Posts Tagged ‘security’

IBM On-Premises Cognitive Means z Systems Only

February 16, 2017

Just in case you missed the incessant drumbeat coming out of IBM, the company committed to cognitive computing. But that works for z data centers since IBM’s cognitive system is available on-premises only for the z. Another z first: IBM just introduced Machine Learning (key for cognitive) for the private cloud starting with the z.


There are three ways to get IBM cognitive computing solutions: the IBM Cloud, Watson, or the z System, notes Donna Dillenberger, IBM Fellow, IBM Enterprise Solutions. The z, however, is the only platform that IBM supports for cognitive computing on premises (sorry, no Power). As such, the z represents the apex of programmatic computing, at least as IBM sees it. It also is the only IBM platform that supports cognitive natively; mainly in the form of Hadoop and Spark, both of which are programmatic tools.

What if your z told you that a given strategy had a 92% of success. It couldn’t do that until now with IBM’s recently released cognitive system for z.

Your z system today represents the peak of programmatic computing. That’s what everyone working in computers grew up with, going all the way back to Assembler, COBOL, and FORTRAN. Newer languages and operating systems have arrived since; today your mainframe can respond to Java or Linux and now Python and Anaconda. Still, all are based on the programmatic computing model.

IBM believes the future lies in cognitive computing. Cognitive has become the company’s latest strategic imperative, apparently trumping its previous strategic imperatives: cloud, analytics, big data, and mobile. Maybe only security, which quietly slipped in as a strategic imperative sometime 2016, can rival cognitive, at least for now.

Similarly, IBM describes itself as a cognitive solutions and cloud platform company. IBM’s infatuation with cognitive starts with data. Only cognitive computing will enable organizations to understand the flood of myriad data pouring in—consisting of structured, local data but going beyond to unlock the world of global unstructured data; and then to decision tree-driven, deterministic applications, and eventually, probabilistic systems that co-evolve with their users by learning along with them.

You need cognitive computing. It is the only way, as IBM puts it: to move beyond the constraints of programmatic computing. In the process, cognitive can take you past keyword-based search that provides a list of locations where an answer might be located to an intuitive, conversational means to discover a set of confidence-ranked possibilities.

Dillenberger suggests it won’t be difficult to get to the IBM cognitive system on z . You don’t even program a cognitive system. At most, you train it, and even then the cognitive system will do the heavy lifting by finding the most appropriate training models. If you don’t have preexisting training models, “just use what the cognitive system thinks is best,” she adds. Then the cognitive system will see what happens and learn from it, tweaking the models as necessary based on the results and new data it encounters. This also is where machine learning comes in.

IBM has yet to document payback and ROI data. Dillenberger, however, has spoken with early adopters.  The big promised payback, of course, will come from the new insights uncovered and the payback will be as astronomical or meager as you are in executing on those insights.

But there also is the promise of a quick technical payback for z data centers managers. When the data resides on z—a huge advantage for the z—you just run analytics where the data is. In such cases you can realize up to 3x the performance, Dillenberger noted.  Even if you have to pull data from some other location too you still run faster, maybe 2x faster. Other z advantages include large amounts of memory, multiple levels of cache, and multiple I/O processors get at data without impacting CPU performance.

When the data and IBM’s cognitive system resides on the z you can save significant money. “ETL consumed huge amounts of MIPS. But when the client did it all on the z, it completely avoided the costly ETL process,” Dillenberger noted. As a result, that client reported savings of $7-8 million dollars a year by completely bypassing the x-86 layer and ETL and running Spark natively on the z.

As Dillenberger describes it, cognitive computing on the z is here now, able to deliver a payback fast, and an even bigger payback going forward as you execute on the insights it reveals. And you already have a z, the only on-premises way to IBM’s Cognitive System.

DancingDinosaur is Alan Radding, a veteran information technology analyst, writer, and ghost-writer. Please follow DancingDinosaur on Twitter, @mainframeblog. See more of his IT writing at and here.


IBM zSystem Continues Surge in 4Q15

January 22, 2016

DancingDinosaur follows technology, not financial investments, so you’d be an idiot if you considered what follows as investment advice. It is not.  Still, as one who has built a chunk of his career around the mainframe, it is good to see the z System continuing to remain in the black and beating the sexier Power lineup although I do follow both closely. See the latest IBM financials here.


The IBM z13 System

 Specifically, as IBM reported on Tuesday, revenues from z Systems mainframe server products increased 16 percent compared with the year-ago period (up 21 percent adjusting for currency).  Total delivery of z Systems computing power, as measured in MIPS (millions of instructions per second), increased 28 percent.  Revenues from Power Systems were up 4 percent compared with the 2014 period (up 8 percent adjusting for currency).

Almost as good, revenues from Power Systems were up 4 percent compared with the 2014 period (up 8 percent adjusting for currency). Power revenues have been up most of the year although they got a little blurry in the accounting.

In the storage market, which is getting battered by software defined storage (SDS) on one hand and cloud-based storage on the other, IBM reported revenues from System Storage decreased 11 percent (down 7 percent adjusting for currency). The storage revenues probably won’t bounce back fast, at least not without IBM bringing out radically new storage products. That storage rival EMC got acquired by Dell should be some kind of signal that the storage market as the traditional enterprise players knew it is drastically different. For now object storage, SDS, and even Flash won’t replace the kind of revenue IBM used to see from DS8000 disk systems or TS enterprise tape libraries loaded with mechanical robotics.

Getting more prominence is IBM’s strategic initiative. This has been a company priority all year. Strategic initiatives include cloud, mobile, analytics, security, IoT, and cognitive computing. Q4 revenues, as reported by IBM, from these strategic imperatives — cloud, analytics, and engagement — increased 10 percent year-to-year (up 16 percent adjusting for currency).  For the full year, revenues from strategic imperatives increased 17 percent (up 26 percent adjusting for currency and the divested System x business) to $28.9 billion and now represents 35 percent of total IBM consolidated revenue.

For the full year, total cloud revenues (public, private and hybrid) increased 43 percent (up 57 percent adjusting for currency and the divested System x business) to $10.2 billion.  Revenues for cloud delivered as a service — a subset of the total cloud revenue — increased 50 percent to $4.5 billion; and the annual as-a-service run rate increased to $5.3 billion from $3.5 billion in the fourth quarter of 2014.

Meanwhile, revenues from business analytics increased 7 percent (up 16 percent adjusting for currency) to $17.9 billion.  Revenues from mobile more than tripled and from security increased 5 percent (up 12 percent adjusting for currency).

Commenting on IBM latest financial was Timothy Prickett Morgan, who frequently writes on IBM’s platforms. Citing Martin Schroeter, IBM’s chief financial officer, statements to analyst, Morgan suggested that low profit margins, which other financial analysts complained about, put pressure on the System z13 product line that launched early in the year. After a fast start, apparently, the z13 is now experiencing a slowdown in the upgrade cycle. It’s at this point that DancingDinosaur usually expects to see a new z, typically a business class version of the latest mainframe, the z13 in this case, but that does not appear to be in the offing. About the closest IBM got to that was the RockHopper model of the LinuxOne, a z optimized only for Linux, cloud, mobile, and analytics.

Morgan also noted that IBM added about 50 new mainframe customers for the year on an installed base of about 6,000 active customers. DancingDinosaur has been tracking that figure for years and it has not fluctuated much in recent years. And am never sure how to count the handful of IT shops that run a z in the IBM cloud.  But 5000-6000 active z shops still sounds about right.

Power Systems, which has also grown four quarters in a row, and was up 8 percent at constant currency. This has to be a relief to the company, which has committed over $1 billion to Power. IBM attributes some of this growth to its enthusiastic embrace of Linux on Power8, but Morgan complains of having no sense of how much of the Power Systems pie is driven by scale-out Linux machines intended to compete against Intel Xeon servers. Power also is starting to get some boost from the OpenPOWER Foundation, members that started to ship products in the past few months. It’s probably minimal revenue now but over time it should grow.

For those of us who are counting on z and Power to be around for a while longer, the latest financials should be encouraging.

DancingDinosaur is Alan Radding, a veteran information technology analyst and writer. Please follow DancingDinosaur on Twitter, @mainframeblog. See more of his IT writing at and here.

IBM Simplifies Internet of Things with developerWorks Recipes

August 6, 2015

IBM has a penchant for working through communities going back as far as Eclipse and probably before. Last week DancingDinosaur looked at the developerWorks Open community. Now let’s look at the IBM’s developerWorks Recipes community intended to address the Internet of Things (IoT).

recipes iot sensor tag

TI SensorTag

The Recipes community  will try to help developers – from novice to experienced – quickly and easily learn how to connect IoT devices to the cloud and how to use data coming from those connected devices. For example one receipe walks you through Connecting the TI Simplelink SensorTag (pictured above) to the IBM IoT foundation service in a few simple step. By following these steps a developer, according to IBM, should be able to connect the SensorTag to the IBM quickstart cloud service in less than 3 minutes. Think of recipes as simplified development patterns—so simple that almost anyone could follow it. (Wanted to try it myself but didn’t have a tag.  Still, it looked straightfoward enough.)

IoT is growing fast. Gartner forecasts 4.9 billion connected things in use in 2015, up 30% from 2014, and will reach 25 billion by 2020. In terms of revenue, this is huge. IDC predicts the worldwide IoT market to grow from $655.8 billion in 2014 to $1.7 trillion in 2020, a compound annual growth rate (CAGR) of 16.9%. For IT people who figure out how to do this, the opportunity will be boundless. Every organization will want to connect its devices to other devices via IoT. The developerWorks Recipes community seems like a perfect way to get started.

IoT isn’t exactly new. Manufacturers have cobbled together machine-to-machine (M2M) networks Banks and retailers have assembled networks of ATMs and POS terminals. DancingDinosaur has been writing about IoT for mainframe shops for several years.  Now deveoperWorks Recipes promises a way for just about anyone to set up their own IoT easily and quickly while leveraging the cloud in the process. There is a handful of recipes now but it provides a mechanism to add recipes so expect the catalog of recipes to steadily increase. And developers are certain to take existing recipes and improvise on them.

IBM has been trying to simplify  development for cloud, mobile, IoT starting with the launch of Bluemix last year. By helping users connect their IoT devices to IBM Bluemix, which today boasts more than 100 open-source tools and services, users can then run advanced analytics, utilize machine learning, and tap into additional Bluemix services to accelerate the adoption of  IoT and more.

As easy as IBM makes IoT development sound this is a nascent effort industry wide. There is a crying need for standards at every level to facilitate the interoperability and data exchange among the many and disparate devices, networks, and applications that will make up IoT.  Multiple organizations have initiated standards efforts but it will take some time to sort it all out.

And then there is the question of security. In a widely reported experiment by Wired Magazine  hackers were able to gain control of a popular smart vehicle. Given that cars are expected to be a major medium for IoT and every manufacturer is rushing to jam as much smart componentry into their vehicles you can only hope every automaker is  scrambling for security solutions .

Home appliances represent another fat, lucrative market target for manufacturers that want to embed intelligent devices and IoT into their all products. What if hackers access your automatic garage door opener? Or worse yet, what if they turn off your coffee maker and water heater? Could you start the day without a hot shower and cup of freshly brewed coffee and still function?

Running IoT through secure clouds like the IBM Cloud is part of the solution. And industry-specific clouds intended for IoT already are being announced, much like the Internet exchanges of a decade or two ago. Still, more work needs to be done on security and interoperability standards if IoT is to work seamlessly and broadly to achieve the trillions of dollars of economic value projected for it.

DancingDinosaur is Alan Radding, a veteran IT analyst and writer. Please follow DancingDinosaur on Twitter, @mainframeblog. See more of his IT writing at and here.









IBM Creates Comprehensive Cloud Security Portfolio

November 6, 2014

On Wednesday IBM introduced what it describes as the industry’s first intelligent security portfolio for protecting people, data, and applications in the cloud. Not a single product but a set of products that taps a wide range of IBM’s cloud security, analytics, and services offerings.  The portfolio dovetails with IBM’s end-to-end mainframe security solution as described at Enterprise2014 last month.

Cloud security certainly is needed. In a recent IBM CISO survey, 44% of security leaders said they expect a major cloud provider to suffer a significant security breach in the future; one that will drive a high percentage of customers to switch providers, not to mention the risks to their data and applications.  Cloud security fears have long been one of the biggest impediments to organizations moving more data, applications, and processes to the cloud. These fears are further complicated by the fact the IT managers feel that much their cloud providers do is beyond their control. An SLA only gets you so far.

2014 IBM study of CISO 44 high

The same survey found 86% of leaders surveyed say their organizations are now moving to cloud, of those three-fourths see their cloud security budget increasing over the next 3-5 years.

As is typical of IBM when it identifies an issue and feels it has an edge, the company assembles a structured portfolio of tools, a handful of which were offered Wednesday. The portfolio includes versions of IBM’s own tools optimized for the cloud and tools and technologies IBM has acquired.  Expect more cloud security tools to follow. Together the tools aim to manage access, protect data and applications, and enable visibility in the cloud.

For example, for access management IBM is bringing out Cloud Identity Services which  onboards and handles users through IBM-hosted infrastructure.  To safeguard access to cloud-deployed apps it is bringing a Cloud Sign-On service used with Bluemix. Through Cloud Sign-On developers can quickly add single-sign on to web and mobile apps via APIs.  Another product, Cloud Access Manager, works with SoftLayer to protect cloud applications with pattern-based security, multi-factor authentication, and context-based access control. IBM even has a tool to handle privileged users like DBAs and cloud admins, the Cloud Privilege Identity Manager.

Here is a run-down of what was announced Wednesday. Expect it to grow.

  • Cloud Identity Services—IBM Cloud Identity Services
  • Cloud Sign-On Service –IBM Single Sign On
  • Cloud Access Manager –IBM Security Access Manager
  • Cloud Privileged Identity Manager—IBM Security Privileged Identity Manager (v2.0)
  • Cloud Data Activity Monitoring—IBM InfoSphere Guardium Data Activity Monitoring
  • Cloud Mobile App Analyzer Service –IBM AppScan Mobile Analyzer
  • Cloud Web App Analyzer Service –IBM AppScan Dynamic Analyzer
  • Cloud Security Intelligence –IBM QRadar Security Intelligence (v7.2.4)
  • Cloud Security Managed Services –IBM Cloud Security Managed Services

Now let’s see how these map to what the z data center already can get with IBM’s End-to-End Security Solution for the Mainframe. For starters, security is built into every level of the System z structure: processor, hypervisor, operating system, communications, and storage.

In terms of security analytics; zSecure, Guardium, AppScan, and QRadar improve your security intelligence. Some of these tools are included in the new Cloud security portfolio. Intelligence is collected from z/OS, RACF, CA ACF2, CA Top Secret, CICS, and DB2. The zSecure suite also helps address compliance challenges. In addition, InfoSphere Guardium Real-time Activity Monitoring handles activity monitoring, blocking and masking, and vulnerability assessment.

Of course the z brings its crypto coprocessor, Crypto Express4S, which complements the cryptographic capabilities of CPACF. There also is a new zEC12 coprocessor, the EP11 processor, amounting to a Crypto Express adapter configured with the Enterprise PKCS #11 (EP11) firmware, also called the CEX4P adapter. It provides hardware-accelerated support for crypto operations that are based on RSA’s PKCS #11 Cryptographic Token Interface Standard. Finally, the z supports the necessary industry standards, like FIPS 140-2 Level 4, to ensure multi-tenanted public and private cloud workloads remain securely isolated. So the cloud, at least, is handled to some extent.

The mainframe has long been considered the gold standard for systems security. Now it is being asked to take on cloud-oriented and cloud-based workloads while delivering the same level of unassailable security. Between IBM’s end-to-end mainframe security solution and the new intelligent (analytics-driven) security portfolio for the cloud enterprise shops now have the tools to do the job right.

And you will want all those tools because security presents a complex, multi-dimensional puzzle requiring different layers of integrated defense. It involves not only people, data, applications, and infrastructure but also mobility, on premise and off premise, structured, unstructured, and big data. This used to be called defense in depth, but with the cloud and mobility the industry is moving far beyond that.

DancingDinosaur is Alan Radding, a veteran IT analyst with well over 20 years covering IT and the System z. You can find more of my writing at and here. Also follow DancingDinosaur on Twitter, @mainframeblog.

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