Mainframe Appeal Continues in 9th BMC Survey

October 30, 2014

With most of the over 1100 respondents (91%) reporting that the mainframe remains a viable long-term platform for them and a clear majority (60%) expecting to increase MIPS due to the normal growth of legacy applications and new application workloads the z continues to remain well entrenched. Check out the results for yourself here.

Maybe even more reassurance comes from almost half the respondents who reported that they expect the mainframe to attract and grow new workloads.  Most likely these will be Java and Linux workloads but one-third of the respondents listed cloud as a priority, jumping it up to sixth on the list of mainframe priorities. Mobile was cited as priority by 27% of the respondents followed by big data with 26% respondents.

ibm zec12

Apparently IBM’s steady promotion of cloud, mobile, and big data for the z over the past year is working. At Enterprise2014 IBM even made a big news with real time analytics and Hadoop on the z along with a slew of related announcements.

That new workloads like cloud, mobile, and big data made it into the respondents’ top 10 IT priorities for the year didn’t surprise Jonathan Adams, BMC vice president/general manager for z solutions.  The ease of developing in Java and its portability make it a natural for new workloads today, he noted.

In the survey IT cost reduction/optimization tops the list of IT priorities for 2014 by a large margin, 70% of respondents, followed by application availability, 52%.  Rounding out the top five are application modernization with 48%, data privacy, 47%, and business/IT alignment, 44%. Outsourcing finished out the top 10 priorities with 16%.

When asked to look ahead in terms of MIPS growth, the large majority of respondents expected growth to continue or at least remain steady. Only 9% expected MIPS to decline and 6% expected to eliminate the mainframe.  This number has remained consistent for years, noted Adams. DancingDinosaur periodically checks in with shops that announce plans to eliminate their mainframe and finds that a year later many have barely made any progress.

The top mainframe advantages shouldn’t surprise you:  availability (53%); security (51%); centralized data serving (47%) and transaction throughput (42%). More interesting results emerged when the respondents addressed new workloads. The mainframe’s cloud role includes data access (33%), cloud management from Linux on z (22%) and dynamic test environments via self-service (15%). Surprisingly, when it comes to big data analytics, 34% report that the mainframe acts as their analytics engine. This wasn’t supposed to be the case, at least not until BigInsights and Hadoop on z gained more traction.

Meanwhile, 28% say they move data off platform for analytics, and 14% report they federate mainframe data to an off-platform analytics engine. Yet, more than 81% now incorporate the mainframe into their Big Data strategy, up from 70% previously. The non-finance industries are somewhat more likely to use the mainframe as the big data engine, BMC noted. Those concerned with cost should seriously consider doing their analytics on the z, where the data is. It is costly to keep moving data around.

In terms of mobility, making existing applications accessible for mobile ranked as the top issue followed by developing new mobile applications and securing corporate data on mobile devices. Mobile processing increases for transaction volume came in at the bottom of mobility issues, but that will likely change when mobile transactions start impacting peak workload volumes and trigger increased costs. Again, those concerned about costs should consider IBM’s mobile transaction discount, which was covered by DancingDinsosaur here in the spring.

Since cost reduction is such a big topic again, the survey respondents offered their cost reduction priorities.  Reducing resource usage during peak led the list.  Other cost reduction priorities included consolidating mainframe software vendors, exploiting zIIP and specialty engines (which have distinctly lower cost/MIPS), and moving workloads to Linux on z.

So, judging from the latest BMC survey the mainframe is far from dead. But at least one recent IT consultant and commentator, John Appleby, seems to think so. This prediction has proven wrong so often that DancingDinosaur has stopped bothering to refute it.

BTW, change came to BMC last year  in the form of an acquisition by a venture capital group. Adams reports that the new owners have already demonstrated a commitment to continued investment in mainframe technology products, and plans already are underway for next year’s survey.

DancingDinosaur is Alan Radding. You can follow him on Twitter, @mainframeblog. Or see more of his writing at Technologywriter.com or in wide-ranging blogs here.

IBM Aims to Lead Silicon Era and Beyond

October 22, 2014

Despite dumping its money-losing semiconductor business on GLOBALFOUNDRIES this week and a discouraging 3Q14 financial report, IBM appears determined to drive Moore’s Law.  The law, which produced decades of price/performance gains for IT, will continue to achieve gains but it won’t be solely silicon-based.

How badly do we need Moore’s Law to continue? Dr. Bernard Meyerson, IBM Fellow, VP of Innovation, as part of a keynote presentation at Enterprise2014 put it this way: when it comes to data, there are 6-9 orders of magnitude on the horizon. Today’s zEC12 processor, the fastest commercial processor out there, hasn’t a chance of keeping up for long.

Still, Meyerson isn’t writing off silicon: “Silicon transistors will dominate Information Technology for decades to come but contribute little to its progress,” he declared. To augment the shortcomings of silicon, we will have to look to innovation and the resulting integrated solutions made up of specialized hardware, software, systems, architectures, and network functionality to compensate for lost technology benefits.

Ironically, data center managers actually may find themselves worrying about the slowness of the speed of light and the longer data paths that may result. His question to data center managers: Even at 300,000,000 meters/sec, is light fast enough to keep pace with technology? His answer: Not even close.

The answer lies in new innovative integrated solutions that include 3D integration, synaptic architectures, agile computing (autonomic acceleration), cognitive computing, neuromorphic systems and more. In the near term he suggests data centers to look into advances in FPGA (Field Programmable Gate Array) and GPU acceleration. In the new Power8 systems, FPGAs leverage CAPI to avoid a lot of overhead and delay.

Jon Simon/Feature Photo Service for IBM

 IBM researchers explore new semiconductor materials

 The offloading of IBM’s global commercial semiconductor technology business to GLOBALFOUNDRIES, at a cost of $1.5 billion over three years, doesn’t signal an IBM retreat from the semiconductor business. The deal commits GLOBALFOUNDRIES as IBM’s exclusive server processor semiconductor technology provider for 22 nanometer (nm), 14nm, and 10nm semiconductors for the next 10 years. You can bet the upcoming generation of System z will use 22nm chips and 14nm and 10nm chips for subsequent revs of the z, or whatever they are calling it by then.

This is combined with IBM’s previously announced $3 billion investment over five years for semiconductor technology research to lead in the next generation of computing. Between that investment and the offloading of the semiconductor fabrication business this week combined with the research described at Enterprise2014, you can be sure that IBM will stay involved in the CPU business.  But one thing you should realize now, just throwing more silicon CPUs at the performance challenge, as IT has done for decades, will no longer work. Adds Meyerson: Brute force (more of the same) has run its course.

Full disclosure: DancingDinosaur is NOT a financial analyst. Still, the IBM 3Q14 financials released on Monday isn’t going to thrill IBM investors.  Revenues were down across the board. Of most interest to DancingDinosaur were the results of IBM’s hardware group, STG, which dropped.  Specifically, revenues from Power Systems were down 12% compared with the 2013 period.  Revenues from System x were down 10%, but that’s now Lenovo’s worry.  Revenues from System z fell 35% compared with a year ago while revenues from System Storage decreased 6%. The System z is due for a refresh in 2015, which will undoubtedly entail a significant price/performance gain plus whatever other goodies IBM will load on. This usually gives the z a revenue boost. Power just introduced some new POWER8 machines at Enterprise 2014, which should result in revenue increases in upcoming quarters.

Maybe not so coincidentally on the blog itjungle,  a piece titled 2020 Processor Technology Could Unite Power And Mainframe Chips, by Dan Burger throws yet a few more possibilities at the processor question, especially as it pertains to IBM’s enterprise server platforms, Power and System z. Burger apparently was attending the same session as DancingDinosaur when Bernie Meyerson and others brought up the silicon question. He caught up with Ross Mauri, the general manager of System z, grabbing this interesting quote on the subject: “Now there will have to be investment in the next big thing and so it’s interesting to consider whether the Power chip and the mainframe CMOS chip will merge into one chip for both platforms,” adding “I don’t know what is next in that 2020 time frame based on the technologies we are looking at today—anything is possible.” BTW, 2020 is just a bit more than five years away; DancingDinosaur, who has been covering business and technology since 1975, may not even be retired by then.

DancingDinosaur is Alan Radding. You can follow him on Twitter, @mainframeblog. Or check out more of his technology writing at Technologywriter.com or here.

Hadoop Brings Big Data Analytics to the IBM System z

October 16, 2014

In a previous blog, DancingDinoaur reported on IBM’s initial announcement of Hadoop and other analytic products, like InfoSphere BigInsights, coming to the z. The IBM announcement itself can be found here.

Subsequent sessions at IBM Enterprise2014 delved more deeply into big data, analytics, and real-time analytics. A particularly good series of sessions was offered by Karen Durward, an IBM InfoSphere software product manager specializing in System z data integration. As Durward noted, BigInsights is Apache Hadoop wrapped up to make it easier to use for general IT and business managers.

Specifically, the real-time analytics package for z includes IBM InfoSphere BigInsights for Linux on System z, which combines open-source Apache Hadoop with enhancements to make Hadoop System z enterprise-ready. The solution also includes IBM DB2 Analytics Accelerator (IDAA), which improves data security while delivering a 2000x faster response time for complex data queries.

In her Hadoop on z session, Durward started with the Hadoop framework, which consists of four components:

  1. Common Core—the basic modules (libraries and utilities) on which all components are built
  2. Hadoop Distributed File System (HDFS)—stores data on multiple machines to provide very high aggregate bandwidth across a cluster of machines
  3. MapReduce—the programming model to support the high data volume data processing by the cluster
  4. YARN (Yet Another Resource Negotiator)—the platform used to manage the cluster’s compute resources including scheduling users’ applications. In effect, YARN decouples Hadoop workload and resource management.

The typical Hadoop process sounds deceptively straightforward.  Simply load data into an HDFS cluster, analyze the data in the cluster using MapReduce, write the resulting analysis back into the HDFS cluster. Then just read it.

Sounds easy enough until you try it. Then you need to deal with client nodes and name nodes, exchange metadata, and more. In addition, Hadoop is an evolving technology. Apache continues to add pieces to the environment in an effort to simplify it. For instance, Hive provides the Apache data warehouse framework, accessible using HivQL, and HBase brings Apache’s Hadoop database. Writing Map/Reduce code is a challenge so there is Pig, Apache’s platform for creating long and deep Hadoop source programs, and the list goes on. In short, Hadoop is not easy, especially for IT groups accustomed to relational databases and SQL. That’s why you need tools like BigInsights. The table below is how Durward sees the Hadoop tool landscape.

Software Needs Other Hadoop Products BigInsights
Open Source Apache Hadoop Y Y
Rich SQL on Hadoop (Big SQL) some Y
Tools for Business Users (BigSheets) NA Y
Advanced text analytics NA Y
In-Hadoop analytics NA Y
Rich developer tools NA Y
Enterprise workload & storage mgt. NA Y
Comprehensive suite NA Y

In fact, you need more than BigInsights. “We don’t know how to look at unstructured data,” said Durward. That’s why IBM layers on tools like Big SQL, which helps you query Hadoop’s HBase using industry-standard SQL. You can migrate a relational table to HBase using Big SQL or connect Big SQL via JDBC to run business intelligence and reporting tools, such as Cognos, which also runs on Linux on z. Similarly IBM offers BigSheets, a cloud application that performs ad hoc analytics at web-scale on unstructured and structured content using the familiar spreadsheet format.

Lastly, Hadoop queries often produce free-form text, which requires text analytics to make sense of the results. Not surprisingly, IBM offers BigInsights Text Analytics, a fast, declarative rule-based information extraction (IE) system that extracts insights from unstructured content. This system consists of a fast, efficient runtime that exploits numerous optimization techniques across extraction programs written in Annotation Query Language (AQL), an English-like declarative language for rule-based information extraction.

Hadoop for the z is more flexible than z data center managers may think. You can merge Hadoop data with z transactional data sources and analyze it all together through BigInsights.

So how big will big data be on the z? DancingDinosaur thought it could scale to hundreds of terabytes, even petabytes. Not so. You should limit Hadoop on the z to moderate volumes—from hundreds of gigabytes to tens of terabytes, Durward advises, adding “after that it gets expensive.”

Still, there are many advantages to running Hadoop on the z. To begin, the z brings rock solid security, is fast to deploy, and, through BigInsights, brings an easy-to-use data ingestion process. It also has proven to be easy to setup and run, taking just a few hours, with conversions handled automatically. Lastly, the data never leaves the platform, which avoids the expense and delay of moving data between platforms. But maybe most importantly, by wrapping Hadoop in a set of familiar, comfortable tools and burying its awkwardness out of sight Hadoop now becomes something every z shop can leverage.

DancingDinosaur is Alan Radding. Follow this blog on Twitter, @mainframeblog. Check out my work at Technologywriter.com

Software Licensing for IBM System z Distributed Linux Middleware

October 10, 2014

DancingDinosaur can’t attend a mainframe conference without checking out at least one session on mainframe software pricing by David Chase, IBM’s mainframe pricing guru. At IBM Enterprise2014, which wraps up today, the topic of choice was software licensing for Linux middleware. It’s sufficiently complicated to merit an entire session.

In case you think Linux on z is not in your future, maybe you should think again.  Linux is gaining momentum in even the largest z data centers. Start with IBM bringing new apps like InfoSphere, BigInsights (Hadoop), and OpenStack to z. Then there are apps from ISVs that just weren’t going to get their offerings to z/OS. Together it points to a telltale sign something is happening with Linux on z. And, the queasiness managers used to have about the open source nature of Linux has long been put to rest.

At some point, you will need to think about IBM’s software pricing for Linux middleware. Should you find yourself getting too lost in the topic, check out these links recommended by Chase:

To begin, software for Linux on z is treated differently than traditional mainframe software in terms of pricing. With Linux on z you think in terms of IFLs.  The quantity of IFLs represent the number of Linux engines subjected to IBM’s IPLA-based pricing.

Also think in terms of Processor Value Units (PVUs) rather than MSUs. For a pricing purposes, PVUs are analogous to MSUs although the values are different. A key point to keep in mind: distributed PVUs for Linux are not related to System z IPLA value units used for z/VM products. As is typical of IBM, those two different kinds of value units are NOT interchangeable.

Chase, however, provides a few ground rules:

  • Dedicated partition
    • Processors are always allocated in whole increments
    • Resources are only moved between partitions “explicitly” (e.g. by an operator or a scheduled job)
  • Shared pool:
    • Pool of processors shared by partitions (including virtual machines)
    • System automatically dispatches processor resources between partitions as needed
  • Maximum license requirements
  • Customer does not have to purchase more licenses for a product than the number of processors on the machine (e.g. maximum DB2 UDB licenses on a 12-way machine is 12)
    • Customer does not have to purchase more “shared pool” licenses for a product than the number of processors assigned to the shared pool (e.g. maximum of 7 MQSeries licenses for a shared pool with 7 processors). Note: This limit does not affect the additional licenses that might be required for dedicated partitions.

With that, as Chase explains it, Linux middleware pricing turns out to be relatively straightforward, determined by:

  • Processor Value Unit (PVU) rating for each kind of core
  • Any difference for different processor technologies (p, i, x, z, Sun, HP, AMD, etc—notice that the z is just one of many choices, not handled differently from the others
  • Number of processor cores which must be licensed (z calls them IFLs)
  • Price per PVU (constant per product, not different based upon technology)

Then it becomes a case of doing the basic arithmetic. The formula: # of PVUs x the # of cores required x the value ($) per core = your total cost.  Given this formula it is to your advantage to plan your Linux use to minimize IFLs and cores. You can’t do anything about the cost per PVU.

Distributed PVUs are the basis for licensing middleware on IFLs and are determined by the type of machine processor. The zEC12, z196, and z10 are rated at 120 PVUs. All others are rated at 100 PVUs. For example, any distributed middleware running on Linux on z this works out to:

  • z114—1IFL, 100 PVUs
  • z196—4IFLs, 480 PVUs
  • zEC12—8 IFLs, 960 PVUs

Also, distributed systems Linux middleware offerings are eligible for sub-capacity licensing. Specifically, sub-capacity licensing is available for all PVU-priced software offerings that run on:

  • UNIX (AIX, HP-UX, and Sun Solaris
  • i5/OS, OS/400
  • Linux (System i, System p, System z)
  • x86 (VMware ESX Server, VMware GSX Server, Microsoft Virtual Server)

IBM’s virtualization technologies also are included in Passport Advantage sub-capacity licensing offering, including LPAR, z/VM virtual machines in an LPAR, CPU Pooling support introduced in z/VM 6.3 APAR VM65418, and native z/VM (on machines which still support basic mode).

And in true z style, since this can seem more complicated than it should seem, there are tools available to do the job. In fact Chase doesn’t advise doing this without a tool. The current tool is the IBM License Metric Tool V9.0.1. You can find more details on it here.

If you are considering distributed Linux middleware software or are already wrestling with the pricing process, DancingDinosaur recommends you check out Chase’s links at the top of this piece. Good luck.

DancingDinosaur is Alan Radding. Follow DancingDinosaur on Twitter, @mainframeblog. You can check out more of my work at Technologywriter.com

Real-Time Analytics on z Lead at IBM Enterprise2014 Opening Day

October 8, 2014

Users have always been demanding about performance. But does the 5-minute rule noted by Tom Rosamilia in the opening keynote at IBM Enterprise2014 go too far? It now seems users expect companies to respond, or at least acknowledge, their comments, questions, or problems in five minutes. That means companies need to monitor and analyze social media in real-time and respond appropriately.

Building on client demand to integrate real-time analytics with consumer transactions, IBM yesterday announced new capabilities for its System z. Specifically, IBM is combining the transactional virtues of the z with big data analytic capabilities into a single, streamlined, end-to-end data system. This real-time integration of analytics and transaction processing can allow businesses to increase the value of a customer information profile with every interaction the customer makes.  It also promises one way to meet the 5-minute rule, especially when a customer posts a negative comment on social media.

With the new integrated capability you can apply analytics to social sentiment and customer engagement data almost as the transactions are occurring. The goal is to gain real-time insights, which you can do on the mainframe because the data already is there and now the real time analytics will be there. There is no moving of data or logic.  The mainframe already is doing this when it is being used for fraud prevention. This becomes another case where the mainframe can enable organizations to achieve real-time insights and respond within five minutes. Compared to fraud analysis the 5-minute expectation seems a luxury.

By incorporating social media into the real time analytic analysis on the mainframe you can gain an indication of how the business is performing in the moment, how you stack up to your competitors, and most importantly, meet the 5-minute response expectation.  Since we’re talking about pretty public social sentiment data, you also could monitor your competitors’ social sentiment and analyze that to see how well they are responding.

And then there are the more traditional things you can do with the integration of analytics with transactional data to provide real-time, actionable insights on commercial transactions as they occur. For example you could take advantage of new opportunities to increase sales or prevent customer churn.

According to IBM this is being driven by the rise of mobile and smartphones, numbering in the billions in a few years. The combination of massive amounts of data and consumers who are empowered with mobile access is creating a difficult challenge for businesses, IBM noted in the announcement. Consumers now expect an immediate response—the 5 minute rule—to any interaction, at any time, and through their own preferred channel of communication. Unfortunately, many businesses are trying to meet this challenge and deliver instantaneous, on-demand customer service with outdated IT systems that can only provide after-the-fact intelligence.

Said Ross Mauri, General Manager, System z, IBM Systems & Technology Group: “Off-loading operational data in order to perform analytics increases cost and complexity while limiting the ability of businesses to use the insights in a timely manner.” The better approach, he continued, is to turn to an end-to-end solution that makes analytics a part of the flow of transactions and allows companies to gain real time insights while improving their business performance with every transaction.

Of course,  Mauri was referring specifically to the System z.  However, Power Systems and especially the new POWER8 machines, which have a strong presence here at IBM Enterprise2014, can do it too. Speaker after speaker emphasized that the Power machines are optimized for lightning fast analytics, particularly real time analytics.

Still, this was a z announcement so IBM piled on a few more goodies for the z. These include new analytics capabilities for the mainframe to enable better data security and provide companies with the ability to integrate Hadoop big data with the z. Specifically, IBM is delivering:

  • IBM InfoSphere BigInsights for Linux on System z – Combines open-source Apache Hadoop with IBM innovations to deliver enterprise grade Hadoop for System z clients;
  • IBM DB2 Analytics Accelerator – Enhances data security while delivering 2000 times the response time for complex data queries.
  • New capabilities in Linux and the cloud for system z, such as IBM Elastic Storage for Linux on System z, which extends the benefits of Elastic Storage to the Linux environment on z servers, and IBM Cloud Manager with OpenStack for System z, which enables heterogeneous cloud management across System z, Power and x86 environments.

Many of these pieces are available now.  You can meet the 5-minute rule sooner than you may think.

Alan Radding is DancingDinosaur. Follow him on Twitter, @mainframeblog, or check out his website, Technologywriter.com

 

IBM Builds Out POWER8 Systems

October 3, 2014

Just in time for IBM Enterprise 2014, which starts on Monday in Las Vegas, IBM announced some new Power8 systems and a slew of new capabilities. Much of this actually was first telegraphed earlier in September here, but now it is official. Expect the full unveiling at IBM Enterprise2014.

The new systems are the Power E870 and the Power E880. The E870 includes up to 80 POWER8 cores in 32-40 nodes and as much as 4TB of memory. The Power 880 will scale up to 128 POWER8 cores and promises even more in the next rev. It also sports up to 16TB of memory, again with more coming. This should be more than sufficient to perform analytics on significant workloads and deliver insights in real time. The E880 offers also enterprise storage pools to absorb varying shifts in workloads and handle up to 20 virtual machines per core.

Back in December, DancingDinosaur referred to the Power System 795 as a RISC mainframe.  It clearly has been superseded by the POWER8 E880 in terms for sheer performance although the E880 is architected primarily for data analytics. There has been no hint of a refresh of the Power 795, which hasn’t even gotten the Power7 + chip yet. Only two sessions at Enterprise2014 address the Power System 795. Hmmm.

The new POWER8 machines boast some impressive benchmarks as of Sept. 12, 2014: AP SD 2-tier, SPECjbb2013, SPECint_rate2006 and SPECfp_rate2006).  Specifically, IBM is boasting of the fastest performing core in the industry: 1.96x or better than the best Intel Xeon Ivy Bridge and 2.29x better than the best Oracle SPARC. In each test the new POWER8 machine ran less than 2/3 of the cores of the competing machine, 10 vs. 15 or 16 respectively.

In terms of value, IBM says the new POWER8 machines cost less than competing systems, delivering 1000 users per core, double its nearest competitor. When pressed by DancingDinosaur on its cost analysis, IBM experts explained they set up new Linux apps on an enterprise class POWER8 system and priced out a comparably configured system from HP based on its published prices. For the new POWER8 systems IBM was able to hold the same price point, which turned out to be 30% less expensive for comparable power given the chip’s increased performance. By factoring in the increase in POWER8 performance and the unchanged price IBM calculated it had the lowest cost for comparable performance. Recommend you run your actual numbers.

The recent announcement also included the first fruits of the OpenPower Foundation, an accelerator from NVIDIA.  The new GPU accelerator, integrated directly into the server, is aimed at larger users of big data analytics, especially those using NoSQL databases.  The accelerator is incorporated into a new server, the Power System S824L, which includes up to 24 POWER8 cores, 1 TB of memory and up to 2 NVIDIA K40 GPU accelerators.  It also includes a bare metal version of Ubuntu Linux. IBM reports it runs extracting patterns for a variety of analytics, big data, and technical computing workloads involving large amounts of data 8x faster.

Another new goodie, one based on OpenStack, is IBM Power Virtualization Center (PowerVC), billed as new advanced virtualization management that promises to simplify the creation and management of virtual machines on IBM Power Systems servers using PowerVM or PowerKVM hypervisors. By leveraging OpenStack, it should enable IBM Power System servers to integrate into a Software Defined Environment (SDE) and provide the necessary foundation required for the delivery of Infrastructure as a Service (IaaS) within the Cloud.

Finally, as part of the Power8 announcements, IBM unveiled Power Enterprise Pools, a slick capacity-on-demand technology also called Power Systems Pools.  It offers a highly resilient and flexible IT environment to support of large-scale server consolidation and meet demanding business applications requirements. Power Enterprise Pools allow for the aggregation of compute resources, including processors and memory, across a number of Power systems. Previously available for the Power 780 and 795, it is now available on large POWER8 machines.

Am off to IBM Enterprise2014 this weekend. Hope to see you there. When not in sessions look for me wherever the bloggers hang out (usually where there are ample power outlets to recharge laptops and smartphones). Also find me at the three evenings of live performances: 2 country rock groups, Delta Rae and The Wild Feathers and then, Rock of Ages. Check out all three here.

Alan Radding is DancingDinosaur. You can follow this blog and more on Twitter, @mainframeblog. Also, find me at Technologywriter.com.

Mobile Steps Up at IBM Enterprise2014

September 23, 2014

According to eMarketer, by 2017, mobile phone penetration will rise to 69.4% of the global population. The global smartphone audience, eMarketer reports, surpassed 1 billion in 2012 and will total 1.75 billion in 2014 and will continue a fast-paced trajectory through 2017.

OK, mobile and smartphones are hot, driving everything from the Internet of Things, (IoT) to shifts in mainframe peak volume trends. Between IoT and mobile you very well could looking at the future of the mainframe. IBM’s latest mainframe win, announced Sept. 11, identified the government of Croatia adopting the IBM z12EC 703 as the foundation for a new mobile government solution that enables citizens to choose to receive myriad messages and conduct official business on their mobile and smart devices while getting real time alerts.

Mobile transaction volumes already are starting to skew z/OS software usage and trigger new pricing programs. If you haven’t pinned down your mobile mainframe and Power Systems strategy, plan to get over to IBM Enterprise2014, Oct. 6-10 at the Venetian in Las Vegas. There you will find a wide range of mobile-related sessions for the System z, Power, and System i platforms.

You could start with Planning Your Mobile Enterprise Strategy: Future Directions in Enterprise Mobile Application Development by Ian Robinson. Here Robinson looks out the next 12-18 months at a new generation of mobile devices—including smartphones, tablets, wearables and other technologies comprising the IoT—being adopted in large numbers by consumers and employees while introducing considerable challenges and opportunities for enterprise IT managers and application developers. This session reviews the latest mobile trends and highlights where IBM MobileFirst software and services can help enterprise IT strategists prepare their organizations as mobile enterprises. BTW, last week IBM MobileFirst was highly endorsed by both Gartner and IDC.

You also will want to check out Robinson’s session on The MobileFirst Portfolio: IBM’s End-to-end Solution for the Enterprise Mobile App Development Lifecycle. Here he notes that the emerging era of enterprise mobile apps is radically different from traditional software delivery, leading many CIOs and IT managers to completely redefine their enterprise application strategies due to the rapid growth of smartphones and tablet devices among end users. In this session he describes IBM’s MobileFirst portfolio, an industry-leading set of products and capabilities designed to support the entire mobile app lifecycle, from design and development through to testing, integration, optimization, and deployment. Using real MobileFirst client examples, this session also highlights where IBM System z, Power Systems and PureSystems can play an essential role in supporting an enterprise mobile strategy.

A different take on mobile is IBM Electronic Support Engagement—Mobile Service Request, Support Portal, Twitter, Blogs and Wikis by Julie Craft.  Including a demo, she details all the ways you can use IBM electronic support tools from a mobile and social perspective. She presents new mobile apps as well as enhancements to service request that make working with IBM Support easier and saves time. In this session you are invited to voice your views on ways IBM can improve its interfaces to enhance your experience. She reports you’ll even have an opportunity to follow along on your mobile devices.

Finally, here’s a look at a hardware platform-specific mobile session: Mobile to Go, Overview of Mobile Technologies on IBM i by Tim Rowe, Alison Buterill. Android, Blackberry, iPhone, iPad, tablet, and on and on. So many mobile devices, so many applications. Employees want to work 24X7. They want access to email, to development, data, and the system. And they want to use their own interface from wherever they happen to be. How can you deliver the right interface to the right person at the right time? What is available to make the job easier? This session explores the various IBM i solutions that can help you deliver on the request to “Make Mine to Go”. A related session, Test Drive IBM i Mobile Access, provides a preview of the IBM i Mobile Access Solution in the form of a lab that offers a guided, self-paced, interaction with the solution. You can explore the 5250 interface, run SQL Queries, interact with Printed Output and the IFS and much more. Maybe, they suggest, you can take the lab from your own mobile device. Other sessions address mobile on the Power platform.

Without changing the mainframe’s basic role mobile is poised to dramatically alter mainframe computing. The z will continue as the always available, highly secure and scalable backend resource that delivers information on request and handles volumes of transactions.

Finally, don’t miss three evenings of live performances: 2 country rock groups, Delta Rae and The Wild Feathers and then, Rock of Ages. Check out all three and more here.

Alan Radding is DancingDinosaur. Look for me at Enterprise2014. You can follow this blog and more on Twitter, @mainframeblog. Also, find me on Technologywriter.com.

System z Software Pricing at IBM Enterprise 2014

September 17, 2014

DancingDinosaur must have sat through more of David Chase’s presentations on System z software pricing than anyone who doesn’t actually buy System z software. And still it seems impossibly complicated.  The problem is the many different and changing circumstances under which a mainframe shop will use its System z. It speaks to IBM’s willingness to try to accommodate almost any use case for the mainframe while trying to be fair and still make a buck.

The last time DancingDinosaur wrote on mainframe software pricing it looked at IBM’s z/OS discounts for mobile transactions. It generated considerable interest. Well, there is more on mainframe software pricing at IBM Enterprise2014, Oct. 6-10 in Las Vegas. If you are paying workload pricing, you will want to check out these sessions:

IBM System z Software Pricing Overview by David Chase, who has spoken on this at numerous conferences and manages to make it understandable. This session introduces the software pricing options available for IBM’s zEnterprise and System z servers. It covers a variety of Monthly License Charge (MLC) metrics, including the newest ones: Advanced Workload License Charge (AWLC) and Advanced Entry Workload License Charge (AEWLC). It also introduces the IPLA “one-time charge” pricing and how it differs from MLC. Although the primary focus is on z/OS pricing, these pricing concepts also apply to z/VSE and z/TPF. If your organization is not taking advantage of these programs, you probably are over-paying for mainframe software.

Introduction to Sub-Capacity Pricing and Sub-Capacity Reporting Tool, again by David Chase. If your shop decides to adopt sub-capacity pricing for System z software, use of the Sub-Capacity Reporting Tool (SCRT) will be required whether you run z/OS, z/VSE and/or z/TPF. Attend this session to understand what the SCRT is, how it works, how to use it and how to interpret the output of the tool, the Sub-Capacity Report. This session also covers the planning steps for successful implementation of SCRT and discusses the end-to-end implementation process of collecting the required SMF data, running SCRT, reviewing the reports, and submitting them to IBM.

IBM System z Sub-Capacity and the SCRT Report by David Chase, of course. This session goes a step beyond the session above. Sub-capacity pricing for System z software is the way most customers achieve the optimal price performance available to them. But this means that the way your system is configured and used is very likely to have an impact upon the software charges you pay, and use of the Sub-Capacity Reporting Tool (SCRT) will be required. Attend this session to understand how SCRT works beyond the introductory level, how to use it, how to interpret the output of the tool (the Sub-Capacity Report), and most importantly, what options you have to tune your system to influence your monthly software charges.  

Software Licensing for Distributed Linux Middleware on IBM System z by David Chase, clearly the public face of IBM pricing. Many people understand how sub-capacity software licensing works for z/OS and z/VSE. Less well known—IBM also offers sub-capacity licensing for distributed Linux middleware when it runs on System z. Attend this session to understand how the Passport Advantage virtualization and sub-capacity licensing rules work in a Linux on System z environment, especially when you are using IFL engines running under the control of z/VM.

Mainframe software licensing is maddening and has little to do with what attracts people to enterprise computing. As a result, mainframe people stay away from it, leaving it to lawyers and the folks in purchasing, who may be even less prepared to tackle the subject than you. Big mistake. Once you are aware of how it works you can arrange workloads to ensure the lowest price. BTW, if you bring in a name brand consultant for advice on reducing mainframe data center costs, the first thing they check are your software invoices. Skip the consultant; bring your questions to David Chase’s sessions at Enterprise 2014. It will pay for your trip.

Also, don’t miss three evenings of live performances: 2 country rock groups, Delta Rae and The Wild Feathers and then, Rock of Ages. Check out all three and more here

Alan Radding is DancingDinosaur. Look for me at Enterprise2014. You can follow this blog and more on Twitter, @mainframeblog. Find Alan Radding on Technologywriter.com.

IBM Enterprise2014 to Drive Advanced Mainframe Capabilities

August 27, 2014

The summer is winding down, and IBM Enterprise2014 (October 6-10, 2014 at the Venetian in Las Vegas, October 6-10, 2014 at the Venetian in Las Vegas) will be here in a little over a month.  It combines the IBM System z Technical University and the IBM Power Systems Technical University at one North American location. The advanced capabilities being featured at Enterprise2014 include: cloud, big data, and much more. Let’s look at a sampling of the z-oriented cloud and big data sessions. Subsequent posts will look at POWER and other topics.

The event also will include announcing the winner of the Mainframe Mobile App Throwdown, details here. Mobile is hot and poised to drive a lot of activity through the mainframe. The next generation of mobile apps will need to integrate with core applications running on the mainframe. DancingDinosaur readers know how to do that. Top prize for the Throwdown is an iPad, a pass to the IBM Enterprise2014 conference in Las Vegas, and even a week with IBM experts to help turn the app from a concept to reality. DancingDinosaur will be there to publicize the winners here. But the competition closes Sept. 17 so sign up soon.

For Mainframe Mobile App Throwdown ideas check out the session details at Enterprise2014. For example, Taking Analytics Mobile with DB2 Web Query and More! by Doug Mack digs into mobile features added to DB2 Web Query. He discusses how to sync a mobile device up with your favorite dashboards, or use the mobile app to organize and access reports offline. Leverage REST-based Web Services and application extensions to customize the user interface for reporting functions or schedule the reports to run in the background.

Now, let’s look at a sampling of the cloud and big data sessions.

How Companies Are Using IBM System z for Cloud—Fehmina Merchant describes how organizations are building secure and robust private clouds on System z to deliver their critical IT services with agility and at lower costs.  The session will examine the unique capabilities of zEnterprise as a platform for private cloud computing, in effect providing the ultimate in virtualization, security, scalability and reliability. It also will cover how the newest IBM SmartCloud technologies can automate and optimize the deployment and management of services in the cloud. In addition, the session will offer some specific real-life examples and use-cases to illustrate how a private cloud built on zEnterprise and SmartCloud provide flexible IT service delivery at the lowest cost. The session will end with a live demonstrations of the latest IBM SmartCloud tools.

Should mainframe shops even care about cloud computing? That’s a question DancingDinosaur gets asked frequently. Glenn Anderson answers it in zEnterprise—Cutting Through the Hype: Straight Talk About the Mainframe and Cloud Computing. In this session he promises to explain why the cloud is relevant to a System z enterprise and helps z data center managers cut through the marketing hype.

For zLinux there is The Elephant on the Mainframe—Using Hadoop to Analyze IBM System z Data by Christopher Spaight. He describes the zEnterprise portfolio as including a rich set of options for the analysis of structured, relational data. But what, he asks, if the business needs to analyze data that is unstructured or semi-structured or a mix of relational and non-relational records? Many are looking to Hadoop in these situations. This session lays out the mainframer’s options for using Hadoop both on and off platform, and walks through several use cases for when it makes sense to use Hadoop. BTW, Hadoop on z is called zDoop.

Finally, HDFS, Hive and All That Big Data “Stuff” for IBM System z by Karen Durward looks at how the System z participates in the world of HDFS, Hive and more Big Data stuff. This session focuses on not only why z/OS data should be integrated into a Big Data environment but the various ways to do it. She will describe the latest on z/OS data integration with Big Data, Linux on System z as a Big Data platform, and more.

Then, when you have absorbed all the technology you can enjoy three evenings of live performances: 2 country rock groups, Delta Rae and The Wild Feathers and then, Rock of Ages. Check ‘em out here.

Alan Radding is DancingDinosaur. Look for me at Enterprise2014. You can follow this blog and more on Twitter, @mainframeblog. Find Alan Radding on Technologywriter.com.


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