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

Test Code : 000-385
Test designation : High finish Tape Solutions, Version 3
Vendor designation : IBM
: 161 real Questions

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IBM IBM tall finish 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 offshoot of energy to Power9 powering the apex 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 prefer 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 consume of CPUs). Sierra is currently ranked because the third-quickest supercomputer in the world, and it turned into introduced final week that the outfit is now operational and in the ultimate testing before “acceptance.” Acceptance is a term used by the U.S. govt asserting to IBM “you delivered what they 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 route 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 drudgery on purposes and establishing optimized code. LLNL has additionally purportedly been working carefully with the o.k.Ridge country wide Laboratory, where the apex supercomputer is housed, which makes feel and completely satisfied to peer because the expense scope each and every comes from U.S. taxpayers.

functions

Sierra could be achieve to consume against countrywide protection—NNSA’s Stockpile Stewardship software, ongoing actuality extension programs, weapons science, and nuclear deterrence. each and every this is code for performing nuclear and nuclear protection simulations, eliminating the should glance at various nuclear bombs in the hub of the desert or underground. It’s crucial to notice that that Sierra will even be achieve to consume 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 flawless relish as Sierra is the third quickest supercomputer on this planet involving classic HPC efficiency.

Why this concerns

I cheer IBM for not abandoning its nation’s defense in its time of necessity fancy 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 their nation’s protection and its citizens.

All in all, here is one more solid HPC operational win for IBM’s POWER9. I absorb called the POWER9 architecture the “Swiss military knife” of acceleration and as it is the most confiscate compute acceleration platform with advocate for five other ways to hurry 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 subject for recollection entry, which simplifies application edifice and minimizes latency. This may quiet 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 hiss they bear consume of the expertise in the back of two of the strongest supercomputers on this planet to decipher their trade problems?

note: Moor Insights & routine writers and editors may additionally absorb contributed to this article.  

Disclosure: Moor Insights & method, fancy each and every 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, absolute 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 notable in this article.  


IBM makes a great 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 expend $1 billion to develop its software storage portfolio over the subsequent 5 years. As a down expense on that, it’s releasing a newfangled software package referred to as IBM Spectrum Storage.

Spectrum Storage is in piece the software layer for IBM’s excessive-conclusion storage equipment, called XIV. XIV is conjectural for corporations with huge information storage needs and excessive-end necessities, however’s designed in such a route 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 route 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 finish for XIV, but will win a significant spot in huge organizations’ datacenters as those great methods birth to trot to a hybrid cloud architecture, with a blend of tolerable on-premises storage programs, scalable in-condominium clouds, and public clouds.

The circulation towards application-pushed storage is deliberate, and parallels a wider trade fashion. in keeping with a Gartner glance at mentioned by route 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 expense scope storage hardware managed by using utility-defined storage methods.

a piece of IBM’s kit, IBM Spectrum hurry up, is already getting used on one hundred,000 servers worldwide, IBM says, and is being verified by means of Netflix, China condition 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 bright points derived from XIV. These features encompass enjoyable architecture with zero-tuning that may advocate customers dynamically add storage skill in minutes versus the months it takes these days to add, install and accelerate 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 consume 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 confiscate 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 participate 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 dispute that the “sum” of IBM + RedHat is greater than the individual components is not primarily robust for my part. i'm struggling to prefer into account the unique expense proposition offered via the mixed groups after analyzing the transcript of the analyst convention designation 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 bear sense to me. consequently, whereas some analysts absorb expressed issue over the $34 billion cost tag, my hub of attention birthright here is specifically on IBM’s expertise arguments and market haphazard arguments used to warrant the buy.

As a disclosure, I took spot 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 commemorate “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 designation 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, consume “hybrid-cloud” and “multi-cloud” terminology a tiny bit interchangeably; but, I believe some definition is effective so as to add some precision to their evaluation.

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

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

We note that in a multi-cloud architecture, the clouds can also be public, deepest, or some blend 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 consume 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. they 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 tiny significant because IBM stresses its potential to especially trap a great participate of the transforming into hybrid-cloud structure market by the consume of crimson Hat’s applied sciences.

three.0 QUESTIONABLE ASSUMPTIONS

With their definitions in hand, let’s examine why IBM is doing this deal. for my part, the motives expressed on the analyst convene 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 blend gives extraordinary 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) compel larger deal sizes and be extra ecocnomic for IBM, with many commercial enterprise shoppers just birth to stream the majority of their purposes to heterogeneous cloud architectures.
  • The hybrid-cloud market is going to be expense $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 factor [customers are] announcing to us is, hi there, they – these different clouds, they’re proprietary. They crave an open concede [with] no lock-in. So trot it throughout numerous cloud environments and not using a lock-in, [that’s] what the two of us conclude collectively…after which they are saying, it has got to handle records security in a multi-cloud atmosphere and then supply us a route to control a multi-cloud atmosphere.”

    There are a few things to unpack birthright 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 win “locked in” with (definite) cloud environments; but, in its place, these customers want to be capable of stream their purposes with no peril 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 stream no be counted what cloud it's operating on. The communicate is additionally actual: a well-designed cloud application might be handy(ier) to trot 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 route to outfit the entire “parts” that an utility needs to run:

    Illustration of Container concept

    source: Docker/Datamation

    As they descry in the illustration above, a container can “comprise” whatever thing an software needs to operate. In a bit of an over-simplification, if they want to circulate a containerized-software from one cloud to an additional, they simply “lift” the container up from its present cloud and drop the container on the newfangled cloud. Readers who may additionally not be common with Docker and its container technology could be interested to be cognizant 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 necessity to accelerate 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 outfit 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 bear 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 each and every 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 necessity to be “locked in” and as an alternative are looking to be capable of circulation functions throughout multiple cloud environments, they (consumers) can definitely conclude 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 they now absorb 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 significant 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 inescapable discussion on the analyst call, possibly IBM believes that its existing container management and cloud administration features can be augmented in such a routine by OpenShift as to leapfrog the competitors when the consume 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 absorb 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 immense “online game changer”. firstly, any integration between IBM’s cloud know-how stack and red Hat’s will bear an effort; time which rivals will certainly consume to their handicap to be inescapable 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 fancy to deem the organizations would absorb made that clear; however they absorb 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 concede 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 concede 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 each and every over the call. Assuming the hybrid-cloud area is as “sizzling” as IBM suggests, one might forecast that IBM deepest Cloud has been selling neatly; why no longer convene attention to the technology then? here's perhaps a refined factor and will be an flawed extrapolation on my part, however leads me to put a question to 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 absorb 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 squabble 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 feasible to the very extent with a closed solution. it might had been effective if IBM provided some data facets to prefer into account if a style toward open-supply exists inside the hybrid-cloud market, and above each and every 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 they tie each and every of this back to Ms. Rometty’s quote at the birth of the section, it appears to beef up that customer comments round “an open [cloud] solution with out a lock-in” glance a tiny bit invalid when due to the fact the applied sciences (e.g. containers, orchestration) that absorb 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 squabble above, there seems to be a scarcity of facts which might imply customers scrawny toward non-proprietary (e.g. open-supply-based) deepest cloud deployments.

    To summarize, I don’t (at the moment) descry anything else in reality enjoyable that emerges through a combination of both agencies’ cloud stacks. To be fair, the corporations necessity time to ameliorate tightly integrated solutions, and IBM is yet to drill the vigour of its edifice firm in opposition t crimson Hat’s technologies. however, if I’m confiscate that “there is not an Awful lot to glance here” in terms of the joint stacks, this perception would, of route, at once undermine Ms. Rometty’s counsel 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 they 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 hub 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 stream [these remaining 80% of applications]. They either absorb to rewrite, refactor, near to a decision what goes the place, relaxed the data. These are inhibitors that cease 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], bear that transportable…”

    She continues…

    “but this is an inflection aspect, and if [customers are] going to win previous that and stream the different 80% which is ready each and every their processes and their information they want what we’re going to proffer 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 they descry some as many as many as sixteen clouds.”

    the first comment, “[customers have] got to movement…”, is expense debating. common sense tells us that not each and every purposes are always a mighty meet 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 conclude not necessity to stream the majority of their functions to a cloud architecture. however, possibly Ms. Rometty is taking piece in just a tiny together with her words, and is maxim with rather of “dressing” that the style towards cloud adoption will proceed…which it certainly will.

    however, I believe there is play to problem what she says within the following few statements. She explains that “[customers] either absorb to rewrite, refactor, near to a decision what goes the place…” indeed, IBM and other technology providers will, as they already have, be afforded with opportunities to advocate consumers migrate inescapable purposes to cloud environments. That’s first rate information for IBM’s very gigantic service business, and there is judgement to suppose the functions community will improvement just a tiny 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 their fuse shift to bigger cost...and is accretive to their grievous earnings margin…”

    but, there is a counter-argument to accept as upright with here. in spot of rewriting/refactoring existing legacy functions, customers may additionally in its spot pick out “off-the-shelf” solutions (SaaS or in any other case) which may exhibit 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 routine and its talents repercussion 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 birthright here: a TechRepublic survey from 2017, for instance, stated that the majority of corporations surveyed had already adopted a hybrid-cloud structure. but, they understand that IT tends to circulation in cycles. deem about what took spot with the customer-server computing paradigm where “server sprawl” eventually gave routine to server explanation and a propel for homogeneity amongst techniques. Is it now not feasible that they may descry anything an identical with cloud, where valued clientele “awaken” at some point and put a question to themselves why they absorb got 5 clouds once they could be able to office with 1? coincide 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 lone cloud. As readers can also be cognizant 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 route and is a success with its deployment, if the department of defense (DOD) can office on a lone cloud, then why does a given trade want upwards of 16 clouds (the consume 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 birthright into a multi-cloud ambiance has frail facets. in spite of the fact that it absorb been strong, I’m now not bound IBM essential to expend $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 spot crimson Hat operates. If they deem about Ms. Rometty’s comment about “rewriting/refactoring”, what does pink Hat proffer here that IBM does not already have? here's drudgery 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 relish 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, lone cloud environments which deliver sufficient robustness and reliability to fulfill most client requirements, then this “cloud clarification” could absorb a theatrical influence on IBM’s exact-line and bottom-line expand forecasts considering the fact that the company is tying each metrics specially to its haphazard 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 weigh what they did became glance and they descry a scale of a $1 trillion market…We observed to ourselves and normally kept saying: What conclude they conclude more suitable to tackle the needs of their consumers? How can they accelerate their capacity to head after that? And figuring out and there’s actually an significant 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 gain $1 trillion in value, nor the CAGR for this inescapable segment of the tolerable cloud market. I struggled to determine decent data in advocate of IBM’s projection birthright 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 maxim “they forecast corporations to expend more than $50 billion a 12 months global birth [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 prefer rather a while to gain $1 trillion in total expense even at the tall conclusion of the boom range.

    One aspect technology leaders emerge to be mainly decent at is coming up with very great numbers when describing their complete addressable market (TAM). Admittedly, I’m not inescapable if IBM’s assay is functional here or not due to the fact that…who really knows birthright now how great the hybrid-cloud market might become? In advocate 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 great agencies with 1,000 or extra employees absorb already got a hybrid cloud routine in place. moreover, 51.four percent are using both public and private cloud infrastructures, and 29.2 p.c hope to conclude the equal inside the subsequent year.” These metrics are positive to aid IBM’s argument, but they could also be interpreted to attest that most huge clients already absorb a hybrid-cloud in place, and hence newfangled hybrid-cloud deployments could truly lower relocating ahead. extra, if they conclude not forget the discussion in area 3.2 round consumers identifying COTS/SaaS purposes, as neatly as the occasion that lone cloud architectures may eventually establish themselves because the preeminent 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 lone 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 withhold in intellect what key technologies IBM gets with crimson Hat that they didn’t absorb already got, and why they felt they essential to expend 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 expand 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 define 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 admiration 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 route to spot WebSphere versus JBoss. And as other authors absorb suggested, crimson Hat commercial enterprise Linux (RHEL) may finally supplant AIX as IBM’s de facto UNIX distribution. The connected migration drudgery would presumably pressure a just volume of technology and guide features. Ms. Rometty notable in a lone 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 hiss 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 trade Linux phase. without more data from IBM and pink Hat, it’s in reality rather challenging to quantify the absorb an repercussion on of purple Hat’s Linux and JBoss product units to IBM over the lengthy-time period.

    As mentioned, I hope that IBM and pink Hat will supply better readability on the strategic price-add of the 2 corporations as they circulation into 2019, and the route 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 whirl 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 absorb no positions in any shares mentioned, and no plans to arouse 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 absorb any trade relationship with any trade whose stock is outlined in this article.


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    Honor Magic 2 Announced – Features 7nm Kirin 980 With a Triple Camera Solution at Both Ends Plus a Full-Screen Design | killexams.com real questions and Pass4sure dumps

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

    The phone has a slider to house the three selfie cameras so that the 6.4-inch FHD+ screen OLED parade can achieve a higher screen-to-body ratio, though the number has not been particular by Huawei’s sub-brand. The Kirin 980-powered phone also has an in-display fingerprint scanner. recollection options include 6GB or 8GB of RAM and 128GB, 256GB or 512GB of storage, but the 512GB variant will near next month. The phone packs in a decent 3400mAh battery which could be topped up quickly with Huawei’s super-fast 40W charging technology.

    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 visage unlocking.

    The deference Magic 2 doesn’t absorb a magnetic sliding mechanism fancy the Mi fuse 3, so it remains to be seen which one of the two would be more durable. The phone has a glass carcass and features a Type USB-C port, but the 3.5mm jack has been removed. It also has Huawei’s virtual lieutenant Yoyo.

    Unfortunately, the device will be shipping without expandable storage, which is disappointing as the flagship comes without a 3.5mm audio and advocate for Qi wireless charging. It appears that deference has made a lot of compromises in the smaller features just to withhold up in the design segment. For those that require the best aesthetics will certainly win a kick out of the Magic 2. For others that want the basic functionality to be present might not value the latest handset.

    Unlike the original deference Magic, the follow-up device will be released outside of China too. It is available in gradient Blue, Black, and Red, and the foundation version costs $545. Pre-orders absorb begun, with shipments starting from November 6. If you want the deference Magic 2, you’ll absorb to be patient, as the flagship will be listed at third-party online retailers in the future.

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

    The verity About Tape Backup

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

    Frankly, I am astounded and perturbed by drive 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 unafraid of the potential for losing a lot of data, given the capacities of tape technology today. If a lone 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 maxim that 1-in-10 tapes fail … well, you conclude the math.

    When I asked him if he was experiencing anything fancy the Gartner failure rate, he responded with a confident “No.” If one tape in a thousand went heinous 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 trade case for tape replacement, I offered. He shrugged. Everybody seemed to be poignant from tape to disk, so he was going to follow the pack.

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

    A vendor insider recently told me that Vin Cerf, one of the founders of the Internet, was invited to descry 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 fancy the following: So, I absorb to conclude six hops to trot data to tape, then to restore it from tape and revert it to the application server. Seems fancy 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 each and every for it. I thought there was a lot you could conclude 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 prefer 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 scheme that disk would replace tape. I saw Tier-2 storage as a spot to optimize the consume 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 scheme that the confiscate 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 route 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 insert DDT into a market already dominated by D-to-T. They argued that disk as tape would hurry up backups. You could basically territory 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 rigor 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 absorb the reliability of spindles. This may absorb made sense, too, until you looked into the cost of ownership.

    Now that they absorb a few years of DDT propaganda behind us, I believe they can start a sober discussion of the strategy’s reality. Here are a few significant facts to consider.

    1. The necessity 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 win the backups done in a reasonable term of time. If data volume has grown beyond the time frame available for doing backups, maybe what you necessity to conclude is to glance at the data itself.

    Files are being replicated 8 to 10 times in most companies. Culling out the duplicates lonesome 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 advocate to further segregate what needs to be backed up from what doesn’t. That can dramatically reduce the tribulation on tape resources, since only the data required for regulatory compliance or disaster recovery of mission-critical operations would necessity to be backed up. Data management could also advocate identify stale data, that could be deleted altogether.

    Compressing data before it is sent to tape is another route to reduce the load and ameliorate the efficiency of tape backup processes. glance at what Avamar or Rocksoft or any of the other compression companies can conclude with tall performance algorithms and you win an scheme of what 18 to 1 compression could weigh to your tape solution.

    Bottom line: there is a lot they can conclude to give tape backup greater efficacy, even in 24x7x365 environments and even in the visage of data growth. You don’t necessarily necessity to front finish your tape with disk.

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

    Manufacturers may win 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 expense 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 great labor cost component, primarily for tape-media management. fancy most labor cost centers, however, this one can be adjusted very effectively with the birthright software and services.

    Instead of having folks haul 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 absorb 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 deem that SATA II is not the very 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 touchstone 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 unafraid that they are heading for another litany of plug-fests and interoperability demos resembling those they absorb 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 intent to test every product I can and publish the results so consumers will know which products conform to the standards and which don’t. tarry tuned.)

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


    Tape update: LTO-7 bit oversight rate improves, LTFS consume 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 expand in the data transfer rate to 750 megabytes per second.

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

    Shawn Brume, a trade 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 newfangled LTO-7 specification and adoption trends with the Linear Tape File System (LTFS).

    They pretension 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 oversight rate has improved over previous generations, and that can actually be significant. To the common customer, it may not glance fancy there's been a great difference, but the bit oversight rate drives reliability and availability of data. … Cloud providers hiss they absorb nine nines of availability. ... By poignant to the higher bit oversight rate on tape, they actually trot tape into the availability rate of 12 nines on a lone copy of data when you compute out availability based on bit oversight 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 tarry there forever -- having that availability and that reliability is very important.

    To what degree did the oversight correction code ameliorate in LTO-7 compared to LTO-6?

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

    Brume: The correction codes change every version. The bit oversight 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 routine and the capabilities of the oversight corrections during write and read operations has been significantly improved enough based on coding and the manner in which the algorithms are accelerate to bear that statistical pretension of availability, or should they say, reliability of data.

    They're both great numbers. Is the disagreement significant?

    Brume: They both are significantly great numbers, but the disagreement means the disagreement between writing one petabyte (PB) of data without an oversight 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 oversight rate improvements be meaningful?

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

    When you glance at cloud providers that are offering storage, those CSPs [cloud service providers] necessity a reliable medium. … Google Nearline and Amazon Glacier hiss this is a spot to achieve your data. It will survive forever. Well, those CSPs necessity the lowest cost storage in order to whirl margins. What better route than to achieve it on tape and know that your reliability is three orders of magnitude better than what you can conclude with disk.

    Other consume 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 prefer over a PB of data to conclude each and every 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 quiet don't absorb nearly as much data within cloud as there are on-premise installations, or what they might convene on-premise clouds, for some of these other vendors. But some of the majors within the industry absorb already talked that in their storage infrastructures, they are using tape. … The fact is, tape is more alive even in the latest consume cases -- cloud -- than it's ever been before.

    What kind of traction are you seeing for LTFS?

    Brume: They 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 absorb grown. The necessity for open, non-proprietary standards of the data on tape is really pushing customers to say, "Hey, I necessity a format that's light to use. How can tape advocate me?" And LTFS has been the mighty savior there in that customers glance at it and go, "OK. So what you're telling me is I can view my data fancy it is a file system interface. I can drag and drop. I can conclude adds and deletes and everything I necessity to do, and when I tuck that data away, I don't absorb to withhold the application that wrote the data." That birthright there is a huge savings because they don't absorb to withhold this huge database.

    Loredo: It has grown very great in media and entertainment, but it's going to each and every the different verticals where they absorb a necessity for long-term retention of data, and they absorb great amounts of data. So anything that requires video, fancy video surveillance, medical images, media and entertainment, they're creating huge amounts of data that they necessity to retain for very long periods of time. It's model for these verticals.

    Brume: Does it weigh it's their global standard? No, but I deem a mighty 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 great statement considering that they're one of the largest ingest houses for raw data.

    Have you seen any change in the ultimate year or so in the route that people consume 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 descry 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 absorb to keep.

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

    What are your predictions going forward for tape?

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

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



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