about Hadoop, and I’m sure we’ll be hearing a lot more about BigInsights and Big SQL. My advice is, if you’re looking for a career path, companies are going to need experienced Hadoop people – so get some!
But more recently, things have changed. Information stored on computers has come from other sources, for example card readers, CCTV cameras, traffic flow sensors, etc, etc. Almost any device can be given an IP address, connected to a network, and used as a source of data. All these ‘things’, that can and are being connected, has led to the use of the phrase: ‘the Internet of things’. Perhaps not the most precise description, but it indicates that the Internet is being used as a way of getting information from devices – rather than waiting for a human to type in the data.
The other development that we’re all familiar with is the growth in cloud computing. What that means is devices are connected to a nebulous source of storage and processing power. Mainframers, who have been around the block a few times, feel quite happy with this model of dumb terminals connected to some giant processing device that is some distance away and not necessarily visible to the users of the dumb terminals. This is what mainframe computing was like (and still is for some users!). Other computer professionals will recognize this as another version of the client/server model that was once so fashionable.
By having so many sources of data input, you have security and storage issues, but, perhaps more importantly, you have issues about what to do with the data. It’s almost like a person with OCD hoarding old newspaper that they never look at but can’t throw away. What can you do with these vast amounts of data?
The answer is Hadoop. According to the Web site at http://hadoop.apache.org/: “The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.”
So which companies are experienced with Hadoop? Cloudera was probably the best known in the field up until recently. Other companies you may not have heard of are MapR and Hortonworks. Companies you will be familiar with are EMC and VMware who have spun off a company called Pivotal. And there’s Intel, and there’s IBM.
Let’s have a quick look at what’s out there. Apache Hive was developed by Facebook, but is now Open Source. Dremel (from Google) is published, but not yet available. Apache Drill is based on Dremel, but is still in the incubation stage. Cloudera’s Impala was inspired by Dremel. IBM’s offering is Big SQL. Hive is a data warehouse infrastructure built on top of Hadoop. It converts queries into MapReduce jobs. Impala’s SQL query system for Hadoop is Open Source. It uses C++ rather than Java. It doesn’t use MapReduce. Impala only works with Cloudera’s Distribution of Hadoop (CDH).
The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml, and Delphi and other languages.
IBM’s Big SQL is a currently a technology preview. It supports SQL, and JDBC and ODBC client drivers. IBM’s distribution of Hadoop is called BigInsights. Big SQL is similar to Hive and they can cross query. Point query is used for small queries rather than MapReduce. It supports more datatypes than Hive.
So, you can see that there’s lot’s to learn about Hadoop, and I’m sure we’ll be hearing a lot more about BigInsights and Big SQL. My advice is, if you’re looking for a career path, companies are going to need experienced Hadoop people – so get some!
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