Tuesday, June 2, 2015

The Mainframe is a Witch!

The Mainframe Witch-Hunt
The Salem witch trials were an ugly moment in US history. A combination of groupthink, bad religion and confirmation bias led an entire community to act irrationally. And the results were not pretty. Twenty people—most of them women—were executed for being something we know they could not have been.
The mainframe has also been a victim of groupthink, bad religion and confirmation bias. That groupthink centers around the popular but clearly erroneous idea that mainframe is excessively expensive—and that its days are somehow numbered. The bad religion is a dogmatic faith in all things commodity compute. And confirmation bias is a refusal to look objectively at the facts of the matter.
Those facts include:
  • Mainframes account for 68% of IT production workloads, but only 6% of IT spend (Source: Solitaire Interglobal)
  • Over the past five years, costs at server-intensive IT shops have gone up 65% more than those of mainframe-intensive IT shops. (Source: Rubin Worldwide)
  • Mainframe-intensive companies earn 28% more per dollar of IT infrastructure than server-intensive companies. (Source: Rubin Worldwide)
  • Between 2005 and 2014, the ratio of mainframe MIPS to mainframe full-time equivalent employees has grown 351%. As a matter of historical significance, never in the history of IT, have so many owed so much to so few, as when it comes to dedicated, long-serving mainframe employees. (Source: Gartner)
In other words, mainframe economics have been proven to be better than distributed computing economics. Not by a little, but by a lot.
The Enlightened CIO
CIOs who don’t suffer from groupthink, bad religion and confirmation bias will recognize the mainframe for what it is: the world’s most powerful, scalable, reliable, secure and resource-efficient platform. The good news is that puts them in position to take unfair advantage of the mainframe’s power and superior economics to achieve things that less-enlightened peers cannot—especially when it comes to supporting technology intense requirements for rapidly growing mobile, transactional, and IoT workloads.
The bad news is that enlightenment doesn’t come without conflict. For one thing, resistance to groupthink requires a certain sort of intellectual backbone. You have to believe what you believe because it’s true—not simply because everyone else believes it. 
For another, you have to invest in the generational transfer of mainframe stewardship. One casualty of the “mainframe witch-hunt” has been the diversion of an entire generation of IT professional away from the world’s most powerful and secure compute platform. So if you’re going to keep leveraging the platform as your veteran mainframe talent heads into retirement, you must transform your mainframe culture and your mainframe toolkit.
Neither of these things comes easy. But if you have a mainframe and the will to fight for what's right, you will be able to do more for less—and with far greater confidence—than those who have been crying “Witch!” for far too many years. 

Monday, May 25, 2015

Visa Moves At The Speed Of Money

Visa Moves At The Speed Of Money

This story appears in the May 25, 2015 issue of Forbes.

Sitting inconspicuously among the Pentagon contractors and trade associations in a western suburb of Washington, D.C. is a low-slung building protected by landscaped berms and a fence topped by razor wire. The exterior walls are a patchwork of whites, grays and greens to confuse passersby trying to judge its size from a distance. A 24-foot-deep moat provides a last line of defense against anybody trying to crash a vehicle through its walls.
But while this fortress could easily pass as an outpost of some shadowy three-letter spy agency, it’s actually home to something far more mundane–and far more powerful. This is the nerve center of Visa, the global credit card company. Walk through a biometric security scanner into its data center–as I did recently–through a room dominated by huge video screens and past ranks of EMC data storage units holding petabytes of information ready for instant recall, and you’ll find a single IBM Z-class mainframe, like the black monolith in Stanley Kubrick’s science-fiction classic 2001, quietly crunching up to 100 billion computations every second. Almost every time somebody swipes a Visa card anywhere in the world, the transaction flows through here or a sister facility in Colorado. The company instantly checks 500 variables, from the customer’s location to his spending habits to the location of the merchant, and spits out a thumbs-up or down on whether to allow the charge to go through. It’s the sort of centralized, Big Iron processing that Silicon Valley was supposed to obliterate years ago with peer-to-peer networks and cheap Internet-connected devices.
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Visa CEO Charlie Scharf: “Big tickets or small tickets, we like it all.” (Photo credit: Matthew Furman For Forbes)
Yet Visa endures. And grows. The company, which started 57 years ago as a nonprofit association of banks, went public on the eve of the financial crisis in 2008 and sailed through it with a 390% total shareholder return over the past six years, landing as No. 263 on FORBES’ 2015 Global 2000 list of the world’s largest companies.
It is also one of the planet’s most prodigious cash machines. Visa had 60% operating profit margins on revenues of $12.7 billion last year and cash flow of more than $7 billion (dwarfing capital expenditures of $500 million). Visa handled 100 billion purchases worth $6.8 trillion, according to The Nilson Report, which tracks the credit card industry. That’s double the amount of rival MasterCard and 14 times American Express. For perspective, Visa thinks there are another $11 trillion in cash and check transactions in the world each year that could go electronic. And Visa’s transaction volume has been growing steadily at 10% a year since the IPO.
Nonetheless, there are threats. Retailers have won billions of dollars in antitrust suits accusing the company of helping banks keep fees–which can clip as much as 2.75% off a merchant’s revenue–too high. Customers love the easy credit but loathe interest rates that can top 20%. West Coast venture capitalists see Visa as an oligopolistic dinosaur and are pouring hundreds of millions of dollars into rivals that use Bitcoin. Meanwhile, banks, which collect the bulk of the fees from merchants, are warily eyeing Visa’s efforts to bypass them and forge direct relationships with retailers by offering one-click Internet transactions and providing data on consumer behavior that only Visa possesses.
None of which seems to faze Visa’s chief executive, Charlie Scharf. In time, he says, would-be Visa disruptors all discover–just as Internet upstarts PayPal, Square and Uber did–that it is simply easier and more economical to work with his leviathan than fight it. “They don’t do what we do,” says Scharf, 50, who was a longtime lieutenant to JPMorgan Chase Chief Jamie Dimon and took charge at Visa in 2012. “They don’t have the network we have.”
“It took us 50 years to get to 36 million merchants globally,” says James McCarthy, executive vice president in charge of innovation and a former IBM executive who joined Visa in 1999. “Now,” he says, holding his iPhone in the air, “we’ve got 7 billion of these.”
Scharf has been immersed in capital markets since he was a teenager. He interned at his father’s offices at Shearson Lehman Bros. in New York from the age of 13 and landed a job as Jamie Dimon’s personal assistant during his senior year at Johns Hopkins. Instead of leaving for Wall Street after graduation in 1987 he joined Dimon at a Baltimore lending outfit known as Commercial Credit, run by an ambitious banker named Sanford I. “Sandy” Weill. For the next two decades he accompanied Weill and Dimon on a journey through the evolving financial marketplace as Weill bought Shearson, Salomon Smith Barney, Travelers insurance and ultimately, in 1998, Citigroup.
After Dimon and Weill fell out in the late 1990s, in 2000 Scharf followed Dimon to Bank One in Chicago, where the two of them became closer (Scharf and his boss even shared a guitar instructor). He was named chief financial officer at the age of 35 and then joined JPMorgan Chase as head of retail financial services, including mortgages, when it bought Bank One in 2004. Scharf guided JPMorgan’s retail and mortgage business through the financial crisis–the big bank took federal bailout funds only “because we were asked,” Dimon later said–but quit that job in 2011 to become a partner in JPMorgan’s $10 billion private equity arm in what some took as a demotion. Dimon says Scharf came to him looking for a change after years in the same retail job. “What else could I do?” says Dimon, now JPMorgan Chase’s chairman and CEO.
He described his longtime lieutenant as “very diligent, very bright, very honest,” who has “an ability to handle lots of complex things, relate to lots of people.”
All of which is proving useful in Visa’s C-suite. The company has roots in BankAmericard, which San Francisco-based Bank of America rolled out in 1958 as the first credit card available to middle-class consumers and smaller merchants who lacked their own private charge cards.
Originally a simple paper card with a $300 credit limit, BankAmericard was vulnerable to fraud. Merchants literally flipped through telephone-book-size volumes to check the validity of card numbers. Bank of America spun out what became Visa in 1970, and three years later Visa unveiled the first electronic authorization system, called BASE I. It followed with BASE II in 1974, an electronic system for clearing and settling transactions among the banks that issue cards to consumers and “acquiring banks,” which represent merchants.
Now Visa sits at the center of a global network of more than 1,500 banks linked by 1.5 million miles of secure fiber-optic lines, serving as a sort of intelligent switch for deciding whether to move money to pay for each transaction. It also scouts for fraud and helps settle disputes over charges. Visa doesn’t reap the reward of those usurious 20% interest fees or even the vast majority of the 2.75% charged to merchants. Instead it has to be content collecting 8 to 20 basis points, or hundredths of a percent, off of each transaction.
At the heart of the system is that annoying-to-type 16-digit number embossed on the plastic bulging your wallet. When a customer swipes a card or cellphone at a merchant’s point-of-sale terminal, that information is transported to one of Visa’s data centers. Within milliseconds its computers use a constantly evolving set of algorithms to determine whether the purchase fits the customer’s buying profile–or whether it’s likely to be fraudulent or exceed the bank’s credit limit.



But there’s a somewhat fatal flaw to all of this, one Scharf knew he’d have to contend with when he joined the firm looking to expand more rapidly into mobile commerce and the multitrillion-dollar cash economy. With access to a credit card number, plus a few other easily obtainable details, fraudsters gain full control of an account’s purchasing power and can encode magnetic strips on blank plastic cards (Amazon.com will sell you a magnetic card reader/writer for $17). Worldwide, credit card fraud is estimated to have topped $14 billion last year, according to The Nilson Report, with banks and merchants bearing most of the cost.
To truly protect accounts, you need to keep those 16-digit numbers private, restricting access to those within Visa’s secure network. There are existing solutions: European card issuers have used difficult-to-copy microchips and personal identification numbers to protect transactions for years, but U.S. merchants have resisted paying for the setup.
Systems like Apple Pay, which operate with software-based encryption known as “tokenization,” promise an alternative, one with more security yet without the complication of punching a PIN into a keyboard. Instead of using the customer’s actual 16-digit credit card number, a phone equipped with Apple Pay transmits a dummy number, a software “token,” as it’s known, which alerts the computer terminal at the retailer’s checkout counter to request another vital piece of information from a chip in the phone: a cryptogram, or a long string of randomly generated numbers, that only Visa’s computers can verify. Transactions can be further protected by biometric security like thumbprint scanners and even facial recognition. If a hacker somehow cloned a customer’s phone, Visa’s computers would detect that it was being used in two places at once and shut down the account.
Coupling that kind of security with the ubiquity of mobile phones could allow Visa to attract millions more customers around the globe and billions more transactions–plus the fees. For a glimpse of where this leads, look at what happened when Visa lowered its fees and eliminated signatures for fast-food and many other purchases under $25 (who steals a hamburger, anyway?). McDonald’s quickly became the largest merchant by number of transactions on the Visa network.
“Tokenization is the enabler,” says Scharf, who demanded weekly updates from his team during the yearlong process of building Apple Pay. “Whether they’re big tickets or small tickets, we like it all.”
Scharf is a technology true believer. He joined Microsoft’s board last year, and he’s bingeing on talent like Rajat Taneja, 50, who once ran Microsoft’s e-commerce platform. Scharf recruited Taneja away from Electronic Arts in 2013 to run Visa’s sprawling technology division. Working out of Visa’s industrial-chic offices overlooking San Francisco Bay, Taneja will hire 2,000 software engineers and developers, including 1,000 in the U.S., to create software and tools for online and mobile purchases this year, on top of the 6,000 employees he now oversees. He also oversees the once unthinkable process of opening up Visa’s network to outside developers working on the next generation of mobile apps. The company has already released a set of application program interfaces, or APIs, to simplify transactions and speed the adoption of Visa Checkout, an encrypted, standardized version of Amazon’s one-click payment system for websites.
“We’re telling [developers], ‘Please dream, please build new applications,’ ” says Taneja.
Scharf clearly recognizes the potential threat from new electronic payment systems, most famously Bitcoin, which replaces Visa’s sprawling computer network with a single registry maintained by many computers, where payments are transferred from one account to another with a simple journal entry. No one owns Bitcoin; it’s just a platform created by an anonymous coding genius (or possibly a group of several geniuses) working under the name “ Satoshi Nakamoto.” Venture capitalists, excited by the buzz around the new currency, have poured more than $300 million into businesses that enable Bitcoin transactions or use its underlying currency. “I don’t stay awake at night worrying about Bitcoin,” says Scharf, “but I’m also not dismissive of it.”



Under Scharf, Visa is experimenting with alternative payment systems. It was an early investor in Square, which allows small merchants to process card transactions on their cellphones. Visa also reportedly put a few million dollars into LoopPay, which developed an ingenious method for generating a wireless version of a credit card’s magnetic strip. Within six months Visa’s investment doubled in value, as Samsung scooped up LoopPay to install in its phones.
Now Visa is working with automakers to embed tokenization into cars, turning them, in essence, into rolling credit cards. Consumers will be able to query their onboard navigation system about the nearest pizza joint, order a large pie with bacon and onions, and pay for it in the drive-through via a secure Bluetooth connection linked to the car’s unique vehicle identification number. Need a fill-up? Pull up to the pump, put the nozzle in your car and let the software pay.
There’s another huge opportunity to all this technology, one the company is only starting to leverage: personal data. Every time you swipe your card, Visa collects a tranche of information deep enough to drown an NSA agent: spending habits, travel history and, with the addition of GPS-enabled devices, exact locations. The company knows more about the habits, hobbies, tastes and trends of the world’s consumers than any organization on earth. “Visa has the most data–it’s the single-biggest advantage they have,” says Matt Harris, a managing director with Bain Ventures who invests in alternative payment systems.
Lately it has been tapping that vast trove of information to help member merchants. In 2011 Visa and clothing retailer Gap announced Mobile 4 U, for example, a service that allows Gap to fire text messages to consumers alerting them to deals when they are near a Gap store. Only Visa has all the data necessary to tell a retailer that a loyal, big-spending customer is nearby and possibly open to a discount offer, a potential gold mine for marketers–and potentially transformative for the way goods are marketed. Of course, location-based marketing might strike some people as creepy, so to assuage concerns Scharf says Visa will allow such programs only on an opt-in basis.
Visa’s urge to help retailers isn’t totally altruistic: The company’s relationship with merchants remains strained, and Visa is clearly looking to do more than just gin up additional transactions. Retailers have won billions of dollars in antitrust suits against Visa and MasterCard, accusing them of helping banks keep fees too high with rules that prohibited them from encouraging customers to use cash or less expensive debit cards. As part of the settlement Visa and MasterCard dropped those rules, but the two are still being sued by holdouts, including Wal-Mart, which are seeking billions more.
“Visa continues to have some market power to set fees higher than they should be,” said Craig Wildfang, the Minnesota lawyer who negotiated a $7.25 billion settlement of antitrust claims with Visa and MasterCard that was approved in 2013.
“There is and there has been price competition in the business,” says Scharf. “People have choices.”
Perhaps the biggest problem for Visa is one that’s been part of the company since it was formed: Visa doesn’t issue Visa cards, and that’s unlikely to change anytime soon. “They don’t have any direct relationships with cardholders or any direct physical relationships with merchants,” says Harris. Which means Visa can’t charge higher fees for providing rewards to consumers, say, or forge direct relationships with retailers unless it enlists an acquiring bank as an ally. Despite all Scharf’s ambitions he remains, ultimately, a vassal of the banks.

Scharf was forced to confront this weakness shortly after taking charge at Visa when JPMorgan Chase, the largest issuer of Visa cards, threatened to move its business to MasterCard unless Visa set up a private-label version of its processing network for the bank under a ten-year contract that reportedly includes lower fees. Scharf folded in this contest against his former boss, Dimon. Neither would comment on the deal. Pressed to discuss Visa’s relationship with merchants and banks, Scharf says simply: “We understand who our clients are.”
For the time being Scharf will have to remain content to boost revenue based on increasing the number of transactions it processes rather than increasing its cut. Visa’s greatest growth, not surprisingly, is likely to come in emerging markets, where cash dominates (and fees tend to be higher). China, so far, is off limits, with its $6.9 trillion credit card business held by the state-controlled UnionPay system, but Chinese officials plan to open up the processing side of the business to foreign companies.
Africa, too, represents a big opportunity. Developers there came up with a clever way to move money via prepaid cellphones, and Visa adapted its existing mechanism for paying refunds into a worldwide cash-transfer system. Elsewhere in the developing world, Visa has used its analytics to help retailers identify bottlenecks, like the grocer in Indonesia who increased sales by accepting electronic payments for small transactions and thus sped customers through the checkout line.
Meanwhile, sales and earnings should climb steadily for some time. Deutsche Bank estimates Visa’s revenue will grow another 11% next year to $15.4 billion as earnings per share, buoyed by a $5 billion stock buyback program, rise 15%. At some point Scharf will have to negotiate the purchase of Visa’s European operation, which is still owned by member banks, under a put option that could cost $10 billion, but for now Visa gets fee income from Europe anyway. Besides, that’s just loose change to a company with ambitions as big as Visa’s. “The Visa story is not a two-year story or a five-year story,” Scharf says. “We have the opportunity to grow this company for decades to come.”






Wednesday, May 13, 2015

'Mainframe is nog lang niet dood’


'Mainframe is nog lang niet dood’


13-05-2015 11:25 | Door Annemiek Sprado | Lees meer artikelen over: Mainframes | Lees meer over de bedrijven: KLM, IBM, Oracle, HP, Computer Profile | Er zijn nog geen reacties op dit artikel | Dit artikel heeft nog geen cijfer (te weinig beoordelingen) | Permalink

IBM mainframe Z13
Mainframe en midrange-systemen zijn nog steeds in gebruik bij Nederlandse bedrijfsvestigingen. Vooral bij overheidsinstellingen, transportbedrijven en de financiële sector zijn dit soort systemen nog lang niet uitgefaseerd. Met name de complexiteit van het migreren van legacysystemen is daar debet aan. Dat blijkt uit een analyse van Computer Profile. Grote namen die de systemen blijven aanbieden zijn IBM, HP en Oracle.
Van de ruim zesduizend Nederlandse bedrijfsvestigingen met vijftig of meer werknemers maakt 14, 4 procent gebruik van mainframe en/of midrange-systemen. In 2014 lag dit percentage nog op 16 procent. Computer Profile voorziet dat zowel de consolidatietrend als het verplaatsen van applicaties en rekencentra naar de cloud zullen bijdragen aan een verdere daling van mainframes en midrange-systemen.
Het aandeel van IBM blijft dan ook stijgen binnen de markt, terwijl andere spelers terrein moeten opgeven of zelfs verdwijnen. Een jaar geleden vormde de IBM-systemen ongeveer 70 procent van de high-end servers. Momenteel is dit circa 80 procent van het totaal aantal geïnventariseerde systemen. Het leeuwendeel van de zwaardere systemen wordt gevormd door de Power Systems van IBM, de HP Integrity/9000-systemen en de Sparc-systems van Oracle (Sun). Minder dan 5 procent van de zware serversystemen betreft mainframes. Binnen de mainframe-systemen komt het IBM Systeem ‘z’ het meest voor. Begin dit jaar introduceerde Big Blue nog een nieuw mainframe, waarvoor de gigant ruim een miljard dollar investeerde in de ontwikkeling.

Legacysystemen

Vooral bij overheidsinstellingen en het handelssegment zijn midrange-systemen met 23 procent vaak in gebruik. Deze systemen zijn nog vaak in gebruik vanwege de complexiteit van het migreren van legacy-systemen binnen deze sectoren. Daarom zal de markt voor mainframes en midrange-systemen voorlopig aanhouden. Toch is er al enige tijd sprake van een krimp. Een deel van de ondervraagde bedrijfsvestigingen die werkt met een mainframe of midrange-systeem maakt op afstand gebruik van deze systemen. De machine wordt daarbij in veel gevallen door een zuster- of moederlocatie gehost, al dan niet in het buitenland.
Bij 7,3 procent van de bedrijven die een mainframe of midrange-systeem op eigen vestiging inzetten komen nog lokaal draaiende high-end servers voor. Maar volgens het onderzoek zijn teruglopende lijnen voor alle marktsegmenten zichtbaar. Locaties uit het segment National Enterprises maken nog het meest gebruik van lokaal draaiende mainframes en midrange-systemen. Hieronder vallen bedrijfsvestigingen van commerciële organisaties met 250 tot 2500 medewerkers in Nederland.

Transport en financiën

Slechts 2 procent van de vestigingen geeft aan gebruik te maken van een mainframe. De transportsector wordt gekenmerkt door een beperkt aantal organisaties met meer dan vijftig medewerkers. Binnen deze wat kleinere groep (in absolute aantallen) is het percentage locaties met mainframe-gebruik relatief hoog. Dit betreft bijvoorbeeld vestigingen van KLM, Eurocontrol, UPS of DSV. Daarnaast is het mainframe-gebruik bovengemiddeld in het handelssegment en bij financiële dienstverleners. Het percentage bedrijfsvestigingen binnen de doelgroep waar lokaal een mainframe staat opgesteld, bedraagt minder dan 0,5 procent.
Ook het gebruik van midrange-systemen, met daarin hoofdzakelijk de IBM Power Systems, de HP Integrity Systems en de Oracle Sparc Systems, blijft teruglopen. Een jaar geleden gaf 15 procent van de bedrijfsvestigingen met vijftig of meer werknemers aan gebruik te maken van dergelijke systemen. Dit is inmiddels gedaald naar 13 procent. Ook het percentage bedrijfslocaties met een plaatselijk draaiend systeem is gedaald van 9 procent in 2014 naar het huidige 7,3 procent.


Read more: http://www.computable.nl/artikel/nieuws/infrastructuur/5268028/2379248/mainframe-is-nog-lang-niet-dood.html#ixzz3a1DM8uPP

Monday, April 27, 2015

IBM z Systems mainframe and right-time insights: The tale beyond the tape

IBM z Systems mainframe and right-time insights: The tale beyond the tape




 
 
IBM z Systems z13Today, the IT world is abuzz with the introduction of the next generation of the mainframe, IBM z Systems. The new flagship of the mainframe world, the IBM z13, comes with a pretty impressive stat sheet:
  • Forty percent more total capacity
  • Three times increase in memory
  • Two times increase in cache
  • Single-instruction multiple-data (SIMD)
  • Simultaneous multithreading (SMT)
This is all great stuff, but what does it mean to you and the challenges you face every day? Specifically, can this new box improve your ability to capture new opportunities at the point of impact?
You betcha!
Let’s start with “mega-memory.” There’s a lot of focus on in-memory computing (IMC) these days, especially for performing analytics against data warehouses. IBM DB2 with BLU Acceleration—the next generation database technology for in-memory computing—is now available for Linux on z Systems. The 10 TB of available mainframe memory provides a whole lot of room for innovative DB2 BLU solutions on z Systems. Turn on BLU and get answers from your Linux data orders of magnitude faster and with very little effort!
in-memory computingAlthough DB2 for z/OS is not formally classified as an IMC database, many clients today already execute 90 percent or more of their DB2 transactions in memory. The availability of three times more memory, a new cache design, improved input/output bandwidth and compression can help serve up more data faster for analysis.
While I’m on the topic of DB2 for z/OS, I’d like to point out that the IBM Competitive Project Office just concluded a study comparing z13 with attached IBM DB2 Analytics Accelerator to a comparably configured competitive system, and found that the IBM configuration delivered 17 times the performance and 13 times the price performance of the competition for a representative enterprise-class workload (161,166 concurrent reports of widely varying complexity driven by 80 concurrent users). The Accelerator can already deliver amazing results to clients (see my blog post on the topic); z13 raises the bar even further.
The DB2 Analytics Accelerator plays a significant role in the z Systems analytics strategy, and this appliance can evolve to support new and increasingly innovative use cases, such as in-database transformation and advanced predictive analytics. These enhancements can enable faster and more sophisticated reporting and allow for deep analytics application integration. For example, IBM is now doing preliminary new-technology studies with clients showing a 10 times improvement in modeling speed. This can give these clients a competitive edge by allowing them to build and refresh sophisticated predictive models faster and with less effort, which in turn allows them to serve their customers more effectively.
Linux on z Systems is already well known for its ability to consolidate workloads from distributed systems. Cognos is an ideal sort of workload to take advantage of Linux virtualization (see my blog post on how IBM uses z Systems to consolidate all of its Cognos needs onto just two servers). With SMT enabled, clients who run Cognos on Linux under z/VM could see up to a 60 percent increase in throughput per core with the new z13. An already strong consolidation story is now downright irresistible!
Predictive modeling is critical for many high-value business analysis functions, such as portfolio optimization, vehicle routing and delivery scheduling, network capacity planning and financial forecasting. This sort of complex mathematical modeling is a processor-intensive activity. Being able to produce rich, accurate models—within time windows that are usually heavily constrained—requires fast and specialized processing. The prior generation of mainframe, the IBM z Enterprise EC12, has been a proven performer for handling these types of applications. The z13 takes this performance to a whole new level.
Compared to the zEC12, the z13 is showing significant improvements in the performance of two key mathematical libraries: z/OS MASS (Mathematical Acceleration Subsystem) demonstrates up to a 2.9 times improvement on the new machine, and up to 6.8 times improvement for functions that have been improved through exploitation of the new SIMD capability. Similarly, z/OS ATLAS (Automatically Tuned Linear Algebra Software) improvements have been measured at up to 44 percent overall, and 80 percent for an SIMD-enabled function.
Imagine being able to understand what action will delight your customer and improve your business results—an upgrade offer, free shipping, a cross-sell opportunity—in real time, at the moment of engagement; with z13, this is the new possible!
IBM z Systems FamilyThe premiere resource optimization product from IBM,IBM CPLEX Optimizer on z/OS, has been modified to use the new z13 SIMD capability and has demonstrated up to 33 percent overall improvement in throughput and 75 percent improvement with SIMD enabled.
Imagine being able to adjust operations with agility so that you can react to changing conditions—reroute transportation patterns, change the order of trade settlements, redeploy finite resources—while always maximizing business results. With z13, this is the new possible!
IBM takes the mainframe’s role in analytics very seriously, and we’ve been doing so for quite a few machine generations! These are just some examples of how today’s new generation of mainframes further solidify the role of z Systems as a premiere “system of insights.” Why not take a look at how z13 can help you capture new opportunities at the point of impact?
z13: imagine the possibilities!

Paul DiMarzio has 30+ years experience with IBM focused on bringing new and emerging technologies to the mainframe. He is currently responsible for developing and executing IBM’s worldwide z Systems big data and analytics portfolio marketing strategy. You can reach Paul on Twitter: @PaulD360.

Sunday, April 26, 2015

IBM sales dip 12% despite lift from new mainframe

IBM sales dip 12% despite lift from new mainframe

IBM's z13 mainframe
IBM's z13 mainframe started shipping in March. Credit: IBM

It was IBM's 12th straight quarter of declining revenue

IBM reported a 12 percent drop in revenue for the last quarter despite a big boost from its new z13 mainframe, which went on sale last month.
big data charts graphs analysis woman user
It's not all positive, however: Security issues and problems with some existing products leave room for
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Revenue for the quarter ended March 31 was $19.6 billion, with profit down 5 percent to $2.4 billion, IBM announced Monday.
Two-thirds of the company's business comes from overseas, and the strong U.S. dollar weighed on its results. Without the currency impact, and adjusting for businesses that IBM recently sold off, revenue would have been flat from a year ago, CFO Martin Schroeter said on IBM's earnings call.
Like its rival Hewlett-Packard, IBM has been watching its business shrink for several quarters as customers spend less on expensive hardware and IT services and devote more to cloud computing and mobile.
HP is trying to address the problem by splitting itself into two companies, while IBM has been selling off divisions that produce little profit, like its x86 server division, and investing in areas where it hopes to find growth.
On Monday, it said revenue from those "strategic imperatives," which include the cloud, analytics and mobile, increased more than 20 percent from a year earlier. But it's not enough to offset declines elsewhere.
Even allowing for the currency effects, sales fell 2 percent in IBM's global services division, to $12.2 billion, and 2 percent in its software division, to $5.2 billion.
Its hardware unit got a lift from new products. Revenue from mainframes more than doubled from a year earlier, and even IBM's Power servers division reported some growth, Schroeter said. The company will finish rolling out its new Power 8 chip across all servers this quarter, he said.
Still, revenue from IBM's hardware division was down 23 percent from last year, to $1.7 billion.
IBM is investing heavily to catch up in other areas, including spending $3 billion to create a new Internet of Things division. It's also betting on new analytics services that use its powerful Watson supercomputer, and mobile services developed with Apple.

Tuesday, March 31, 2015

Mainframe '60 per cent cheaper' than cloud, claims IBM

By Graeme Burton       

30 Mar 2015 0 Comments
SUSE Linux on IBM z
Running applications on the IBM z Systems mainframe is as much as 60 per cent cheaper than running the same suite of applications over a public cloud service - according to IBM's Steven Dickens, Linux go-to-market manager and platform economics lead at the systems vendor.
And the IBM z Systems, he adds, is also as much as 32 per cent cheaper for running a range of applications than standard x86 servers.
Further reading
Indeed, while z Systems hardware starts at around $70,000, its ability to run multiple workloads, including on-platform analytics - means that organisations can consolidate workload onto the platform. Furthermore, by running either Suse or Red Hat Linux instead of z/OS, the mainframe's proprietary operating system, the learning curve for IT staff should be relatively mild too, he adds.
"It costs more than an x86 blade, but from a total cost of ownership perspective - power consumption, cooling, software licensing, administration and overall data centre cost it's 32 per cent cheaper, like-for-like, than a x86 server and more than 60 per cent cheaper than public cloud," Dickens told this afternoon's Computing Mainframe Insights web seminar.
He cited the case of international art gallery White Cube, whose three-person IT department migrated from x86 servers to an entry-level z Systems mainframe running Linux in 2013 after suffering from downtime due to the inability of the existing infrastructure to scale reliably. "It achieved this [migration] without a lot of skills or investment. They have now run that for the last couple of years without a moment of downtime," said Dickens.
Larger organisations ought to be able to consolidate x86 servers and blades on a ratio of between 20-to-one and 40-to-one, added Dickens. The Meteorological Office in the UK, for example, was able to consolidate in a ratio of 17-to-one - being able to retire 17 x86 blades for every one z Systems mainframe deployed instead.
In practical terms, it means that a standard z Systems server can run an SAP environment, and also perform analytics at the same time, claimed Dickens. "That means what while you are in the store, at the counter paying for something, the retail system conducting the transaction can provide information about the customer there and then," said Dickens.
However, skills nevertheless remains an issue with some organisations, especially where applications are running on IBM's own z/OS operating system, rather than on Linux, which ought to be familiar with any computing graduate - and a growing number of school leavers.
Today's Computing Mainframe Insights web seminar will be available to view within the next 24 hours. Please check back to our website shortly to view the 40-minute session shortly.

Mainframe '60 per cent cheaper' than cloud, claims IBM

Mainframe '60 per cent cheaper' than cloud, claims IBM