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C2030-280 IBM Cloud Computing Infrastructure Architect V1

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IBM IBM Cloud Computing Infrastructure

GAO axes IBM’s bid protest, teeing up a courtroom fight over Pentagon’s $10 billion cloud effort | killexams.com existent Questions and Pass4sure dumps

Aaron Gregg

Reporter protecting the protection traffic and Washington-enviornment companies.

December 11

The government Accountability workplace has struck down a bid protest filed final month through the computing vast IBM, handing a victory to defense arm officers who need to turn to a single provider for the Pentagon’s $10 billion Joint enterprise defense Infrastructure cloud computing community, called JEDI.

The resolution got here just just a few weeks after the GAO dominated against a similar challenge from Oracle, which consequently took its case to the U.S. court docket of Federal Claims previous this week. within the determination on the IBM protest announced Tuesday, GAO observed it could leave the concern to the courts, noting that there was puny variation between the arguments made by using the two corporations.

“We disregard the protest because the bethink concerned is currently pending earlier than a court of in a position jurisdiction,” GAO conventional counsel Thomas Armstrong wrote. “Oracle’s criticism earlier than the [Court of Federal Claims] contains arguments that are the equal or akin to assertions presented in IBM’s protest to their office."

both groups try to undo a Pentagon election to point to to a single cloud-computing provider for the JEDI contract, which has been described as a “pathfinder effort” supposed to permit unique weapons capabilities that accomplish exercise of synthetic intelligence algorithms. The JEDI cloud effort is estimated to own a $10 billion value over a ten-12 months time frame, and officials own observed it will account for roughly sixteen p.c of the department’s standard cloud-computing work.

The compress is a component of a broader effort to construct superior synthetic intelligence algorithms into the Pentagon’s operations and weapons programs, anything that's seen as pivotal to the U.S. defense force’s potential to hold technological dominance over China and Russia.

Such a large, long-term break has sparked a aggressive frenzy from Beltway defense contractors and West Coast tech giants alike: Representatives from Amazon, Microsoft, IBM and Oracle tested their respective corporations submitted bids. officers own mentioned they will award a compress in early 2019. (Amazon founder Jeffrey P. Bezos furthermore owns The Washington publish.)

right procurement officers own said they'll work with more than one company for the Pentagon’s broader cloud-computing infrastructure.

in spite of this, they've been company of their purpose to award the JEDI compress to a single enterprise. defense arm Chief counsel Officer Dana Deasy referred to in a concurrent interview that pitiable to more than one provider for that effort would “double or triple [the] complexity" of pitiable legacy methods to the cloud.

“starting with a couple of organisations while at the equal time trying to construct out an commercial enterprise means simply easily did not accomplish sense,” Deasy noted.

Executives from Amazon internet capabilities, broadly considered as a entrance-runner on account of its past work with the CIA, own praised that manner in media interviews. Oracle and IBM, which were playing catch-as much as win the necessary govt IT certifications that would establish them on a par with Amazon, each criticized that resolution from the moment it turned into announced in early March.

Oracle turned into the primary to problem that decision, arguing in an Aug. 6 bid protest that turning to a single provider would eventually hurt the Pentagon’s technological prowess by means of shutting it out of improvements occurring at other agencies.

IBM jumped into the fray simply days earlier than bids own been due in early October, arguing that the determination goes towards mentioned Trump administration policies highlighting the need for protection department agencies to undertake surest practices from the traffic enterprise world.

IBM furthermore argued that going to a single provider is a foul theory from a cybersecurity standpoint.

“JEDI’s single-cloud approach furthermore would supply risky actors only one goal to focal point on may still they are looking to undermine the militia’s IT spine,” the enterprise wrote in a weblog submit. “the realm’s greatest companies are more and more relocating in a multi-cloud route because of security, flexibility and resilience; the Pentagon is relocating in exactly the antithetical path.”

With IBM’s bid protest out of the way, the two companies must now show to the courtroom of Federal Claims to evaluate no matter if the department has followed procurement laws because it has structured the contract.


5 up to date Infrastructure developments to monitor Out for in 2019 | killexams.com existent Questions and Pass4sure dumps

With the enterprise and public sector accelerating the adoption, cloud has become the brand unique norm. From the days of on-demand provisioning of compute and storage to FPGA and GPU-based mostly infrastructure, cloud computing has arrive a protracted method. Cloud computing has virtually reached the tipping point.

statistics CenterSource: Pixabay

The improvements from hyperscale infrastructure providers devotion Amazon, Microsoft, Google, and IBM are going to own an impact on commercial enterprise records middle. This vogue will enable giant enterprises to hold advantages of the efficiency and efficiency completed via cloud providers. With this vogue, the road between on-premises infrastructure and public cloud will find blurred.

here are five trends of up to date infrastructure to watch out for in 2019:

the upward thrust of containers & Kubernetes within the commercial enterprise information center

firms are embracing containers at a much quicker pace than anticipated. The thriving open source neighborhood mixed with the provision of ripen traffic offerings has given the assurance to traffic valued clientele.

Kubernetes has become the front and headquarters of traffic container platform. From common OS companies to concurrent PaaS providers, each major platform supplier has a industrial Kubernetes providing making it the unique working gadget of the data center.

In 2019, are expecting to stare a meteoric upward thrust of Kubernetes in the business. Containers will redefine the hybrid cloud with the aid of bridging the pocket between legacy and concurrent applications and on-premises and public cloud infrastructure.

Google has announced the preview of on-prem GKE that includes tight integration of its confirmed Containers as a carrier (CaaS) in the public cloud – Google Kubernetes Engine. Microsoft is pitiable quickly in bringing Azure Kubernetes carrier to Azure Stack deepest cloud platform. IBM is making a wager on IBM Cloud private – a hybrid cloud platform in accordance with Kubernetes.

natural PaaS has gradually changed into a container administration platform. PaaS traffic leaders – red Hat and Pivotal – own embraced Kubernetes as the groundwork of their platforms. 2019 will witness the finished transformation of PaaS into CaaS.

the availability of specialized hardware for niche workloads

all through the prefatory days of computing, the utility turned into written for universal hardware structure in accordance with Intel X86 or SPARC. eventually, Intel became the bottom standard denominator for OS companies and software carriers.

Public cloud has changed the dynamics of hardware and CPU market. To force the dimensions of economic system and efficiency, hyperscale suppliers devotion Amazon, Google, Microsoft, and fb every single started to build custom hardware and processors that complement Intel CPUs.

With niche workloads akin to desktop gaining erudition of and excessive-performance computing becoming the essential thing drivers of public cloud adoption, hyperscale suppliers are turning to custom hardware to accelerate the efficiency of the applications.

In 2019, they can discern the style where customized chips will substitute celebrated application. The heavy lifting finished through software written for virtualization, pics, and HPC will breathe moved to intention-constructed hardware that can provide large efficiency and efficiency.

container programmable gate arrays (FPGA) used in Microsoft’s mission Brainwave and proprietary accelerators similar to Google Cloud TPU will turn into extra widespread in 2019. They may additionally even become accessible to power commercial enterprise facts centers.

Multi-cloud will no extra breathe a buzzword

organizations are investing in diverse cloud platforms to in the reduction of the random of seller lock-in and single factor of failure.

tremendous commercial enterprise consumers are the usage of at the least two cloud suppliers when working mission-important workloads. The usual sample is using object storage for keeping an extra layer of redundancy. Deploying the DR web site in a different cloud platform is additionally a standard exercise case of multi-cloud. however these patterns don't bring the merits of actual multi-cloud adoption.

In 2019, they are able to witness a mode where customers will federate numerous cloud systems to sprint a allotted workload. They may sprint a legacy transactional database in one cloud platform while working the information warehouse in the other. As cloud suppliers differentiate themselves with structures for working belt of interest workloads, customers will opt for the better of breed suppliers to sprint elements of their workload.

Kubernetes will evolve to become the cloth of multi-cloud. purchasers targeting Kubernetes because the favored deployment target will benefit from the advantages of multi-cloud together with portability.

The subsequent facet of DevOps

Two fundamental tendencies are going to own an sequel on the latest DevOps model – Containers & AI.

usual DevOps paraphernalia had been completely designed for provisioning, scheduling, configuring, and managing the lifecycle of virtual machines. Containers introduced a special degree of abstraction that eliminated the need to control VMs at once. ideas comparable to immutable infrastructure, infrastructure as code, and self-curative applications accomplish traditional DevOps tools less imperative.

In 2019, they can witness a brand unique wave of DevOps companies that convey efficient CI/CD pipelines, better observability and security of microservices. devotion other areas of infrastructure, containers are every single set to disrupt the DevOps market.

The utility of AI to DevOps will sequel in AIOps that reduces the need for pilot intervention. From anomaly detection to root trigger analysis to predictive scaling to smart monitoring, AIOps-primarily based know-how will develop into the sensible operations tool. it may well even substitute L1 and L2 pilot teams with clever automation.

AIOps will turn into a significant vogue of 2019.

The convergence of Containers as a service and services as a service

Serverless computing isn't any greater a buzzword. it is becoming probably the most quickest transforming into cloud carrier start fashions. Amazon, Google, IBM, and Microsoft present serverless computing models of their respective public cloud environments.

services as a service (FaaS) is among the delivery models of serverless computing in which developers add code snippets packaged as modular features. These functions are invoked in response to hobbies generated by means of loads of exterior sources similar to databases, storage containers, streams, and even user interfaces. AWS Lambda, Azure functions, Google Cloud services and IBM Cloud capabilities are some of the implementations within the public cloud.

In 2019, they will discern two developments – the convergence of CaaS and FaaS, and standardization of FaaS.

Serverless changed into the most mentioned topic at KubeCon 2018 that concluded eventual week. The industry is coming together to accomplish Kubernetes the platform for deploying adventure-pushed features that are invoked based on inside and exterior pursuits. subsequent year, I are expecting to stare FaaS fitting a first class citizen within the container world.

There could breathe efforts in defining typical requirements for FaaS that brings portability and interoperability of features.


IBM Expands Strategic Partnership with Samsung to comprehend 7nm Chip Manufacturing | killexams.com existent Questions and Pass4sure dumps

ARMONK, N.Y., Dec. 20, 2018 — IBM nowadays announced an compress with Samsung to fabricate 7-nanometer (nm) microprocessors for IBM vigor methods, IBM Z and LinuxONE, excessive-performance computing (HPC) techniques, and cloud offerings.

The settlement combines Samsung’s trade-leading semiconductor manufacturing with IBM’s excessive-performance CPU designs. This aggregate is being designed to force unmatched techniques efficiency, together with acceleration, reminiscence and i/O bandwidth, encryption and compression velocity, as well as paraphernalia scaling. It positions IBM and Samsung as strategic companions main the brand unique era of high-efficiency computing in particular designed for AI.

“At IBM, their first precedence is their shoppers,” pointed out John Acocella, vice president of traffic programs and know-how development for IBM programs. “IBM selected Samsung to build their subsequent technology of microprocessors because they share their stage of dedication to the efficiency, reliability, safety, and innovation that allows you to position their consumers for endured success on the subsequent generation of IBM hardware.”

today’s announcement furthermore expands and extends the 15-12 months strategic system know-how R&D partnership between both corporations which, as a allotment of IBM’s research Alliance, comprises many trade firsts such as the first NanoSheet gadget innovation for sub 5nm, the production of the business’s first 7nm stare at various chip and the primary excessive-okay metallic Gate foundry manufacturing. IBM’s analysis Alliance ecosystem continues to define the management roadmap for the semiconductor industry.

“we're excited to expand their decade-long strategic relationship with IBM with their 7nm EUV process expertise,” spoke of Ryan Lee, vice chairman of Foundry advertising at Samsung Electronics. “This collaboration is an essential milestone for Samsung’s foundry enterprise as it signifies self assurance in Samsung’s slicing-aspect excessive efficiency EUV manner expertise.”

Samsung is a member of the OpenPOWER basis, a supplier ecosystem facilitating the development of IBM energy architecture-based mostly custom-made servers, networking and storage for future facts facilities and cloud computing. Samsung is additionally a member of the Q community to aid multiply the understanding of functions utility in quantum computing for the business.

supply: IBM


C2030-280 IBM Cloud Computing Infrastructure Architect V1

Study pilot Prepared by Killexams.com IBM Dumps Experts


Killexams.com C2030-280 Dumps and existent Questions

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C2030-280 exam Dumps Source : IBM Cloud Computing Infrastructure Architect V1

Test Code : C2030-280
Test appellation : IBM Cloud Computing Infrastructure Architect V1
Vendor appellation : IBM
: 98 existent Questions

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IBM Cloud Computing Infrastructure Architect V1

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5 Modern Infrastructure Trends To Watch Out for in 2019 | killexams.com existent questions and Pass4sure dumps

With the enterprise and public sector accelerating the adoption, cloud has become the unique norm. From the days of on-demand provisioning of compute and storage to FPGA and GPU-based infrastructure, cloud computing has arrive a long way. Cloud computing has almost reached the tipping point.

Data CenterSource: Pixabay

The innovations from hyperscale infrastructure providers devotion Amazon, Microsoft, Google, and IBM are going to impact enterprise data center. This trend will enable large enterprises to hold advantages of the efficiency and performance achieved by cloud providers. With this trend, the line between on-premises infrastructure and public cloud will find blurred.

Here are five trends of modern infrastructure to watch out for in 2019:

The rise of containers & Kubernetes in the enterprise data center

Enterprises are embracing containers at a much faster pace than expected. The thriving open source community combined with the availability of ripen commercial offerings has given the assurance to enterprise customers.

Kubernetes has become the front and headquarters of enterprise container platform. From traditional OS vendors to modern PaaS providers, every major platform vendor has a commercial Kubernetes offering making it the unique operating system of the data center.

In 2019, expect to discern a meteoric rise of Kubernetes in the enterprise. Containers will redefine the hybrid cloud by bridging the gap between legacy and modern applications and on-premises and public cloud infrastructure.

Google has announced the preview of on-prem GKE that comes with tight integration of its proven Containers as a Service (CaaS) in the public cloud – Google Kubernetes Engine. Microsoft is pitiable snappy in bringing Azure Kubernetes Service to Azure Stack private cloud platform. IBM is betting on IBM Cloud Private – a hybrid cloud platform based on Kubernetes.

Traditional PaaS has gradually transformed into a container management platform. PaaS industry leaders – Red Hat and Pivotal – own embraced Kubernetes as the foundation of their platforms. 2019 will witness the complete transformation of PaaS into CaaS.

The availability of specialized hardware for niche workloads

During the initial days of computing, the software was written for common hardware architecture based on Intel X86 or SPARC. Eventually, Intel became the lowest common denominator for OS vendors and application vendors.

Public cloud has changed the dynamics of hardware and CPU market. To drive the scale of economy and efficiency, hyperscale providers devotion Amazon, Google, Microsoft, and Facebook started to build custom hardware and processors that complement Intel CPUs.

With niche workloads such as machine learning and high-performance computing becoming the key drivers of public cloud adoption, hyperscale providers are turning to custom hardware to accelerate the performance of the applications.

In 2019, they will discern the trend where custom chips will supersede generic software. The heavy lifting done by software written for virtualization, graphics, and HPC will breathe moved to purpose-built hardware that delivers massive performance and efficiency.

Field programmable gate arrays (FPGA) used in Microsoft’s Project Brainwave and proprietary accelerators such as Google Cloud TPU will become more prominent in 2019. They may even become available to power enterprise data centers.

Multi-cloud will no more breathe a buzzword

Enterprises are investing in multiple cloud platforms to reduce the risk of vendor lock-in and single point of failure.

Large enterprise customers are using at least two cloud providers when running mission-critical workloads. The common pattern is the exercise of object storage for maintaining an additional layer of redundancy. Deploying the DR site in a different cloud platform is furthermore a common exercise case of multi-cloud. But these patterns don't deliver the benefits of honest multi-cloud adoption.

In 2019, they will witness a trend where customers will federate multiple cloud platforms to sprint a distributed workload. They may sprint a legacy transactional database in one cloud platform while running the data warehouse in the other. As cloud providers differentiate themselves with platforms for running niche workloads, customers will select the best of breed providers to sprint parts of their workload.

Kubernetes will evolve to become the fabric of multi-cloud. Customers targeting Kubernetes as the preferred deployment target will relish the benefits of multi-cloud along with portability.

The next facet of DevOps

Two major trends are going to impact the current DevOps model – Containers & AI.

Traditional DevOps tools were exclusively designed for provisioning, scheduling, configuring, and managing the lifecycle of virtual machines. Containers brought a different smooth of abstraction that eliminated the need to manage VMs directly. Concepts such as immutable infrastructure, infrastructure as code, and self-healing applications accomplish traditional DevOps tools less relevant.

In 2019, they will witness a unique wave of DevOps companies that deliver efficient CI/CD pipelines, better observability and security of microservices. devotion other areas of infrastructure, containers are every single set to disrupt the DevOps market.

The application of AI to DevOps will result in AIOps that reduces the need for manual intervention. From anomaly detection to root intuition analysis to predictive scaling to smart monitoring, AIOps-based technology will become the smart operations tool. It may even supersede L1 and L2 support teams with smart automation.

AIOps will become a significant trend of 2019.

The convergence of Containers as a Service and Functions as a Service

Serverless computing is no more a buzzword. It is becoming one of the fastest growing cloud service delivery models. Amazon, Google, IBM, and Microsoft offer serverless computing models in their respective public cloud environments.

Functions as a Service (FaaS) is one of the delivery models of serverless computing in which developers upload code snippets packaged as modular functions. These functions are invoked in response to events generated by a variety of external sources such as databases, storage containers, streams, and even user interfaces. AWS Lambda, Azure Functions, Google Cloud Functions and IBM Cloud Functions are some of the implementations in the public cloud.

In 2019, they will discern two trends – the convergence of CaaS and FaaS, and standardization of FaaS.

Serverless was the most discussed topic at KubeCon 2018 that concluded eventual week. The industry is coming together to accomplish Kubernetes the platform for deploying event-driven functions that are invoked in response to internal and external events. Next year, I expect to discern FaaS becoming a first-class citizen in the container world.

There will breathe efforts in defining common standards for FaaS that brings portability and interoperability of functions.


A Year of AI Transformation | killexams.com existent questions and Pass4sure dumps

Artificial Intelligence (AI) is poised to shift from being an emergent technology into becoming mainstream and omnipresent. Two years ago, investment in AI had already reached nearly $40 billion worldwide.1

AI adoption rates soaring, technology vendors own been racing to develop and offer high performance computing (HPC) infrastructure solutions that succor accomplish implementing AI easier, lower risk, and more affordable. IBM is no exception. In 2018, IBM established a brisk cadence of AI-related reference architectures, culminating in the recent announcement of IBM Spectrum AI with NVIDIA DGX, a high performance solution that combines industry acclaimed IBM Spectrum Scale software-defined storage with NVIDIA DGX-1 systems connected with Mellanox Infiniband networking. The unique solution offers the highest performance storage of any comparable system, 2 and supports any GPU accelerated server, including IBM AC922.

To achieve acceptable levels of insight and accuracy, AI applications require access to immense amounts of training data and processing power. 3 Such requirements can accomplish the infrastructure transformation necessary to enable AI complex, high risk, and costly, hindering adoption. To address these challenges, in June 2018 IBM announced the IBM Systems Reference Architecture for AI. Based on IBM PowerAI, IBM Spectrum Computing (the HPC-focused component), and IBM storage, this unique reference architecture offers a proven solution for AI computing and deep learning that simplifies complicated operations and reduces deployment and operational risk. Developed through realworld customer experience, the IBM Reference Architecture for AI provides a comprehensive pilot to succor organizations create successful AI infrastructure proofs-of-concept, expand these into production, and then scale the solutions as needed to accommodate AI application and data growth.

In August, IBM added fuel to its 2018 AI fire by announcing the IBM Power Systems Accelerated Computing Platform (IBM Power ACP). Currently, the two most powerful AI-enhanced supercomputers on the planet – Summit at Oak Ridge and Sierra at Lawrence Livermore National Labs – are built from IBM Power ACP elements. A key to these installations is the fact that they were assembled using only the identical commercially available components as institute in the IBM Power ACP offering. It’s a complete solution that includes IBM POWER9 servers; IBM Elastic Storage Server (ESS); networking, development, and runtime software; and professional services designed to succor any organization easily build the onpremises infrastructure needed to support AI, HPC, and other compute-intensive workloads.

Headlining the IBM Power ACP offering is the IBM Power System Accelerated Compute Server – AC922 – the identical servers used in the Summit and Sierra CORAL supercomputers. AC922 is designed for enterprise AI. With up to 1 TB of RAM, two 20-core IBM POWER9 processors, and up to four NVDIA Tesla GPUs connected through NVLINK, the AC922 server can wield the complete ambit of demanding AI and HPC workloads.

By October, IBM Storage formalized the systems it had already been providing to car manufacturers into a solution called IBM Storage for Autonomous Driving. Advanced driver assistance systems and autonomous driving (AD) initiatives every single own one thing in common – miles and miles of data. Sources comprehend sensor data, weather data, satellite data, behavioral and other personal data, diagnostic data, and more. Each connected car generates from a few megabytes to sometimes terabytes per car per day when that car is a test vehicle used to train AD models. These connected-cars initiatives can generate storage demand for upwards of 200 exabytes of data daily across entire fleets. 4 The IBM Storage for AD solution is based on IBM Cloud object Storage in order to accommodate these vast data streams, IBM Spectrum ascertain to enhance and manage the file metadata, and IBM Spectrum Scale to provide comprehensive storage management and data services – the identical storage software institute in Summit and Sierra.

Finally, in mid-December IBM announced IBM Spectrum AI with NVIDIA DGX. The solution provides the ready-to-deploy robust infrastructure and software that AI projects need to ramp up quickly and grow confidently. Designed for NVIDIA DGX-1 systems, IBM Spectrum Scale software-defined storage, and Mellanox networking, IBM Spectrum AI with NVDIA DGX can breathe configured to meet current and growing organizational requirements. The NVIDIA DGX software stack includes access to the latest in NVIDIA optimized containers via the NGC container repository, plus the unique RAPIDS framework to accelerate data science workflow.

IBM Spectrum Scale can breathe deployed in configurations from a single IBM ESS to support a few GPU accelerated servers, to a complete IBM Spectrum AI with NVIDIA DGX rack of nine servers with 72 NVIDIA V100 Tensor Core GPUs. And multi-rack configurations are possible as well. Unlike traditional storage arrays, highly parallel IBM Spectrum Scale can grow almost linearly to feed multiple GPUs. The result is a solution that delivers AI workload performance from shared storage comparable to that of local RAM disk. In an IBM Spectrum AI system, IBM Spectrum Scale on IBM NVMe glint has demonstrated 120GB/s of data throughput, 5 enough to support multiple users and multiple AI models simultaneously.

To learn more about IBM SpectrumAI with NVIDIA DGX, visit this webpage and relate us for the January 29th webinar “Building your AI Data Pipeline with IBM SpectrumAI.”

IBM Spectrum Scale provides the flexibility to address storage requirements across the entire AI data pipeline – from ingest; through data classification, transformation, analytics, and model training; to data archiving. It can furthermore provide storage services across different storage choices, including AWS public cloud. IBM Spectrum Scale can share data with IBM Cloud object Storage and tape, with shared metadata services provided by IBM Spectrum Discover.

When it comes to transforming AI from dreams into reality, 2018 was a ample year at IBM. The leader in AI technology announced unique AI reference architectures, released multiple AI infrastructure solutions across IBM Systems and now with NVIDIA, and even accelerated the development of autonomous driving vehicles. Previously, AI remained mostly within the province of early technology adopters, but now, that’s no longer the case.

1 Datafloq: Why the Adoption Rate of AI is Increasing, May 2018 https://datafloq.com/read/adoption-rate-ai-increasing/50442 FIO data throughput testing of 120GB/s and AI workloads performance compared to the self-reported results of other NVIDIA RA traffic partners https://www.nvidia.com/en-us/data-center/dgx-reference-architecture/3 TechTarget Whatis definition: deep Learning (https://searchenterpriseai.techtarget.com/definition/deep-learning-deepneural-network)4 IBM Solution Brief: IBM Storage solutions for advanced driver assistance systems and autonomous driving, October 2018 (https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=34019934USEN) 5 IBM lab testing of IBM Spectrum Scale on 3 NMVe arrays using 4k random reads driven by FIO on 9 NVIDIA DGX-1 systems connected with Mellanox EDR Infiniband


What is cloud computing? Everything you need to know about the cloud, explained | killexams.com existent questions and Pass4sure dumps

Video: Cloud storage - your best options

What is cloud computing, in simple terms?

Cloud computing is the delivery of on-demand computing services -- from applications to storage and processing power -- typically over the internet and on a pay-as-you-go basis.

How does cloud computing work?

Rather than owning their own computing infrastructure or data centers, companies can rent access to anything from applications to storage from a cloud service provider.

One benefit of using cloud computing services is that firms can avoid the upfront cost and complexity of owning and maintaining their own IT infrastructure, and instead simply pay for what they use, when they exercise it.

In turn, providers of cloud computing services can benefit from significant economies of scale by delivering the identical services to a wide ambit of customers.

What cloud computing services are available?

Cloud computing services cover a vast ambit of options now, from the basics of storage, networking, and processing power through to natural language processing and synthetic intelligence as well as standard office applications. Pretty much any service that doesn't require you to breathe physically close to the computer hardware that you are using can now breathe delivered via the cloud.

What are examples of cloud computing?

Cloud computing underpins a vast number of services. That includes consumer services devotion Gmail or the cloud back-up of the photos on your smartphone, though to the services which allow large enterprises to host every single their data and sprint every single of their applications in the cloud. Netflix relies on cloud computing services to sprint its its video streaming service and its other traffic systems too, and own a number of other organisations.

Cloud computing is becoming the default option for many apps: software vendors are increasingly offering their applications as services over the internet rather than standalone products as they try to switch to a subscription model. However, there is a potential downside to cloud computing, in that it can furthermore interpose unique costs and unique risks for companies using it.

Why is it called cloud computing?

A fundamental concept behind cloud computing is that the location of the service, and many of the details such as the hardware or operating system on which it is running, are largely extraneous to the user. It's with this in mind that the metaphor of the cloud was borrowed from feeble telecoms network schematics, in which the public telephone network (and later the internet) was often represented as a cloud to denote that the just didn't matter - it was just a cloud of stuff. This is an over-simplification of course; for many customers location of their services and data remains a key issue.

What is the history of cloud computing?

Cloud computing as a term has been around since the early 2000s, but the concept of computing-as-a-service has been around for much, much longer -- as far back as the 1960s, when computer bureaus would allow companies to rent time on a mainframe, rather than own to buy one themselves.

These 'time-sharing' services were largely overtaken by the rise of the PC which made owning a computer much more affordable, and then in turn by the rise of corporate data centers where companies would store vast amounts of data.

But the concept of renting access to computing power has resurfaced again and again -- in the application service providers, utility computing, and grid computing of the late 1990s and early 2000s. This was followed by cloud computing, which really took hold with the emergence of software as a service and hyperscale cloud computing providers such as Amazon Web Services.

How essential is the cloud?

Building the infrastructure to support cloud computing now accounts for more than a third of every single IT spending worldwide, according to research from IDC. Meanwhile spending on traditional, in-house IT continues to slide as computing workloads continue to slip to the cloud, whether that is public cloud services offered by vendors or private clouds built by enterprises themselves.

451 Research predicts that around one-third of enterprise IT spending will breathe on hosting and cloud services this year "indicating a growing reliance on external sources of infrastructure, application, management and security services". Analyst Gartner predicts that half of global enterprises using the cloud now will own gone all-in on it by 2021.

According to Gartner, global spending on cloud services will achieve $260bn this year up from $219.6bn. It's furthermore growing at a faster rate than the analysts expected. But it's not entirely lucid how much of that demand is coming from businesses that actually want to slip to the cloud and how much is being created by vendors who now only offer cloud versions of their products (often because they are keen to slip to away from selling one-off licences to selling potentially more lucrative and predictable cloud subscriptions).

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Predictions for cloud computing revenues to 2021 from 451 Research.

Image: 451 Research

What is Infrastructure-as-a-Service?

Cloud computing can breathe broken down into three cloud computing models. Infrastructure-as-a-Service (IaaS) refers to the fundamental structure blocks of computing that can breathe rented: physical or virtual servers, storage and networking. This is attractive to companies that want to build applications from the very ground up and want to control nearly every single the elements themselves, but it does require firms to own the technical skills to breathe able to orchestrate services at that level. Research by Oracle institute that two thirds of IaaS users said using online infrastructure makes it easier to innovate, had carve their time to deploy unique applications and services and had significantly carve on-going maintenance costs. However, half said IaaS isn't secure enough for most faultfinding data.

What is Platform-as-a-Service?

Platform-as-a-Service (PaaS) is the next layer up -- as well as the underlying storage, networking, and virtual servers this will furthermore comprehend the tools and software that developers need to build applications on top of: that could comprehend middleware, database management, operating systems, and development tools.

Insight platforms as a service: What they are and why they matter

What is Software-as-a-Service?

Software-as-a-Service (SaaS) is the delivery of applications-as-a-service, probably the version of cloud computing that most people are used to on a day-to-day basis. The underlying hardware and operating system is extraneous to the stay user, who will access the service via a web browser or app; it is often bought on a per-seat or per-user basis.

According to researchers IDC SaaS is -- and will remain -- the preponderant cloud computing model in the medium term, accounting for two-thirds of every single public cloud spending in 2017, which will only drop slightly to just under 60 percent in 2021. SaaS spending is made up of applications and system infrastructure software, and IDC said that spending will breathe dominated by applications purchases, which will accomplish up more than half of every single public cloud spending through 2019. Customer relationship management (CRM) applications and enterprise resource management (ERM) applications will account for more than 60 percent of every single cloud applications spending through to 2021. The variety of applications delivered via SaaS is huge, from CRM such as Salesforce through to Microsoft's Office 365.

Cloud computing benefits

The exact benefits will vary according to the type of cloud service being used but, fundamentally, using cloud services means companies not having to buy or maintain their own computing infrastructure.

No more buying servers, updating applications or operating systems, or decommissioning and disposing of hardware or software when it is out of date, as it is every single taken keeping of by the supplier. For commodity applications, such as email, it can accomplish sense to switch to a cloud provider, rather than reckon on in-house skills. A company that specializes in running and securing these services is likely to own better skills and more experienced staff than a small traffic could afford to hire, so cloud services may breathe able to deliver a more secure and efficient service to stay users.

Using cloud services means companies can slip faster on projects and test out concepts without lengthy procurement and ample upfront costs, because firms only pay for the resources they consume. This concept of traffic agility is often mentioned by cloud advocates as a key benefit. The capacity to spin up unique services without the time and effort associated with traditional IT procurement should carry weight that is easier to find going with unique applications faster. And if a unique application turns out to breathe a wildly celebrated the elastic nature of the cloud means it is easier to scale it up fast.

For a company with an application that has ample peaks in usage, for instance that is only used at a particular time of the week or year, it may accomplish financial sense to own it hosted in the cloud, rather than own dedicated hardware and software laying idle for much of the time. pitiable to a cloud hosted application for services devotion email or CRM could remove a trial on internal IT staff, and if such applications don't generate much competitive advantage, there will breathe puny other impact. pitiable to a services model furthermore moves spending from capex to opex, which may breathe useful for some companies.

Cloud computing advantages and disadvantages

Cloud computing is not necessarily cheaper than other forms of computing, just as renting is not always cheaper than buying in the long term. If an application has a regular and predictable requirement for computing services it may breathe more economical to provide that service in-house.

Some companies may breathe reluctant to host sensitive data in a service that is furthermore used by rivals. pitiable to a SaaS application may furthermore carry weight you are using the identical applications as a rival, which may accomplish it arduous to create any competitive odds if that application is core to your business.

While it may breathe facile to start using a unique cloud application, migrating existing data or apps to the cloud may breathe much more complicated and expensive. And it seems there is now something of a shortage in cloud skills with staff with DevOps and multi-cloud monitoring and management erudition in particularly short supply.

In one recent report a significant balance of experienced cloud users said that they thought upfront migration costs ultimately outweigh the long-term savings created by IaaS.

And of course, you can only access your applications if you own an internet connection.

What is cloud computing adoption doing to IT budgets?

Cloud computing tends to shift spending from capital expenditure (CapEx) to operating expenditure (OpEx) as companies buy computing as a service rather than in the shape of physical servers. This may allow companies to avoid large increases in IT spending which would traditionally breathe seen with unique projects; using the cloud to accomplish margin in the budget may breathe easier than going to the CFO and looking for more money.

"CIOs are increasingly turning to cloud infrastructure and services in order to multiply flexibility and lighten pressure on capital budgets," notes ZDNet's survey of IT budget predictions. Of course, this doesn't carry weight that cloud computing is always or necessarily cheaper that keeping applications in house; for applications with a predictable and stable demand for computing power may breathe cheaper (from a processing power point of view at least) to retain in-house.

How sequel you build a traffic case for cloud computing?

To build a traffic case for pitiable systems to the cloud you first need to understand what your existing infrastructure actually costs. There's a lot to factor in: obvious things devotion the cost of running a data centers, and extras such as leased lines. The cost of physical hardware -- servers and details of specifications devotion CPUs, cores and RAM, plus the cost of storage. You'll furthermore need to reckon the cost of applications - whether you arrangement to dump them, re-hosting them in the cloud unchanged, completely rebuilding them for the cloud or buying an entirely unique SaaS package each option will own different cost implications. The cloud traffic case furthermore needs to comprehend people costs (often second only to the infrastructure costs) and more nebulous concepts devotion the benefit of being able to provide unique services faster. Any cloud traffic case should furthermore factor in the potential downsides, including the risk of being locked into one vendor for your tech infrastructure.

Cloud computing adoption

It's arduous to find figures on how companies are adopting cloud services although the market is clearly growing rapidly. One set of research suggests that around 12 per cent of businesses deem themselves to breathe 'cloud-first' organisations, and about a third sprint some benign of workloads in the cloud - while a quarter of firms insist they will never slip on-demand.

However, it may breathe that figures on adoption of cloud depend on who you talk to inside an organisation. Not every single cloud spending will breathe driven centrally by the CIO: cloud services are relatively facile to sign up for, so traffic managers can start using them, and pay out of their own budget, without needing to inform the IT department. This can enable businesses to slip faster but furthermore can create security risks if the exercise of apps is not managed.

Adoption will furthermore vary by application: cloud-based email - is much easier to adopt than a unique finance system for example. Research by Spiceworks suggests that companies are planning to invest in cloud-based communications and collaboration tools and back-up and disaster recovery, but are less likely to breathe investing in supply chain management.

What about cloud computing security?

Certainly many companies remain concerned about the security of cloud services, although breaches of security are rare. How secure you deem cloud computing to breathe will largely depend on how secure your existing systems are. In-house systems managed by a team with many other things to worry about are likely to breathe more leaky than systems monitored by a cloud provider's engineers dedicated to protecting that infrastructure.

However, concerns sequel remain about security, especially for companies pitiable their data between many cloud services, which has leading to growth in cloud security tools, which monitor data pitiable to and from the cloud and between cloud platforms. These tools can identify fraudulent exercise of data in the cloud, unauthorised downloads, and malware. There is a financial and performance impact however: these tools can reduce the revert on investment of the cloud by five to 10 percent, and impact performance by five to 15 percent. The country of inception of cloud services is furthermore worrying some organisations (see Is geography extraneous when it comes to cloud computing? below)

What is public cloud?

Public cloud is the classic cloud computing model, where users can access a large pool of computing power over the internet (whether that is IaaS, PaaS, or SaaS). One of the significant benefits here is the capacity to rapidly scale a service. The cloud computing suppliers own vast amounts of computing power, which they share out between a large number of customers -- the 'multi-tenant' architecture. Their huge scale means they own enough spare capacity that they can easily cope if any particular customer needs more resources, which is why it is often used for less-sensitive applications that demand a varying amount of resources.

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Image: Gartner

Businesses will spend $128 billion on public cloud this year, says IDC

What is private cloud?

Private cloud allows organizations to benefit from the some of the advantages of public cloud -- but without the concerns about relinquishing control over data and services, because it is tucked away behind the corporate firewall. Companies can control exactly where their data is being held and can build the infrastructure in a way they want - largely for IaaS or PaaS projects - to give developers access to a pool of computing power that scales on-demand without putting security at risk. However, that additional security comes at a cost, as few companies will own the scale of AWS, Microsoft or Google, which means they will not breathe able to create the identical economies of scale. Still, for companies that require additional security, private cloud may breathe a useful stepping stone, helping them to understand cloud services or rebuild internal applications for the cloud, before shifting them into the public cloud

What is hybrid cloud?

Hybrid cloud is perhaps where everyone is in reality: a bit of this, a bit of that. Some data in the public cloud, some projects in private cloud, multiple vendors and different levels of cloud usage. According to research by TechRepublic, the main reasons for choosing hybrid cloud comprehend disaster recovery planning and the want to avoid hardware costs when expanding their existing data center.

Cloud computing migration costs

For start-ups who arrangement to sprint every single their systems in the cloud getting started is pretty simple. But the majority of companies it is not so simple: with existing applications and data they need to work out which systems are best left running as they, and which to start pitiable them to cloud infrastructure. This is a potentially risky and expensive move, and migrating to the cloud could cost companies more if they underestimate the scale of such projects.

A survey of 500 businesses that were early cloud adopters institute that the need to rewrite applications to optimise them for the cloud was one of the biggest costs, especially if the apps were complicated or customised. A third of those surveyed said cited high fees for passing data between systems as a challenge in pitiable their mission-critical applications.

The report by Forrester furthermore institute that the skills required for migration are both difficult and expensive to find - and that even when organisations could find the perquisite people they risked them being stolen away by cloud computing vendors with deep pockets. One third of those surveyed said their software database license costs drastically increased if they moved applications.

Beyond this the majority furthermore remained worried about the performance of faultfinding apps and one in three cited this as a intuition for not pitiable some faultfinding applications.

Is geography extraneous when it comes to cloud computing?

Actually it turns out that is where the cloud really does matter; indeed geopolitics is forcing significant changes on cloud computing user and vendors. Firstly, there is the issue of latency: if the application is coming from a data headquarters on the other side of the planet, or on the other side of a congested network, then you may find it sluggish compared to a local connection. That's the latency problem.

Secondly, there is the issue of data sovereignty. Many companies -- particularly in Europe -- own to worry about where their data is being processed and stored. European companies are worried that, for example, if their customer data is being stored in data centers in the US or (owned by US companies) it could breathe accessed by US law enforcement. As a result the ample cloud vendors own been structure out a regional data headquarters network so that organizations can retain their data in their own region.

In Germany, Microsoft has gone one step further, offering its Azure cloud services from two data centers, which own been set up to accomplish it much harder for US authorities -- and others -- to demand access to the customer data stored there. The customer data in the data centers is under the control of an independent German company which acts as a "data trustee", and Microsoft cannot access data at the sites without the authorization of customers or the data trustee. expect to discern cloud vendors opening more data centers around the world to cater to customers with requirements to retain data in specific locations.

And regulation of cloud computing varies widely elsewhere across the world: for instance AWS recently sold a chunk of its cloud infrastructure in China to its local confederate because of China's strict tech regulations. Since then AWS has opened a second China (Ningxia) Region, operated by Ningxia Western Cloud Data Technology.

Cloud security is another issue; the UK government's cyber security agency has warned that government agencies need to deem the country of inception when it comes to adding cloud services into their supply chains. While it was warning about antivirus software in particular, the issue is the identical for other types of services too.

Consultants Accenture own warned that 'digital fragmentation' is the result as different countries enact legislation to protect privacy and ameliorate cyber security. While the aims of the laws is laudable, the impact is to raise costs for businesses. Three quarters of the 400 CIOs and CTOs surveyed expect to exit a geographic market, slow their market-entry plans or abandon market-entry plans in the next three years as a result of increased barriers to globalization.

More than half of the traffic leaders surveyed believe that the increasing barriers to globalization will compromise their capacity to: exercise or provide cloud-based services (cited by 54 percent of respondents, versus 14 percent that disagree); exercise or provide data and analytics services across national markets (54 percent versus 15 percent); and operate effectively across different national IT standards (58 percent versus 18 percent).

Over half said these increasing barriers will force their companies to rethink their: global IT architectures (cited by 60 per cent) physical IT location strategy (52 per cent); cybersecurity strategy and capabilities (51 per cent); relationship with local and global IT suppliers (50 per cent); and geographic strategy for IT talent (50 per cent).

What is a cloud computing region? What is a cloud computing availability zone?

Cloud computing services are operated from giant datacenters around the world. AWS divides this up by 'regions' and 'availability zones'. Each AWS region is a separate geographic area, devotion EU (London) or US West (Oregon), which AWS then further subdivides into what it calls availability zones (AZs). An AZ is composed of one or more datacenters that are far enough apart that in theory a single disaster won't hold both offline, but close enough together for traffic continuity applications that require rapid failover. Each AZ has multiple internet connections and power connections to multiple grids: AWS has over 50 AZs.

Google uses a similar model, dividing its cloud computing resources into regions which are then subdivided into zones, which comprehend one or more datacenters from which customers can sprint their services. It currently has 15 regions made up of 44 zones: Google recommends customers deploy applications across multiple zones and regions to succor protect against unexpected failures.

Microsoft Azure divides its resources slightly differently. It offers regions which it describes as is a "set of datacentres deployed within a latency-defined perimeter and connected through a dedicated regional low-latency network". It furthermore offers 'geographies' typically containing two or more regions, that can breathe used by customers with specific data-residency and compliance needs "to retain their data and apps close". It furthermore offers availability zones made up of one or more data centres equipped with independent power, cooling and networking.

Cloud computing and power usage

Those data centers are furthermore sucking up a huge amount of power: for instance Microsoft recently struck a deal with GE to buy every single of the output from its unique 37-megawatt wind farm in Ireland for the next 15 years in order to power its cloud data centers. Ireland said it now expects data centers to account for 15 percent of total energy demand by 2026, up from less than two percent back in 2015.

Which are the ample cloud computing companies?

When it comes to IaaS and PaaS there are really only a few giant cloud providers. Leading the way is Amazon Web Services, and then the following pack of Microsoft's Azure, Google, IBM, and Alibaba. While the following pack might breathe growing fast, their combined revenues are still less than those of AWS, according to data from the Synergy Research Group.

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Synergy Research Group

Analysts 451 Research said that for many companies the strategy will breathe to exercise AWS and one other cloud provider, a policy they rehearse as AWS + 1. These ample players will dominate the delivery of cloud services: Gartner said two thirds of the spending on cloud computing services will fade through the top 10 public cloud providers through to 2021.

It's furthermore worth noting that while every single these companies are selling cloud services, they own different strengths and priorities. AWS is particularly strong in IaaS and PaaS, but has designs on pitiable up towards databases. Microsoft in contrast has a particular emphasis on SaaS thanks to Office 365 and its other software largely aimed at stay user productivity, but is furthermore trying to rapidly grow its IaaS and Paas offering through Azure.

Google Cloud Platform (GCP) (which furthermore offers office productivity tools) is somewhere between the two. IBM and Oracle's cloud businesses are furthermore made up of a combination of Saas and more infrastructure based offerings.

There are vast numbers of companies who own are offering applications through the cloud using a SaaS model. Salesforce is probably the best known of these.

AWS, Google Cloud Platform and Microsoft Azure - what is the difference?

The cloud giants own different strengths. While AWS and Microsoft's commercial cloud businesses are about the identical size, Microsoft includes Office 365 in its figures. IBM, Oracle, Google and Alibaba every single own sizeable cloud businesses too.

Increasingly the major cloud computing vendors are attempting to differentiate according to the services that they offer, especially if they can't compete with AWS and Microsoft in terms of scale. Google for instance is promoting its expertise around synthetic intelligence; Alibaba wants to attract customers who are interested in learning from its retail know-how. In a world where most companies will exercise at least one cloud provider and usually many more, IBM wants to position itself as the company that can manage every single these multiple clouds. Meanwhile AWS is pitching itself as the platform for builders, which is its unique hold on developers.

Cloud computing expense wars

The cost of some cloud computing services -- particularly virtual machines -- has been falling steadily thanks to continued competition between these ample players. There is some evidence that the expense cuts may spread to other services devotion storage and databases, as cloud vendors want to win the ample workloads that are pitiable out of enterprise datacenters and into the cloud. That's likely to breathe valid intelligence for customers and prices could still plunge further, as there remains a hefty margin in even the most commodity areas of cloud infrastructure services, devotion provision of virtual machines.

What is the future of cloud computing?

Cloud computing is still at a relatively early stage of adoption, despite its long history. Many companies are still considering which apps to slip and when. However, usage is only likely to climb as organisations find more restful with the conception of their data being somewhere other than a server in the basement. We're still relatively early into cloud adoption - some estimates suggest that only 10 percent of the workloads that could breathe slip own actually been transferred across. Those are the facile ones where the economics are arduous for CIOs to squabble with.

For the ease of the enterprise computing portfolio the economics of pitiable to the cloud may breathe less lucid cut. As a result cloud computing vendors are increasingly pushing cloud computing as an agent of digital transformation instead of focusing simply on cost. pitiable to the cloud can succor companies rethink traffic processes and accelerate traffic change, goes the argument, by helping to demolish down data and organisational silos. Some companies that need to boost momentum around their digital transformation programmes may find this controversy appealing; others may find enthusiasm for the cloud waning as the costs of making the switch add up.

Cloud computing case studies

There are plenty of examples of organisations deciding to fade down the cloud computing route: here are a few examples of recent announcements.

Previous coverage

The knack of the Hybrid Cloud

Cloud computing is gobbling up more of the services that power businesses. But, some own privacy, security, and regulatory demands that preclude the public cloud. Here's how to find the perquisite mix.

Cloud security and IoT are the unique peanut butter and jelly [Tech Pro Research]

For enterprises using cloud services with IoT, it's faultfinding to adhere to as many security practices as possible. Experts weigh in on the best approaches to take.

Public cloud, private cloud, or hybrid cloud: What's the difference?

Trying to understand and articulate the differences between public, private, and hybrid cloud? Here's a quick breakdown.

Read more on cloud computing


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