SlideShare ist ein Scribd-Unternehmen logo
1 von 6
Downloaden Sie, um offline zu lesen
Marketplace Update
    April 15, 2010




•   Workload-Optimized Systems—
    IBM Shows the Way, Again
     By Charles King, Pund-IT, Inc.




                     Pund-IT, Inc.    Contact:
                     Hayward, CA      Office: 510-383-6767
                     U.S.A. 94541     Mobile: 510-909-0750
                                      charles@pund-it.com
                                      www.pund-it.com
Workload-Optimized Systems—IBM Shows the Way, Again
By Charles King, Pund-IT, Inc.

Introduction
Over the past two years, the IT industry and market have focused increasing attention on
workload-optimized computing systems—solutions which are designed for the require-
ments and to enhance the performance of specific business applications and processes. A
quick tour through recent IT press releases and news stories suggests that vendors of
every stripe are planning, promoting and/or building workload-optimized solutions of
some sort, and claiming that these solutions are the greatest thing since sliced cheese.

An example: At the event celebrating the conclusion of the Sun Microsystems acquisition,
Oracle executives cited workload optimization as a key factor in the deal and said that up-
coming Oracle Exadata clusters (which were originally designed for HP hardware) leverag-
ing Oracle’s software and Sun server and storage systems would blow away competing sys-
tems, particularly those of the company’s nemesis, IBM. Unfortunately, advertisements in
the Wall Street Journal and elsewhere confused the company’s claims by comparing new
Exadata clusters to the IBM Power 595 systems that dominated industry tpmC benchmarks
in 2008.

At best, that’s the equivalent of the owner of a new America’s Cup contender boasting that
his craft can beat past years’ winners while avoiding discussion of the ship he’s about to
face-off against. At worst, it qualifies as an apples/oranges comparison that ignores the
differences between cluster and integrated system technologies, along with software li-
censing costs and other issues which inherently affect business value. In any case, while
such pronouncements might provide entertaining fodder for discussion over a couple of
beers they do little to help to organizations looking for assistance with critical IT chal-
lenges.

So is there any clear way to accurately judge the qualities of workload-optimized systems,
along with the relative value of competing solutions? In a word, yes. As part of this discus-
sion, we believe a look at the history of IBM’s workload-optimized system efforts and the
company’s latest offerings can offer insight into the market as a whole.

Workload Optimization – What Is It?
Basically, a workload-optimized system is one designed and configured to provide optimal
performance for specific business applications or processes. Sounds simple enough but
while products like single-purpose servers might appear to qualify as workload-optimized,
the term is typically reserved for systems that require significant integration to support
highly complex applications. The IBM Smart Analytics Systems that debuted during the past
year are good examples of true workload-optimized systems.

Why have these technologies become such hot commodities? Because they are highly effi-
cient solutions for critical business problems. The fact is that complexity infests virtually
every acre of the enterprise IT landscape. Companies continue to rapidly deploy physical
servers and/or consolidate multiple systems via virtualization. Storage growth and per-
formance have for years outstripped the precepts of Moore’s Law. Networks shoulder data

                                              2
and throughput burdens today that would have squashed them a few years back. And all
the while, organizations want to lower costs while heightening the returns on their IT in-
vestments and information assets.

Potential Benefits for Enterprise Customers
Workload optimization is an effective approach to dealing with many of these issues, and
many enterprises employ staff or system integrators with specialized skills to maximize IT
performance. But as hardware, middleware and applications become ever more complex,
so does the process of making them work together successfully. At the same time, eco-
nomic challenges have led or forced many to examine the practical effects of IT CAPEX and
OPEX on their organizations. The result? Organizations need and want help to:

   1. Deploy IT solutions more quickly
   2. Lower overall costs
   3. Reduce risk

In essence, businesses want vendors to make IT simple, make IT affordable and make IT
work.

There are some areas and processes where the potential return afforded by workload opti-
mization is particularly notable: Transaction processing and database management lever-
age ever more robust network and Internet performance, making them critical to virtually
every enterprise. The same can be said of business process applications which scale to
meet changing or increasing demands. Spurred by advances in data storage, digital ar-
chives and records can and have become repositories of business value for able organiza-
tions. Collaboration and Web-based processes are increasingly common organizational
tools. Finally, business analytics helps organizations maximize the value of numerous in-
formation and business investments.

By applying their considerable knowledge and experience to fully optimize systems for spe-
cific workloads and applications, vendors like IBM have created optimized solutions that
dependably deliver higher levels of performance and are also easier and less expensive to
acquire, set up and manage

But Challenges for IT Vendors
Despite these numerous benefits, developing successful workload-optimized systems is no
easy thing. They require:
• Technical and strategic skills that comes from years of training and practical experience
• Highly integrated and tuned hardware components including microprocessors, servers,
      networking and storage
• Scalable middleware platforms, particularly databases and related assets
• Robust business applications and/or ISV partners
• Deep knowledge of businesses/markets/processes aligned with specific industries
• Significant, ongoing R&D investments

Given these points, it is fairly simple to define the characteristics of products that claim but
fail to be workload-optimized solutions. These include servers and/or clusters featuring lit-
tle or nothing more than factory-loaded software, and those which require a high degree of
traditional on-site integration and/or integration.
                                               3
Most importantly, successful workload optimization is not just a technological process but
one that requires an intimate knowledge of industry and business practices. As a result, so-
called workload-optimized products delivered by vendors with minimal expertise in target
markets and those developed without the close collaboration of ISV partners experienced
in specific vertical industries and business processes should be considered suspect.

IBM’s Workload-Optimized Systems—Looking Back
If experience is a crucial requirement for building successful workload-optimized systems,
it would be difficult to find a more qualified vendor than IBM. In a sense, workload optimi-
zation was simply a part of doing business at a time when systems were designed and built
individually for specific clients. As a result, IBM has been developing such solutions since
the 1950s, when the first Transaction Processing Facility (TPF) or Airline Control System
(ALCS) was deployed. That was followed in the 1970-80s by IBM System 38 and AS/400 so-
lutions designed for integrated application and data serving processes.

In the 1990s, IBM ramped up workload-optimized application and data serving processes
via IMS, CICS, and DB2 Sysplex technologies for the company’s flagship mainframes. The
decade also witnessed the Deep Blue systems IBM developed to play championship-level
chess. In February 1996, Deep Blue won a game against reigning world chess champion
Garry Kasparov, a first for a computer of any kind, though Kasparov won the overall match.
In a May 1997 six game rematch, Deep Blue beat Kasparov 3½ to 2½.

In the 2000s, IBM implemented workload optimization across numerous commercial busi-
ness applications. The company’s Web- and network-delivered solutions included Data-
power (for XML- & Web-based service oriented architectures (SOA) and the IBM WebSphere
Edge Server, which was designed for high-scale Web application serving. Workload optimi-
zation was also a critical component of the company’s “Shark” enterprise storage solutions
and the SAN Volume Controller for virtualized storage management. In 2008, the company
introduced Cognos Now for operational business intelligence, highlighting the growing im-
portance of the company’s Information Management strategy.

In fact, it can be argued that workload optimization is deeply ingrained in IBM’s DNA, from
the company’s research efforts from the physics of the microprocessor up through solution
and service development. Even as customized scale-up systems were replaced by general
purpose scale-out servers paired with increasingly complex software stacks, the company
continued to create and provide its customers workload-optimized solutions, recognizing
the fundamental, often unique value they provided to enterprises. The rush of attention
these technologies currently enjoy indicates that other vendors have finally woken up to
those benefits, and opportunities, too.

Looking Ahead…
IBM continues to leverage numerous acquired and internally-developed technologies to ad-
dress the growing need for workload optimization. 2009 proved to be a particularly busy
year for these efforts with the launch of the Lotus Foundations business collaboration
suite, the DB2 pureScale on PowerHA for scalable database management and the Guardium
solution database security management. The company also began utilizing workload opti-
mization in strategic efforts, with solutions like IBM Cloudburst for cloud computing de-
ployment and management and the Smart Analytics System 7600, a Power-based solution


                                             4
which triples the performance of business analytics and data warehousing processes while
requiring 1/3 the floor space of competing products.

This year, IBM is taking workload optimization to the next level. The new Smart Analytics
System 5600 and 9600 respectively leverage the company’s System x (x64) and System z
mainframe servers for maximally efficient business analytics. In addition, IBM’s new POW-
ER7 processors and attendant servers leveraging PowerVM virtualization, Active Memory
Expansion and related technologies should lend further punch to the company’s workload-
optimized portfolio. The same is true for IBM’s new fifth generation Enterprise X Architec-
ture (eX5) solutions, which leverage Intel’s latest Xeon 7500 chips.

IBM also announced the pureScale Application System, which combines POWER7-based
servers with WebSphere Application Server and DB2 pureScale software to handle heavy
transactional workloads, such as those required by smart utility grids. Additionally, the
company introduced a Partner Enablement program around workload optimization, which
includes new solutions designed for sale by company business partners, and IBM Global
Financing announced a related $500 million effort to encourage Sun Microsystems partners
to become IBM resellers.

Later in the year, IBM plans to introduce additional new workload-optimized systems.
These include the Business Analytics Optimizer, a hybrid system featuring both IBM System
z and BladeCenter technologies, and the InfoSphere Pack for improving customer insight
via data modeling technologies and Cognos reporting tools, and the Information Archive
(for information lifecycle management (ILM)) paired with the complementary IBM SONAS in-
tegrated high-scale tiered storage solution.

Bottom line—IBM has considerably more experience in workload optimization than any
other vendor, offers the industry’s broadest portfolio of workload optimized systems and
is forging ahead in the development of next-generation technologies solutions.

Summary Conclusions
The increasing focus on workload-optimized systems by both IT vendors and their custom-
ers is entirely practical and eminently sensible: such systems can deliver higher perform-
ance, lower set-up and management expenses, better ROI and TCO, and improved cus-
tomer satisfaction. In short, workload optimization answers what businesses fundamentally
want from vendors: To make IT simple, make IT affordable and make IT work.

But confusing claims and rhetoric have clouded just what constitutes true workload optimi-
zation. We believe these systems require proven expertise in hardware, middleware and ap-
plication integration, years of significant investments, continuing R&D commitments and
deep knowledge of businesses, markets and processes in specific industries. What work-
load-optimized systems are not are simple servers with factory-loaded software or products
delivered by vendors with little experience or expertise in the industries they target.

IBM’s workload optimization efforts began with the company’s first Transaction Processing
Facility (TPF) or Airline Control System (ALCS). Since then, IBM has built a wide variety of
systems, from IMS, CICS, and DB2 Sysplex technologies for mainframes to 2009’s IBM
Cloudburst for cloud computing and the Smart Analytics System 7600 whose performance
is designed to meet specific customer requirements. While workload optimization has been

                                             5
an essential part of IBM’s DNA for decades, other vendors finally appear to be waking up to
its benefits, too.

This year, IBM is taking workload optimization to the next level with the new Smart Ana-
lytics System 5600 (System x) and 9600 (System z), and the pureScale Application System.
IBM plans to introduce additional new workload-optimized systems later in 2010, including
the Business Analytics Optimizer, the InfoSphere Pack and the Information Archive with
complementary IBM SONAS storage systems.

Bottom line—IBM has considerably more experience in workload optimization than any
other vendor, offers workload-optimized solutions addressing a broad range of enterprise
business and computing challenges and is working hard on next-generation workload-
optimized systems and technologies. Enterprises considering the potential value that these
offerings might offer their organizations are well-advised to investigate IBM’s current and
upcoming workload-optimized systems.


© 2010 Pund-IT, Inc. All rights reserved.

About Pund-IT, Inc.
Pund-IT emphasizes understanding technology and product evolution and interpreting the effects these
changes will have on business customers and the greater IT marketplace.




                                                 6

Weitere ähnliche Inhalte

Andere mochten auch

CFO Summit XVI - Wheelhouse Advisors LLC
CFO Summit XVI - Wheelhouse Advisors LLCCFO Summit XVI - Wheelhouse Advisors LLC
CFO Summit XVI - Wheelhouse Advisors LLCWheelhouse Advisors LLC
 
How to integrate the results of the Country Reports in the Semantic Wiki
How to integrate the results of the Country Reports in the Semantic WikiHow to integrate the results of the Country Reports in the Semantic Wiki
How to integrate the results of the Country Reports in the Semantic WikiAtrium Forest
 
50 N 7th street
50 N 7th street50 N 7th street
50 N 7th streetjturner77
 
Fontana Arte Wall Lamps
Fontana Arte Wall LampsFontana Arte Wall Lamps
Fontana Arte Wall LampsAndrew Chris
 
2010/10 - Database Architechs presentation
2010/10 - Database Architechs presentation2010/10 - Database Architechs presentation
2010/10 - Database Architechs presentationDatabase Architechs
 
Brochure kamerlingh onnesstraat 13 groningen
Brochure   kamerlingh onnesstraat 13 groningenBrochure   kamerlingh onnesstraat 13 groningen
Brochure kamerlingh onnesstraat 13 groningenLonneke Kroon
 
Aanleg Groendak 11.11.2010
Aanleg Groendak 11.11.2010Aanleg Groendak 11.11.2010
Aanleg Groendak 11.11.2010Geert Elemans
 
Innovation china india_sep.07_a_panagariya
Innovation china india_sep.07_a_panagariyaInnovation china india_sep.07_a_panagariya
Innovation china india_sep.07_a_panagariyaAttaporn Ninsuwan
 

Andere mochten auch (14)

Articulo1
Articulo1Articulo1
Articulo1
 
Fur will fly!
Fur will fly!Fur will fly!
Fur will fly!
 
CFO Summit XVI - Wheelhouse Advisors LLC
CFO Summit XVI - Wheelhouse Advisors LLCCFO Summit XVI - Wheelhouse Advisors LLC
CFO Summit XVI - Wheelhouse Advisors LLC
 
How to integrate the results of the Country Reports in the Semantic Wiki
How to integrate the results of the Country Reports in the Semantic WikiHow to integrate the results of the Country Reports in the Semantic Wiki
How to integrate the results of the Country Reports in the Semantic Wiki
 
Sc70
Sc70Sc70
Sc70
 
50 N 7th street
50 N 7th street50 N 7th street
50 N 7th street
 
Fontana Arte Wall Lamps
Fontana Arte Wall LampsFontana Arte Wall Lamps
Fontana Arte Wall Lamps
 
SMC030 #6 - Oxyme
SMC030 #6 - OxymeSMC030 #6 - Oxyme
SMC030 #6 - Oxyme
 
Inspiratieboek 2013
Inspiratieboek 2013Inspiratieboek 2013
Inspiratieboek 2013
 
10 mistake design
10 mistake design10 mistake design
10 mistake design
 
2010/10 - Database Architechs presentation
2010/10 - Database Architechs presentation2010/10 - Database Architechs presentation
2010/10 - Database Architechs presentation
 
Brochure kamerlingh onnesstraat 13 groningen
Brochure   kamerlingh onnesstraat 13 groningenBrochure   kamerlingh onnesstraat 13 groningen
Brochure kamerlingh onnesstraat 13 groningen
 
Aanleg Groendak 11.11.2010
Aanleg Groendak 11.11.2010Aanleg Groendak 11.11.2010
Aanleg Groendak 11.11.2010
 
Innovation china india_sep.07_a_panagariya
Innovation china india_sep.07_a_panagariyaInnovation china india_sep.07_a_panagariya
Innovation china india_sep.07_a_panagariya
 

Mehr von IBM India Smarter Computing

Using the IBM XIV Storage System in OpenStack Cloud Environments
Using the IBM XIV Storage System in OpenStack Cloud Environments Using the IBM XIV Storage System in OpenStack Cloud Environments
Using the IBM XIV Storage System in OpenStack Cloud Environments IBM India Smarter Computing
 
TSL03104USEN Exploring VMware vSphere Storage API for Array Integration on th...
TSL03104USEN Exploring VMware vSphere Storage API for Array Integration on th...TSL03104USEN Exploring VMware vSphere Storage API for Array Integration on th...
TSL03104USEN Exploring VMware vSphere Storage API for Array Integration on th...IBM India Smarter Computing
 
A Comparison of PowerVM and Vmware Virtualization Performance
A Comparison of PowerVM and Vmware Virtualization PerformanceA Comparison of PowerVM and Vmware Virtualization Performance
A Comparison of PowerVM and Vmware Virtualization PerformanceIBM India Smarter Computing
 
IBM pureflex system and vmware vcloud enterprise suite reference architecture
IBM pureflex system and vmware vcloud enterprise suite reference architectureIBM pureflex system and vmware vcloud enterprise suite reference architecture
IBM pureflex system and vmware vcloud enterprise suite reference architectureIBM India Smarter Computing
 

Mehr von IBM India Smarter Computing (20)

Using the IBM XIV Storage System in OpenStack Cloud Environments
Using the IBM XIV Storage System in OpenStack Cloud Environments Using the IBM XIV Storage System in OpenStack Cloud Environments
Using the IBM XIV Storage System in OpenStack Cloud Environments
 
All-flash Needs End to End Storage Efficiency
All-flash Needs End to End Storage EfficiencyAll-flash Needs End to End Storage Efficiency
All-flash Needs End to End Storage Efficiency
 
TSL03104USEN Exploring VMware vSphere Storage API for Array Integration on th...
TSL03104USEN Exploring VMware vSphere Storage API for Array Integration on th...TSL03104USEN Exploring VMware vSphere Storage API for Array Integration on th...
TSL03104USEN Exploring VMware vSphere Storage API for Array Integration on th...
 
IBM FlashSystem 840 Product Guide
IBM FlashSystem 840 Product GuideIBM FlashSystem 840 Product Guide
IBM FlashSystem 840 Product Guide
 
IBM System x3250 M5
IBM System x3250 M5IBM System x3250 M5
IBM System x3250 M5
 
IBM NeXtScale nx360 M4
IBM NeXtScale nx360 M4IBM NeXtScale nx360 M4
IBM NeXtScale nx360 M4
 
IBM System x3650 M4 HD
IBM System x3650 M4 HDIBM System x3650 M4 HD
IBM System x3650 M4 HD
 
IBM System x3300 M4
IBM System x3300 M4IBM System x3300 M4
IBM System x3300 M4
 
IBM System x iDataPlex dx360 M4
IBM System x iDataPlex dx360 M4IBM System x iDataPlex dx360 M4
IBM System x iDataPlex dx360 M4
 
IBM System x3500 M4
IBM System x3500 M4IBM System x3500 M4
IBM System x3500 M4
 
IBM System x3550 M4
IBM System x3550 M4IBM System x3550 M4
IBM System x3550 M4
 
IBM System x3650 M4
IBM System x3650 M4IBM System x3650 M4
IBM System x3650 M4
 
IBM System x3500 M3
IBM System x3500 M3IBM System x3500 M3
IBM System x3500 M3
 
IBM System x3400 M3
IBM System x3400 M3IBM System x3400 M3
IBM System x3400 M3
 
IBM System x3250 M3
IBM System x3250 M3IBM System x3250 M3
IBM System x3250 M3
 
IBM System x3200 M3
IBM System x3200 M3IBM System x3200 M3
IBM System x3200 M3
 
IBM PowerVC Introduction and Configuration
IBM PowerVC Introduction and ConfigurationIBM PowerVC Introduction and Configuration
IBM PowerVC Introduction and Configuration
 
A Comparison of PowerVM and Vmware Virtualization Performance
A Comparison of PowerVM and Vmware Virtualization PerformanceA Comparison of PowerVM and Vmware Virtualization Performance
A Comparison of PowerVM and Vmware Virtualization Performance
 
IBM pureflex system and vmware vcloud enterprise suite reference architecture
IBM pureflex system and vmware vcloud enterprise suite reference architectureIBM pureflex system and vmware vcloud enterprise suite reference architecture
IBM pureflex system and vmware vcloud enterprise suite reference architecture
 
X6: The sixth generation of EXA Technology
X6: The sixth generation of EXA TechnologyX6: The sixth generation of EXA Technology
X6: The sixth generation of EXA Technology
 

Kürzlich hochgeladen

Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 

Kürzlich hochgeladen (20)

Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 

Workload Optimized Systems IBM Shows the Way Again-Network Management

  • 1. Marketplace Update April 15, 2010 • Workload-Optimized Systems— IBM Shows the Way, Again By Charles King, Pund-IT, Inc. Pund-IT, Inc. Contact: Hayward, CA Office: 510-383-6767 U.S.A. 94541 Mobile: 510-909-0750 charles@pund-it.com www.pund-it.com
  • 2. Workload-Optimized Systems—IBM Shows the Way, Again By Charles King, Pund-IT, Inc. Introduction Over the past two years, the IT industry and market have focused increasing attention on workload-optimized computing systems—solutions which are designed for the require- ments and to enhance the performance of specific business applications and processes. A quick tour through recent IT press releases and news stories suggests that vendors of every stripe are planning, promoting and/or building workload-optimized solutions of some sort, and claiming that these solutions are the greatest thing since sliced cheese. An example: At the event celebrating the conclusion of the Sun Microsystems acquisition, Oracle executives cited workload optimization as a key factor in the deal and said that up- coming Oracle Exadata clusters (which were originally designed for HP hardware) leverag- ing Oracle’s software and Sun server and storage systems would blow away competing sys- tems, particularly those of the company’s nemesis, IBM. Unfortunately, advertisements in the Wall Street Journal and elsewhere confused the company’s claims by comparing new Exadata clusters to the IBM Power 595 systems that dominated industry tpmC benchmarks in 2008. At best, that’s the equivalent of the owner of a new America’s Cup contender boasting that his craft can beat past years’ winners while avoiding discussion of the ship he’s about to face-off against. At worst, it qualifies as an apples/oranges comparison that ignores the differences between cluster and integrated system technologies, along with software li- censing costs and other issues which inherently affect business value. In any case, while such pronouncements might provide entertaining fodder for discussion over a couple of beers they do little to help to organizations looking for assistance with critical IT chal- lenges. So is there any clear way to accurately judge the qualities of workload-optimized systems, along with the relative value of competing solutions? In a word, yes. As part of this discus- sion, we believe a look at the history of IBM’s workload-optimized system efforts and the company’s latest offerings can offer insight into the market as a whole. Workload Optimization – What Is It? Basically, a workload-optimized system is one designed and configured to provide optimal performance for specific business applications or processes. Sounds simple enough but while products like single-purpose servers might appear to qualify as workload-optimized, the term is typically reserved for systems that require significant integration to support highly complex applications. The IBM Smart Analytics Systems that debuted during the past year are good examples of true workload-optimized systems. Why have these technologies become such hot commodities? Because they are highly effi- cient solutions for critical business problems. The fact is that complexity infests virtually every acre of the enterprise IT landscape. Companies continue to rapidly deploy physical servers and/or consolidate multiple systems via virtualization. Storage growth and per- formance have for years outstripped the precepts of Moore’s Law. Networks shoulder data 2
  • 3. and throughput burdens today that would have squashed them a few years back. And all the while, organizations want to lower costs while heightening the returns on their IT in- vestments and information assets. Potential Benefits for Enterprise Customers Workload optimization is an effective approach to dealing with many of these issues, and many enterprises employ staff or system integrators with specialized skills to maximize IT performance. But as hardware, middleware and applications become ever more complex, so does the process of making them work together successfully. At the same time, eco- nomic challenges have led or forced many to examine the practical effects of IT CAPEX and OPEX on their organizations. The result? Organizations need and want help to: 1. Deploy IT solutions more quickly 2. Lower overall costs 3. Reduce risk In essence, businesses want vendors to make IT simple, make IT affordable and make IT work. There are some areas and processes where the potential return afforded by workload opti- mization is particularly notable: Transaction processing and database management lever- age ever more robust network and Internet performance, making them critical to virtually every enterprise. The same can be said of business process applications which scale to meet changing or increasing demands. Spurred by advances in data storage, digital ar- chives and records can and have become repositories of business value for able organiza- tions. Collaboration and Web-based processes are increasingly common organizational tools. Finally, business analytics helps organizations maximize the value of numerous in- formation and business investments. By applying their considerable knowledge and experience to fully optimize systems for spe- cific workloads and applications, vendors like IBM have created optimized solutions that dependably deliver higher levels of performance and are also easier and less expensive to acquire, set up and manage But Challenges for IT Vendors Despite these numerous benefits, developing successful workload-optimized systems is no easy thing. They require: • Technical and strategic skills that comes from years of training and practical experience • Highly integrated and tuned hardware components including microprocessors, servers, networking and storage • Scalable middleware platforms, particularly databases and related assets • Robust business applications and/or ISV partners • Deep knowledge of businesses/markets/processes aligned with specific industries • Significant, ongoing R&D investments Given these points, it is fairly simple to define the characteristics of products that claim but fail to be workload-optimized solutions. These include servers and/or clusters featuring lit- tle or nothing more than factory-loaded software, and those which require a high degree of traditional on-site integration and/or integration. 3
  • 4. Most importantly, successful workload optimization is not just a technological process but one that requires an intimate knowledge of industry and business practices. As a result, so- called workload-optimized products delivered by vendors with minimal expertise in target markets and those developed without the close collaboration of ISV partners experienced in specific vertical industries and business processes should be considered suspect. IBM’s Workload-Optimized Systems—Looking Back If experience is a crucial requirement for building successful workload-optimized systems, it would be difficult to find a more qualified vendor than IBM. In a sense, workload optimi- zation was simply a part of doing business at a time when systems were designed and built individually for specific clients. As a result, IBM has been developing such solutions since the 1950s, when the first Transaction Processing Facility (TPF) or Airline Control System (ALCS) was deployed. That was followed in the 1970-80s by IBM System 38 and AS/400 so- lutions designed for integrated application and data serving processes. In the 1990s, IBM ramped up workload-optimized application and data serving processes via IMS, CICS, and DB2 Sysplex technologies for the company’s flagship mainframes. The decade also witnessed the Deep Blue systems IBM developed to play championship-level chess. In February 1996, Deep Blue won a game against reigning world chess champion Garry Kasparov, a first for a computer of any kind, though Kasparov won the overall match. In a May 1997 six game rematch, Deep Blue beat Kasparov 3½ to 2½. In the 2000s, IBM implemented workload optimization across numerous commercial busi- ness applications. The company’s Web- and network-delivered solutions included Data- power (for XML- & Web-based service oriented architectures (SOA) and the IBM WebSphere Edge Server, which was designed for high-scale Web application serving. Workload optimi- zation was also a critical component of the company’s “Shark” enterprise storage solutions and the SAN Volume Controller for virtualized storage management. In 2008, the company introduced Cognos Now for operational business intelligence, highlighting the growing im- portance of the company’s Information Management strategy. In fact, it can be argued that workload optimization is deeply ingrained in IBM’s DNA, from the company’s research efforts from the physics of the microprocessor up through solution and service development. Even as customized scale-up systems were replaced by general purpose scale-out servers paired with increasingly complex software stacks, the company continued to create and provide its customers workload-optimized solutions, recognizing the fundamental, often unique value they provided to enterprises. The rush of attention these technologies currently enjoy indicates that other vendors have finally woken up to those benefits, and opportunities, too. Looking Ahead… IBM continues to leverage numerous acquired and internally-developed technologies to ad- dress the growing need for workload optimization. 2009 proved to be a particularly busy year for these efforts with the launch of the Lotus Foundations business collaboration suite, the DB2 pureScale on PowerHA for scalable database management and the Guardium solution database security management. The company also began utilizing workload opti- mization in strategic efforts, with solutions like IBM Cloudburst for cloud computing de- ployment and management and the Smart Analytics System 7600, a Power-based solution 4
  • 5. which triples the performance of business analytics and data warehousing processes while requiring 1/3 the floor space of competing products. This year, IBM is taking workload optimization to the next level. The new Smart Analytics System 5600 and 9600 respectively leverage the company’s System x (x64) and System z mainframe servers for maximally efficient business analytics. In addition, IBM’s new POW- ER7 processors and attendant servers leveraging PowerVM virtualization, Active Memory Expansion and related technologies should lend further punch to the company’s workload- optimized portfolio. The same is true for IBM’s new fifth generation Enterprise X Architec- ture (eX5) solutions, which leverage Intel’s latest Xeon 7500 chips. IBM also announced the pureScale Application System, which combines POWER7-based servers with WebSphere Application Server and DB2 pureScale software to handle heavy transactional workloads, such as those required by smart utility grids. Additionally, the company introduced a Partner Enablement program around workload optimization, which includes new solutions designed for sale by company business partners, and IBM Global Financing announced a related $500 million effort to encourage Sun Microsystems partners to become IBM resellers. Later in the year, IBM plans to introduce additional new workload-optimized systems. These include the Business Analytics Optimizer, a hybrid system featuring both IBM System z and BladeCenter technologies, and the InfoSphere Pack for improving customer insight via data modeling technologies and Cognos reporting tools, and the Information Archive (for information lifecycle management (ILM)) paired with the complementary IBM SONAS in- tegrated high-scale tiered storage solution. Bottom line—IBM has considerably more experience in workload optimization than any other vendor, offers the industry’s broadest portfolio of workload optimized systems and is forging ahead in the development of next-generation technologies solutions. Summary Conclusions The increasing focus on workload-optimized systems by both IT vendors and their custom- ers is entirely practical and eminently sensible: such systems can deliver higher perform- ance, lower set-up and management expenses, better ROI and TCO, and improved cus- tomer satisfaction. In short, workload optimization answers what businesses fundamentally want from vendors: To make IT simple, make IT affordable and make IT work. But confusing claims and rhetoric have clouded just what constitutes true workload optimi- zation. We believe these systems require proven expertise in hardware, middleware and ap- plication integration, years of significant investments, continuing R&D commitments and deep knowledge of businesses, markets and processes in specific industries. What work- load-optimized systems are not are simple servers with factory-loaded software or products delivered by vendors with little experience or expertise in the industries they target. IBM’s workload optimization efforts began with the company’s first Transaction Processing Facility (TPF) or Airline Control System (ALCS). Since then, IBM has built a wide variety of systems, from IMS, CICS, and DB2 Sysplex technologies for mainframes to 2009’s IBM Cloudburst for cloud computing and the Smart Analytics System 7600 whose performance is designed to meet specific customer requirements. While workload optimization has been 5
  • 6. an essential part of IBM’s DNA for decades, other vendors finally appear to be waking up to its benefits, too. This year, IBM is taking workload optimization to the next level with the new Smart Ana- lytics System 5600 (System x) and 9600 (System z), and the pureScale Application System. IBM plans to introduce additional new workload-optimized systems later in 2010, including the Business Analytics Optimizer, the InfoSphere Pack and the Information Archive with complementary IBM SONAS storage systems. Bottom line—IBM has considerably more experience in workload optimization than any other vendor, offers workload-optimized solutions addressing a broad range of enterprise business and computing challenges and is working hard on next-generation workload- optimized systems and technologies. Enterprises considering the potential value that these offerings might offer their organizations are well-advised to investigate IBM’s current and upcoming workload-optimized systems. © 2010 Pund-IT, Inc. All rights reserved. About Pund-IT, Inc. Pund-IT emphasizes understanding technology and product evolution and interpreting the effects these changes will have on business customers and the greater IT marketplace. 6