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C5050-280 IBM Cloud Computing Infrastructure Architect V1

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

Test Code : C5050-280
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IBM IBM Cloud Computing Infrastructure

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

With the commerce 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 near an extended means. Cloud computing has nearly reached the tipping factor.

facts CenterSource: Pixabay

The improvements from hyperscale infrastructure suppliers devotion Amazon, Microsoft, Google, and IBM are going to enjoy an sequel on commerce facts middle. This mode will permit huge agencies to Take advantages of the efficiency and performance done via cloud providers. With this style, the line between on-premises infrastructure and public cloud will accumulate blurred.

listed here are five traits of up to date infrastructure to observe 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 ripen commercial offerings has given the self-confidence to commerce consumers.

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

In 2019, hope to peer a meteoric upward shove 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 pot on IBM Cloud inner most – a hybrid cloud platform in response to Kubernetes.

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

the availability of specialised hardware for zone of interest workloads

throughout the preliminary days of computing, the utility became written for ordinary hardware structure in response to Intel X86 or SPARC. ultimately, Intel grew to live the bottom household 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 devotion Amazon, Google, Microsoft, and facebook begun to build custom hardware and processors that complement Intel CPUs.

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

In 2019, they will remark the mode the status custom chips will supersede widely wide-spread software. The massive lifting accomplished by software written for virtualization, pix, and HPC could live moved to aim-developed hardware that provides colossal efficiency and effectivity.

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

Multi-cloud will no extra live a buzzword

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

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

In 2019, they will witness a style the status valued clientele will federate varied cloud structures to dash a disbursed workload. They might also dash 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 pick the best of breed suppliers to dash elements of their workload.

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

The next angle of DevOps

Two essential traits are going to enjoy 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 earn household 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. devotion 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 pilot intervention. From anomaly detection to root trigger analysis to predictive scaling to clever monitoring, AIOps-based expertise will turn into the smart operations tool. it could possibly even change L1 and L2 pilot groups with bright 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 live 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 remark two trends – the convergence of CaaS and FaaS, and standardization of FaaS.

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

There could live 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 endeavor | killexams.com existent Questions and Pass4sure dumps

Aaron Gregg

Reporter covering the defense commerce and Washington-enviornment organizations.

December 11

The government Accountability office has struck down a bid protest filed eventual month by using the computing significant IBM, handing a conquest to defense branch officials who want to flip to a separate provider for the Pentagon’s $10 billion Joint commerce 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 preference on the IBM protest introduced Tuesday, GAO stated it would leave the concern to the courts, noting that there become cramped incompatibility between the arguments made by route 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 decision to present to a separate 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 endeavor is estimated to enjoy a $10 billion cost over a ten-yr time body, and officials enjoy referred to it will account for about 16 p.c of the department’s ordinary cloud-computing work.

The compress is section of a broader endeavor 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 sustain technological dominance over China and Russia.

Such a large, lengthy-term opening 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 enjoy referred to they're going to award a compress in early 2019. (Amazon founder Jeffrey P. Bezos also owns The Washington post.)

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

on the other hand, they enjoy got been firm of their purpose to award the JEDI compress to a separate business. defense branch Chief counsel Officer Dana Deasy stated in a simultaneous interview that poignant to multiple company for that endeavor 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 earn feel,” Deasy said.

Executives from Amazon net features, largely viewed as a front-runner on account of its earlier labor with the CIA, enjoy praised that strategy in media interviews. Oracle and IBM, which were taking section in capture-as much as win the mandatory government IT certifications that could allot 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 separate company would finally damage the Pentagon’s technological prowess by route of shutting it out of improvements happening at other agencies.

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

IBM also argued that going to a separate issuer is a nasty understanding from a cybersecurity point of view.

“JEDI’s single-cloud mode additionally would give hazardous actors only 1 goal to headquarters of attention on should noiseless they are looking to undermine the armed forces’s IT spine,” the commerce 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 ornery direction.”

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


IBM Expands Strategic Partnership with Samsung to consist of 7nm Chip Manufacturing | killexams.com existent 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 compress combines Samsung’s industry-main semiconductor manufacturing with IBM’s excessive-performance CPU designs. This combination is being designed to compel unmatched techniques efficiency, including acceleration, reminiscence 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 development for IBM methods. “IBM chosen Samsung to construct their subsequent technology of microprocessors as a result of they participate their degree of dedication to the performance, reliability, security, and innovation as a route 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 section 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 mode expertise,” mentioned Ryan Lee, vice chairman of Foundry marketing at Samsung Electronics. “This collaboration is an principal milestone for Samsung’s foundry enterprise as it signifies self assurance in Samsung’s cutting-edge unreasonable 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 also a member of the Q network to aid enlarge the figuring out of purposes software in quantum computing for the trade.

source: IBM


C5050-280 IBM Cloud Computing Infrastructure Architect V1

Study pilot Prepared by Killexams.com IBM Dumps Experts


Killexams.com C5050-280 Dumps and existent Questions

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

Test Code : C5050-280
Test name : IBM Cloud Computing Infrastructure Architect V1
Vendor name : IBM
exam questions : 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 recent norm. From the days of on-demand provisioning of compute and storage to FPGA and GPU-based infrastructure, cloud computing has near 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 repercussion enterprise data center. This trend will enable large enterprises to Take advantages of the efficiency and performance achieved by cloud providers. With this trend, the line between on-premises infrastructure and public cloud will accumulate blurred.

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

The surge 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 self-confidence 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 recent operating system of the data center.

In 2019, hope to remark a meteoric surge 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 poignant mercurial 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 – enjoy 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 remark the trend where custom chips will supersede generic software. The massive lifting done by software written for virtualization, graphics, and HPC will live 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 live a buzzword

Enterprises are investing in multiple cloud platforms to reduce the risk of vendor lock-in and separate 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 remonstrate storage for maintaining an additional layer of redundancy. Deploying the DR site in a different cloud platform is also a common exercise case of multi-cloud. But these patterns don't deliver the benefits of wholehearted multi-cloud adoption.

In 2019, they will witness a trend where customers will federate multiple cloud platforms to dash a distributed workload. They may dash 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 pick the best of breed providers to dash parts of their workload.

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

The next angle 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 flat of abstraction that eliminated the need to manage VMs directly. Concepts such as immutable infrastructure, infrastructure as code, and self-healing applications earn 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. devotion 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 need for manual intervention. From anomaly detection to root antecedent analysis to predictive scaling to bright monitoring, AIOps-based technology will become the smart operations tool. It may even supersede L1 and L2 uphold teams with bright 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 remark 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 earn Kubernetes the platform for deploying event-driven functions that are invoked in response to internal and external events. Next year, I hope to remark FaaS becoming a first-class citizen in the container world.

There will live 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 enjoy been racing to develop and offer tall performance computing (HPC) infrastructure solutions that mitigate earn 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 earn 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 profound learning that simplifies tangled operations and reduces deployment and operational risk. Developed through realworld customer experience, the IBM Reference Architecture for AI provides a comprehensive pilot to mitigate 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 – acme 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 very commercially available components as found 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 mitigate any organization easily build the onpremises infrastructure needed to uphold AI, HPC, and other compute-intensive workloads.

Headlining the IBM Power ACP offering is the IBM Power System Accelerated Compute Server – AC922 – the very servers used in the acme 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 maneuver the complete purview 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 enjoy one thing in common – miles and miles of data. Sources involve 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 require for upwards of 200 exabytes of data daily across entire fleets. 4 The IBM Storage for AD solution is based on IBM Cloud remonstrate Storage in order to accommodate these vast data streams, IBM Spectrum learn to enhance and manage the file metadata, and IBM Spectrum Scale to provide comprehensive storage management and data services – the very storage software found in acme 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 live 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 live deployed in configurations from a separate IBM ESS to uphold 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 practicable 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 glitter has demonstrated 120GB/s of data throughput, 5 enough to uphold multiple users and multiple AI models simultaneously.

To learn more about IBM SpectrumAI with NVIDIA DGX, visit this webpage and combine 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 also provide storage services across different storage choices, including AWS public cloud. IBM Spectrum Scale can participate data with IBM Cloud remonstrate 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 colossal 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 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 commerce partners https://www.nvidia.com/en-us/data-center/dgx-reference-architecture/3 TechTarget Whatis definition: profound 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 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 exercise it.

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

What cloud computing services are available?

Cloud computing services cover a vast purview of options now, from the basics of storage, networking, and processing power through to natural language processing and simulated intelligence as well as gauge office applications. Pretty much any service that doesn't require you to live physically nigh to the computer hardware that you are using can now live 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 complete their data and dash complete of their applications in the cloud. Netflix relies on cloud computing services to dash its its video streaming service and its other commerce systems too, and enjoy 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 also interpolate 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 extraneous to the user. It's with this in mind that the metaphor of the cloud was borrowed from venerable 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 enjoy to buy one themselves.

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

Building the infrastructure to uphold 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 coast as computing workloads continue to run 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 live 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 enjoy gone all-in on it by 2021.

According to Gartner, global spending on cloud services will attain $260bn this year up from $219.6bn. It's also growing at a faster rate than the analysts expected. But it's not entirely lucid how much of that require is coming from businesses that actually want to run 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 run 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 live broken down into three cloud computing models. Infrastructure-as-a-Service (IaaS) refers to the fundamental edifice blocks of computing that can live 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 enjoy the technical skills to live able to orchestrate services at that level. Research by Oracle found that two thirds of IaaS users said using online infrastructure makes it easier to innovate, had Cut their time to deploy recent applications and services and had significantly Cut on-going maintenance costs. However, half said IaaS isn't secure enough for most censorious 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 also involve the tools and software that developers need to build applications on top of: that could involve 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 conclude 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 live dominated by applications purchases, which will earn 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 supervision of by the supplier. For commodity applications, such as email, it can earn sense to switch to a cloud provider, rather than depend on in-house skills. A company that specializes in running and securing these services is likely to enjoy better skills and more experienced staff than a minuscule commerce could afford to hire, so cloud services may live able to deliver a more secure and efficient service to conclude users.

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

For a company with an application that has colossal peaks in usage, for instance that is only used at a particular time of the week or year, it may earn monetary sense to enjoy it hosted in the cloud, rather than enjoy dedicated hardware and software laying idle for much of the time. poignant to a cloud hosted application for services devotion email or CRM could remove a burden on internal IT staff, and if such applications don't generate much competitive advantage, there will live cramped other impact. poignant to a services model also moves spending from capex to opex, which may live 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 live more economical to provide that service in-house.

Some companies may live reluctant to host sensitive data in a service that is also used by rivals. poignant to a SaaS application may also weighin you are using the very applications as a rival, which may earn it hard to create any competitive advantage if that application is core to your business.

While it may live light to start using a recent cloud application, migrating existing data or apps to the cloud may live 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 learning in particularly short supply.

In one recent report a significant symmetry 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 enjoy 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 configuration of physical servers. This may allow companies to avoid large increases in IT spending which would traditionally live seen with recent projects; using the cloud to earn latitude in the budget may live 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 mitigate pressure on capital budgets," notes ZDNet's survey of IT budget predictions. Of course, this doesn't weighin that cloud computing is always or necessarily cheaper that keeping applications in house; for applications with a predictable and stable require for computing power may live cheaper (from a processing power point of view at least) to sustain in-house.

How sequel you build a commerce case for cloud computing?

To build a commerce case for poignant 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 also need to reckon the cost of applications - whether you draw 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 enjoy different cost implications. The cloud commerce case also needs to involve people costs (often second only to the infrastructure costs) and more nebulous concepts devotion the profit of being able to provide recent services faster. Any cloud commerce case should also factor in the potential downsides, including the risk of being locked into one vendor for your tech infrastructure.

Cloud computing adoption

It's hard to accumulate 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 live 'cloud-first' organisations, and about a third dash some kindhearted of workloads in the cloud - while a quarter of firms insist they will never run on-demand.

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

Adoption will also 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 live 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 live 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 live 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 poignant their data between many cloud services, which has leading to growth in cloud security tools, which monitor data poignant 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 monetary and performance repercussion however: these tools can reduce the revert on investment of the cloud by five to 10 percent, and repercussion performance by five to 15 percent. The country of origin of cloud services is also 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 ability to rapidly scale a service. The cloud computing suppliers enjoy vast amounts of computing power, which they participate out between a large number of customers -- the 'multi-tenant' architecture. Their huge scale means they enjoy 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 require 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 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 route 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 enjoy the scale of AWS, Microsoft or Google, which means they will not live able to create the very economies of scale. Still, for companies that require additional security, private cloud may live 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 involve disaster recovery planning and the want to avoid hardware costs when expanding their existing data center.

Cloud computing migration costs

For start-ups who draw to dash 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 need to labor out which systems are best left running as they, and which to start poignant 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 found that the need to rewrite applications to optimise them for the cloud was one of the biggest costs, especially if the apps were tangled or customised. A third of those surveyed said cited tall fees for passing data between systems as a challenge in poignant their mission-critical applications.

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

Beyond this the majority also remained worried about the performance of censorious apps and one in three cited this as a understanding for not poignant some censorious 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 -- enjoy 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 live accessed by US law enforcement. As a result the colossal cloud vendors enjoy been edifice out a regional data headquarters network so that organizations can sustain their data in their own region.

In Germany, Microsoft has gone one step further, offering its Azure cloud services from two data centers, which enjoy been set up to earn it much harder for US authorities -- and others -- to require 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. hope to remark cloud vendors opening more data centers around the world to cater to customers with requirements to sustain 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 colleague 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 reckon the country of origin when it comes to adding cloud services into their supply chains. While it was warning about antivirus software in particular, the issue is the very for other types of services too.

Consultants Accenture enjoy warned that 'digital fragmentation' is the result as different countries enact legislation to protect privacy and better 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 hope 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 commerce leaders surveyed believe that the increasing barriers to globalization will compromise their ability 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 compel 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, 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 separate disaster won't Take both offline, but nigh enough together for commerce 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 involve one or more datacenters from which customers can dash their services. It currently has 15 regions made up of 44 zones: Google recommends customers deploy applications across multiple zones and regions to mitigate 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 also offers 'geographies' typically containing two or more regions, that can live used by customers with specific data-residency and compliance needs "to sustain their data and apps close". It also 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 also sucking up a huge amount of power: for instance 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 require by 2026, up from less than two percent back in 2015.

Which are the colossal cloud computing companies?

When it comes to IaaS and PaaS there are really only a few giant cloud providers. Leading the route is Amazon Web Services, and then the following pack of Microsoft's Azure, Google, IBM, and Alibaba. While the following pack might live growing fast, their combined revenues are noiseless 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 live to exercise AWS and one other cloud provider, a policy they recount as AWS + 1. These colossal players will dominate the delivery of cloud services: Gartner said two thirds of the spending on cloud computing services will depart through the top 10 public cloud providers through to 2021.

It's also worth noting that while complete these companies are selling cloud services, they enjoy different strengths and priorities. AWS is particularly tenacious in IaaS and PaaS, but has designs on poignant up towards databases. Microsoft in contrast has a particular stress on SaaS thanks to Office 365 and its other software largely aimed at conclude user productivity, but is also trying to rapidly grow its IaaS and Paas offering through Azure.

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

There are vast numbers of companies who enjoy 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 enjoy different strengths. While AWS and Microsoft's commercial cloud businesses are about the very size, Microsoft includes Office 365 in its figures. IBM, Oracle, Google and Alibaba complete enjoy 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 simulated 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 complete these multiple clouds. Meanwhile AWS is pitching itself as the platform for builders, which is its recent Take 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 colossal players. There is some evidence that the price cuts may spread to other services devotion storage and databases, as cloud vendors want to win the colossal workloads that are poignant out of enterprise datacenters and into the cloud. That's likely to live profitable intelligence for customers and prices could noiseless 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 noiseless at a relatively early stage of adoption, despite its long history. Many companies are noiseless considering which apps to run and when. However, usage is only likely to climb as organisations accumulate more restful with the understanding of their data being somewhere other than a server in the basement. We're noiseless relatively early into cloud adoption - some estimates suggest that only 10 percent of the workloads that could live run enjoy actually been transferred across. Those are the light ones where the economics are hard for CIOs to wrangle with.

For the leisure of the enterprise computing portfolio the economics of poignant to the cloud may live 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. poignant to the cloud can mitigate companies rethink commerce processes and accelerate commerce change, goes the argument, by helping to crack down data and organisational silos. Some companies that need 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 depart 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 enjoy privacy, security, and regulatory demands that preclude the public cloud. Here's how to find the privilege mix.

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

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