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C2030-283 - Foundations of IBM Cloud Computing Architecture V3 - Dump Information

Vendor : IBM
Exam Code : C2030-283
Exam Name : Foundations of IBM Cloud Computing Architecture V3
Questions and Answers : 39 Q & A
Updated On : February 20, 2019
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C2030-283 Questions and Answers

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C2030-283 Foundations of IBM Cloud Computing Architecture V3

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C2030-283 exam Dumps Source : Foundations of IBM Cloud Computing Architecture V3

Test Code : C2030-283
Test Name : Foundations of IBM Cloud Computing Architecture V3
Vendor Name : IBM
Q&A : 39 Real Questions

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IBM Foundations of IBM Cloud

IBM and institution of Chicago Collaborate to improve Quantum Computing | Real Questions and Pass4sure dumps

Jan. 29, 2019 — a new analysis collaboration between the Enabling purposeful-Scale Quantum Computing (EPiQC) mission led with the aid of the college of Chicago and IBM will assist deliver the promising future of quantum computing nearer to the present through sharing substances and practicing the next technology of quantum computer scientists.

EPiQC is a multi-institutional effort led by researchers at the UChicago department of computer Science and funded via the national Science foundation with the aim of shortening the timeline to purposeful quantum computing. via concentrated on utility to certain technologies, EPiQC will vastly reduce the size and reliability necessary for quantum machines to run constructive programs.

via this collaboration, EPiQC will collaborate with the IBM quantum computing initiative, IBM Q, on new application that optimizes IBM’s superconducting quantum expertise. EPiQC researchers will receive precedence analysis entry to IBM Q applied sciences and information to advance and check new quantum application techniques.

“Quantum hardware is advancing rapidly, but quantum utility should be critical to efficiently the use of that expertise and realizing the knowledge of quantum methods in chemistry, physics, and different fields,” talked about Fred Chong, Seymour Goodman Professor of laptop Science at UChicago and lead PI for EPiQC. “Our collaboration with IBM Q is precisely the category of academic-industry collaboration that may be fundamental to attain the quantum period of computing as right away as possible.”

through its open cloud-primarily based IBM Q event, launched over two years ago, and its quantum tips science package (Qiskit), IBM allows for any one on this planet to experiment the use of their exact quantum computing hardware. Over a hundred thirty+ analysis papers authored by means of non-IBM third-birthday celebration scientists had been posted the use of these equipment. IBM also established the IBM Q network in 2017, the primary initiative to construct commercially accessible common quantum computers for company and science.

“Qiskit and EPiQC application may be the basis of future quantum know-how”, pointed out  Jay Gambetta, IBM Fellow. “Getting students and academics working with business against these equipment will permit us to discover the total knowledge of noisy intermediate-scale quantum computer systems.”

experts predict that quantum computer systems will finally operate complicated calculations in chemistry, cryptography, and different fields which are prohibitively gradual or even unattainable for classical computer systems. Yet a significant hole remains between the capabilities of these days’s quantum technologies and the algorithms proposed by means of computational theorists. Connecting both would require no longer simplest greater effective machines — as measured in qubits, the primary unit of a quantum laptop — but a full application “stack” that makes it possible for laptop programmers to handle quantum hardware and use it to solve complex issues.

EPiQC unites researchers from UChicago, MIT, Princeton, Duke and the school of California at Santa Barbara for the co-design of the hardware, utility and algorithms crucial to shut this gap. As part of that effort, EPiQC will work with trade partners comparable to IBM to boost and share new research equipment. In June 2019, EPiQC will convene a quantum computing industry summit as a part of the ACM Federated analysis Computing convention in Phoenix.

EPiQC and IBM have already collaborated on full-stack application infrastructure that is purchasable as a part of the Qiskit package, which attendees ran on the IBM Q experience at two contemporary EPIQC quantum computing tutorials. Future initiatives will use testbed access to IBM quantum machines and efficiency statistics to enhance new application methods that optimize quantum purposes to run on fewer qubits. The analysis collaboration will additionally aid UChicago schooling and outreach efforts to instruct younger desktop scientists in quantum techniques.

“This collaboration is extremely good for college students, as a result of they're going to gain broader publicity to industry and work carefully with IBM researchers,” Chong referred to. “tutorial-trade connections will aid put together our workforce for a wholly new branch of computing device science and accelerate the pace of quantum computing design and applications.”

source: IBM

right 10 factors to opt for IBM Cloud for VMware solutions | Real Questions and Pass4sure dumps

In 2016, VMware and IBM entered right into a strategic partnership to supply valued clientele with access to a turnkey, native VMware atmosphere in IBM Cloud’s statistics facilities (determined on every continent backyard of Antarctica!). VMware customers are able to “lift and shift”—and finally, transform —their environments on-premises onto the IBM Cloud devoid of wanting to refactor their purposes and workloads. over the last two years, we have created a few exciting solutions for VMware workloads, and i need to spotlight the most compelling cost propositions.

  1) Hypervisor and full administrator entry

VMware options on IBM Cloud provides purchasers with full naked steel and hypervisor entry and entire administrative access to vCenter, PSC, NSX, and any add-on carrier. shoppers deploying their VMware environment in IBM Cloud possess the same manage, security, and functionality as they do with their on-premise atmosphere. We provide a totally native VMware ambiance, requiring no alterations to current tooling or strategies. The best change is that it's consumed in a Cloud model.

  2) distinctive SDDC configurations and hardware options

We remember purchasers have diverse requirements, and we embedded flexibility into our solution. shoppers have the option of two automated software-described records center (SDDC) configurations—VMware vCenter Server (VCS) and VMware Cloud foundation (VCF)—that are immediately provisioned in hours at facts centers all over the world. inside VCS and VCF, valued clientele can tailor the environment to their workloads as a result of we offer six distinct compute alternatives, 9 RAM options, and two storage varieties (vSAN and NFS), offering over 200 distinct choices.

  three) numerous storage alternatives

Some workloads run superior on distinct storage kinds, so we wanted to deliver robustness and selection to ensure that we deployed the optimized storage for the valued clientele’ workloads and purposes. purchasers can select vSAN All-Flash, patience File Storage, and NetApp ONTAP choose. clients drinking Veeam and IBM Spectrum offer protection to Plus (our backup solutions) will soon be capable of use IBM Cloud Object Storage.

  four) protection and compliance

Recognizing that safety is without doubt one of the biggest motives for hesitation in Cloud adoption, we designed our VCS and VCF solutions to alleviate these considerations. Our VCS and VCF are hosted on single, dedicated environments, which eliminates the “noisy neighbor” impact and statistics corruptions from other tenants. Our VMware hardware attestation to the chipset making certain workloads run on depended on servers with function-based access, as well as Intel TXT that provides encryption on the chip-degree. VCS and VCF additionally integrate trade-leading security options, such as Intel/HyTrust, F5, and Fortinet. HyTrust provides facts sovereignty and encryption, F5 makes it possible for gateway load balancing and uniform security guidelines, and Fortinet makes it possible for consistent security policies between on-premise and IBM Cloud. With access to the hypervisor and bare metallic, valued clientele can be sure the technical, business, and personnel controls which are in location aid meet compliance and auditing requirements.

  5) company continuity and excessive availability

customers are expecting uptime 24/7/365, and with the starting to be threats of cyber assaults and herbal failures, conserving uptime has become essential. We admire that having a resiliency method is now a necessity. VMware solutions on IBM Cloud has three resiliency tools—Zerto (disaster healing), Veeam (disaster restoration and backup), and IBM Spectrum give protection to Plus (backup)—that allow customers to reduce downtime. These choices are hypervisor-based mostly options. through exposing our hypervisor, shoppers have entry to the native superior elements and functionalities of these options. IBM Resiliency provides managed functions for Veeam and Zerto. With our fresh announcement of VMware for Mission important Workloads, we give customers with high availability inside a data core vicinity with an SLA of 99.99% uptime.

  6) network backbone and geographic reach

VMware options for IBM Cloud is accessible at 50+ information centers global. as soon as a client has deployed an ambiance within the IBM Cloud, they could at ease via our private network spine and replicate and migrate their workloads to other IBM Cloud information facilities at no cost. Our unmetered private worldwide community backbone allows for unmatched connectivity as users can quite simply migrate workloads between their deployed environments. for example, you probably have a creation atmosphere and a backup ambiance in an extra information center, the every day/weekly price of alternate could be fully free, saving you a major can charge.

  7) Migration made effortless

We mixed our VMware vCenter Server (VCS) and VMware Hybrid Cloud Extension (HCX) in VMware vCenter Server with Hybridity Bundle, permitting customers to get the flexibleness of VCS and the migration capabilities of HCX. HCX makes it possible for customers to create an abstraction layer so that you can enable them emigrate and modernize their on-premise atmosphere to the cloud without changing IP or MAC addresses. We produce other migration tools, akin to Zerto and NSX, which permit the shoppers to opt for a migration answer that matches their workloads top of the line. in order for you tips with migration, IBM Migration manufacturing unit offers a carrier where we work onsite to design, plan, and migrate your ambiance into the cloud.

  8) VMware talents

IBM and VMware had been companions for decades, and all over the years, IBM has cultivated huge abilities on VMware. we have over 1,000 VMware certified gurus and business partners who can supply managed functions for VMware answer in IBM Cloud if a consumer prefers to have their VMware environment managed. IBM Cloud changed into first to market delivering a VMware Cloud foundation in the Cloud, and IBM Cloud become these days awarded the VMware 2017 partner of the 12 months Award, highlighting our VMware abilities and innovation.

  9) Modernize apps to speed up innovation

Many companies trying to leverage cloud can now “carry and radically change” their heritage functions and speed up innovation via migrating those applications to the cloud and lengthening them into new public cloud services. Leveraging IBM Cloud private and IBM functions to re-architect or partially refactor heritage functions, valued clientele can containerize stateless apps with microservices and maintain stateful portions of their workloads in VMware. during the modernization and transformation method, customers get a path to cloud-native applications with DevOps, Microservices, Containers, and a good deal extra.

10) Leverage and optimize investment in IBM Middleware

Many corporations use IBM Middleware items, akin to WebSphere and API join, that may have Mission critical equipment of checklist on varied on-premise systems. valued clientele can flow those information into the IBM Cloud, featuring new ranges of insights and improvements, with the aid of leveraging IBM’s gigantic array of PaaS capabilities, akin to Watson AI, IoT, Analytics, WebSphere as a service, and many more.

VMware solutions on IBM Cloud gives an extension of the consumers’ on-premise VMware workloads in a flexible and saleable cloud mannequin.

read IT ON IBM 

forget Oracle, IBM Is a stronger value stock | Real Questions and Pass4sure dumps

Some buyers see lots of value in Oracle (NYSE: ORCL) shares. The database-software large's own management, for one, currently called it "an brilliant purchase" and authorized yet another $10 billion of stock buybacks.

it's no longer always incorrect, however you shouldn't have to appear too far afield to find a stronger price inventory within the tech sector. at this time, it be difficult to beat the long-time period value you're going to get from IBM (NYSE: IBM) shares.

A stack of cash, topped with a bundle of rolled-up $10 bills. there is a shadow of this association on the wall behind it that looks like a rocket in flight.


picture source: Getty pictures.

Oracle's story

Oracle is a former titan of business on its means down. a brand new breed of database structures has arrived, challenging not simplest Oracle's enterprise model but additionally the technical foundations of its flagship product line. the long run belongs to so-known as NoSQL databases, that could arrange and manipulate unstructured facts at a scale and velocity it's absolutely alien to Oracle-vogue relational databases.

Even Oracle is aware of it and is enjoying seize-up with its own cloud-based NoSQL platform. but it's too little, too late, and Oracle comes with the wrong kind of street cred to pull off that transformation.

IBM's story

IBM discovered itself in the same situation 5 years ago. Ex-CEO Sam Palmisano had pulled huge Blue up with the aid of its bootstraps, making a celebrated company mannequin the place one enterprise provided the entire hardware, software, and linked features it might take to run a successful IT operation at commercial enterprise scale. Oracle become one of the many would-be IBM clones that attempted to replica Palmisano's magnificent template.

however markets trade, and companies like IBM and Oracle need to change together with the ambiance if they need to reside valuable and a success. huge Blue's present CEO Ginni Rometty stepped in with a transparent imaginative and prescient of dramatic market changes and a mandate to do something turned into indispensable to live abreast with the new instances. Rometty did not simply follow that alternate but started spearheading the change right away.

Half-a-decade later, cloud computing is the buzzword of choice across the entire IT trade; this is exactly where Rometty became aiming all alongside. The business has sacrificed billions of bucks in annual revenues by way of shedding old-fashioned computing-hardware gadgets to refocus on cloud-based records analytics and management. artificial intelligence performs a big half in IBM's new method. So does company mobility, and the enterprise is a leading provider of blockchain applied sciences for corporate customers.

if you're enjoying buzzword bingo at domestic, your gaming card need to be relatively full via now. that is fine. As I pointed out, IBM is riding lots of these tendencies as opposed to simply following along.

These so-referred to as strategic imperatives accounted for greater than half of IBM's complete sales in 2018 and should most effective continue to outgrow the ultimate legacy operations over time. We're a hockey-stick moment for IBM's lengthy-time period profits increase, the place the annual increases should still start stacking up very right now after just a few years of falling revenue. The equal traits should also expand IBM's profit margins over the following few years.

The upshot: huge Blue is successful -- and the inventory is low priced!

IBM's radical approach shift has been tough on its stock fees. Its shares have lost 24% of their cost over the ultimate five years, or a less hair-elevating 9% in case you account for its generous dividend payouts alongside the style. these days, IBM shares are buying and selling at simply 9.5 times forward income and 12 times trailing free money flows. it truly is an excellent discount for a protracted-operating turnaround story that's bouncing off the rock-bottom deep conclusion of a five-yr trough.

Story continues

Glancing over at Oracle, I see a company struggling to keep up with the altering markets rather than environment the tone for a new period. Its shares are buying and selling for 14 instances forward earnings and 16.6 times trailing money flows. You just can not persuade me that Oracle's shares are a better buy than IBM's right now.

extra From The Motley fool

Anders Bylund owns shares of IBM. The Motley fool owns shares of Oracle. The Motley idiot is short shares of IBM and has here alternate options: lengthy January 2020 $30 calls on Oracle. The Motley fool has a disclosure policy.

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Foundations of IBM Cloud Computing Architecture V3

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IBM Research Ai Hardware Center to Drive Next-Generation AI Chips | real questions and Pass4sure dumps

An IBM chip comprising several Analog AI devices used for in-memory computing.

Today IBM announced an ambitious plan to create a global research hub to develop next-generation AI hardware and expand their joint research efforts in nanotechnology. As part of a $3 billion commitment, the IBM Research AI Hardware Center will be the nucleus of a new ecosystem of research and commercial partners collaborating with IBM researchers to further accelerate the development of AI-optimized hardware innovations.

IBM headquarters for the AI Hardware Center will be on the SUNY Polytechnic campus in Albany, New York, and the Center will advance a range of technologies from chip-level devices, materials and architecture to the software supporting AI workloads. These efforts will push the limits of chip technology needed to meet the emerging demands of cloud computing, Big Data, and cognitive computing systems.

The groundbreaking work that these engineers will conduct at SUNY Polytechnic Institute reflects IBM’s long-term commitment to inventing the future of microelectronics,” said Dr. John Kelly, Senior Vice President, Solutions Portfolio and Research at IBM. “The IBMers working at SUNY Poly possess unique skills and capabilities, positioning our company to drive development of the next generation of chips and to fuel a new era of computing.”

IBM Research AI Hardware Center is developing a roadmap for 1,000x improvement in AI compute performance efficiency over the next decade, with a pipeline of Digital AI Cores and Analog AI Cores.

The $3 billion investment that IBM announced in July 2014 focuses on the development of basic materials science to make it possible to shrink semiconductors to 7 nanometers and beyond, as well as support research into completely new areas beyond traditional silicon architectures, such as synaptic computing, quantum devices, carbon nanotubes, and photonics, that could transform computing of all kinds.

Partnerships within an open ecosystem are key to advancing hardware and software innovation that are the foundation of AI. New IBM Research AI Hardware Center partnerships announced today will aid in those continuing efforts. Samsung is a strategic IBM partner in both manufacturing and research. Mellanox Technologies is a leading supplier of high-performance, end-to-end smart interconnect solutions that accelerate many of the world’s leading AI and machine learning platforms. Synopsys is the leader in software platforms, emulation and prototyping solutions, and IP for developing the high-performance silicon chips and secure software applications that are driving advancements in AI.

IBM analog AI cores are part of an in-memory computing approach in performance efficiency which improves by suppressing the so-called Von Neuman bottleneck by eliminating data transfer to and from memory. Deep neural networks are mapped to analog cross point arrays and new non-volatile material characteristics are toggled to store network parameters in the cross points. Learn how this technology works in our live interactive demo.

IBM and SUNY Poly have built a highly successful, globally recognized partnership at the multi-billion dollar Albany NanoTech Complex, highlighted by the institution’s Center for Semiconductor Research (CSR), a $500 million program that also includes the world’s leading nanoelectronics companies. The CSR is a long-term, multi-phase, joint R&D cooperative program on future computer chip technology. IBM was a founding member of Governor Andrew M. Cuomo’s Global 450 Consortium. It continues to provide student scholarships and fellowships at the university to help prepare the next generation of nanotechnology scientists, researchers and engineers.

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Project EVE: a cloud-native vision for edge computing | real questions and Pass4sure dumps

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As part of its new LF Edge initiative for open source edge computing, the Linux Foundation announced a new Project EVE based on Zededa’s cloud-native based virtualization engine for embedded containers. The LF Edge umbrella organization for open source edge computing that was announced by the Linux Foundation last week includes two new projects: Samsung Home Edge and Project EVE. We don’t know much about Samsung’s project for home automation, but we found out more about Project EVE, which is based on Zededa’s edge virtualization technology. Last week, we spoke with Zededa co-founder Roman Shaposhnik about Project EVE, which provides a cloud-native based virtualization engine for developing and deploying containers for industrial edge computers (see below).

LF Edge aims to establish “an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system.” It is built around The Linux Foundation’s telecom-oriented Akraino Edge Stack, as well as its EdgeX Foundry, an industrial IoT middleware project.

Like the mostly proprietary cloud-to-edge platforms emerging from Google (Google Cloud IoT Edge), Amazon (AWS IoT), Microsoft (Azure Sphere), and most recently Baidu (Open Edge), among others, the LF Edge envisions a world where software running on IoT gateway and edge devices evolves top down from the cloud rather than from the ground up with traditional embedded platforms.

The Linux Foundation, which also supports numerous “ground up” embedded projects such as the Yocto Project and Iotivity, but with LF Edge it has taken a substantial step toward the cloud-centric paradigm. The touted benefits of a cloud-native approach for embedded include easier software development, especially when multiple apps are needed, and improved security via virtualized, regularly updated container apps. Cloud-native edge computing should also enable more effective deployment of cloud-based analytics on the edge while reducing expensive, high-latency cloud communications.

None of the four major cloud operators listed above are currently members of LF Edge, which poses a challenge for the organization. However, there’s already a deep roster of companies onboard, including Arm, AT&T, Dell EMC, Ericsson, HPE, Huawei, IBM, Intel, Nokia Solutions, Qualcomm, Radisys, Red Hat, Samsung, Seagate, and WindRiver (see the LF Edge announcement for the full list.)

With developers coming at the edge computing problem from both the top-down and bottom-up perspectives, often with limited knowledge of the opposite realm, the first step is agreeing on terminology. Back in June, the Linux Foundation launched an Open Glossary of Edge Computing project to address this issue. Now part of LF Edge, the Open Glossary effort “seeks to provide a concise collection of terms related to the field of edge computing.”

There’s no mention of Linux in the announcements for the LF Edge projects, all of which propose open source, OS-agnostic, approaches to edge computing. Yet, there’s no question that Linux will be the driving force here.

 Project EVE aims to be the Android of edge computing

Project EVE is developing an “open, agnostic and standardized architecture unifying the approach to developing and orchestrating cloud-native applications across the enterprise edge,” says the Linux Foundation. Built around an open source EVE (Edge Virtualization Engine) version of the proprietary Edge Virtualization X (EVx) engine from Santa Clara startup Zededa, Project EVE aims to reinvent embedded using Docker containers and other open source cloud-native software such as Kubernetes. Cloud-native edge computing’s “simple, standardized orchestration” will enable developers to “extend cloud applications to edge devices safely without the need for specialized engineering tied to specific hardware platforms,” says the project.

Silo’d IoT cloud platforms (left) vs. Project EVE Source: Zededa (click image to enlarge) Earlier this year, Zededa joined the EdgeX Foundry project, and its technology similarly targets the industrial realm. However, Project EVE primarily concerns the higher application level rather than middleware. The project’s cloud-native approach to edge software also connects it to another LF project: the Cloud Native Computing Foundation.

In addition to its lightweight virtualization engine, Project EVE also provides a zero-trust security framework. In conversation with, Zededa co-founder Roman Shaposhnik proposed to consign the word “embedded” to the lower levels of simple, MCU-based IoT devices that can’t run Linux. “To learn embedded you have to go back in time, which is no longer cutting it,” said Shaposhnik We have millions of cloud-native software developers who can drive edge computing. If you are familiar with cloud-native, you should have no problem in developing edge-native applications.”

If Shaposhnik is critical of traditional, ground-up embedded development, with all its complexity and lack of security, he is also dismissive of the proprietary cloud-to-edge solutions. “It’s clear that building silo’d end-to-end integration cloud applications is not really flying,” he says, noting the dangers of vendor lock-in and lack of interoperability and privacy.

To achieve the goals of edge computing, what’s needed is a standardized, open source approach to edge virtualization that can work with any cloud, says Shaposhnik. Project EVE can accomplish this, he says, by being the edge computing equivalent of Android.

“The edge market today is where mobile was in the early 2000s,” said Shaposhnik, referring to an era when early mobile OSes such as Palm, BlackBerry, and Windows Mobile created proprietary silos. The iPhone changed the paradigm with apps and other advanced features, but it was the far more open Android that really kicked the mobile world into overdrive.

“Project EVE is doing with edge what Android has done with mobile,” said Shaposhnik. The project’s standardized edge virtualization technology is the equivalent of Android package management and Dalvik VM for Java combined, he added. “As a mobile developer you don’t think about what driver is being used. In the same way our technology protects the developer from hardware complexity.”

Project EVE is based on Zededa’s EVx edge virtualization engine, which currently runs on edge hardware from partners including Advantech, Lanner, SuperMicro, and Scalys. Zededa’s customers are mostly large industrial or energy companies that need timely analytics, which increasingly requires multiple applications.

“We have customers who want to optimize their wind turbines and need predictive maintenance and vibration analytics,” said Shaposhnik. “There are a half dozen machine learning and AI companies that could help, but the only way they can deliver their product is by giving them a new box, which adds to cost and complexity.”

A typical edge computer may need only a handful of different apps rather than the hundreds found on a typical smartphone. Yet, without an application management solution such as virtualized containers, there’s no easy way to host them. Other open source cloud-to-edge solutions that use embedded container technology to provide apps include the Balena IoT fleet management solution from Balena (formerly and Canonical’s container-like Ubuntu Core distribution.

Right now, the focus is on getting the open source version of EVx out the door. Project EVE plans to release a 1.0 version of the EVE in the second quarter along with an SDK for developing EVE edge containers. An app store platform will follow later in the year. More information may be found in this Zededa blog post.

This article is copyright © 2019 and was originally published here. It has been reproduced by this site with the permission of its owner. Please visit for up-to-date news and articles about Linux and open source.  

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  • AWS joins the Cloud Native Computing Foundation | real questions and Pass4sure dumps

    Rumor has it that Amazon’s AWS cloud computing platform will soon launch its own Kubernetes-based container management service. Those rumors are getting a bit more concrete because AWS today joined the Cloud Native Computing Foundation (CNCF), the open source home of the Kubernetes project, as a top-level Platinum member. With this, all of the major public cloud providers, including Microsoft, Google and IBM, are now part of this Linux Foundation-based group, which aims to bring modern cloud management techniques to the masses.

    Amazon already hosts the vast majority of Kubernetes deployments, according to a recent survey, so it shouldn’t come as a surprise that Amazon is joining the foundation that, to a large degree, is steering this project. It’s worth noting, though, that AWS makes use of plenty of open source projects, and also regularly releases its own projects on GitHub. The company also has been a Linux Foundation member since 2013 and is a founding member of the Core Infrastructure Initiative. Unlike all of its main competitors, it isn’t a member of the Cloud Foundry foundation, though.

    As for the CNCF, Amazon has been contributing to containerd, the group’s container runtime. “AWS plans to take an active role in the cloud native community, contributing to Kubernetes and other cloud native technologies such as containerd, CNI, and linkerd,” the CNCF notes in today’s announcement. Adrian Cockcroft, the VP of Cloud Architecture Strategy at AWS, will join CNCF’s board.

    In his announcement, Cockcroft did not talk about what Amazon’s short-term plans for Kubernetes are, but given the wide-spread support for the platform — which is giving Google and Microsoft an opening in competing with AWS on this quickly expanding field — I would be surprised if we didn’t see increased direct support for Kubernetes on AWS (you can, of course, already use it on AWS, but only with the help of tools from third-party vendors).

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