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C9020-568 - IBM Enterprise Storage Technical Support V5 - Dump Information

Vendor Name : IBM
Exam Code : C9020-568
Exam Name : IBM Enterprise Storage Technical Support V5
Questions and Answers : 60 Q & A
Updated On : January 18, 2019
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IBM C9020-568 Exam (IBM Enterprise Storage Technical Support V5) Detailed Information

C9020-568 Test Information / Examination Information


Number of questions : 60
Time allowed in minutes: 90
Required passing score : 62%
Languages : English


C9020-568 Objectives


C9020-568 Questions and Answers

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C9020-568 IBM Enterprise Storage Technical Support V5

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C9020-568 exam Dumps Source : IBM Enterprise Storage Technical Support V5

Test Code : C9020-568
Test Name : IBM Enterprise Storage Technical Support V5
Vendor Name : IBM
Q&A : 60 Real Questions

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IBM IBM Enterprise Storage Technical

IBM SpectrumAI Brings Scalable Storage To Deep researching | killexams.com Real Questions and Pass4sure dumps

AI and deep discovering are invading the business. NVIDIA organisation is in the course of an extraordinary run, delivering targeted technology and items that allow groups to be trained from their statistics. These learnings can result in aggressive insights, recognizing new trends, fueling handle systems for intelligent infrastructure, or with no trouble presenting predictive capabilities to more advantageous control the enterprise. The challenge in deploying these systems is one in every of stability. Storage in the datacenter has advanced to provider the wants of mainstream business purposes, now not highly-parallel deep researching programs.

The constancy and effectivity of desktop learning is tremendously dependent on providing statistics to the getting to know pipelines with excessive-throughput and low-latency. past with no trouble feeding the compute engines, common device throughput is impacted through the efficiency of ingesting facts from its source, in addition to archiving records as soon as it has served its practicing applications. This becomes very true at scale, the place large quantities of facts feed large numbers of processing engines. high volumes of facts need to be ingested and cleaned. genuine machine studying is all about excessive-throughput, low-latency, small block random I/O. models are archived to cloud or tape, using the need for prime degrees of scalability on the returned-conclusion.

Scale is the place IBM agency shines the brightest. It become no shock this week when IBM introduced its incredibly scalable IBM Spectrum AI with NVIDIA DGX solution to resolve the complications of storing and serving records for AI-driven analytics and desktop studying.

IBM SpectrumAI with NVIDIA DGX

IBM Spectrum AI with NVIDIA DGX seeks to solve the issues inherent in storing and serving statistics within the AI-driven machine researching environment. It goals to clear up those problems at scale. It also guarantees to seamlessly combine into an enterprise workflow, leveraging its pervasive IBM Spectrum Storage suite of choices.

the new providing is a reference architecture that mixes NVIDIA DGX servers with a brand new AI-tuned storage stack from IBM. IBM’s AI storage stack combines IBM Spectrum Scale v5 application-defined storage with a new NVMe all-flash storage solution, all while enabling full integration into the area of IBM’s Spectrum Storage suite of products. Tying all of it collectively is an InfiniBand community powered by means of Mellanox know-how.

at the coronary heart of IBM’s price-add is the up to date Spectrum Scale v5 utility-defined storage solution. The Spectrum Scale v5 is architected certainly for AI workloads. training fashions for desktop researching require highly productive metadata entry, small file access, and performant small-block random I/O performance. here's what IBM Spectrum Scale v5 is developed to deliver.

IBM’s application-defined composable storage strategy makes a lot of experience for enterprises seeking to expand an AI skill over time. organizations can install the solution with a single equipment and seamlessly scale-out as increase is needed. the flexibility additionally makes it possible for IBM’s companions to carry solutions which are the right dimension for the end client’s needs.

keeping with IBM’s enterprise and complete solution focal point, IBM Spectrum AI seamlessly integrates with the relaxation of the IBM storage portfolio. This brings the powerful ability to integrate AI and computing device researching into latest storage workflows, as much as and together with archiving to cloud or tape.

Supplementing the up to date Spectrum Scale utility is a new NVMe all-flash storage solution. the brand new storage container guarantees to bring over 300TB in every 2U constructing block, with 120GB/s of information throughput in a common rack configuration.

Scalability is on the heart of IBM’s value proposition. it is able to support as much as 9 NVIDIA DGX-1 servers and 3 2U NVMe flash storage arrays in a single rack. The performance numbers that IBM shared on the announcement had been fantastic, showing linear scalability and accurate-tier efficiency for methods with excessive numbers of GPUs.

efficiency

IBM SpectrumAI with NVIDIA DGX is constructed for scalable performance. the brand new NVMe all-flash storage in SpectrumAI can convey throughput of 120GB/s in a rack, with over 30GB/s sustained throughput from each 2U storage array.

greater awesome than raw array performance is the scaling curve it really is achievable with IBM’s Spectrum Scale software. IBM demonstrates near linear efficiency scalability while feeding as much as seventy two GPUs in a single rack. This scalability is at once attributed to the power of the AI-focused tuning that IBM put into its Spectrum Scale v5.

IBM confirmed performance numbers that in shape IBM’s Spectrum AI with NVIDIA DGX against in a similar fashion architected converged options also developed round NVIDIA DGX. i will’t submit the actual numbers that IBM shared with the analyst community for its ResNet working towards benchmarks. i'll say that no posted benchmark numbers beat what IBM claims above eight GPUs for Resnet-151 and ResNet-50, and IBM sits nearly by myself above 32 GPUs on each benchmarks.

comparing the effects published so far for converged NVIDIA DGX solutions offers IBM a significant performance advantage in face to face proven records throughput results. whereas these numbers deserve to be validated by using true-world trying out on launched hardware, if it’s anywhere close to accurate then IBM will continue its brilliant run of offering right-tier storage at scale.

i love that IBM is unafraid of providing a efficiency assessment. IBM additionally takes scalability one step extra than its competition with its exciting application-defined storage approach. IBM’s solution is extremely competitive on the entry and mid-level tiers, and appears as if it's going to dominate performance numbers

The competition

IBM SpectrumAI with NVIDIA DGX marks NVIDIA’s public fourth collaboration with a storage supplier to deliver an AI and computer getting to know reference structure. Three of these collaborations are focused on the enterprise and industrial AI and desktop studying market.

Pure Storage became the first to collaborate with NVIDIA. The Pure Storage AIRI set the stage for what is viable when it involves combining high-performance storage with NVIDIA DGX servers. Marrying Pure’s FlashBlade technology with NVIDIA servers, Pure delivered new know-how focused at once at fixing the considerations intrinsic in AI and researching workloads. I definitely like what Pure did with both AIRI and FlashBlade.

less fascinating is NVIDIA’s collaboration with NetApp . whereas NVIDIA brings stellar compute capabilities to the relationship, it looks that NetApp is effortlessly bundling its current A800 all-flash array into a equipment with NVIDIA’s DGX-1 and a 100GB ethernet swap from Cisco, and branding the equipment ONTAP AI. The answer can be first-class to carrier the wants of NetApp’s current put in base, but it surely’s no longer a differentiated answer.

IBM’s SpectrumAI is differentiated from both the NetApp and Pure Storage offerings. IBM SpectrumAI gives a stage of scalability this is virtually unmatched with the aid of any one within the business. It’s both enormously fast at scale, and it scales linearly.

beyond raw efficiency, i love that IBM is bringing its commercial enterprise legacy to enable AI within the datacenter. The means for IBM SpectrumAI to seamlessly combine with the relaxation of the Spectrum Storage suite may still make IBM’s solution a simple resolution for commercial enterprise buyers.

i like competition. It drives our trade ahead and forces innovation. IBM has an outstanding offering with Spectrum AI—one which raises the bar.

Concluding ideas

past presenting just yet another indicator of NVIDIA’s close total domination of the AI and computer researching house, IBM’s announcement brings each further credibility to AI in the commercial enterprise, and an answer it really is developed to integrate with the equipment organisations are already relying upon.

enterprise it's stressful targeted solutions for AI and machine gaining knowledge of. There isn't any seller extra involved with the needs of business computing than IBM. IBM offering this bundle to market offers further validation that laptop getting to know, and machine researching at scale, is a extremely true trend for commercial enterprise patrons. It’s a fashion we should still all watch.

the realm of AI and machine discovering in the commercial enterprise is in its early days. The business remains finding out the correct solution to make the most the unbelievable capabilities that are promised by means of the expertise. Balancing storage and compute is an important a part of how this world will evolve.

IBM is offering whatever to be trained from with IBM SpectrumAI with NVIDIA DGX. i will’t wait to get my hands dirty and play with this beast.

Disclosure: My firm, Moor Insights & method, like several research and analyst businesses, gives or has provided research, analysis, advising, and/or consulting to many excessive-tech businesses in the business, including IBM, NVIDIA, NetApp, and Pure Storage, which could be cited listed here. I do not cling any fairness positions with any organizations noted during this column.


IBM and Nvidia in AI facts Pipeline, Processing, Storage Union | killexams.com Real Questions and Pass4sure dumps

IBM and Nvidia nowadays introduced a brand new turnkey AI solution that mixes IBM Spectrum Scale scale-out file storage with Nvidia’s GPU-based DGX-1 AI server to deliver what the corporations call “the optimum performance in any proven converged equipment” whereas aiding statistics science practices and AI information pipelines (statistics prep- training- inference- archive) wherein records volumes always develop.

referred to as IBM SpectrumAI with Nvidia DGX, the all-flash offering is designed to be an AI statistics infrastructure and is configurable from a single IBM Elastic Storage Server, to a rack of nine Nvidia DGX-1 servers with seventy two Nvidia V100 Tensor Core GPUs, up to multi-rack configurations. IBM stated Spectrum storage scales “essentially linearly,” with random read information throughput requirements to feed numerous GPUs. The system has confirmed 120GB/s of records throughput in a rack, based on IBM.

As with other AI multi-dealer partnerships involving Nvidia, the providing is constructed to tackle initiatives that would in any other case require facts scientists.

“the important thing factor is we’re getting rid of the impediments to getting AI to be an automatic process,” Eric Herzog, VP, Product advertising and management, IBM Storage programs, instructed EnterpriseTech.

IBM SpectrumAI with Nvidia DGX

He observed the reference structure for SpectrumAI with Nvidia DGX encompasses IBM Spectrum Scale, for top performance statistics ingest; Spectrum find, to make statistics purchasable via statistics cataloguing and indexing within an unstructured ambiance; and an API and application that re-makes use of the workflows created with the aid of Spectrum discover. “you could use the workflows over and over once more,” Herzog pointed out, “minimizing the time the data scientists spend on records prep – it’s computerized.”

SpectrumAI gives features throughout diverse storage decisions, together with AWS. The Spectrum Scale parallel file system can share statistics with IBM Cloud Object Storage and tape with shared metadata services offered by means of Spectrum discover.

Herzog referred to Spectrum Scale has the ability to assist increasing, data-hungry AI implementations at scale.

“It’s critical that it's in a position to develop,” he observed. “IBM Spectrum Scale and IBM Cloud Object Storage have, in creation nowadays, installations of greater than an exabyte. And both of them can scale to multi-exabyte configurations. definitely, this reference structure its spec’ed as much as a capability of eight exabytes – not counting the archive facet, just counting the basic storage facet. So it allows you to create giants sets necessary for AI. AI is mimicking what we do from a human perspective and enable this large volume of information to be absorbed.”

constructed particularly for AI implementations, DGX-1 servers include eight Tesla V100 GPUs and deliver a petaFLOPS of throughput, with 256 GB of gadget memory, according to Nvidia. The DGX software stack is designed for GPU-accelerated working towards, including the RAPIDS framework. Nvidia noted adoption of recent AI frameworks is simplified through the container mannequin supported through the Nvidia NGC container repository of functions.

these days’s announcement provides to the variety of most important server, analytics and storage companies that have aligned their AI go-to-market strategies with Nvidia DGX know-how. In October, high efficiency storage enterprise DDN announced a group of solutions that combine the A3I (Accelerated, Any-Scale AI) platform with Nvidia DGX-1 AI servers in a pre-configured answer. akin to the IBM-Nvidia offering, the DDN-Nvidia answer is made from three reference architectures, starting at a single DGX-1 with a single storage container and scaling as much as a "DGX-1 Pod" with nine DGX-1s. In August, Dell EMC launched equipped solutions for AI, a technology stack including AI frameworks and libraries, compute, networking, storage and deployment functions constructed round Dell EMC PowerEdge servers. additionally in August, NetApp introduced a DGX-based AI platform referred to as NetApp Ontap AI, that mixes NetApp’s hybrid cloud facts features, AFF A800 cloud-related all-flash storage and NetApp statistics cloth, an information management expertise that helps an edge-core-cloud data pipeline.

“IBM's method is to make AI/ML/DL greater accessible and greater performant,” talked about Ashish Nadkarni, neighborhood VP, infrastructure methods, structures and applied sciences, at business watcher IDC. “IBM SpectrumAI with Nvidia DGX is designed to supply a validated and supported platform. for those that are deciding upon Nvidia DGX servers for the open source frameworks and excessive-throughput GPU platforms, IBM Spectrum Scale can add intelligent, scalable, secured, metadata-rich, cloud-built-in, multiprotocol, high performing, and effective storage in an easy to set up solution from their precise tier enterprise companions.”

Herzog talked about the providing will be bought strictly via an IBM and Nvidia reseller channel constituted of five corporations and which Herzog talked about will extend next 12 months.

IBM-Nvidia AI statistics pipeline

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C9020-568 IBM Enterprise Storage Technical Support V5

Study Guide Prepared by Killexams.com IBM Dumps Experts


Killexams.com C9020-568 Dumps and Real Questions

100% Real Questions - Exam Pass Guarantee with High Marks - Just Memorize the Answers



C9020-568 exam Dumps Source : IBM Enterprise Storage Technical Support V5

Test Code : C9020-568
Test Name : IBM Enterprise Storage Technical Support V5
Vendor Name : IBM
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IBM Enterprise Storage Technical Support V5

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IBM SpectrumAI Brings Scalable Storage To Deep Learning | killexams.com real questions and Pass4sure dumps

AI and deep learning are invading the enterprise. NVIDIA Corporation is in the midst of an unprecedented run, delivering targeted technology and products that enable companies to learn from their data. These learnings can lead to competitive insights, recognizing new trends, fueling control systems for intelligent infrastructure, or simply providing predictive capabilities to better manage the business. The challenge in deploying these systems is one of balance. Storage in the datacenter has evolved to service the needs of mainstream business applications, not highly-parallel deep learning systems.

The fidelity and efficiency of machine learning is highly dependent on delivering data to the learning pipelines with high-throughput and low-latency. Beyond simply feeding the compute engines, overall system throughput is impacted by the efficiency of ingesting data from its source, as well as archiving data once it has served its training purposes. This becomes especially true at scale, where large amounts of data feed large numbers of processing engines. High volumes of data need to be ingested and cleaned. Actual machine learning is all about high-throughput, low-latency, small block random I/O. Models are archived to cloud or tape, driving the need for high degrees of scalability on the back-end.

Scale is where IBM Corporation shines the brightest. It was no surprise this week when IBM announced its highly scalable IBM Spectrum AI with NVIDIA DGX solution to solve the problems of storing and serving data for AI-driven analytics and machine learning.

IBM SpectrumAI with NVIDIA DGX

IBM Spectrum AI with NVIDIA DGX seeks to solve the problems inherent in storing and serving data in the AI-driven machine learning environment. It aims to solve those problems at scale. It also promises to seamlessly integrate into an enterprise workflow, leveraging its pervasive IBM Spectrum Storage suite of offerings.

The new offering is a reference architecture that combines NVIDIA DGX servers with a new AI-tuned storage stack from IBM. IBM’s AI storage stack combines IBM Spectrum Scale v5 software-defined storage with a new NVMe all-flash storage solution, all while allowing full integration into the world of IBM’s Spectrum Storage suite of products. Tying it all together is an InfiniBand network powered by Mellanox Technology.

At the heart of IBM’s value-add is the updated Spectrum Scale v5 software-defined storage solution. The Spectrum Scale v5 is architected specifically for AI workloads. Training models for machine learning require highly efficient metadata access, small file access, and performant small-block random I/O performance. This is what IBM Spectrum Scale v5 is built to deliver.

IBM’s software-defined composable storage approach makes a lot of sense for enterprises looking to expand an AI capability over time. Organizations can deploy the solution with a single system and seamlessly scale-out as growth is needed. The flexibility also allows IBM’s partners to deliver solutions that are the right size for the end customer’s needs.

Keeping with IBM’s enterprise and total solution focus, IBM Spectrum AI seamlessly integrates with the rest of the IBM storage portfolio. This brings the powerful ability to integrate AI and machine learning into existing storage workflows, up to and including archiving to cloud or tape.

Supplementing the updated Spectrum Scale software is a new NVMe all-flash storage solution. The new storage box promises to deliver over 300TB in every 2U building block, with 120GB/s of data throughput in a standard rack configuration.

Scalability is at the heart of IBM’s value proposition. It is able to support up to 9 NVIDIA DGX-1 servers and 3 2U NVMe flash storage arrays in a single rack. The performance numbers that IBM shared at the announcement were impressive, showing linear scalability and top-tier performance for systems with high numbers of GPUs.

Performance

IBM SpectrumAI with NVIDIA DGX is built for scalable performance. The new NVMe all-flash storage in SpectrumAI can deliver throughput of 120GB/s in a rack, with over 30GB/s sustained throughput from each 2U storage array.

More impressive than raw array performance is the scaling curve that is achievable with IBM’s Spectrum Scale software. IBM demonstrates near linear performance scalability while feeding up to 72 GPUs in a single rack. This scalability is directly attributed to the power of the AI-focused tuning that IBM put into its Spectrum Scale v5.

IBM showed performance numbers that match IBM’s Spectrum AI with NVIDIA DGX against similarly architected converged solutions also built around NVIDIA DGX. I can’t publish the actual numbers that IBM shared with the analyst community for its ResNet training benchmarks. I will say that no published benchmark numbers beat what IBM claims above 8 GPUs for Resnet-151 and ResNet-50, and IBM sits nearly alone above 32 GPUs on both benchmarks.

Comparing the results published to date for converged NVIDIA DGX solutions gives IBM a serious performance advantage in head to head tested data throughput results. While these numbers need to be validated by real-world testing on released hardware, if it’s anywhere close to accurate then IBM will continue its impressive run of delivering top-tier storage at scale.

I like that IBM is unafraid of providing a performance comparison. IBM also takes scalability one step further than its competition with its unique software-defined storage approach. IBM’s solution is extremely competitive at the entry and mid-level tiers, and looks as if it will dominate performance numbers

The competition

IBM SpectrumAI with NVIDIA DGX marks NVIDIA’s public fourth collaboration with a storage vendor to deliver an AI and machine learning reference architecture. Three of those collaborations are targeted at the enterprise and commercial AI and machine learning market.

Pure Storage was the first to collaborate with NVIDIA. The Pure Storage AIRI set the stage for what is possible when it comes to combining high-performance storage with NVIDIA DGX servers. Marrying Pure’s FlashBlade technology with NVIDIA servers, Pure delivered new technology targeted directly at solving the issues intrinsic in AI and learning workloads. I really like what Pure did with both AIRI and FlashBlade.

Less attractive is NVIDIA’s collaboration with NetApp . While NVIDIA brings stellar compute capabilities to the relationship, it seems that NetApp is simply bundling its existing A800 all-flash array into a package with NVIDIA’s DGX-1 and a 100GB ethernet switch from Cisco, and branding the package ONTAP AI. The solution might be fine to service the needs of NetApp’s existing installed base, but it’s not a differentiated solution.

IBM’s SpectrumAI is differentiated from both the NetApp and Pure Storage offerings. IBM SpectrumAI provides a level of scalability that is nearly unmatched by anyone in the industry. It’s both incredibly fast at scale, and it scales linearly.

Beyond raw performance, I like that IBM is bringing its enterprise legacy to enable AI in the datacenter. The ability for IBM SpectrumAI to seamlessly integrate with the rest of the Spectrum Storage suite should make IBM’s solution an easy decision for enterprise buyers.

I love competition. It drives our industry forward and forces innovation. IBM has a great offering with Spectrum AI—one that raises the bar.

Concluding thoughts

Beyond providing just another indicator of NVIDIA’s near total domination of the AI and machine learning space, IBM’s announcement brings both additional credibility to AI in the enterprise, and a solution that is built to integrate with the tools enterprises are already relying upon.

Enterprise IT is demanding targeted solutions for AI and machine learning. There is no vendor more in touch with the needs of enterprise computing than IBM. IBM delivering this bundle to market provides further validation that machine learning, and machine learning at scale, is a very real trend for enterprise buyers. It’s a trend we should all watch.

The world of AI and machine learning in the enterprise is in its early days. The industry is still figuring out the right way to exploit the amazing capabilities that are promised by the technology. Balancing storage and compute is a huge part of how this world will evolve.

IBM is delivering something to learn from with IBM SpectrumAI with NVIDIA DGX. I can’t wait to get my hands dirty and play with this beast.

Disclosure: My firm, Moor Insights & Strategy, like all research and analyst firms, provides or has provided research, analysis, advising, and/or consulting to many high-tech companies in the industry, including IBM, NVIDIA, NetApp, and Pure Storage, which may be cited in this article. I do not hold any equity positions with any companies cited in this column.


Mirapoint RazorSafe 7000 Archiving Appliance: Enterprise-Storage Simplicity, Scalability, Flexibility | killexams.com real questions and Pass4sure dumps

SOURCE: Mirapoint

Mirapoint

May 24, 2010 12:30 ET

Now With NAS, SAN Support for Set-It-and-Forget-It Large-Enterprise Storage

SUNNYVALE, CA--(Marketwire - May 24, 2010) -  Mirapoint®, the secure enterprise-messaging experts, today announced the release of its flagship email archiving appliance: the RazorSafe 7000, which provides unshakeable storage to small-to-large enterprises and service providers without the cost and complexity of software solutions or the unreliability and privacy issues of hosted solutions.

RazorSafe 7000 ships with upgraded AOS v5.0 software that offers a unique and proprietary high-performance SmartCache architecture, utilizing scalable NAS or SAN fiber-channel storage while maintaining performance of local disk storage. Other AOS 5.0 features include service provider support and high-performance searching, data aging, and disaster recovery.

"RazorSafe 7000 is a no-brainer decision for enterprises concerned about long-term data security," said Jeff Witous, CEO of Mirapoint. "The addition of SAN capability allows for nearly endless archiving or eDiscovery compliance at the lowest cost. Service providers choose Mirapoint, which is the best reference an email product can have."

Mirapoint has had the lowest TCO in the marketplace for the three years it has built archiving units. Its purchase of Intradyn and the subsequent technology additions makes RazorSafe 7000 twice the product of its competitors, while simultaneously sporting the industry's best storage-to-price-performance ratio.

"RazorSafe is half the price, is done instantly and the amount of staff time is kept to a minimum. This makes it a very easy solution to a difficult problem," said customer Tim Wilson, Associate Director, Informatics for City and Hackney Primary Care Trust.

How it Works Like its Mirapoint predecessors, RazorSafe 7000 uses open standards (IMAP / POP / SMTP) to archive email from all popular email-server products, including: Microsoft Exchange, IBM Domino, Novell GroupWise, Mirapoint Message Server, and open-source MTAs and mailstores.

Working transparently in the background, RazorSafe does not interrupt the SMTP path, and therefore never slows or interferes with incoming mail. Its open, standards-based architecture allows the RazorSafe family of products to interface with any standards-based mail server.

"Our customers typically don't want to spend the IT resources required for server/software/patch-based archiving, and they're leery of the cloud both on an eDiscovery and gut level. In the end, Mirapoint appliances are unique in that they span nearly all customer segments and verticals, and are the only solution that can," said Jenko Hwong, Director of Product Management for Mirapoint.

About MirapointMirapoint Software fulfills the secure-messaging needs of enterprises, service providers, and educational institutions, with more than 120 million mailboxes served and secured worldwide. The market leader in appliance-based solutions, Mirapoint's appliances -- Message Server for email, RazorSafe for archiving, and RazorGate for anti-spam/anti-virus -- provide unparalleled uptime, ease of use, and low total cost of ownership for organizations that serve anywhere from 100 to hundreds of thousands of email users and mailboxes. Founded in 1997, Mirapoint is headquartered in Sunnyvale, California, with offices throughout North America, Europe and Asia. For more information on Mirapoint, visit its Web site at www.mirapoint.com.


IBM pSeries server trends and developments | killexams.com real questions and Pass4sure dumps

Wondering what are the new trends and developments in IBM POWER land? Perhaps you first want to know if and why you should care. IBM has secured the top spot in a $17 billion Unix server market with 31.8% of the share, compared to Hewlett-Packard's 29.8% and Sun's 26.2%, according to IDT. Clearly IBM has released the right technology at the right time.

If you are not already an IBM business partner, you may want to sign up. If you are considering the move, you must hone your skills, bring greater value to your customers and stay abreast of new IBM developments, which I'll outline in this tip.

Hardware

IBM introduced its POWER5+ chip on top-of-the-line models in September, which brings a much needed MHz boost to their enterprise systems. The p5+ 590 is now 2.1 GHz, while the p5+ 595 can be purchased at either 2.1 GHz or a flaming 2.3 GHz.

AIX

In 2006 and beyond only two AIX 5L technology levels (TL), formally referred to as maintenance levels, will be shipped each year, planned for February and August. Clients can get interim fixes (IF) to address specific problems without having to immediately apply the latest TL.

AIX 5.3 TL 5 enhancements

  • security
  • AIXpert enterprise security tool
  • cryptographic coprocessor
  • Windows Active Directory Support
  • topas support for multiple LPARs and –C historical reporting
  • multibios – alternate disk install to the same disk
  • JFS2 file system rollback
  • NFSv4 grace period support
  • fcstat diagnostic command to help manage Fibre Channel devices
  • networking enhancements
  • Tivoli integration
  • NIM and install enhancements
  • Advanced Power Virtualization's Virtual I/O

    Virtual I/O (VIO), one feature of Advanced Power Virtualization (APV), allows you to virtualize NICs or storage. Enhancements in the VIO 1.3 release include:

  • Support for iSCSI TOE adapter and virtual devices
  • Support for SCSI reserve/release for limited configurations
  • Support on the VIO client for a changeable queue depth attribute for virtual disks
  • Improvements for altering virtual device capacity without disruption
  • Configurable attribute allowing for improved VIOS health and expedited path failover processing
  • Performance improvements for CPU intensive applications
  • The iSCSI support is long overdue and the expedited path failover should be a big help to many that have asked for these improvements.

    Integrated Virtualization Manager

    Integrated Virtualization Manager (IVM) is an important utility that enables partition management without hardware management consoles (HMC). It's particularly valuable to small and medium-sized business (SMB) customers who have purchased low-end systems and formally had to spend over $5,000 for a dedicated hardware console. IVM is included at no cost with the purchase of APV on either System p or the BladeCenter JS21.

    System Planning Tool

    IBM's System Planning Tool is a free download and next generation of the IBM LPAR Validation Tool (LVT). An important new feature is that system plans generated by SPT can be deployed on the system by the HMC. The SPT is available to assist the user in system planning, design, validation and also to provide a system validation report that reflects the user's system requirements without exceeding system recommendations. The SPT is a PC-based browser application designed to be run in a standalone environment. The first release is a little slow and it may take a few attempts to install before it works, but its well worth the effort.

    High availability

    HACMP 5.4 is out and it rocks. Here's a list of new features:

  • Non-disruptive start-up: You do not need to take the application down when installing high availability cluster multiprocessing (HACMP). I'm not sure this is something I'd recommend in production, but it can be useful when you have to take down HACMP for an upgrade or patch and cannot take down the application because of a service level agreement (SLA).
  • Fast failure detection: HA will now detect a node failure before a topsvc timeout.
  • Smart assist restructure: There are now smart assists for DB2, Oracle and WebSphere, and a two-node assist to create a cluster.
  • WebSMIT is now easier to configure and it even provides a GUI.
  • Reintroduction of forced stop: This feature will help avoid resource conflicts by putting resource groups into an unmanaged state.
  • Linux support: Yes, HACMP 5.4 works on Linux and we even installed it successfully at IBM Tech University. How cool!
  • What does all this mean for you as an IBM Business Partner? It shows IBM's commitment to its technology. They are not just resting on their laurels, having overtaken Sun in Unix market share, but are constantly looking to better technology and support. This includes the hardware, systems software, high availability software and virtualization capabilities.

    As a business partner you must stay abreast of all new developments so you can clearly show the customer the added value that you can provide to them. In today's world, it's not enough to just get the customer the cheapest price on a box; you must understand the technology and be able to clearly articulate how it will work to all customer levels -- from the CIO to the Unix manager to the Unix systems administrator.

    About the author: Kenneth Milberg is a systems consultant with his own independent consulting firm, Unix-Linux Solutions. He has 15 years of experience with Unix and Linux systems, as well as broad technical and functional experience with AIX, HP, SCO, Linux and Solaris. Milberg holds certifications with IBM (IBM Certified Systems Expert -- eServer p5 and pSeries Enterprise Technical Support AIX 5L V5.3 & IBM Certified Specialist –HACMP), SUN (SCNA,SCSA), HP (HP Certified –HP-UX administration) Cisco (CCNA) and Oracle (OCP-DBO).



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