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000-101 Virtualization Technical Support for AIX and Linux

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000-101 exam Dumps Source : Virtualization Technical Support for AIX and Linux

Test Code : 000-101
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Vendor title : IBM
: 95 real Questions

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IBM IBM Virtualization Technical Support

IBM inventory: one of the vital captivating Yields in Tech | killexams.com real Questions and Pass4sure dumps

Even earlier than the contemporary undergo circulate in the markets, overseas business Machines (NYSE:IBM) was already losing steam. but the fall-off in the markets has resulted in essential losses for the year. word that recur on foreign company Machines stock is an depraved -24%.

Yet, this is truly nothing new. over the past five years, the performance has been lackluster. The commonplace annual recur on the IBM inventory fee is -5.7%.

As of now, the market cost of IBM stock is under $100 billion. It’s as if Wall street has thrown in the towel.

besides the fact that children, for cost buyers and contrarians, might there exist an occasion here? Has IBM stock at last hit ranges the belt a buy makes feel? smartly, I account so.

one of the vital main reasons is the proposed acquisition of purple Hat (NYSE:RHT) for $34 billion in cash. It’s really the biggest deal in the enterprise’s 107-12 months historical past. And it feels affection an distinguished fit for the strategic course of IBM — that's, the hybrid cloud market. This contains mixing public and private clouds, which will also exist seamlessly shared. The setup gives for a remarkable deal greater protection and handle. however there's additionally the potential to exhaust the public cloud for information and app overflows.

keep in intellect that the hybrid cloud is whatever that greater groups prefer. It’s pretty much getting the “best of each worlds” of cloud technology.

For IBM, this might even exist an incredible market probability. keep that companies are most efficacious about 10% to twenty% into their cloud event. but this should exist accelerated with the hybrid cloud approach.

And with the crimson Hat acquisition, IBM will turn into the No. 1 player available in the market. pink Hat has collected key technologies affection middleware, virtualization, storage and containers.  despite the fact, the largest knowledge can exist the company’s hub of attention on open supply construction. this is where coders worldwide contribute to the know-how, which helps to Make it more suitable and more advantageous. companies also own the benefit of customization — and this is essential for involved IT environments.

Yet, it’s faultfinding to withhold in intellect that IBM has also establish collectively its personal set of efficacious belongings for the hybrid cloud, akin to with AI (artificial Intelligence), blockchain and safety. The business already has about $19 billion of the hybrid cloud market.

Then there is the IBM Cloud deepest, which launched a 12 months ago. For probably the most part, it has gotten much traction. the brand novel platform has attracted more than 400 international businesses (many of these were competitive wins).

base line on IBM stock

over the years, IBM has fallen in the back of different tech operators affection Alphabet (NASDAQ:GOOGL, NASDAQ:GOOG), Amazon.com (NASDAQ:AMZN) and Microsoft (NASDAQ:MSFT) when it involves the cloud house. however with the purple Hat acquisition, IBM should exist able to Make up for misplaced ground. greater importantly, the deal is massive adequate to circulation the needle on the precise-line.

in the meantime, IBM stock has one of the vital optimum yields in the tech world, at 5.fifty six%. And the business does own the resources to hold the payout. withhold in intellect that IBM continues to generate great free money flows, which own Come to $5.four billion this yr. The business will also suspend stock buybacks and can unload different corporations (one fresh deal turned into a sell off legacy property to India’s HCL).

and finally, the valuation on IBM stock is certainly at alluring levels. coincide with that the forward fee-to-salary diverse is simply about eight.

Now it’s real that discovering the bottom on IBM stock has been a dropping video game. however, then once more, in light of the very most economical valuation, a juicy dividend yield and the potential yeast from the crimson Hat deal, the shares definitely sequel issue to exist they're at a remarkable entry factor at this time.

Tom Taulli is the writer of excessive-earnings IPO ideas, All About Commodities and All About short promoting. follow him on Twitter at @ttaulli. As of this writing, he did not hang a belt in any of the aforementioned securities.


: internal IBM’s facts virtualization, data far and wide manner | killexams.com real Questions and Pass4sure dumps

information virtualization has been one in every of IBM Corp.’s basic considerations seeing that pink Hat Inc.’s OpenShift open-supply container software platform received steam across the trade. essentially, the aggregate of OpenShift and IBM’s Cloud deepest business-grade inner most cloud platform resulted in massive Blue’s expansive stream to the hybrid cloud.

In doing so, IBM turned into able to consist of facts virtualization throughout the Cloud private for facts platform, subsequently producing a robust relationship between facts science and synthetic intelligence, in line with Daniel Hernandez (pictured), vice chairman of IBM Analytics.

Hernandez spoke with Dave Vellante (@dvellante), host of theCUBE, SiliconANGLE Media’s cellular livestreaming studio, prerogative through IBM exchange the video game — winning With AI taste in NYC. They mentioned how IBM is providing a single-integrated platform through its Cloud inner most for statistics platform, in addition to how that swap to the hybrid cloud has impacted customer facts and IBM in well-known. (* Disclosure below.)

[Editor’s note: The following answers own been condensed for clarity.]

provide us the update on momentum for your business.

Hernandez: So when they ultimate talked they were simply introducing something referred to as IBM Cloud deepest for records. The basic concept is anyone that wishes to sequel facts science, facts engineering, or pile apps with records any place, we’re going to supply them a single built-in platform to collect that performed. It’s going to exist the premier, superior strategy to sequel these jobs.

We had [Hortonworks CEO] Rob Beerden on their program, and he talked plenty about the IBM, pink Hat and Hortonworks relationship. certainly, they mentioned it on their salary title and there seems to exist a transparent momentum in the market. however give us your perspective on that announcement. What precisely is every bit of of it about?

Hernandez: You evanesce back to June final year; they entered prerogative into a relationship with Hortonworks where the fundamental premise changed into consumers care about statistics and any facts-driven initiative became going to require records science. The other constituent of that become we’re going to deliver their information science and computing device gaining knowledge of tools and runtimes to the belt the records is, together with Hadoop. That’s been a convincing success. The subsequent step up is how can they proliferate that single built-in stack far and wide, together with inner most cloud or preferred clouds affection OpenShift.

So there were two facets of the announcement. They did the hybrid cloud architecture initiative, which is taking the Hadoop data stack and bringing it to containers and Kubernetes. And the different turned into we’re going to carry that entire stack onto OpenShift. So, on IBM’s side, with IBM Cloud deepest for facts, they are driving certification of that whole stack on OpenShift so any consumer that’s having a wager on OpenShift as their cloud infrastructure can improvement from that and the single built-in information stack.

all and sundry’s speakme about containers, Kubernetes and multicloud. those are the sizzling tendencies. I presuppose you’ve viewed the identical element?

Hernandez: 100%. If information is essential for you, you superior dash your information analytic stack wherever you deserve to, and that capability multicloud by definition. so you’ve acquired a call. that you can say, i will exist able to port that workload to each discrete programming mannequin and records stack or you can own a data stack far and wide, together with multiclouds and Open Shift during this case.

The cloud, whether it’s on-prem or within the public cloud, expands now to the facet; you’ve also obtained this conception of statistics virtualization. What’s every bit of of it about?

Hernandez: data virtualization has been happening for a long time. Its simple intent is to support you entry statistics via anything tools, no depend the belt the statistics is.

typical techniques to statistics virtualization are relatively limiting. so that they work quite neatly in case you’ve acquired small statistics units. however if you’ve obtained highly fragmented statistics, which is the case in very nearly each enterprise that exists, loads of the undermined know-how for information virtualization breaks down.  

We’ve been incubating know-how below this venture codenamed Queryplex. It became relatively clear that this is a game-changing formulation for facts virtualization that lets you oblige the advantages of getting access to your records at any belt it is, pushing down queries the belt the facts is and getting advantages of that via a particularly fragmented records panorama. And so what we’ve done is consume that extremely innovated subsequent-generation information virtualization expertise, consist of it in their records platform, called IBM Cloud deepest for records, and made it a distinguished office inner of that.

So what’s the key sauce of Queryplex and information virtualization? How does it every bit of work? What’s the tech behind it?

Hernandez: Technically, as an alternative of information coming and getting funneled through one node. in case you ever feel of your statistics as form of a graph of computational statistics nodes, what Queryplex does is consume abilities of that computational mesh to sequel queries and analytics. It distributes out that workload. A low computing combination, it’s probably going to exist better than whatever thing you can establish into that single node.

and how sequel valued clientele access these features? How long does it take? They collect this capability as portion of what?

Hernandez: it might seem affection a standard query interface to them. So here is every bit of magic in the back of the scenes — IBM’s Cloud deepest for records. It’s going to exist a function, so this assignment Queryplex is delivered as subsequent-generation facts virtualization know-how, which simply becomes portion of IBM Cloud inner most for information.

will they talk about the enterprise influence of Queryplex and records virtualization?

Hernandez: better economics. You don’t ought to sequel ETL in this particular case. So statistics at relaxation [is] getting consumed as a result of this online technology. Two, efficiency. because of the way this works, you’re basically going to collect faster response instances. [And] three, you’re going to exist in a position to question more information comfortably as a result of this know-how permits you to entry your entire statistics in a fragmented manner with no requisite to consolidate it.

Now [that] the dialog has moved to AI, your strategies about where that innovation is coming from and what the competencies is for valued clientele?

Hernandez: You requisite facts; you want algorithms; you requisite to compute. And bringing those together are exactly the compund that you simply deserve to implement on any AI device. You own already got data and computational grids prerogative here. You’ve got algorithms bringing them collectively and solving some hardship that concerns to a customer; [it] is the herbal subsequent step.

adequate, let’s dispute Stack Overflow. Why Stack Overflow; you’re targeting developers? 

Hernandez: So as an alternative of getting a discrete neighborhood for AI that’s focused on AI machine developers, why no longer bring the synthetic intelligence group to the belt the builders already are, which is Stack Overflow. So, if you evanesce to AI.stackexchange.com, it’s going to exist the belt that you should evanesce to collect your entire answers to any query around ersatz intelligence and, of course, IBM goes to exist there in the neighborhood assisting out.

Watch the finished video interview beneath, and exist sure to consume a gawk at more of SiliconANGLE’s and theCUBE’s insurance of IBM trade the video game — successful With AI experience. (* Disclosure: TheCUBE is a paid media ally for the IBM change the video game — successful With AI event. Neither IBM, the adventure sponsor, nor different sponsors own editorial handle over content material on theCUBE or SiliconANGLE.)

photo: SiliconANGLE since you’re prerogative here … … We’d affection to let you know about their mission and the way which you could support us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is in keeping with the intrinsic value of the content, now not advertising. in contrast to many on-line publications, they don’t own a paywall or dash banner promoting, as a result of they are looking to preserve their journalism open, without own an sequel on or the should chase site visitors.

The journalism, reporting and commentary on SiliconANGLE — together with live, unscripted video from their Silicon Valley studio and globe-trotting video groups at theCUBE — consume loads of difficult work, time and money. conserving the first-rate inordinate requires the support of sponsors who are aligned with their vision of advert-free journalism content.

if you just affection the reporting, video interviews and different ad-free content material here, please consume a second to consume a gawk at a sample of the video content material supported by way of their sponsors, tweet your aid, and maintain coming back to SiliconANGLE.


How IBM became the primary Server enterprise to assist VMware | killexams.com real Questions and Pass4sure dumps

In-Depth

How IBM grew to exist the first Server company to assist VMware

all of it started when commonplace founder Mendel Rosenblum spoke with Sequent laptop methods about his ideas.

At VMware's 20th anniversary event, Pat Gelsinger, the present CEO of VMware, invited one of the most company's usual founders to the stage for some mp;A. a person from the audience asked Mendel Rosenblum about the origins of VMware, and Mendel pointed out that it every bit of started when he spoke with Sequent computing device systems about his ideas. This caught my attention as a result of I used to work for Sequent laptop systems and that i had not ever heard about a connection between VMware and Sequent. Intrigued, I decided to gawk into the anecdote a bit deeper, and i ended up studying how IBM grew to become the first server enterprise to assist VMware.

For those unfamiliar, Sequent laptop techniques (1983-1999) designed and constructed high-efficiency symmetric multiprocessing (SMP) that used NUMA architecture on Intel processors, which were in particular used to dash tremendous databases. Sequent was a remarkable enterprise to work for.

I reached out to Mendel to await him for greater assistance about his visit to Sequent. He kindly spoke back and informed me that he changed into engaged on scalable OSes for expansive multiprocessors and he went up to Beaverton, Ore., and gave a talk at Sequent on his ideas. although the technical individuals at Sequent appreciated the method, they doubted they'd the engineering elements to establish in oblige it. furthermore, they mentioned that they vital their servers to dash home windows NT, and that they were not going to exist capable of collect Microsoft to adopt the strategy Mendel was proposing. in line with this comments, Mendel began pondering virtualization as an answer.

Now let's skip ahead just a few years to 1999 when IBM purchased Sequent. The is still of Sequent own been very useful to VMware when it got here out with ESX. IBM took Sequent and started to construct really great x86 machines, however discovered that the marketplace for these techniques was slightly confined. You own to realize that again in that day Linux changed into nonetheless in its infancy and didn't scale that well. additionally, windows NT become the home windows server of option, however blue screens had been a truth of actuality and no one become going to dash their whole datacenter on a single instance of an OS; the optimal apply became to own one utility working on a single server operating a single OS.

The individuals at IBM figured that in the event that they ran VMware on these expansive servers, they might own diverse, remoted instances of OSes running on these great containers and it could enormously boost the market for these servers. This led to them to associate with VMware and tender server consolidation, which ended up working well for either side. by the way, what became regarded a really great server in 1998, akin to Sequent's NUMA-Q, had eight 200 MHz Pentium pro processors, 0.5GB of RAM, and a 65GB hard-disk-pressure subsystem. Pricing for an eight-means NUMA-Q outfit every bit of started at $675,000 (for concerning the same processing vigor and storage capacity as a low-end computer these days).

after I spoke with Eric Horschman (a longtime VMware product advertising employee) about this backstory, he spoke of that it explains why IBM changed into the primary server dealer to assist VMware. The other server companies own been stupefied away by way of considerations about server consolidation chopping into their sales. eventually different agencies, comparable to HP, Compaq and Dell, among others, organize out that virtualization helped them promote their excessive-end packing containers that were ecocnomic, in order that they may collect faraway from promoting low-margin pizza boxes that had been regularly occurring on the time.

and that is the anecdote of how and why IBM grew to become the first server business to embolden VMware.

about the creator

Tom Fenton works in VMware's training department as a Senior path Developer. He has a wealth of hands-on IT event gained over the past twenty years in numerous applied sciences, with the past 10 years focused on virtualization and storage. before re-joining VMware, Tom changed into a Senior Validation Engineer with The Taneja community, had been he headed their Validation carrier Lab and become instrumental in commencing its vSphere virtual Volumes practice. he is on Twitter @vDoppler.


000-101 Virtualization Technical Support for AIX and Linux

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Unix to Linux migration considerations: Clustering, virtualization, support and more | killexams.com real questions and Pass4sure dumps

Look at the expansive picture when evaluating and planning a hurry from Unix to Linux. Of course, your team needs to know how to sequel the tasks involved, from programming to porting, but these are the means to your goal of infrastructure improvement. The key word is infrastructure, so let's gawk at key Linux infrastructure pile blocks and considerations, including clustering, data types, virtualization and support.

When clustering your Unix servers, one usually thinks of high-availability. In the Unix world, this comes with a price. Whether you are using VERITAS for your Sun servers, HACMP for IBM or HP Serviceguard for your HP Unix servers, they are every bit of very proprietary and Come with a hefty price. With Linux, there are many open source solutions available to you. One case of this is the High-Availability Linux project, which provides clustering solutions for Linux. While some of the Unix clustering solutions also tender Linux solutions (IBM's HACMP only recently), staying on the same clustering platform in a sense defeats some of the objectives of pitiable to Linux in the first place, which is pitiable towards open source and away from proprietary systems.

Another distinguished factor is understanding the faultfinding differences between the source and target systems, particularly when pitiable from 32- to 64-bit environments and vice-versa. The three expansive issues here are Endianess (byte-ordering), contrast in data type lengths and data alignment differences in the architecture. You must study these issues in remarkable detail. Endianness refers to how a data constituent and its individual bytes are stored and addressed in memory. Byte-ordering issues are often encountered by developers during the process of migrating applications, device drivers or data files from 64-bit RISC architecture's to the x86 architecture of Linux running on a PC. Of course, if you are going to dash Linux on a RISC system such as the IBM System p platform, you won't own this issue when migrating from IBM's Unix, AIX, as you'll exist staying on the same hardware platforms.

Virtualization is another distinguished factor. When pitiable to Linux, you will not exist using the same virtualization systems you own grown accustomed to in the Unix world. Red Hat offers Xen in their novel release of RHEL5, and so does SUSE. Sun has many different types of virtualization offerings as does HP, while IBM offers Advanced Power Virtualization on their Unix servers. The only way you might exist able to withhold the same virtualization system, would exist to stay on the same hardware platform (I.E. IBM System p), which is not always on option, as many organizations gawk to migrate away from Unix to hurry towards horizontally scaling clustered PCs.

Finally, support is another distinguished factor. As a Unix user, you may exist accustomed to round-the-clock support from your hardware vendor. Things work a cramped differently with Linux. Unless you've signed a deal with your hardware vendor to provide Linux support for your systems running on their hardware, you will requisite to exist more self-sufficient. This is not necessarily a depraved thing, as Linux encourages collaboration, research and innovation. As a common rule (though this is changing, with increased support by hardware and software vendors, including Oracle for Linux), you will requisite to sequel more on your own, so exist prepared.


Containerization vs Virtualization – An introduction to Docker | killexams.com real questions and Pass4sure dumps

September 14, 2015 Pethuru Raj, Jeeva S. Chelladhurai, Vinod Singh

This introduction to Docker is taken from the Packt title Learning Docker. JAXenter readers can collect a 50% discount using the following code: LEDOC50

Due to its overwhelming usage across industry verticals, the IT domain has been stuffed with many novel and pathbreaking technologies used not only for bringing in more decisive automation but also for overcoming existing complexities. Virtualization has set the goal of bringing forth IT infrastructure optimization and portability. However, virtualization technology has serious drawbacks, such as performance degradation due to the heavyweight nature of virtual machines(VM), the requisite of application portability, slowness in provisioning of IT resources, and so on. Therefore, the IT industry has been steadily embarking on a Docker-inspired containerization journey. The Docker initiative has been specifically designed for making the containerization paradigm easier to grasp and use. Docker enables the containerization process to exist accomplished in a risk-free and accelerated fashion.

Precisely speaking, Docker is an open source containerization engine, which automates the packaging, shipping, and deployment of any software applications that are presented as lightweight, portable, and self-sufficient containers, that will dash virtually anywhere.

A Docker container is a software bucket comprising everything necessary to dash the software independently. There can exist multiple Docker containers in a single machine and containers are completely isolated from one another as well as from the host machine.

In other words, a Docker container includes a software component along with every bit of of its dependencies (binaries, libraries, configuration files, scripts, jars, and so on). Therefore, the Docker containers could exist fluently dash on x64 Linux kernel supporting namespaces, control groups, and file systems, such as Another Union File System (AUFS). However, there are pragmatic workarounds for running Docker on other mainstream operating systems, such as Windows, Mac, and so on. The Docker container has its own process space and network interface. It can also dash things as root, and own its own /sbin/init, which can exist different from the host machines’.

In a nutshell, the Docker solution lets us quickly assemble composite, enterprise-scale, and business-critical applications. For doing this, they can exhaust different and distributed software components: Containers purge the friction that comes with shipping code to faraway locations. Docker also lets us test the code and then deploy it in production as rapid as possible. The Docker solution primarily consists of the following components:

  • The Docker engine
  • The Docker Hub
  • The Docker engine is for enabling the realization of purpose-specific as well as generic Docker containers. The Docker Hub is a fast-growing repository of the Docker images that can exist combined in different ways for producing publicly findable, network-accessible, and widely usable containers.

    Docker on Linux docker on linux

    Figure 1: Docker on Linux

    Suppose that they want to directly dash the containers on a Linux machine. The Docker engine produces, monitors, and manages multiple containers as illustrated in device 1.

    This illustration vividly illustrates how future IT systems would own hundreds of application-aware containers, which would innately exist capable of facilitating their seamless integration and orchestration for deriving modular applications (business, social, mobile, analytical, and embedded solutions). These contained applications could fluently dash on converged, federated, virtualized, shared, dedicated, and automated infrastructures.

    Containerization vs Virtualization

    It is pertinent, and paramount to extract and expound the game-changing advantages of the Docker-inspired containerization movement over the widely used and fully matured virtualization paradigm. In the containerization paradigm, strategically sound optimizations own been accomplished through a few crucial and well-defined rationalizations and the insightful sharing of the compute resources. Some of the inborn and hitherto underutilized capabilities of the Linux kernel own been rediscovered. These capabilities own been rewarded for bringing in much-wanted automation and acceleration, which will enable the fledgling containerization opinion to reach greater heights in the days ahead, especially those of the cloud era.

    containers virtual

    Figure 2: Containerization vs Virtualization

    The noteworthy business and technical advantages of these involve the bare metal-scale performance, real-time scalability, higher availability, and so on. every bit of the unwanted bulges and flab are being sagaciously eliminated to speed up the roll-out of hundreds of application containers in seconds and to reduce the time taken for marketing and valuing in a cost-effective fashion. The following diagram (figure 2) on the left-hand side depicts the virtualization aspect, whereas the diagram on the right-hand side vividly illustrates the simplifications that are being achieved in the containers.

    The following table gives a direct comparison between virtual machines and containers:

    docker table

    The convergence of containerization and virtualization

    A hybrid model, having features from both the virtual machines and that of containers, is being developed. It is the emergence of system containers, as illustrated in the preceding right-hand-side diagram. Traditional hypervisors, which implicitly limn hardware virtualization, directly secure the environment with the embolden of the server hardware. That is, VMs are completely isolated from the other VMs as well as from the underlying system. But for containers, this isolation happens at the process level and hence, they are liable for any benign of security incursion. Furthermore, some vital features that are available in the VMs are not available in the containers. For instance, there is no support for SSH, TTY, and the other security functionalities in the containers.

    On the other hand, VMs are resource-hungry and hence, their performance gets substantially degraded. Indeed, in containerization parlance, the overhead of a classic hypervisor and a guest operating system will exist eliminated to achieve bare metal performance. Therefore, a few VMs can exist provisioned and made available to work on a single machine. Thus, on one hand, they own the fully isolated VMs with unprejudiced performance and on the other side, they own the containers that requisite some of the key features, but are blessed with high performance.

    Having understood the ensuing needs, product vendors are working on system containers. The objective of this novel initiative is to provide full system containers with the performance that you would await from bare metal servers, but with the taste of virtual machines. The system containers in the preceding right-hand-side diagram limn the convergence of two distinguished concepts (virtualization and containerization) for smarter IT. They will hear and read more about this blending in the future.

    Containerization technologies

    Having recognized the role and the relevance of the containerization paradigm for IT infrastructure augmentation and acceleration, a few technologies that leverage the unique and decisive impacts of the containerization opinion own Come into actuality and they own been enumerated as follows:


    Ubuntu 15.04 Launches With Support For OpenStack Kilo, novel LXD Hypervisor And Snappy Core | killexams.com real questions and Pass4sure dumps

    Canonical today announced that the next version of Ubuntu,  target="_blank" href="http://releases.ubuntu.com/15.04/">15.04 Vivid Vervet, will exist available for download on Thursday. This release introduces a brace of novel features for desktop users, but most of the distinguished updates hub around server deployments.

    It’s no covert that Ubuntu has establish quite a bit of its muscle behind the open source OpenStack cloud computing platform, and this latest release comes with a pre-release version of the next version of OpenStack, which is scheduled for release on April 30. Among other things, this upcoming “Kilo” release of OpenStack features updates to the platform’s network stack and identity federation service.

    lxd_takeoverThis update also introduces Canonical’s LXD (Linux Container Daemon) hypervisor for container deployments (which also works with OpenStack). This novel hypervisor, which the company announced around the last OpenStack Summit in Paris last November, builds on Ubuntu’s LXC project, which also forms the basis of Docker and its container technology.

    Canonical argues that LXD lets you “take all the speed and efficiency of Docker and turn it into a full virtualisation experience.”

    Essentially, LXD aims to give developers access to the both of the old-school virtualization experience and containers. While the early reaction to LXD made it seem affection a competitor to Docker, LXD can also exist used to dash Docker containers, so the competition will exist more about developer intellect share and container management tools than the container architecture itself.

    This novel version of Ubuntu is also the first one to tender a stable version of Canonical’s Snappy Ubuntu Core, the company’s stripped-down version of its operating system for container hosts and small connected devices. You can read more about Snappy in their earlier coverage here.



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