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000-385 - High End Tape Solutions, Version 3 - Dump Information

Vendor : IBM
Exam Code : 000-385
Exam Name : High End Tape Solutions, Version 3
Questions and Answers : 161 Q & A
Updated On : December 7, 2018
PDF Download Mirror : 000-385 Brain Dump
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000-385 High End Tape Solutions, Version 3

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000-385 exam Dumps Source : High End Tape Solutions, Version 3

Test Code : 000-385
Test Name : High End Tape Solutions, Version 3
Vendor Name : IBM
Q&A : 161 Real Questions

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IBM IBM High End Tape

IBM ratings an extra Lab Win With 'Sierra' going online At Lawrence Livermore country wide Labs | killexams.com Real Questions and Pass4sure dumps

With its Power9 technology, IBM has been on a roll within the HPC phase. We’ve been overlaying these efforts extensively at Moor Insights & approach, from IBM’s partnership with Google and the branch of energy to Power9 powering the Summit supercomputer . Now IBM has introduced another lab announcement with “ Sierra ,” a joint supercomputer venture with the U.S. department of energy’s country wide Nuclear safety Administration (NNSA) and the Lawrence Livermore country wide Lab (LLNL). Let’s take a closer seem.

The details

Sierra is being hailed because the sister device to the IBM POWER9-based “Summit,” and it replaces the previous “Sequoia” supercomputer (which simplest makes use of CPUs). Sierra is currently ranked because the third-quickest supercomputer in the world, and it turned into introduced final week that the equipment is now operational and in the last testing before “acceptance.” Acceptance is a term used by the U.S. govt asserting to IBM “you delivered what we asked and paid for.” it will serve the NNSA’s three nuclear protection laboratories, which, in addition to LLNL, include Sandia countrywide Laboratories and Los Alamos national Laboratory.

IBM says this computing device is about 1 million times greater potent than a excessive-end computer and developed from the floor up (like Summit) for ordinary HPC and future AI purposes. Its footprint spans 7,000 square toes, and it is made of four,320 nodes on 240 computing racks. every node of the supercomputer includes two IBM POWER9 CPUs and 4 NVIDIA V100 GPUs, making Sierra the NNSA’s first significant-scale production heterogenous system. It claims an dazzling peak efficiency of a hundred twenty five PetaFLOPS, or 125 quadrillion floating-factor operations per second. This places it leaps and bounds ahead of Sequoia’s performance—probably 6-10 instances more potent should you factor in its proper AI efficiency.

moreover, Sierra is backed by way of 154 petabytes of IBM Spectrum Scale storage, spread throughout 24 racks of Elastic Storage Servers. based on LLNL, the system promises 1.fifty four terabytes per 2d (in both read and write bandwidth) efficiency and is capable of managing an extraordinary a hundred billion files per every file gadget. The Spectrum Scale permits the system to meet scaling demands.

LLNL partnered intently with IBM and NVIDIA not best on the hardware but the software stack and helped optimize the heterogeneous gadget’s efficiency through prep work on purposes and establishing optimized code. LLNL has additionally purportedly been working carefully with the o.k.Ridge country wide Laboratory, where the Summit supercomputer is housed, which makes feel and completely satisfied to peer because the price range all comes from U.S. taxpayers.

functions

Sierra could be put to use against countrywide protection—NNSA’s Stockpile Stewardship software, ongoing existence extension programs, weapons science, and nuclear deterrence. All this is code for performing nuclear and nuclear protection simulations, eliminating the should look at various nuclear bombs in the center of the desert or underground. It’s crucial to notice that that Sierra will even be put to use for other scientific analysis benefitting society. The LLNL says Sierra might be utilized in tasks akin to cancer drug analysis, precision drugs, seismology, local weather, astrophysics, materials science, and greater.  This makes perfect experience as Sierra is the third quickest supercomputer on this planet involving classic HPC efficiency.

Why this concerns

I applaud IBM for not abandoning its nation’s defense in its time of need like different technology groups have. I find it ironic that Google, who advantages from the freedoms the U.S. military has offered it, is stepping faraway from helping our nation’s protection and its citizens.

All in all, here is one more solid HPC operational win for IBM’s POWER9. I have called the POWER9 architecture the “Swiss military knife” of acceleration and as it is the most appropriate compute acceleration platform with support for five other ways to speed up, even in a reminiscence coherent manner. For some purposes, coherency is vital because it makes the accelerator (GPU, FPGA, ASIC, and so forth) an equal citizen for memory entry, which simplifies application building and minimizes latency. This may still imply quicker efficiency and faster app time-to-market.

Financially, here is a win, too.  collectively, the deal IBM reduce with the DOE turned into value over $300 million—a bunch that IBM says contributed to IBM’s Cognitive programs 17% Q3 profits growth this yr.

in addition to the financials, it’s additionally simply wonderful optics for its POWER9-based mostly commercial enterprise line. IBM is using this equal AI-optimized architecture in Sierra in its company product line, the usage of the IBM AC 922 POWER9-based mostly server family. What enterprise wouldn’t want to say they make use of the expertise in the back of two of the strongest supercomputers on this planet to solve their business problems?

note: Moor Insights & method writers and editors may additionally have contributed to this article.  

Disclosure: Moor Insights & method, like all research and analyst organisations, offers or has provided paid analysis, evaluation, advising, or consulting to many excessive-tech corporations in the trade, including advanced Micro gadgets, Apstra, ARM Holdings, Bitfusion, Cisco methods, Dell EMC, Diablo applied sciences, Echelon, Ericcson, body, Gen Z Consortium, Glue Networks, GlobalFoundries, Google (Nest), HP Inc. HewlettPackard commercial enterprise, Huawei technologies, IBM, Jabil Circuit, Intel, Interdigital, Konica Minolta, Lenovo, Linux basis, MACOM (applied Micro), MapBox, Mavenir, Mesosphere, Microsoft, national contraptions, NOKIA (Alcatel Lucent), Nortek, NVIDIA, ONUG, OpenStack foundation, Peraso, Portworx, Protequus, Pure Storage, Qualcomm, Rackspace, Rambus, purple Hat, Samsung applied sciences, Silver top, SONY, Springpath, dash, Stratus technologies, TensTorrent, Tobii know-how, Synaptics, Verizon Communications, Vidyo, Wellsmith, Xilinx, Zebra, which may well be noted in this article.  


IBM makes a large guess on application-described storage and hybrid clouds | killexams.com Real Questions and Pass4sure dumps

IBM believes in the hybrid cloud, and now it’s backing that with software and a promise.

First, the promise: IBM is committing to spend $1 billion to develop its software storage portfolio over the subsequent 5 years. As a down price on that, it’s releasing a new software package referred to as IBM Spectrum Storage.

Spectrum Storage is in part the software layer for IBM’s excessive-conclusion storage equipment, called XIV. XIV is supposed for corporations with huge information storage needs and excessive-end necessities, however’s designed in such a way as to facilitate businesses’ moves in opposition t the cloud with the aid of serving as the “in-apartment” cloud while assisting the requisites used by way of public storage cloud infrastructures. IBM notes:

IBM’s Spectrum Storage portfolio can centrally control more than 300 different storage gadgets and yottabytes of facts.  This machine interoperability is the broadest in the industry — incorporating each IBM and non-IBM hardware and tape systems.  IBM Spectrum Storage can aid reduce storage costs as much as ninety percent in definite environments through automatically relocating facts onto probably the most low-priced storage machine — both from IBM or non-IBM flash, disk and tape systems.

With such an omnivorous strategy to requirements and interoperability, IBM is evidently hoping Spectrum Storage should be more than just a front end for XIV, but will win a significant place in huge organizations’ datacenters as those big methods beginning to move to a hybrid cloud architecture, with a mixture of average on-premises storage programs, scalable in-condominium clouds, and public clouds.

The circulation towards application-pushed storage is deliberate, and parallels a wider business fashion. in keeping with a Gartner look at mentioned by way of IBM, 70 % of current storage array solutions should be obtainable as “utility only” versions through 2019, and by using the following 12 months, 70 to 80 percent of unstructured data will reside in in your price range storage hardware managed by using utility-defined storage methods.

a part of IBM’s kit, IBM Spectrum speed up, is already getting used on one hundred,000 servers worldwide, IBM says, and is being verified by means of Netflix, China State Grid, and metropolis of Hope countrywide clinical core, amongst other shoppers. based on IBM:

IBM Spectrum accelerate allows for purchasers to layer their infrastructure with intelligent points derived from XIV. These features encompass enjoyable architecture with zero-tuning that may help customers dynamically add storage ability in minutes versus the months it takes these days to add, install and run storage hardware programs

In Netflix’s case, it replaced 16 present storage programs with three XIV programs, decreasing datacenter floor area utilization via 80 percent. I’ve embedded a video from IBM on the backside of this publish that describes Netflix’s use of XIV.

IBM is additionally open-sourcing the Spectrum accelerate software, which — presumably — it hopes will spur greater interest in XIV.

http://youtu.be/bg_zkpv6yds


IBM/purple Hat - The Calculus Of The Cloud Stays The equal | killexams.com Real Questions and Pass4sure dumps

1.0 government summary

Getting appropriate to the element, I’m skeptical that the crimson Hat (RHT) acquisition goes to be significant over the lengthy-term for IBM’s (IBM) company or share cost. I worry that pink Hat can also finish up being IBM’s (greater exactly Ginni Rometty’s) “Compaq”, as in Hewlett-Packard’s (NYSE:HPE) questionable buy of that company years in the past.

The argument that the “sum” of IBM + RedHat is greater than the individual components is not primarily robust for my part. i'm struggling to take into account the unique price proposition offered via the mixed groups after analyzing the transcript of the analyst convention name that followed the announcement. in particular, the typical thought that the joint expertise stacks by hook or by crook radically alternate the “calculus of the cloud” just doesn’t make sense to me. consequently, whereas some analysts have expressed issue over the $34 billion cost tag, my center of attention right here is specifically on IBM’s expertise arguments and market chance arguments used to justify the buy.

As a disclosure, I took place to eliminate my final position in IBM in October of this 12 months, as I began shedding shares a short time after I wrote IBM – A Turning or Sinking Ship in 2017. I additionally worked for IBM years ago inside the systems administration division, long earlier than the observe “cloud” existed in the terminology of ordinary suggestions technology.

in the sections that observe, any referenced costs are pulled from the in search of Alpha transcript of IBM and red Hat’s analyst conference name which adopted the acquisition announcement, until otherwise stated. I’m additionally attaching the transcript to this report for convenience.

2.0 WHICH CLOUD IS IT

Ginni Rometty notes that “[IBM] will be the undisputed quantity [1] chief in hybrid-cloud….[with the acquisition of] purple Hat, the realm’s main provider of open-cloud solution[s] and the rising leader within the platform for hybrid-cloud and multi-cloud.” Ms. Rometty, and different participants on the analyst call, use “hybrid-cloud” and “multi-cloud” terminology a little bit interchangeably; but, I believe some definition is effective so as to add some precision to our evaluation.

Wikipedia offers a pleasant, succinct definition of multi-cloud:

Multi-cloud is the use of varied cloud computing and storage features in a single heterogeneous structure.

We note that in a multi-cloud architecture, the clouds can also be public, deepest, or some mixture of both.

And here is IBM’s definition of “hybrid-cloud”:

A hybrid cloud uses a non-public cloud groundwork mixed with the strategic integration and use of public cloud features.

So, a hybrid-cloud uses as a minimum one private cloud, along with at least one public cloud and thus is fairly characterised by a private-public structure. we are able to then suppose of a hybrid-cloud as a sort of a multi-cloud.

Multi-Cloud and Hybrid-Cloud Diagram

supply: Yves Sukhu

This distinction is just a little important because IBM stresses its potential to especially trap a large share of the transforming into hybrid-cloud structure market by the use of crimson Hat’s applied sciences.

three.0 QUESTIONABLE ASSUMPTIONS

With our definitions in hand, let’s examine why IBM is doing this deal. for my part, the motives expressed on the analyst call boil down to an acquisition predicated upon three main assumptions:

  • collectively, there is a unique synergy between IBM and red Hat’s know-how stacks such that the mixture gives amazing differentiation within the areas of hybrid-cloud and multi-cloud computing versus competing options from the likes of AWS (AMZN), Microsoft Azure (MSFT), Google Compute (GOOG), and so forth.
  • Hybrid-cloud and multi-cloud computing solutions will (likely) force larger deal sizes and be extra ecocnomic for IBM, with many commercial enterprise shoppers just beginning to stream the majority of their purposes to heterogeneous cloud architectures.
  • The hybrid-cloud market is going to be price $1 trillion.
  • obviously, any flaws in these assumptions would weaken the premise for the deal itself. Let’s determine every.

    3.1 FIRST ASSUMPTION: whatever OPEN, anything pleasing?

    Ginni Rometty offers traders the following consumer requirement as a foundation for the marriage with pink Hat:

    “…The no 1 element [customers are] announcing to us is, hi there, we – these different clouds, they’re proprietary. We desire an open answer [with] no lock-in. So move it throughout numerous cloud environments and not using a lock-in, [that’s] what the two of us do collectively…after which they are saying, it has got to handle records security in a multi-cloud atmosphere and then supply us a way to control a multi-cloud atmosphere.”

    There are a few things to unpack right here. Ms. Rometty means that “other” clouds are proprietary and there's a consumer requirement for “an open answer”. I don’t precisely be mindful what she’s getting at here. She implies within the quote that clients get “locked in” with (definite) cloud environments; but, in its place, these customers want to be capable of stream their purposes with no trouble from cloud to cloud. i am scratching my head as a result of what Ms. Rometty’s “valued clientele” are calling lock-in appears to be involving their utility architecture, and never the cloud ambiance they are running on. A poorly designed cloud software will be difficult to flow no be counted what cloud it's operating on. The communicate is additionally actual: a well-designed cloud application might be handy(ier) to move from one cloud to an extra. I imagine many readers are established with the theory and technology of containers, equivalent to Docker. For readers that may be unfamiliar with the time period, I present a simple if slightly imprecise rationalization: containers provide a way to equipment the entire “parts” that an utility needs to run:

    Illustration of Container concept

    source: Docker/Datamation

    As we see in the illustration above, a container can “comprise” whatever thing an software needs to operate. In a bit of an over-simplification, if we want to circulate a containerized-software from one cloud to an additional, we simply “lift” the container up from its present cloud and drop the container on the new cloud. Readers who may additionally not be common with Docker and its container technology could be interested to be aware that it started as, and is, an open-supply utility project; the company also raised capital in late 2017 at a $1+ billion valuation.

    So, increasing on the utility of containers:

    “historically, applications or workloads generally needed to be rebuilt before they can be migrated to an extra environment. The solution to this is container know-how. on account that containers are isolated from neighboring containers and include every thing they need to run the utility, you can easily stream them to one more [cloud] atmosphere devoid of compatibility issues.”

    supply: Kumina

    As this Datamation article notes, “it changed into…the…clients [of cloud services] who demanded that this technology exist within public clouds that drove the [container] innovations that now exist.” In different words, users desired a simpler approach to equipment and movement their purposes between clouds; and that in flip spurred the public cloud providers (AWS, Azure, Google, IBM, etc.) to deliver container deployment aspects and services.

    One final point to make about containers is that purposes may additionally include a number of containers, wherein case container orchestration utility is used to automate and simplify the administration of all these containers. Kubernetes, yet another open-supply project firstly begun at Google, is among the customary orchestration programs (with Docker Swarm for instance of one more).

    Coming back to Ms. Rometty’s factor that consumers don’t need to be “locked in” and as an alternative are looking to be capable of circulation functions throughout multiple cloud environments, they (consumers) can definitely do this these days in the event that they design and set up their functions as it should be, with containers as an instance of 1 expertise that can also be quite valuable. She, really, makes this very factor declaring “…[We] had been constructing and we now have been very focused on hybrid and multi-cloud…in accordance with open technologies. So we’ve built on containers, Kubernetes…[and] multi-cloud supervisor became just announced remaining week…” but, let’s be clear: the other important cloud service suppliers (e.g. Amazon, Microsoft, and many others.) additionally present container and container orchestration capabilities. hence, the IBM Cloud is not in simple terms differentiated on this factor; yet, with the crimson Hat acquisition, IBM does attain pink Hat OpenShift which offers value-added performance constructed around Docker and Kubernetes. whereas there turned into no certain discussion on the analyst call, possibly IBM believes that its existing container management and cloud administration features can be augmented in such a method by OpenShift as to leapfrog the competitors when the use of the “married” technologies for multi-cloud environments. but, if that’s actual, why not principally talk concerning the capabilities that the combined agencies could have that will be sophisticated to others?

    Frankly, it seems to me that IBM’s latest cloud capabilities delivered to OpenShift are not going to be a enormous “online game changer”. firstly, any integration between IBM’s cloud know-how stack and red Hat’s will make an effort; time which rivals will certainly use to their advantage to be certain they don't seem to be left at the back of. 2d, I’ve already mentioned that OpenShift is in accordance with Docker and Kubernetes which capacity purple Hat’s cost-add is developed around the equal core used by using many others; however, the competition has and should continue to develop an identical value-brought choices as smartly. Third, if there become some “killer” set of cloud functionalities that the mixed stacks would generate, I’d like to consider the organizations would have made that clear; however they have not (at least not yet). Fourth, there's nothing that “ties” OpenShift to the IBM Cloud; believe that purple Hat’s personal OpenShift deployment “offerings” page – which I captured presently after the deal announcement – actually highlights AWS as a deployment platform:

    crimson Hat OpenShift Deployment Tiers

    source: pink Hat

    Now, crimson Hat also presents OpenStack, in accordance with a further set of open-supply technologies, which can be used via organizations to build out their personal deepest clouds and has synergy with Ansible, red Hat’s language for DevOps. OpenStack therefore helps IBM’s initiatives round hybrid-cloud deployments. youngsters, as with OpenShift, I’m now not fully convinced that putting this answer beneath an IBM umbrella is going to result in a highly differentiated providing, nor to a unexpected acceleration of deepest cloud adoption among enterprise purchasers. First off, IBM already had its personal answer stack during this enviornment, IBM Cloud private. considering IBM expressed such bullish sentiment about the hybrid-cloud market on the analyst call, I’m basically a bit surprised this specific solution providing become no longer mentioned all over the call. Assuming the hybrid-cloud area is as “sizzling” as IBM suggests, one might predict that IBM deepest Cloud has been selling neatly; why no longer call attention to the technology then? here's perhaps a refined element and will be an flawed extrapolation on my part, however leads me to ask yourself if the hybrid-cloud market is as powerful as IBM suggests it's, and may be. also as the in the past linked article notes, IBM is not on my own with an providing here, nor have been they “first” to market with one. Microsoft brought Azure Stack over a year earlier than IBM introduced its competing solution to market. IBM could argue that Azure Stack, as an example, is proprietary whereas their open-supply platform offers customers the entire freedom and merits that open-source options give. It’s a rewarding argument, and it could extra strongly aid Ms. Rometty’s comment that clients don’t wish to be locked-in. after all, with an open-source-primarily based deepest cloud platform, a customer can alter and extend it as they want, which undoubtedly is not possible to the same extent with a closed solution. it might had been effective if IBM provided some data facets to take into account if a style toward open-supply exists inside the hybrid-cloud market, and above all for personal-cloud deployments. in the absence of particulars, i am left a bit of skeptical that purple Hat OpenStack is going to materially trade the “strength” of IBM’s hybrid (inner most/public) cloud providing.

    If we tie all of this back to Ms. Rometty’s quote at the beginning of the section, it appears to beef up that customer comments round “an open [cloud] solution with out a lock-in” look a little bit invalid when due to the fact the applied sciences (e.g. containers, orchestration) that have already developed to supply cloud clients with the application portability that they desire. The remark has enhanced validity when one considers the architectural percentages of a private cloud inside a hybrid-cloud ambiance; but, as I argue above, there seems to be a scarcity of facts which might suggest customers lean toward non-proprietary (e.g. open-supply-based) deepest cloud deployments.

    To summarize, I don’t (at the moment) see anything else in reality enjoyable that emerges through a combination of both agencies’ cloud stacks. To be fair, the corporations need time to improve tightly integrated solutions, and IBM is yet to practice the vigour of its building firm in opposition t crimson Hat’s technologies. however, if I’m appropriate that “there is not an awful lot to look here” in terms of the joint stacks, this perception would, of route, at once undermine Ms. Rometty’s advice that the two corporations should be a transparent chief, exceptionally in hybrid-cloud solutions.

    3.2 2d ASSUMPTION: consumers are only GETTING begun

    Ms. Rometty mentions, more than as soon as, that we are coming into a 2nd section of cloud adoption (“chapter 2” as she calls it). within the first section, valued clientele moved their “simplest” workloads to the cloud with a price-discount rates center of attention. These workloads represented the established Pareto-rule 20% of client applications; and accordingly, 80% of functions remain to be transitioned to the cloud. Ms. Rometty states:

    “[Customers have] got to flow [these remaining 80% of applications]. They either have to rewrite, refactor, come to a decision what goes the place, relaxed the data. These are inhibitors that stop them from going [to the cloud]. So here is best going to be carried out this circulation to the eighty%, if you can circulate facts and functions across dissimilar cloud[s], make that transportable…”

    She continues…

    “but this is an inflection aspect, and if [customers are] going to get previous that and stream the different 80% which is ready all their processes and their information they want what we’re going to offer together, this mighty atmosphere. And so this eighty% is…about…unlocking enterprise cost…the common purchasers has a thousand software[s] and the common client already has 5…that we see some as many as many as sixteen clouds.”

    the first comment, “[customers have] got to movement…”, is price debating. common sense tells us that not all purposes are always a great fit for a cloud deployment for any number of factors: required dependencies aren't conveniently replicated in a cloud atmosphere, security considerations, lack of charge-rate reductions, etc. So, clients certainly do not need to stream the majority of their functions to a cloud architecture. however, possibly Ms. Rometty is taking part in just a little together with her words, and is saying with somewhat of “dressing” that the style towards cloud adoption will proceed…which it certainly will.

    however, I believe there is room to problem what she says within the following few statements. She explains that “[customers] either have to rewrite, refactor, come to a decision what goes the place…” indeed, IBM and other technology providers will, as they already have, be afforded with opportunities to help consumers migrate certain purposes to cloud environments. That’s first rate information for IBM’s very gigantic service business, and there is reason to suppose the functions community will improvement just a little from the pink Hat purchase. These alternatives practically certainly grow in scope and income/income potential to the extent that these functions are migrated to enormously disbursed fashions operating on (maybe) heterogeneous cloud structures (e.g. multi-cloud). So, I feel Jim Kavanaugh, IBM’s CFO, accurately cited that “[distributed cloud solutions] speeds up our mix shift to bigger cost...and is accretive to our gross earnings margin…”

    but, there is a counter-argument to accept as true with here. in place of rewriting/refactoring existing legacy functions, customers may additionally in its place pick out “off-the-shelf” solutions (SaaS or in any other case) which may show to be more within your budget, up to date, and more straightforward to preserve. as an instance, Salesforce.com (CRM) and Workday (WDAY) actually didn’t obtain their market penetration because valued clientele opted to remodel any homegrown CRM and HR purposes respectively. unluckily, IBM doesn’t focus on the COTS method and its talents impact on their projections for growing their cloud linked revenues.

    moving to IBM’s declare that multi-cloud environments could be extra regular sooner or later, as per Ms. Rometty’s commentary that “the regular customer already has 5 [clouds]…”, there is a few information to backup what the company is announcing right here: a TechRepublic survey from 2017, for instance, stated that the majority of corporations surveyed had already adopted a hybrid-cloud structure. but, we understand that IT tends to circulation in cycles. think about what took place with the customer-server computing paradigm where “server sprawl” eventually gave method to server explanation and a push for homogeneity amongst techniques. Is it now not possible that we may see anything an identical with cloud, where valued clientele “awaken” at some point and ask themselves why they have got 5 clouds once they could be able to function with 1? agree with one of the vital leading standards for the Pentagon’s latest $10 billion JEDI cloud challenge: they are (for the moment) insistent that the mission award and associated computing workloads will go/run on a single cloud. As readers can also be aware of, IBM is one of the bidders on the undertaking and formalized their objection to the executive Accountability workplace (GAO) for the requirement of a homogenous cloud atmosphere. Assuming the Pentagon receives its way and is a success with its deployment, if the department of defense (DOD) can function on a single cloud, then why does a given business want upwards of 16 clouds (the use of the “excessive” instance from IBM’s quote)?

    The overarching theme here is that Ms. Rometty’s position that the “ultimate” 80% of legacy client applications are just ready to be moved right into a multi-cloud ambiance has weak facets. in spite of the fact that it have been strong, I’m now not bound IBM essential to spend $34 billion on purple Hat to trap these alternatives. I already argued within the previous area that IBM had current capabilities within the identical cloud expertise areas the place crimson Hat operates. If we consider about Ms. Rometty’s comment about “rewriting/refactoring”, what does pink Hat offer here that IBM does not already have? here's work that sits squarely in the area of IBM’s capabilities neighborhood; a gaggle that might “plug in” crimson Hat’s expertise, or some other cloud technology, where it makes experience in line with customer necessities.

    however, the pink Hat acquisition aside, if it turns out that multi-cloud architectures finally “in the reduction of” to simpler, single cloud environments which deliver sufficient robustness and reliability to fulfill most client requirements, then this “cloud clarification” could have a dramatic affect on IBM’s exact-line and bottom-line increase forecasts considering the fact that the company is tying each metrics specially to its chance with “excessive-value” multi-cloud options.

    three.3 THIRD ASSUMPTION: IS $1 TRILLION FOR HYBRID-CLOUD useful?

    Ms. Rometty asserts that the market for hybrid-clouds will grow to over $1 trillion. She states:

    “And to steer in the 2nd chapter, here's going to be about hybrid-cloud. In hybrid-cloud is an emerging $1 trillion market…I mean what we did became look and we see a scale of a $1 trillion market…We observed to ourselves and normally kept saying: What do we do more suitable to tackle the needs of our consumers? How can we accelerate our capacity to head after that? And figuring out and there’s actually an important aspect, knowing that Linux is the fastest becoming platform out there. And this just this yr, it grew to become the no 1 platform both on-prem and within the cloud.”

    all through the analyst name, there was no point out of precisely when the marketplace for hybrid cloud is expected to reach $1 trillion in value, nor the CAGR for this certain segment of the average cloud market. I struggled to discover decent data in help of IBM’s projection right here, although Market research Media offers a forecast of $1 trillion for the complete cloud market through 2024. interestingly, the Market research Media record synopsis highlights the speedy growing to be/high precedence technology segments in the cloud market, however multi-cloud and hybrid-cloud don't seem to be mentioned in that context. this text, which became referenced in section 3.1, rates IBM in 2017 as saying “they predict corporations to spend more than $50 billion a 12 months global beginning [in 2017] to strengthen deepest clouds, with the growth fee hitting 15 to twenty percent a yr through 2020.” using these figures as a proxy for the overall hybrid-cloud market, it might definitely take somewhat a while to reach $1 trillion in total price even at the high conclusion of the boom range.

    One aspect technology leaders appear to be mainly decent at is coming up with very large numbers when describing their complete addressable market (TAM). Admittedly, I’m not certain if IBM’s estimate is functional here or not due to the fact that…who really knows right now how big the hybrid-cloud market might become? In support of IBM’s forecast, the in the past mentioned article notes that “previous [in 2017], IDC analysts launched a survey that indicated that just about 80 % of large agencies with 1,000 or extra employees have already got a hybrid cloud method in place. moreover, 51.four percent are using both public and private cloud infrastructures, and 29.2 p.c expect to do the equal inside the subsequent year.” These metrics are positive to aid IBM’s argument, but they could also be interpreted to indicate that most huge clients already have a hybrid-cloud in place, and hence new hybrid-cloud deployments could truly lower relocating ahead. extra, if we do not forget the discussion in area 3.2 round consumers identifying COTS/SaaS purposes, as neatly as the opportunity that single cloud architectures may eventually establish themselves because the dominant mannequin, then it’s imaginable that a $1 trillion hybrid-cloud market may additionally no longer materialize.

    four.0 CONCLUSION

    “Whoa” changed into supposedly Steve Ballmer’s (former Microsoft CEO) reaction upon hearing concerning the IBM-red Hat deal. possibly that single word choicest describes the existing sentiment of many others.

    The leading thrust of what I’ve introduced listed here is that i'm nonetheless struggling to keep in mind what key technologies IBM gets with crimson Hat that they didn’t have already got, and why they felt they essential to spend 1/three of their market cap on a company that is simply generating just a few hundred million in cloud solution income (besides the fact that children their increase expense is excessive). still, the “math” doesn’t add up for me, youngsters most likely it's going to in time as IBM and red Hat stronger explain their entertaining cost proposition.

    Readers might also rightfully point out that I’ve unnoticed the potentialities for purple Hat Linux and their middleware stack below IBM in my evaluation. In regard to the latter, I suppose IBM’s possession of red Hat’s middleware stack is probably going to create some confusion, as a minimum within the short time period. IBM and pink Hat will definitely ought to determine a way to place WebSphere versus JBoss. And as other authors have suggested, crimson Hat commercial enterprise Linux (RHEL) may finally supplant AIX as IBM’s de facto UNIX distribution. The connected migration work would presumably pressure a fair volume of technology and guide features. Ms. Rometty noted in a single of the previously mentioned quotes that Linux is the quickest growing to be operating device in the cloud and on-premise. however, note that she did not say that RHEL is the fastest growing to be Linux distribution. To that end, there is some statistics suggesting that Ubuntu is transforming into faster in the business Linux phase. without more data from IBM and pink Hat, it’s in reality somewhat challenging to quantify the have an impact on of purple Hat’s Linux and JBoss product units to IBM over the lengthy-time period.

    As mentioned, I expect that IBM and pink Hat will supply better readability on the strategic price-add of the 2 corporations as we circulation into 2019, and the way they intend to combine their stacks to superior compete against the likes of AWS, Microsoft, and Google. i hope they do; as a result of evidently investors will send the stock decrease (than it already is) if most turn into satisfied the sum of the businesses lacks incremental price. Yet, while IBM/crimson Hat supply further particulars to the market, as I’ve outlined herein there are a number of counter-arguments which undermine the assumptions that this deal relies upon. in my opinion, the calculus of the cloud stays the equal for the time being.

    aiding documents

    ibm_redhat_acquisition_transcript.pdf

    Disclosure: I/we have no positions in any shares mentioned, and no plans to provoke any positions within the next seventy two hours.

    I wrote this article myself, and it expresses my own opinions. i'm not receiving compensation for it (other than from in the hunt for Alpha). I don't have any business relationship with any business whose stock is outlined in this article.


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    While smartphones with a sliding mechanism are nothing new, Honor Magic 2 is the world’s first phone with six cameras. The latest Honor flagship smartphone has all the top-tier specifications you would expect from a high-end phone, with the exception of a 40MP sensor and wireless charging support. However, since Honor sells affordable phones, the omission of these two features is hardly surprising.

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    Coming to the camera specifications, the rear camera system has two 16MP sensors and one 24MP lens, which means the super wide-angle lens and monochrome sensor are supplementing the main sensor. On the front, there is a 16MP main camera, a 2MP depth sensor for bokeh portraits, and a 2MP sensor for 3D face unlocking.

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    The Truth About Tape Backup | killexams.com real questions and Pass4sure dumps

    The Truth About Tape Backup

    Tape … disk … tape … disk! Round and round we go.

    Frankly, I am astounded and perturbed by campaign of fear, uncertainty, and doubt (FUD) being waged against venerable tape technology by purveyors of cheap disk arrays. It bothers me when an IT person quotes Gartner on its 1-in-10 tape failure rate statistic—a number that has no correlation with any hard statistical evidence gathered on planet Earth.

    Recently, an IT manager told me he was looking for a disk-based backup solution because he was afraid of the potential for losing a lot of data, given the capacities of tape technology today. If a single tape went bad, he stood to lose a much bigger chunk of data than five or ten years ago, given the relative capacities of media then and now. And now that Gartner was saying that 1-in-10 tapes fail … well, you do the math.

    When I asked him if he was experiencing anything like the Gartner failure rate, he responded with a confident “No.” If one tape in a thousand went bad in his 11,000 media program, it would be a significant event.

    Fear, uncertainty, and doubt are emotional responses, not the foundation for a technical or business case for tape replacement, I offered. He shrugged. Everybody seemed to be moving from tape to disk, so he was going to follow the pack.

    I am seeing a lot of this behavior, and, frankly, I wonder if disk to disk is truly a trend or just a bubble. I’m not alone in wondering about this.

    A vendor insider recently told me that Vin Cerf, one of the founders of the Internet, was invited to see the company’s disk-to-disk-to-tape solution. Cerf watched the presentation, I’m told, and shook his head in disbelief. He uttered a comment like the following: So, I have to do six hops to move data to tape, then to restore it from tape and return it to the application server. Seems like a lot of hops, a lot of data movement, for such a simple task.

    When disk-to-disk was revitalized as an architecture a few years ago, I was all for it. I thought there was a lot you could do on that second tier of disk, from cleaning out the duplicates and contraband data from your backup set, to screening it for hygiene with anti-virus and malware detection software, to compressing it down to take less space (and less time to backup to tape), to encrypting data without introducing latency into primary I/O operations, and maybe even to implementing a data classification scheme. I never bought the idea that disk would replace tape. I saw Tier-2 storage as a place to optimize the use of tape by ensuring that the data it would store would be the most distilled and pristine data possible.

    I also never agreed with the idea that the appropriate role of disk was as a tape surrogate, that the data directed to Tier 2 would be a backup stream—a bucket of anonymous data. To my way of thinking, disk should be treated as disk, not as a virtual tape drive.

    That thinking ran afoul of many tape and disk folk who were seeking to introduce DDT into a market already dominated by D-to-T. They argued that disk as tape would speed up backups. You could basically field Tier-2 disk as a virtual tape library with a lot of virtual tape drives so that streaming data could be transported more efficiently. Secondly, you could leverage the read/write speeds of disk to record data faster than you could with traditional tape at the time. Both were compelling arguments, of course, to IT folk who were having difficulty doing backups in the window of their operations schedule for doing this kind of work.

    Further bolstering the case for DDT was the notion that disk was becoming cost-competitive with tape, especially with the introduction of cheap SATA drives. For between a $1.80 and $3.00 per GB, not a lot more than tape, you could have the reliability of spindles. This may have made sense, too, until you looked into the cost of ownership.

    Now that we have a few years of DDT propaganda behind us, I believe we can begin a sober discussion of the strategy’s reality. Here are a few important facts to consider.

    1. The need for virtual tape is by no means universal.

    Truth be told, most organizations are well served by the current tape components they have. They can get the backups done in a reasonable period of time. If data volume has grown beyond the time frame available for doing backups, maybe what you need to do is to look at the data itself.

    Files are being replicated 8 to 10 times in most companies. Culling out the duplicates alone can shrink the volume of data that needs to be backed up.

    Applying even greater discipline to data, such as a data-naming scheme, can help to further segregate what needs to be backed up from what doesn’t. That can dramatically reduce the burden on tape resources, since only the data required for regulatory compliance or disaster recovery of mission-critical operations would need to be backed up. Data management could also help identify stale data, that could be deleted altogether.

    Compressing data before it is sent to tape is another way to reduce the load and improve the efficiency of tape backup processes. Look at what Avamar or Rocksoft or any of the other compression companies can do with high performance algorithms and you get an idea of what 18 to 1 compression could mean to your tape solution.

    Bottom line: there is a lot we can do to give tape backup greater efficacy, even in 24x7x365 environments and even in the face of data growth. You don’t necessarily need to front end your tape with disk.

    2. Information on the cost of DDT is unreliable and subject to considerable hyperbole.

    Manufacturers may get their disk for a buck-eighty a gig, but that’s not what the consumer pays. After the manufacturer adds software and includes his profit margin of, conservatively speaking, 20 percent, the SATA array costs about $5700 for 3.2 TB. Next, the distributor tacks on a profit margin and handling fees. Then the reselleradds a profit margin and handling fees. Finally, that array costs somewhere around $20,000 or $6.25 per GB, not including the price of array management, components, and networks or fabrics to connect to it, backup software, and soft costs such as labor.

    Tape solution acquisition costs are much lower, even when you factor in high-end autoloaders and robots. That said, tape’s cost of ownership has a potentially large labor cost component, primarily for tape-media management. Like most labor cost centers, however, this one can be adjusted very effectively with the right software and services.

    Instead of having folks pull tape cartridges for distribution to off-site storage, why not write your second tape copy directly to a remote vault across a network? Services exist, and have been discussed in this column, to facilitate that modus operandi. They will even send the tape electronically to your recovery center, if you prefer.

    You may also want to consider that SATA II is not the same beast as SATA. Unlike the original “cheap and plentiful” disk technology that was the star of the storage industry in 2004, SATA II is becoming a political nightmare. Vendors are selectively implementing the standard and calling their products SATAextended or ultrawideSATA, and there is no guarantee that these products are going to plug and play with one another.

    I’m afraid that we are heading for another litany of plug-fests and interoperability demos resembling those we have seen with Fibre Channel. Such things always happen when standards become balkanized. (My test labs are setting up conformance testing regimes for both SATA II and SAS. With or without vendor permission, it is my intention to test every product I can and publish the results so consumers will know which products conform to the standards and which don’t. Stay tuned.)

    3. Gartner’s scare statistics notwithstanding, there is no evidence that tape is more prone to failure today than in the past.


    Tape update: LTO-7 bit error rate improves, LTFS use rises | killexams.com real questions and Pass4sure dumps

    The seventh generation Linear Tape-Open (LTO) specification offers more than a doubling of the maximum compressed capacity to 15 TB and an increase in the data transfer rate to 750 megabytes per second.

    Newly released LTO-7 also improves the bit error rate to a significant degree, according to representatives from Hewlett-Packard (HP), IBM and Quantum, the LTO program technology provider companies.

    Shawn Brume, a business line executive for data protection and retention at IBM, and Laura Loredo, a worldwide product manager for HP's enterprise servers, storage and networking, recently spoke with TechTarget about the significance of the new LTO-7 specification and adoption trends with the Linear Tape File System (LTFS).

    They claim the open-standard LTO Ultrium format commands about 85% of the tape market over proprietary formats from vendors such as IBM and Oracle.

    Is there anything special about the LTO-7 update other than the boost in the capacity and data transfer rate?

    Brume: The bit error rate has improved over previous generations, and that can actually be significant. To the common customer, it may not look like there's been a big difference, but the bit error rate drives reliability and availability of data. … Cloud providers say they have nine nines of availability. ... By moving to the higher bit error rate on tape, we actually move tape into the availability rate of 12 nines on a single copy of data when you calculate out availability based on bit error rate.

    So, it is a significant jump in the long-term reliability of data to be written correctly and be able to be read back correctly. And since tape is the lowest cost target for data -- that often means data is going to stay there forever -- having that availability and that reliability is very important.

    To what degree did the error correction code improve in LTO-7 compared to LTO-6?

    Newly released LTO-7 improves the bit error rate to a significant degree, according to representatives from Hewlett-Packard, IBM and Quantum.

    Brume: The correction codes change every version. The bit error rate in LTO-6 was [10Ex17] and now in LTO-7, it's [10Ex19]. It would be 1 with 17 zeroes after it versus 1 with 19 zeroes after it, as far as the number of disks written without error. So the method and the capabilities of the error corrections during write and read operations has been significantly improved enough based on coding and the manner in which the algorithms are run to make that statistical claim of availability, or should we say, reliability of data.

    They're both large numbers. Is the difference significant?

    Brume: They both are significantly large numbers, but the difference means the difference between writing one petabyte (PB) of data without an error and writing 100 PBs of data without an error. And if you compare that to disk, you're looking at hundreds of terabytes (TBs) vs. hundreds of PBs.

    For what types of customers will the bit error rate improvements be meaningful?

    Brume: High-end customers have always written into the 10s and 100s of PBs of data: financial industry, oil and gas, those collecting geospatial data. They've always written petabytes. But what we're seeing is new use cases where they're writing not only PBs but exabytes and zettabytes of data, which includes cloud.

    When you look at cloud providers that are offering storage, those CSPs [cloud service providers] need a reliable medium. … Google Nearline and Amazon Glacier say this is a place to put your data. It will survive forever. Well, those CSPs need the lowest cost storage in order to turn margins. What better way than to put it on tape and know that your reliability is three orders of magnitude better than what you can do with disk.

    Other use cases that we're seeing growing: media and entertainment [M&E]. There are rumors that both Star Wars 7 and the next Avatar are going to take over a PB of data to do all the transforms and everything in order to release those to market. That's a lot of data in the M&E industry.

    How is in-house tape faring vs. cloud archiving?

    Brume: Cloud archiving's new. It's making its inroads. They still don't have nearly as much data within cloud as there are on-premise installations, or what we might call on-premise clouds, for some of these other vendors. But some of the majors within the industry have already talked that in their storage infrastructures, they are using tape. … The fact is, tape is more alive even in the latest use cases -- cloud -- than it's ever been before.

    What kind of traction are you seeing for LTFS?

    Brume: We know that it took off extremely well on its introduction into the media and entertainment industry. That was mainly because with media and entertainment, they're very much early adopters. But what's happened since then is those infrastructures have grown. The need for open, non-proprietary standards of the data on tape is really pushing customers to say, "Hey, I need a format that's easy to use. How can tape help me?" And LTFS has been the great savior there in that customers look at it and go, "OK. So what you're telling me is I can view my data like it is a file system interface. I can drag and drop. I can do adds and deletes and everything I need to do, and when I tuck that data away, I don't have to keep the application that wrote the data." That right there is a huge savings because they don't have to keep this huge database.

    Loredo: It has grown very big in media and entertainment, but it's going to all the different verticals where they have a need for long-term retention of data, and they have big amounts of data. So anything that requires video, like video surveillance, medical images, media and entertainment, they're creating huge amounts of data that they need to retain for very long periods of time. It's ideal for these verticals.

    Brume: Does it mean it's their global standard? No, but I think a great reference on how well it's expanded is in late 2013, early 2014; Discovery Channel made the mandate that if you were going to send them video, you must send it on an LTO tape formatted in LTFS. That's a pretty big statement considering that they're one of the largest ingest houses for raw data.

    Have you seen any change in the last year or so in the way that people use tape? Are they using tape as a tier with flash- and disk-based storage arrays?

    Brume: It certainly is used with the flash and disk systems, and there's a lot of information out there where you can see people are recognizing the value even of a flape solution -- flash and tape -- because tape is going to give them that lowest cost storage for that 80% of data that rarely, if ever, gets touched that they have to keep.

    What we're actually seeing is a lot of people are coming back and saying, 'I have to store that data, and I have to store it forever, and as I move my infrastructure, because now we're starting to see an economy turnaround, I need to figure out how to implement tape better in LTFS.'

    What are your predictions going forward for tape?

    Brume: You're going to see tape really stabilizing. You're going to see the industry of cold storage growing, more cloud providers recognizing the need, more social media recognizing the need for tape infrastructures. I mean, 300 hours of video uploaded to YouTube every minute? That data's got to go somewhere, and ultimately, if they're going to keep it, most of it's not going to be accessed.

    Are you going to see giant revenue growth? No, it's not about giant revenue growth. If you look at the capacities of the tape and the ability to deliver that, what you'll see is a flattening of revenue, but you're going to continue to see the exabytes of data shipped every year continue to grow significantly. So, you'll see probably less customers at the extreme low end using tape and at the extreme high end [they will be] adopting even more tape.



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    IBM 000-385 Exam (High End Tape Solutions, Version 3) Detailed Information



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