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C5050-280 exam Dumps Source : IBM Cloud Computing Infrastructure Architect V1

Test Code : C5050-280
Test cognomen : IBM Cloud Computing Infrastructure Architect V1
Vendor cognomen : IBM
: 98 true Questions

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IBM IBM Cloud Computing Infrastructure

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

With the industry and public sector accelerating the adoption, cloud has become the brand recent norm. From the times of on-demand provisioning of compute and storage to FPGA and GPU-primarily based infrastructure, cloud computing has approach an extended means. Cloud computing has nearly reached the tipping factor.

facts CenterSource: Pixabay

The improvements from hyperscale infrastructure suppliers fancy Amazon, Microsoft, Google, and IBM are going to value an sequel on industry facts middle. This vogue will permit huge agencies to recall advantages of the efficiency and performance done via cloud providers. With this style, the line between on-premises infrastructure and public cloud will obtain blurred.

listed here are five traits of up to date infrastructure to keep out for in 2019:

the upward thrust of containers & Kubernetes within the enterprise statistics core

organisations are embracing containers at a a lot quicker tempo than anticipated. The thriving open supply neighborhood combined with the provision of develope commercial offerings has given the self-confidence to industry consumers.

Kubernetes has swirl into the entrance and core of industry container platform. From usual OS vendors to modern PaaS suppliers, each essential platform seller has a industry Kubernetes offering making it the brand recent operating gadget of the facts center.

In 2019, expect to peer a meteoric upward propel of Kubernetes in the commercial enterprise. Containers will redefine the hybrid cloud through bridging the hole between legacy and up to date applications and on-premises and public cloud infrastructure.

Google has announced the preview of on-prem GKE that incorporates tight integration of its proven Containers as a service (CaaS) within the public cloud – Google Kubernetes Engine. Microsoft is relocating quickly in bringing Azure Kubernetes provider to Azure Stack private cloud platform. IBM is making a wager on IBM Cloud inner most – a hybrid cloud platform in response to Kubernetes.

average PaaS has steadily transformed right into a container administration platform. PaaS trade leaders – purple Hat and Pivotal – value embraced Kubernetes because the basis of their platforms. 2019 will witness the complete transformation of PaaS into CaaS.

the availability of specialised hardware for area of interest workloads

throughout the introductory days of computing, the utility became written for ordinary hardware structure in response to Intel X86 or SPARC. ultimately, Intel grew to be the bottom commonplace denominator for OS companies and software providers.

Public cloud has modified the dynamics of hardware and CPU market. To power the size of economic system and effectivity, hyperscale suppliers fancy Amazon, Google, Microsoft, and facebook begun to build custom hardware and processors that complement Intel CPUs.

With area of interest workloads similar to desktop getting to know and high-efficiency computing fitting the Important thing drivers of public cloud adoption, hyperscale suppliers are turning to customized hardware to accelerate the performance of the functions.

In 2019, they will observe the vogue the Place custom chips will replace widely wide-spread software. The ponderous lifting accomplished by software written for virtualization, pix, and HPC could be moved to aim-developed hardware that provides magnificient efficiency and effectivity.

box programmable gate arrays (FPGA) used in Microsoft’s assignment Brainwave and proprietary accelerators corresponding to Google Cloud TPU will swirl into extra well-known in 2019. They may additionally even swirl into purchasable to vim industry facts facilities.

Multi-cloud will no extra be a buzzword

agencies are investing in diverse cloud platforms to reduce the casual of seller lock-in and single component of failure.

giant industry consumers are the employ of at least two cloud providers when running mission-crucial workloads. The regular pattern is the employ of demur storage for retaining an extra layer of redundancy. Deploying the DR web site in a unique cloud platform is additionally a common employ case of multi-cloud. however these patterns don't deliver the benefits of uniform multi-cloud adoption.

In 2019, they will witness a style the Place valued clientele will federate varied cloud structures to sprint a disbursed workload. They might furthermore sprint a legacy transactional database in one cloud platform whereas operating the data warehouse within the other. As cloud providers differentiate themselves with systems for working niche workloads, customers will elect the best of breed suppliers to sprint elements of their workload.

Kubernetes will evolve to become the textile of multi-cloud. shoppers focused on Kubernetes because the favored deployment goal will value the benefits of multi-cloud together with portability.

The next phase of DevOps

Two essential traits are going to value an sequel on the current DevOps model – Containers & AI.

normal DevOps outfit had been completely designed for provisioning, scheduling, configuring, and managing the lifecycle of digital machines. Containers introduced a distinct stage of abstraction that eradicated the should manage VMs at once. ideas similar to immutable infrastructure, infrastructure as code, and self-healing functions beget commonplace DevOps outfit less crucial.

In 2019, they are able to witness a recent wave of DevOps groups that deliver productive CI/CD pipelines, stronger observability and safety of microservices. fancy different areas of infrastructure, containers are complete set to disrupt the DevOps market.

The application of AI to DevOps will outcome in AIOps that reduces the want for usher intervention. From anomaly detection to root trigger analysis to predictive scaling to clever monitoring, AIOps-based expertise will swirl into the smart operations tool. it could possibly even change L1 and L2 usher groups with knowing automation.

AIOps will become a major vogue of 2019.

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

Serverless computing is no extra a buzzword. it is becoming one of the most fastest starting to be cloud carrier start fashions. Amazon, Google, IBM, and Microsoft offer serverless computing fashions of their respective public cloud environments.

capabilities as a carrier (FaaS) is one of the delivery fashions of serverless computing in which builders upload code snippets packaged as modular functions. These functions are invoked according to events generated by means of a number of external sources reminiscent of databases, storage containers, streams, and even consumer interfaces. AWS Lambda, Azure functions, Google Cloud functions and IBM Cloud features are one of the implementations within the public cloud.

In 2019, they can observe two trends – the convergence of CaaS and FaaS, and standardization of FaaS.

Serverless turned into probably the most mentioned topic at KubeCon 2018 that concluded closing week. The trade is coming collectively to beget Kubernetes the platform for deploying event-driven functions that are invoked in keeping with inner and exterior pursuits. subsequent 12 months, I expect to observe FaaS becoming a firstclass topic in the container world.

There could be efforts in defining common necessities for FaaS that brings portability and interoperability of functions.


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

Aaron Gregg

Reporter covering the defense industry and Washington-enviornment organizations.

December 11

The government Accountability office has struck down a bid protest filed ultimate month by using the computing significant IBM, handing a conquest to defense fork officials who want to flip to a single provider for the Pentagon’s $10 billion Joint industry protection Infrastructure cloud computing community, called JEDI.

The resolution got here simply a few weeks after the GAO ruled towards a similar challenge from Oracle, which in consequence took its case to the U.S. court docket of Federal Claims prior this week. in the option on the IBM protest introduced Tuesday, GAO stated it would leave the concern to the courts, noting that there become Little contrast between the arguments made by way of both businesses.

“We disregard the protest since the matter concerned is currently pending earlier than a court docket of equipped jurisdiction,” GAO conventional tips Thomas Armstrong wrote. “Oracle’s criticism before the [Court of Federal Claims] includes arguments which are the equal or comparable to assertions introduced in IBM’s protest to their workplace."

each businesses try to undo a Pentagon determination to point to to a single cloud-computing issuer for the JEDI contract, which has been described as a “pathfinder effort” intended to permit recent weapons capabilities that employ synthetic intelligence algorithms. The JEDI cloud application is estimated to value a $10 billion cost over a ten-yr time body, and officials value referred to it will account for about 16 p.c of the department’s ordinary cloud-computing work.

The contract is allotment of a broader application to construct advanced simulated intelligence algorithms into the Pentagon’s operations and weapons systems, some thing this is seen as pivotal to the U.S. militia’s means to reserve technological dominance over China and Russia.

Such a large, lengthy-term occasion has sparked a competitive frenzy from Beltway defense contractors and West Coast tech giants alike: Representatives from Amazon, Microsoft, IBM and Oracle verified their respective organizations submitted bids. officials value referred to they're going to award a contract in early 2019. (Amazon founder Jeffrey P. Bezos furthermore owns The Washington post.)

properly procurement officers value pointed out they're going to drudgery with a brace of company for the Pentagon’s broader cloud-computing infrastructure.

on the other hand, they value got been difficult of their intent to award the JEDI contract to a single business. defense fork Chief counsel Officer Dana Deasy stated in a synchronous interview that touching to multiple company for that application would “double or triple [the] complexity" of relocating legacy programs to the cloud.

“beginning with a few companies while on the identical time trying to build out an enterprise potential simply comfortably did not beget feel,” Deasy said.

Executives from Amazon net features, largely viewed as a front-runner on account of its earlier drudgery with the CIA, value praised that strategy in media interviews. Oracle and IBM, which were taking allotment in capture-as much as win the mandatory government IT certifications that could do them on a par with Amazon, both criticized that resolution from the second it changed into announced in early March.

Oracle became the primary to challenge that resolution, arguing in an Aug. 6 bid protest that turning to a single company would finally damage the Pentagon’s technological prowess by way of shutting it out of improvements happening at other agencies.

IBM jumped into the fray just days earlier than bids value been due in early October, arguing that the determination goes in opposition t brought up Trump administration policies highlighting the exigency for protection fork groups to adopt finest practices from the commercial company world.

IBM furthermore argued that going to a single issuer is a nasty concept from a cybersecurity point of view.

“JEDI’s single-cloud fashion additionally would give unsafe actors only 1 goal to heart of attention on should soundless they are looking to undermine the armed forces’s IT spine,” the industry wrote in a blog post. “the area’s largest companies are more and more relocating in a multi-cloud route as a result of safety, flexibility and resilience; the Pentagon is relocating in precisely the wayward direction.”

With IBM’s bid protest out of how, both businesses ought to now loom to the courtroom of Federal Claims to evaluate whether the fork has followed procurement regulations as it has structured the contract.


IBM Expands Strategic Partnership with Samsung to consist of 7nm Chip Manufacturing | killexams.com true Questions and Pass4sure dumps

ARMONK, N.Y., Dec. 20, 2018 — IBM today introduced an settlement with Samsung to manufacture 7-nanometer (nm) microprocessors for IBM power programs, IBM Z and LinuxONE, high-performance computing (HPC) methods, and cloud offerings.

The contract combines Samsung’s industry-main semiconductor manufacturing with IBM’s excessive-performance CPU designs. This combination is being designed to constrain unmatched techniques efficiency, including acceleration, recollection and that i/O bandwidth, encryption and compression speed, in addition to device scaling. It positions IBM and Samsung as strategic partners main the recent era of high-performance computing exceptionally designed for AI.

“At IBM, their first precedence is their consumers,” mentioned John Acocella, vp of enterprise methods and technology progress for IBM methods. “IBM chosen Samsung to construct their subsequent technology of microprocessors as a result of they share their degree of dedication to the performance, reliability, security, and innovation as a way to position their consumers for persisted success on the subsequent era of IBM hardware.”

nowadays’s announcement additionally expands and extends the 15-yr strategic technique expertise R&D partnership between both companies which, as allotment of IBM’s analysis Alliance, comprises many industry firsts such because the first NanoSheet device innovation for sub 5nm, the production of the business’s first 7nm check chip and the first excessive-okay metallic Gate foundry manufacturing. IBM’s analysis Alliance ecosystem continues to define the management roadmap for the semiconductor trade.

“we're excited to extend their decade-lengthy strategic relationship with IBM with their 7nm EUV fashion expertise,” mentioned Ryan Lee, vice chairman of Foundry marketing at Samsung Electronics. “This collaboration is an Important milestone for Samsung’s foundry enterprise as it signifies self assurance in Samsung’s cutting-edge extreme performance EUV process technology.”

Samsung is a member of the OpenPOWER groundwork, a vendor ecosystem facilitating the edifice of IBM vigour architecture-primarily based custom-made servers, networking and storage for future records centers and cloud computing. Samsung is furthermore a member of the Q network to aid enlarge the figuring out of purposes software in quantum computing for the trade.

source: IBM




Killexams.com C5050-280 Dumps and true Questions

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C5050-280 exam Dumps Source : IBM Cloud Computing Infrastructure Architect V1

Test Code : C5050-280
Test cognomen : IBM Cloud Computing Infrastructure Architect V1
Vendor cognomen : IBM
: 98 true 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 true questions and Pass4sure dumps

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

Data CenterSource: Pixabay

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

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

The tower 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 develope commercial offerings has given the self-confidence to enterprise customers.

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

In 2019, expect to observe a meteoric tower 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 touching expeditiously 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 – value 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 fancy 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 observe the trend where custom chips will replace generic software. The ponderous lifting done by software written for virtualization, graphics, and HPC will be 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 be 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 employ of demur storage for maintaining an additional layer of redundancy. Deploying the DR site in a different cloud platform is furthermore a common employ case of multi-cloud. But these patterns don't deliver the benefits of uniform 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 elect 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 value the benefits of multi-cloud along with portability.

The next phase of DevOps

Two major trends are going to repercussion 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 flush of abstraction that eliminated the exigency to manage VMs directly. Concepts such as immutable infrastructure, infrastructure as code, and self-healing applications beget traditional DevOps tools less relevant.

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

The application of AI to DevOps will result in AIOps that reduces the exigency for manual intervention. From anomaly detection to root antecedent analysis to predictive scaling to knowing monitoring, AIOps-based technology will become the smart operations tool. It may even replace L1 and L2 back teams with knowing 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 observe two trends – the convergence of CaaS and FaaS, and standardization of FaaS.

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

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


A Year of AI Transformation | killexams.com true 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 value been racing to develop and offer tall performance computing (HPC) infrastructure solutions that back beget 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 tall performance solution that combines industry acclaimed IBM Spectrum Scale software-defined storage with NVIDIA DGX-1 systems connected with Mellanox Infiniband networking. The recent 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 beget the infrastructure transformation necessary to enable AI complex, tall 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 recent reference architecture offers a proven solution for AI computing and abysmal 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 usher to back 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 – climax 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 same 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 back any organization easily build the onpremises infrastructure needed to back AI, HPC, and other compute-intensive workloads.

Headlining the IBM Power ACP offering is the IBM Power System Accelerated Compute Server – AC922 – the same servers used in the climax 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 compass 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 complete value one thing in common – miles and miles of data. Sources embrace 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 demur Storage in order to accommodate these mammoth 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 same storage software institute in climax 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 exigency 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 be 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 recent RAPIDS framework to accelerate data science workflow.

IBM Spectrum Scale can be deployed in configurations from a single IBM ESS to back 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 feasible 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 glance has demonstrated 120GB/s of data throughput, 5 enough to back multiple users and multiple AI models simultaneously.

To learn more about IBM SpectrumAI with NVIDIA DGX, visit this webpage and associate 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 demur 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 magnificient year at IBM. The leader in AI technology announced recent AI reference architectures, released multiple AI infrastructure solutions across IBM Systems and now with NVIDIA, and even accelerated the progress 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 industry partners https://www.nvidia.com/en-us/data-center/dgx-reference-architecture/3 TechTarget Whatis definition: abysmal 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 exigency to know about the cloud, explained | killexams.com true 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 profit 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 employ it.

In turn, providers of cloud computing services can profit from significant economies of scale by delivering the same services to a wide compass of customers.

What cloud computing services are available?

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

What are examples of cloud computing?

Cloud computing underpins a vast number of services. That includes consumer services fancy Gmail or the cloud back-up of the photos on your smartphone, though to the services which allow large enterprises to host complete their data and sprint complete of their applications in the cloud. Netflix relies on cloud computing services to sprint its its video streaming service and its other industry systems too, and value 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 recent costs and recent 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 impertinent to the user. It's with this in intuition that the metaphor of the cloud was borrowed from customary 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 value to buy one themselves.

These 'time-sharing' services were largely overtaken by the tower of the PC which made owning a computer much more affordable, and then in swirl by the tower 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 Important is the cloud?

Building the infrastructure to back cloud computing now accounts for more than a third of complete IT spending worldwide, according to research from IDC. Meanwhile spending on traditional, in-house IT continues to skid as computing workloads continue to skid 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 be 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 value 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 pellucid how much of that demand is coming from businesses that actually want to skid 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 skid 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 be broken down into three cloud computing models. Infrastructure-as-a-Service (IaaS) refers to the fundamental edifice blocks of computing that can be 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 complete the elements themselves, but it does require firms to value the technical skills to be 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 recent applications and services and had significantly carve on-going maintenance costs. However, half said IaaS isn't secure enough for most critical 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 embrace the tools and software that developers exigency to build applications on top of: that could embrace middleware, database management, operating systems, and progress 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 impertinent to the close 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 preeminent cloud computing model in the medium term, accounting for two-thirds of complete 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 be dominated by applications purchases, which will beget up more than half of complete public cloud spending through 2019. Customer relationship management (CRM) applications and enterprise resource management (ERM) applications will account for more than 60 percent of complete 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 character 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 complete taken dependence of by the supplier. For commodity applications, such as email, it can beget 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 value better skills and more experienced staff than a minute industry could afford to hire, so cloud services may be able to deliver a more secure and efficient service to close users.

Using cloud services means companies can skid faster on projects and test out concepts without lengthy procurement and magnificient upfront costs, because firms only pay for the resources they consume. This concept of industry agility is often mentioned by cloud advocates as a key benefit. The ability to spin up recent services without the time and application associated with traditional IT procurement should stand for that is easier to obtain going with recent applications faster. And if a recent application turns out to be a wildly well-liked the elastic nature of the cloud means it is easier to scale it up fast.

For a company with an application that has magnificient peaks in usage, for sample that is only used at a particular time of the week or year, it may beget financial sense to value it hosted in the cloud, rather than value dedicated hardware and software laying idle for much of the time. touching to a cloud hosted application for services fancy email or CRM could remove a tribulation on internal IT staff, and if such applications don't generate much competitive advantage, there will be Little other impact. touching to a services model furthermore moves spending from capex to opex, which may be 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 be more economical to provide that service in-house.

Some companies may be reluctant to host sensitive data in a service that is furthermore used by rivals. touching to a SaaS application may furthermore stand for you are using the same applications as a rival, which may beget it difficult to create any competitive handicap if that application is core to your business.

While it may be light to start using a recent cloud application, migrating existing data or apps to the cloud may be 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 proportion 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 value 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 contour of physical servers. This may allow companies to avoid large increases in IT spending which would traditionally be seen with recent projects; using the cloud to beget latitude in the budget may be easier than going to the CFO and looking for more money.

"CIOs are increasingly turning to cloud infrastructure and services in order to enlarge flexibility and relieve pressure on capital budgets," notes ZDNet's survey of IT budget predictions. Of course, this doesn't stand for 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 be cheaper (from a processing power point of view at least) to reserve in-house.

How conclude you build a industry case for cloud computing?

To build a industry case for touching systems to the cloud you first exigency to understand what your existing infrastructure actually costs. There's a lot to factor in: obvious things fancy the cost of running a data centers, and extras such as leased lines. The cost of physical hardware -- servers and details of specifications fancy CPUs, cores and RAM, plus the cost of storage. You'll furthermore exigency to calculate the cost of applications - whether you procedure to dump them, re-hosting them in the cloud unchanged, completely rebuilding them for the cloud or buying an entirely recent SaaS package each option will value different cost implications. The cloud industry case furthermore needs to embrace people costs (often second only to the infrastructure costs) and more nebulous concepts fancy the profit of being able to provide recent services faster. Any cloud industry 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 difficult to obtain 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 reckon themselves to be 'cloud-first' organisations, and about a third sprint some kindly of workloads in the cloud - while a quarter of firms insist they will never skid on-demand.

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

Adoption will furthermore vary by application: cloud-based email - is much easier to adopt than a recent 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 be 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 reckon cloud computing to be 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 be more leaky than systems monitored by a cloud provider's engineers dedicated to protecting that infrastructure.

However, concerns conclude remain about security, especially for companies touching their data between many cloud services, which has leading to growth in cloud security tools, which monitor data touching to and from the cloud and between cloud platforms. These tools can identify fraudulent employ of data in the cloud, unauthorised downloads, and malware. There is a financial and performance repercussion however: these tools can reduce the return on investment of the cloud by five to 10 percent, and repercussion performance by five to 15 percent. The country of inception of cloud services is furthermore worrying some organisations (see Is geography impertinent 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 ability to rapidly scale a service. The cloud computing suppliers value vast amounts of computing power, which they share out between a large number of customers -- the 'multi-tenant' architecture. Their huge scale means they value 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 expend $128 billion on public cloud this year, says IDC

What is private cloud?

Private cloud allows organizations to profit 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 value the scale of AWS, Microsoft or Google, which means they will not be able to create the same economies of scale. Still, for companies that require additional security, private cloud may be 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 embrace disaster recovery planning and the wish to avoid hardware costs when expanding their existing data center.

Cloud computing migration costs

For start-ups who procedure to sprint complete 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 exigency to drudgery out which systems are best left running as they, and which to start touching 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 exigency 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 tall fees for passing data between systems as a challenge in touching 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 right people they risked them being stolen away by cloud computing vendors with abysmal 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 critical apps and one in three cited this as a intuition for not touching some critical applications.

Is geography impertinent 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 heart 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 -- value 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 be accessed by US law enforcement. As a result the magnificient cloud vendors value been edifice out a regional data heart network so that organizations can reserve their data in their own region.

In Germany, Microsoft has gone one step further, offering its Azure cloud services from two data centers, which value been set up to beget 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 leave of customers or the data trustee. expect to observe cloud vendors opening more data centers around the world to cater to customers with requirements to reserve data in specific locations.

And regulation of cloud computing varies widely elsewhere across the world: for sample AWS recently sold a chunk of its cloud infrastructure in China to its local ally 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 exigency to reckon 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 same for other types of services too.

Consultants Accenture value warned that 'digital fragmentation' is the result as different countries enact legislation to protect privacy and help cyber security. While the aims of the laws is laudable, the repercussion is to raise costs for businesses. Three quarters of the 400 CIOs and CTOs surveyed expect to exit a geographic market, delay 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 industry leaders surveyed believe that the increasing barriers to globalization will compromise their ability to: employ or provide cloud-based services (cited by 54 percent of respondents, versus 14 percent that disagree); employ 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 constrain 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 part geographic area, fancy 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 recall both offline, but close enough together for industry 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 embrace 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 back 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 be used by customers with specific data-residency and compliance needs "to reserve 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 sample Microsoft recently struck a deal with GE to buy complete of the output from its recent 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 magnificient 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 be growing fast, their combined revenues are soundless 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 be to employ AWS and one other cloud provider, a policy they characterize as AWS + 1. These magnificient players will dominate the delivery of cloud services: Gartner said two thirds of the spending on cloud computing services will skid through the top 10 public cloud providers through to 2021.

It's furthermore worth noting that while complete these companies are selling cloud services, they value different strengths and priorities. AWS is particularly tough in IaaS and PaaS, but has designs on touching up towards databases. Microsoft in contrast has a particular emphasis on SaaS thanks to Office 365 and its other software largely aimed at close 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 value 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 value different strengths. While AWS and Microsoft's commercial cloud businesses are about the same size, Microsoft includes Office 365 in its figures. IBM, Oracle, Google and Alibaba complete value 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 sample is promoting its expertise around simulated intelligence; Alibaba wants to attract customers who are interested in learning from its retail know-how. In a world where most companies will employ at least one cloud provider and usually many more, IBM wants to position itself as the company that can manage complete these multiple clouds. Meanwhile AWS is pitching itself as the platform for builders, which is its recent recall on developers.

Cloud computing price wars

The cost of some cloud computing services -- particularly virtual machines -- has been falling steadily thanks to continued competition between these magnificient players. There is some evidence that the price cuts may spread to other services fancy storage and databases, as cloud vendors want to win the magnificient workloads that are touching out of enterprise datacenters and into the cloud. That's likely to be magnificient news for customers and prices could soundless topple further, as there remains a hefty margin in even the most commodity areas of cloud infrastructure services, fancy provision of virtual machines.

What is the future of cloud computing?

Cloud computing is soundless at a relatively early stage of adoption, despite its long history. Many companies are soundless considering which apps to skid and when. However, usage is only likely to climb as organisations obtain more restful with the concept of their data being somewhere other than a server in the basement. We're soundless relatively early into cloud adoption - some estimates intimate that only 10 percent of the workloads that could be skid value actually been transferred across. Those are the light ones where the economics are difficult for CIOs to argue with.

For the repose of the enterprise computing portfolio the economics of touching to the cloud may be less pellucid cut. As a result cloud computing vendors are increasingly pushing cloud computing as an agent of digital transformation instead of focusing simply on cost. touching to the cloud can back companies rethink industry processes and accelerate industry change, goes the argument, by helping to fracture down data and organisational silos. Some companies that exigency to boost momentum around their digital transformation programmes may find this argument 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 skid down the cloud computing route: here are a few examples of recent announcements.

Previous coverage

The technique of the Hybrid Cloud

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

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

For enterprises using cloud services with IoT, it's critical 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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