Posts Tagged ‘zEnterprise’

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.

IBM Mainframe Tweet-Up with Ross Mauri Generates Action

August 15, 2014

DancingDinosaur has participated in numerous Mainframe Tweet-Ups before, most recently Enterprise2013 and Edge2014.  The Tweet-Up last Tuesday (8/12) might have been the biggest yet, generating numerous questions and responses (over 120 in one hour by DancingDinosaur’s count) on a range of topics including Linux on the mainframe, mobile on the mainframe, and more.

A Tweet-Up is a Twitter event where a panel of experts respond to questions from an audience and interactive discussions revolve around the questions. Think of the Mainframe Tweet-Up as a very mini IBM Enterprise2014. But instead of one expert panel and 100+ participants there will be over 600 expert sessions, an army of IBM experts to present and respond to questions, and over 50 case studies where you can talk directly to the user and get the real nitty-gritty.

The central attraction of Tuesday’s Mainframe Tweet-Up was Ross Mauri, General Manager of the IBM System z business.  Mauri is a veteran of enterprise servers and systems, having previously held a similar position with Power Systems. Of course he is a strong proponent of the mainframe, but he also is a big advocate for mobile on the System z.

In a recent post Mauri notes that enterprise mobility will be a $30 billion market next year with twice as many corporate employees using their own mobile devices as they are today.  According to Gartner, by 2017, 25% of all enterprises will have a mobile app store.  Check out Mauri’s post, Mobility made possible with the mainframe, here.

Mauri really sees the System z as an essential platform for mobile: “Given IBM System z’s unprecedented enterprise scale, availability, cloud, analytics, and mobile capabilities, we (the IBM mainframe team) are poised to deliver value to clients’ enterprise mobility needs. The marketplace demands mobile capabilities and has for years because their customers demand it of them.  Across industries, consumers mandate immediate, any time access to their accounts and information.  Consider what’s possible when IBM System z delivers enterprise mobility to these institutions,” he wrote.

Africa stands to gain the most from mobile mainframe, especially when it comes to banking. Mauri continued. Nearly 80% of Africa’s population – 326 million people — is unbanked, denying them the ability to get education and business loans or support their families.  First National Bank (FNB) and the mainframe are changing that.  Using System z’s mobile bank-in-a-box solutions, FNB brings secure banking to the customer in ways they’re familiar with — to the tune of 234 million monthly mobile banking transactions.  IBM’s System z bank-in-a-box solutions eliminate the need for FNB’s customers to rely on couriers.  Families have their funds in seconds instead of days and save sizable courier fees.  For the people who now use this solution, their lives have been changed forever.

DancingDinosaur has been on top of the mobile mainframe since IBM first began talking about it in the spring of 2010, and most recently here and here. The mainframe, especially with the new discounted z/OS pricing, makes an ideal cost-efficient platform for mobile computing. The z is a particularly good choice since much of the processing resulting from mobile activity will be handled right on the z, probably even the same z.

Mobile certainly was a top topic in the Mainframe Tweet-Up. One discussion addressed whether mobile would increase mainframe workloads or just shift it to coming from different devices. Instead of using an ATM to check your balance, for example, you would use the bank’s mobile app. The responses were varied: everyone agreed that mobile would increase transaction volume overall, but the transactions would follow a different cycle, a predominantly read cycle. If you have an opinion, feel welcome to weigh in with a comment.

Another discussion focused on mainframe simplification and looked at z/OSMF and CICS Explorer as two simplification/GUI tools, along with z/OS HealthChecker, RTD, and PFA. A different discussion turned to APIs and the z; concluding that the z has the APIs to effectively work with SoftLayer and also connect with APIM. Another participant added that the z works with the RESTful API. And not surprisingly there was an active discussion on Linux on z. The expert panelists and participants overall kept things very lively.

The Mainframe Tweet-Up was a small taste of what is coming in IBM Enterprise2014, Oct. 6-10 at the Venetian in Las Vegas. Register now; last year’s event sold out. IBM is expecting over 3000 attendees.  DancingDinsosaur certainly will be there.

DancingDinosaur is Alan Radding. Follow DancingDinosaur on Twitter, @mainframeblog. You also can find him at Technologywriter.com.

Put the Mainframe at the Heart of the Internet of Things

August 4, 2014

Does the Internet of things (IoT) sound familiar? It should. Remember massive networks of ATMs connecting back to the mainframe?

The mainframe is poised to take on the IoT challenge writes Advanced Software Products Group, Inc. (ASPG), a company specializing in mainframe software, in an interesting document called the Future of the Mainframe.  Part of that future is the IoT, which IBM refers to in a Redbook Point of View as the Interconnecting of Everything.

In that Redbook the IoT is defined as a network of Internet-enabled, real-world objects—things—ranging from nanotechnology objects to consumer electronics, home appliances, sensors of all kinds, embedded systems, and personal mobile devices. The IoT also will encompass enabling network and communication technologies, such as IPv6 to get the unique address capacity, web services, RFID, and 4G networks.

The IoT Redbook cites industry predictions of upwards of 50 billion connected devices by 2020, a number 10x that of all current Internet hosts, including connected mobile phones. Based on that the Redbook authors note two primary IoT scalability issues:

  1. The sheer number of connected devices; the quantity of connected devices, mainly the number of concurrent connections (throughput) a system can support and the quality of service (QoS) that can be delivered. Here, authors note, Internet scalability is a critical factor. Currently, most Internet-connected devices use IPv4, which is based on a 32-bit. Clearly, the industry has to speed the transition to IPv6, which implements a 128-bit addressing scheme that can support up to 2128 addresses or 4 x 1038 devices, although some tweaking of the IPv6 standard is being proposed for IoT.
  1. The volume of generated data and the performance issues associated with data collection, processing, storage, query, and display. IoT systems need to handle both device and data scalability issues. From a data standpoint, this is big data on steroids.

As ASPG noted in its paper cited above, the mainframe is well suited to provide a central platform for IoT. The zEnterprise has the power to connect large dispersed networks, capture and process the mountains of data produced every minute, and provide the security and privacy companies and individuals demand. In addition, it can accept, process, and interpret all that data in a useful way. In short, it may be the only general commercial computing platform powerful enough today to crunch vast quantities of data very quickly and is already proven to perform millions of transactions per second and do it securely.

Even with a top end zEC12 configured to the hilt and proven to handle maximum transactions per second, you are not quite yet ready to handle the IoT as it is currently being envisioned. This IoT vision is much more heterogeneous in all dimensions than the massive reservation or POS or ATM networks the mainframe has proven itself with.

At least one major piece still needed: an industry-wide standard that defines how the various devices capture myriad information for a diverse set of applications involving numerous vendors and ensure everything can communicate and exchange information in a meaningful way. Not surprisingly, the industry already is working on it.

Actually, maybe too many groups. The IEEE points to a number of standards, projects and activities it is involved with that address the creation of what it considers a vibrant IoT. The Open Internet Consortium, consisting of a slew of tech-industry heavyweights like Intel, Broadcom, and Samsung, hope to develop standards and certification for devices involved in the IoT. Another group, the AllSeen Alliance, is promoting an open standard called AllJoyn with the goal of enabling ubiquitously connected devices. Even Google is getting into the act by opening up its Nest acquisition so developers can connect their various home devices (thermostats, security alarm controllers, garage door openers, and such) via a home IoT.

This will likely shake out the way IT standards usually do with several competing groups fighting it out. Probably too early to start placing bets. But you can be sure IBM will be right there. The company already has put an IoT stake in the ground here (as if the z wasn’t enough).  Whatever eventually shakes out, System z shops should be right in the middle of the IoT action.

Expect this will be subject of discussion at the upcoming IBM Enterprise 2014 conference, Oct. 6-10 in Las Vegas. Your blogger expects to be there. DancingDinosaur is Alan Radding. Follow him on Twitter, @mainframeblog or Technologywriter.com.

IBM-Apple Deal Enhanced by New z/OS Pricing Discounts

July 25, 2014

In the spring, IBM announced, almost as an aside, new pricing discounts for z/OS mobile transactions. At the time, it didn’t seem like a big deal. But IBM’s more recent announcement of its exclusive mobile partnership with Apple, covered by DancingDinosaur here, suddenly gives it much bigger potential.

The plan is to create apps that can transform specific aspects of how businesses and employees work using iPhone and iPad, allowing companies to achieve new levels of efficiency, effectiveness and customer satisfaction. At the backend will be the mainframe.

Already zEnterprise shops, especially banks and financial services firms, are reporting growth in the volume of transactions that originate from mobile devices. The volume of these mobile-originated transactions in some cases is getting large enough to impact the four-hour peak loads that are used in calculating monthly costs.

Here’s the problem: you put out a mobile app and want people to use it. They do, but much of the workload being generated does not directly produce revenue. Rather, they are requesting data or checking invoices and balances. Kind of a bummer to drive up monthly charges with non-revenue producing work.

That’s where the new pricing discounts for z/OS mobile workloads come in. The new pricing reduces the impact of these mobile transactions on reported LPAR MSUs. Specifically, the Mobile Workload Pricing Reporting Tool (MWRT) will subtract 60% of the reported Mobile MSUs from a given LPAR in each hour, adjusting the total LPAR MSU value for that hour. Think of this as just a standard SCRT report with a discount built in to adjust for mobile workload impact.

So, what does that translate into in terms of hard dollar savings? DancingDinosaur had a private briefing with two IBMers who helped build the tool and asked that question. They are only in the earliest stages of getting actual numbers from users in the field; the tool only became available June 30.  Clearly the results depend on how many mobile transactions you are handling in each reporting hour and how you are handling the workloads.

There is a little work involved but the process won’t seem intimidating to mainframe shops accustomed to IBM’s monthly reporting process. Simply record mobile program transaction data, including CPU seconds, on an hourly basis per LPAR, load the resulting data file into the new tool, MWRT, each month using the IBM-specified CSV format, and run MWRT, submitting the results to IBM each month. It replaces the SCRT process.

The MWRT will function like a partial off-load from a software pricing perspective. When an LPAR value is adjusted, all software running in the LPAR will benefit from lower MSUs. The tool will calculate the monthly MSU peak for a given machine using the adjusted MSU values.

This brings us back to the hard dollar savings question. The answer: probably not much initially unless your mobile apps already generate a sizeable proportion of your peak transaction volume. But jump ahead six months or a year when the IBM-Apple partnership’s new iOS made-for-business apps are gaining traction your mobile transaction volume could be climbing substantially each month. At that point, savings of hundreds of thousands of dollars or more seem quite possible.

Of course, the new applications or the entire partnership could be a bust. In that case, you will have burned some admin time for a one-time set up. You’ll still experience whatever normal transaction growth your current mobile apps generate and collect your discounted MSU charges. Unless the big IT analysis firms are dead wrong, however, mobile transactions are not going away. To the contrary, they will only increase. The bottom line: negligible downside risk while the upside gain could be huge.

Hope to see you at IBM Enterprise 2014 in Las Vegas, Oct. 6-10. DancingDinosaur is Alan Radding. Follow him on Twitter, @mainframeblog and at Technologywriter.com

 

 

System z Takes BackOffice Role in IBM-Apple Deal

July 21, 2014

DancingDinosaur didn’t have to cut short his vacation and race back last week to cover the IBM-Apple agreement. Yes, it’s a big deal, but as far as System z shops go it won’t have much impact on their data center operations until late this year or 2015 when new mobile enterprise applications apparently will begin to roll out.

The deal, announced last Tuesday, promises “a new class of made-for-business apps targeting specific industry issues or opportunities in retail, healthcare, banking, travel and transportation, telecommunications, and insurance among others,” according to IBM. The mainframe’s role will continue to be what it has been for decades, the backoffice processing workhorse. IBM is not porting iOS to the z or Power or i or any enterprise platform.

Rather, the z will handle transaction processing, security, and data management as it always has. With this deal, however, analytics appears to be assuming a larger role. IBM’s big data and analytics capabilities is one of the jewels it is bringing to the party to be fused with Apple’s legendary consumer experience. IBM expects this combination—big data analytics and consumer experience—to produce apps that can transform specific aspects of how businesses and employees work using iPhone and iPad devices and ultimately, as IBM puts it, enable companies to achieve new levels of efficiency, effectiveness and customer satisfaction—faster and easier than ever before.

In case you missed the point, this deal, or alliance as IBM seems to prefer, is about software and services. If any hardware gets sold as a result, it will be iPhones and iPads. Of course, IBM’s MobileFirst constellation of products and services stand to gain. Mainframe shops have been reporting a steady uptick in transactions originating from mobile devices for several years. This deal won’t slow that trend and might even accelerate it. The IBM-Apple alliance also should streamline and simplify working with and managing Apple’s mobile devices on an enterprise-wide basis.

According to IBM its MobileFirst Platform for iOS will deliver the services required for an end-to-end enterprise capability, from analytics, workflow and cloud storage to enterprise-scale device management, security and integration. Enhanced mobile management includes a private app catalog, data and transaction security services, and a productivity suite for all IBM MobileFirst for iOS offerings. In addition to on premise software solutions, all these services will be available on Bluemix—IBM’s development platform available through the IBM Cloud Marketplace.

One hope from this deal is that IBM will learn from Apple how to design user-friendly software and apply those lessons to the software it subsequently develops for the z and Power Systems. Would be interesting see what Apple software designers might do to simplify using CICS.

Given the increasing acceptance of BYOD when it comes to mobile, data centers will still have to cope with the proliferation of operating systems and devices in the mobile sphere. Nobody is predicting that Android, Amazon, Google, or Microsoft will be exiting the mobile arena as a result, at least not anytime soon.

Finally, a lot of commentators weighed in on who wins or loses in the mobile market. In terms of IBM’s primary enterprise IT competitors Oracle offers the Oracle Mobile Platform. This includes mobile versions of Siebel CRM, JD Edwards, PeopleSoft, and a few more. HP offers mobile app development and testing and a set of mobile application services that include planning, architecture, design, build, integration, and testing.

But if you are thinking in terms of enterprise platform winners and losers IBM is the clear winner; the relationship with Apple is an IBM exclusive partnership. No matter how good HP, Oracle, or any of IBM’s other enterprise rivals might be at mobile computing without the tight Apple connection they are at a distinct disadvantage. And that’s before you even consider Bluemix, SoftLayer, MobileFirst, and IBM’s other mobile assets.

BTW, it’s not too early to start planning for IBM Enterprise 2014. Mark your calendar, Oct 6-10 at the Venetian in Las Vegas. This event should be heavily z and Power.

DancingDinosaur is Alan Radding. Follow him on Twitter @mainframeblog or at Technologywriter.com.

Extend the System z to the Cloud via IBM Bluemix

July 2, 2014

The System z offers an increasing number of cloud options.  At a SHARE conference this past spring Erich Amrehn, IBM Distinguished Engineer elaborated on Cloud Computing with IBM System z.  In his presentation, Amrehn focused on five cloud options: Solution Edition for Computing and Data Cloud, SAP Cloud, CICS Cloud, Hybrid Cloud, and Mobile solution for z. And that’s not even mentioning the z-based IBM Enterprise Cloud System.

Why should a z data center care?  In short, you risk being left behind. The next architecture will encompass traditional systems of record and the new systems of engagement. Both, according to Amrehn, are headed to the cloud.

From the cloud your data center can deliver on-demand self-service, ubiquitous network access, location-independent resource pooling, rapid elasticity (for storage, compute, and network), and pay-per-use. For this, Amrehn identifies 5 steps starting with virtualization. However, with his last step—patterns—many z shops drop the ball. All they have is Rational Programming Patterns via Rational Developer for System z.

Patterns become critical when the organization wants to capitalize on the agility, efficiency, orchestration, and optimization that are essential for gaining maximum value from clouds, especially hybrid clouds.

The easiest way to get started should be through IBM’s SmartCloud Entry and Linux on z. Amrehn notes just one catch: in the spring, IBM SmartCloud entry for z was still only a statement of direction: “IBM intends to update IBM SmartCloud Entry to support the System z platform…” DancingDinosaur, however, found a Starter kit of IBM SmartCloud Entry for IBM System z. Go figure. Still awaiting clarification from IBM (2 years ago DancingDinosaur wrote that SmartCloud Entry for z was imminent based on an IBM announcement that has since been pulled).

The hybrid cloud is emerging as IBM’s preferred cloud solution. The company suggests a 2-step path to the hybrid cloud: 1) select an automated cloud application platform and 2) capture the desired application(s) into a pattern. IBM’s PureSystems, particularly PureApplication, directly enable hybrid cloud innovation, especially with the IBM Pattern Engine and its support for a variety of containers.  Notice the evolution in IBM’s thinking around PureApplication. What started as integrated hardware with built-in expertise in the form of patterns is morphing into the PureApp software system and service with a cloud component.

For best results, you want expert-driven automation at the infrastructure, application, and deployment tiers. Through patterns, especially IBM patterns, you avoid any need to re-architect when shifting from on premise to off premise (and back, if needed). Without patterns, you must do everything manually, an inefficient and costly approach. You can find a selection of patterns at  the IBM Cloud Marketplace.

To capitalize on your hybrid cloud environment you eventually will want to augment it with new software—mobile apps, customer-driven innovations, whatever—apps that tap the capabilities of the latest devices and integrate with mobile and social environments. That’s why IBM is rolling out Bluemix, an integrated application development and deployment environment.

Bluemix is not your standard IBM licensed technology. IBM has adopted distinctly different pricing for Bluemix. Runtimes are charged by the GB-hours that your app runs, including some free per month. For IBM this truly is innovative pricing, and IBMers suggest it is a work in progress. Right now, pricing varies with each Bluemix service. Whatever mix of services you end up with, they will be tallied monthly and charged to your credit card.

The current charges look like this:

courtesy of IBM

courtesy of IBM

The goal is rapid app development; to go from idea to app in minutes, no coding. Instead assemble new apps using APIs and existing systems. Bluemix handles the heavy lifting (via Cast Iron) behind the scenes, including integrating with legacy systems.

And it works. A demo by San Francisco’s BART showed how they used Bluemix to build a mobile app in 15 days. EyeQ reduced operations costs by 30% by focusing on the apps and code while leaving Bluemix to handle the infrastructure. aPersona, which provides multi-factor authentication, used Bluemix to reduce the time to deploy a new customer from 2 days to 30 seconds.

Bluemix speeds development and deployment through instant access to IBM’s SoftLayer cloud infrastructure, IBM software, runtimes, third party services, and IBM DevOps services.  Now IBM needs to get the z completely wired in.

Expect to hear more about the z, Bluemix, SoftLayer, and hybrid clouds at IBM Enterprise 2014 this coming October in Las Vegas.

DancingDinosaur is Alan Radding. Follow him on Twitter, @mainframeblog and at Technologywriter.com

Automated System z Workload Capping Can Save Big Bucks

June 20, 2014

IBM’s Monthly License Charge (MLC) pricing can be a powerful tool to significantly lower the cost of software licensing for a mainframe shop. The problem: it is frightfully complicated. DancingDinosaur has attended conferences that scheduled multi-part sessions just to cover the basic material. Figuring out which pricing program you qualify for is itself a challenge and you probably want a lawyer looking over your shoulder. Find IBM’s System z pricing page here.

One particularly galling challenge is estimating and capping the 4-hour utilization for each LPAR.  You can easily find yourself in a situation where you exceed the cap on one LPAR, resulting in a surcharge, while you have headroom to spare on other LPARs. The trick is to stay on top of this by constantly monitoring workloads and shift activity among LPARs to ensure you don’t exceed a cap.

This requires a skilled mainframe staffer with both a high level of z/OS skill and familiarity with z workloads and LPARs. While you’re at it throw in knowledge of data center operations and the organization’s overall business direction. Finding such an expert is costly and not easily spared for constant monitoring. It’s a task that lends itself to automation.

And that’s exactly what BMC did earlier this week when it introduced Intelligent Capping (iCap) for zSeries mainframes. On average, according to BMC, companies that actively manage and effectively prioritize their mainframe workloads save 10-15 percent more on their monthly license charges than those who use a more passive approach. Furthermore, instead of assigning a costly mainframe workload guru to manually monitor and manage this, BMC promises that the costs can be reduced while also diminishing risk to the business through the use of its intelligent iCap software that understands workloads, makes dynamic adjustments, and automates workload capping.

The savings, according to BMC, can add up fast. In one example, BMC cited saving 161 MSUs, which translated for that organization to over $55k that month. Given that a mainframe shop spends anywhere from few hundred thousand to millions of dollars per month on MLC charges savings of just a few percent can be significant. One BMC customer reportedly expects intelligent capping to save it 12% each month. Caveat: DancingDinosaur has not yet been able to speak with any BMC iCap customer to verify these claims.

But assuming they are true, iCap is a no-brainer for any mainframe shop paying anything but the most minimal MLC. BMC charges for iCap based on the customer’s capacity. It is willing to discuss a shared gain model by which the iCap charges are based on how much is saved but none of those deals apparently have been finalized.

This seems like a straightforward challenge for a mainframe management tool vendor but DancingDinosaur has found only a few actually doing it—BMC, Softwareonz, and IBM. Softwareonz brings AutoSoftCapping. The product promises to maximize software cost efficiency for IBM zSeries platforms, and specifically z/OS. It does so by automatically adjusting defined capacity by LPAR based upon workload while maintaining a consistent overall defined capacity for your CPC.

Softwareonz, Seattle, estimates it saves 2% on monthly charges, on the low end. At the high end, it has run simulations suggesting 20% savings.  AutoSoftCapping only works for datacenters running their z on the VWLC pricing model. Customers realistically can save 8-10%. Again, DancingDinosaur has not yet validated any savings with an actual Softwareonz customer.

Without automation, you have to do this manually, by adjusting defined capacity based on actual workloads. Too often that leave the organization with the choice of constraining workloads and thereby inhibiting performance or over-provisioning the cap and thereby driving up costs through wasted capacity.

So, if automatic MLC capping is a no brainer, why isn’t everybody doing it? Softwareonz sees several reasons, the primary one being the fear of the cap negatively impacting the VWLC four-hour rolling average. Nobody wants to impact their production workloads. Of course, the whole reason to apply intelligence to the automation is to reduce software costs without impacting production workloads. BMC offers several ways to ease the organization into this as they become more comfortable and confident in the tool.

Another reason suggested is that the System z operational team is protecting its turf from the inroads of automation. A large z shop might use a team of half a dozen or more people dedicated to monitoring and managing workloads manually. Bring in automation like iCAP or AutoSoftCapping and they expect pink slips to follow.

Of course, IBM brings the z/OS Capacity Provisioning tool for z/OS (v1.9 and above), which can be used to add and remove capacity through a Capacity Provisioning Manager (CPM) policy. This can be used to automatically control the defined capacity limit or the group capacity limits. The user interface for defining CPM policies is through z/OSMF.

If you are subject to MLC pricing, consider an automated tool. BTW, there also are consultants who will do this for you.

A note: IBM Enterprise Cloud System, covered by DancingDinosaur a few weeks ago here, is now generally available. It is an OpenStack-based converged offering that includes compute, storage, software, and services built around the zBC12. Check out the most recent details here.

Also take note: IBM Enterprise2014 is coming to Las Vegas in early Oct, Details here. The conference combines System z University and Power System University plus more. You can bet there will be multiple sessions on MLC pricing in its various permutations and workload capping.

DancingDinosaur is Alan Radding. You can follow him on Twitter, @mainframeblog. Or visit his website, www.technologywriter.com

 

Expanding Mainframe Linux and Cloud Computing

June 9, 2014

In case you wondered if IBM is seriously committed to both mainframe Linux and cloud computing on the System z platform you need only look at the June 2 announcement that the company is opening the first dedicated System z Linux and cloud computing competency center in Beijing.  According to the announcement, the new center is specifically intended to help organizations there take advantage of Linux and cloud computing solutions on the mainframe, and help accelerate adoption of Linux on System z in China.

This is just the most recent of a number of developments that boosted the System z profile. Even at the recent IBM Edge 2014 conference, which was not about the System z at all (a System z and Power conference, Enterprise 2014, is coming up in October) still managed to slip in some System z sessions and content, including one about protecting DB2 data on z/OS using tape and other sessions that included the System z and Power enterprise servers in discussions on various aspects of cloud computing or the use of flash.

Following the Mainframe50 announcement earlier in the spring, IBM introduced more System z enhancements including the IBM Enterprise Cloud System, an OpenStack-based converged offering that includes compute, storage, software, and services and built around the zBC12; IBM Wave for z/VM, which simplifies z/VM virtualization management and expedites an organization’s path to the cloud; and a new IBM Cloud Management Suite for System z, which handles dynamic provisioning and performance monitoring.

An interesting aspect of this announcement is the IBM’s focus on Linux. It has taken a decade for Linux to gain traction in System z data centers but patience is finally paying off.  Linux has proven instrumental in bringing new mainframe users to the platform (DancingDinosuar previously reported on Algar, a Brazilian telco) ; according to IBM, more than 50% of all new mainframe accounts since 2010 run Linux. To that end, DancingDinosaur has long recommended the Enterprise Linux Server Solution Edition program, a deeply discounted package hardware, middleware, and software. It represents the best and maybe the only bargain IBM regularly offers.

Linux itself has proven remarkably robust and has achieved widespread acceptance among enterprises running a variety of platforms. According to the IDC, Linux server demand is rising due to demand from cloud infrastructure deployments. The researcher expects that demand to continue into the future. In the first quarter of 2014, Linux server revenue accounted for 30 percent of overall server revenue, an increase of 15.4 percent.

Along with cloud computing, collaborative development appears to be contributing to the continued growth and adoption of Linux. According to the Linux Foundation, a new business model has emerged in which companies are joining together across industries to share development resources and build common open source code bases on which they can differentiate their own products and services. This collaborative approach promises to transform a number of industries, especially those involved with cloud computing, social and mobile. Apparently it provides a fast way to create the next generation of technology products.

In its latest survey, the Linux Foundation identified three drivers or the recent Linux growth:

  1. Collaborative software development—ninety-one percent of business managers and executives surveyed ruled collaborative software development somewhat to very important to their business while nearly 80 percent say collaborative development practices have been seen as more strategic to their organization over the past three years.
  2. Growing investments in collaborative software development—44 percent of business managers said they would increase their investments in collaborative software development in the next six months
  3. The benefits of collaboration—more than 77 percent of managers said collaborative development practices have benefited their organizations through a shorter product development cycle/faster time to market.

The bulk of the world’s critical transaction processing and production data continue to reside on the mainframe, around 70 percent, according to IBM. Similarly, 71% of all Fortune 500 companies have their core businesses on a mainframe. And this has remained remarkably steady over the past decade despite the rise of cloud computing. Of course, all these organizations have extensive multi-platform data centers and are adding growing numbers of on-premise and increasingly hybrid cloud systems.

Far from relying on its core production processing to carry the mainframe forever, the new Beijing mainframe Linux-cloud center demonstrates IBM’s intent to advance the mainframe platform in new markets. It is opening the mainframe up in a variety of ways; from z/OS in the cloud to Hadoop for z to new cloud-like pay-for-use pricing models. Watch DancingDinosaur for an upcoming post on the new pricing discounts for mobile transactions on z/OS.

DancingDinosaur is Alan Radding and can be followed on Twitter, @mainframeblog

IBM Edge2014 as Coming out Party for OpenStack

May 7, 2014

IBM didn’t invent OpenStack (Rackspace and NASA did), but IBM’s embrace of OpenStack in March 2013 as its standard for cloud computing made it a legit standard for enterprise computing. Since then IBM has made its intention to enable its product line, from the System z on down, for the OpenStack set of open source technologies.  Judging from the number of sessions at IBM Edge 2014, (Las Vegas, May 19-23 at the Venetian) that address one or another aspect of OpenStack you might think of IBM Edge2014 almost as a coming out celebration for OpenStack and enterprise cloud computing.

OpenStack is a collection of open source technologies. the goal of which is to provide a scalable computing infrastructure for both public and private clouds. As such it has become the foundation of IBM’s cloud strategy, which is another way of saying it has become what IBM sees as its future. An excellent mini-tutorial on OpenStack, IBM, and the System z can be found at mainframe-watch-Belgium here.

At IBM Edge2014 OpenStack is frequently included in sessions on storage, cloud, and storage management.  Let’s take a closer look at a few of those sessions.

IBM Storage and Cloud Technologies

Presenter Christopher Vollmar offers an overview of the IBM storage platforms that contain cloud technologies or provide a foundation for creating a private storage cloud for block and file workloads. This overview includes IBM’s SmartCloud Virtual Storage Center, SmartCloud Storage Access, Active Cloud Engine, and XIV’s Hyper-Scale as well as IBM storage products’ integration with OpenStack.

OpenStack and IBM Storage

Presenters Michael Factor and Funda Eceral explain how OpenStack is rapidly emerging as the de facto platform for Infrastructure as a Service. IBM is working fast to pin down the integration of its storage products with OpenStack. This talk presents a high level overview of OpenStack, with a focus on Cinder, the OpenStack block storage manager. They also will explain how IBM is leading the evolution of Cinder by improving the common base with features such as volume migration and ability to change the SLAs associated with the volume in the OpenStack cloud. Already IBM storage products—Storwize, XIV, DS8000, GPFS and TSM—are integrated with OpenStack, enabling self-provisioning access to features such as EasyTier or Real-time Compression via standard OpenStack interfaces. Eventually, you should expect virtually all IBM products, capabilities, and services to work with and through OpenStack.

IBM XIV and VMware: Best Practices for Your Cloud

Presenters Peter Kisich, Carlos Lizarralde argue that IBM Storage continues to lead in OpenStack integration and development. They then introduce the core services of OpenStack while focusing on how IBM storage provides open source integration with Cinder drivers for Storwize, DS8000 and XIV. They also include key examples and a demonstration of the automation and management IBM Storage offers through the OpenStack cloud platform.

IBM OpenStack Hybrid Cloud on IBM PureFlex and SoftLayer

Presenter Eric Kern explains how IBM’s latest version of OpenStack is used to showcase a hybrid cloud environment. A pair of SoftLayer servers running in IBM’s public cloud are matched with a PureFlex environment locally hosting the OpenStack controller. He covers the architecture used to set up this environment before diving into the details around deploying workloads.

Even if you never get to IBM Edge2014 it should be increasingly clear that OpenStack is quickly gaining traction and destined to emerge as central to Enterprise IT, any style of cloud computing, and IBM. OpenStack will be essential for any private, public, and hybrid cloud deployments. Come to Edge2014 and get up to speed fast on OpenStack.

Alan Radding/DancingDinosaur will be there. Look for me in the bloggers lounge between and after sessions. Also watch for upcoming posts on DancingDinosaur about OpenStack and the System z and on OpenStack on Power Systems.

Please follow DancingDinosaur on Twitter, @mainframeblog.

Best System z TCO in Cloud and Virtualization

May 1, 2014

IBM recently analyzed various likely customer workload scenarios and found that the System z as an enterprise Linux server could consistently beat x86 machines in terms of TCO.  The analysis, which DancingDinosaur will dig into below, was reasonably evenhanded although, like automobile mileage ratings, your actual results may vary.

DancingDinosaur has long contended that the z Enterprise Linux Server acquired under the deeply discounted IBM System z Solution Edition program could beat comparable x86 based systems not only in terms of TCO but even TCA. Algar, a Brazilian telecom, acquired its initial z Enterprise Linux server to consolidate a slew of x86 systems and lay a foundation for scalable growth. It reports cutting data center costs by 70%. Nationwide Insurance, no newcomer to mainframe computing, used the zEnterprise to consolidate Linux servers, achieving $46 million in savings.

The point: the latest IBM TCO analyses confirm what IBM and the few IT analysts who talk to z customers have been saying for some time. TCO advantage, IBM found, switches to the z Enterprise Linux Server at around 200 virtual machines compared to the public cloud and a bit more VMs compared to x86 machines.

IBM further advanced its cause in the TCO/TCA battle with the recent introduction of the IBM Enterprise Cloud System. This is a factory-built and integrated system—processor, memory, network, IFLs, virtualization management, cloud management, hypervisor, disk orchestration, Linux OS—priced (discounted) as a single solution. IBM promises to deliver it in 45 days and have it production ready within hours of hitting the organization’s loading dock. Of course, it comes with the scalability, availability, security, manageability, etc. long associated with the z, and IBM reports it can scale to 6000 VMs. Not sure how this compares in price to a Solution Edition Enterprise Linux Server.

The IBM TCO analysis compared the public cloud, x86 cloud, and the Enterprise Cloud System in terms power and space, labor, software/middleware, and hardware costs when running 48 diverse (a range of low, medium, and high I/O) workloads. In general it found an advantage for the z Enterprise Cloud System of 34-73%.  The z cost considerably more in terms of hardware but it more than made up for it in terms of software, labor, and power. Overall, the TCO examined more than 30 cost variables, ranging from blade/IFL/memory/storage amounts to hypervisor/cloud management/middleware maintenance. View the IBM z TCO presentation here.

In terms of hardware, the z included the Enterprise Linux Server, storage, z/VM, and IBM Wave for z/VM. Software included WebSphere Application Server middleware, Cloud Management Suite for z, and Tivoli for z/VM. The x86 cloud included HP hardware with a hypervisor, WebSphere Application Server, SmartCloud Orchestrator, SmartCloud Monitoring, and Tivoli Storage Manager EE. Both analyses included labor to manage both hardware and VMs, power and space costs, and SUSE Linux.

The public cloud assumptions were a little different. Each workload was deployed as a separate instance. The pricing model was for AWS reserved instances. Hardware costs were based on instances in east US region with SUSE, EBS volume, data in/out, support (enterprise), free and reserved tier discounts applied. Software costs included WebSphere Application Server ND (middleware) costs for instances. A labor cost was included for managing instances.

When IBM applied its analysis to 398 I/O diverse workloads the results were similar, 49-75% lower cost with the Cloud System on z. Again, z hardware was considerably more costly than either x86 or the public cloud. But z software and labor was far less than the others. In terms of 3-year TCO, the cloud was the highest at $37 M, x86 came in at $18.3 M, and the Cloud on z cost $9.4 M. With 48 workloads, the z again came in with lowest TCO at $1 M compared to $1.6 M for x86 systems, and $3.9 M for the public cloud.

IBM kept the assumptions equivalent across the platforms. If you make different software and middleware choices or a different mix of high-mid-low I/O workloads your results will be different but the overall comparative rankings probably won’t change all that much.

Still time to register for IBM Edge2014 in Las Vegas, May 19-23. This blogger will be there hanging around the bloggers lounge when not attending sessions. Please join me there.

Follow Alan Radding/DancingDinosaur on Twitter: @mainframeblog


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