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C5050-280 | IBM Cloud Computing Infrastructure Architect V1

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C5050-280 - IBM Cloud Computing Infrastructure Architect V1 - braindump

Vendor IBM
Exam Number C5050-280
Exam Name IBM Cloud Computing Infrastructure Architect V1
Questions 98 Q & A
Recent Update January 16, 2019
Free PDF Download C5050-280 Brain Dump
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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
Q&A : 98 Real Questions

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IBM IBM Cloud Computing Infrastructure

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

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

facts CenterSource: Pixabay

The improvements from hyperscale infrastructure suppliers like Amazon, Microsoft, Google, and IBM are going to have an effect on business facts middle. This fashion 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 get 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 mature commercial offerings has given the confidence to business consumers.

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

In 2019, expect to peer a meteoric upward push 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 bet 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 – have 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 preliminary 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 normal 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 like 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, we will see the fashion the place custom chips will replace widely wide-spread software. The heavy lifting accomplished by software written for virtualization, pix, and HPC could be moved to aim-developed hardware that provides big 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 vigor business facts facilities.

Multi-cloud will no extra be a buzzword

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

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

In 2019, we will witness a style the place valued clientele will federate varied cloud structures to run a disbursed workload. They might also run 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 choose the best of breed suppliers to run elements of their workload.

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

The next phase of DevOps

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

normal DevOps equipment 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 make normal DevOps equipment less crucial.

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

The application of AI to DevOps will outcome in AIOps that reduces the want for guide 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 guide groups with intelligent 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, we can see two trends – the convergence of CaaS and FaaS, and standardization of FaaS.

Serverless turned into probably the most mentioned subject at KubeCon 2018 that concluded closing week. The trade is coming collectively to make Kubernetes the platform for deploying event-driven functions that are invoked in keeping with inner and exterior pursuits. subsequent 12 months, I expect to see FaaS becoming a firstclass citizen 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 effort | killexams.com Real Questions and Pass4sure dumps

Aaron Gregg

Reporter covering the defense business and Washington-enviornment organizations.

December 11

The government Accountability office has struck down a bid protest filed last month by using the computing significant IBM, handing a victory to defense branch officials who want to flip to a single provider for the Pentagon’s $10 billion Joint business 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 choice on the IBM protest introduced Tuesday, GAO stated it would leave the concern to the courts, noting that there become little difference 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 our workplace."

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

The contract is part of a broader effort to construct advanced artificial 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 keep technological dominance over China and Russia.

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

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

on the other hand, they have got been firm of their intention to award the JEDI contract to a single business. defense branch Chief counsel Officer Dana Deasy stated in a contemporary interview that moving to multiple company for that effort 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 make feel,” Deasy said.

Executives from Amazon net features, largely viewed as a front-runner on account of its earlier work with the CIA, have praised that strategy in media interviews. Oracle and IBM, which were taking part in capture-as much as win the mandatory government IT certifications that could put 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 have 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 single issuer is a nasty idea from a cybersecurity point of view.

“JEDI’s single-cloud method additionally would give dangerous actors only 1 goal to center of attention on should still they are looking to undermine the armed forces’s IT spine,” the business 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 contrary direction.”

With IBM’s bid protest out of how, both businesses ought to now appear 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 Real 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 force unmatched techniques efficiency, including acceleration, memory and that i/O bandwidth, encryption and compression speed, in addition to device scaling. It positions IBM and Samsung as strategic partners main the new era of high-performance computing exceptionally designed for AI.

“At IBM, our first precedence is our consumers,” mentioned John Acocella, vp of enterprise methods and technology development for IBM methods. “IBM chosen Samsung to construct our subsequent technology of microprocessors as a result of they share our degree of dedication to the performance, reliability, security, and innovation as a way to position our 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 part 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 our decade-lengthy strategic relationship with IBM with our 7nm EUV method 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 excessive performance EUV process technology.”

Samsung is a member of the OpenPOWER groundwork, a vendor ecosystem facilitating the building 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 increase the figuring out of purposes software in quantum computing for the trade.

source: IBM




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

Test Code : C5050-280
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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 real questions and Pass4sure dumps

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

Data CenterSource: Pixabay

The innovations from hyperscale infrastructure providers like Amazon, Microsoft, Google, and IBM are going to impact 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 get blurred.

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

The rise of containers & Kubernetes in the enterprise data center

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

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

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

Google has announced the preview of on-prem GKE that comes with tight integration of its proven Containers as a Service (CaaS) in the public cloud – Google Kubernetes Engine. Microsoft is moving fast 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 – have 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 like 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, we will see the trend where custom chips will replace generic software. The heavy 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 use of object storage for maintaining an additional layer of redundancy. Deploying the DR site in a different cloud platform is also a common use case of multi-cloud. But these patterns don't deliver the benefits of true multi-cloud adoption.

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

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

The next phase of DevOps

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

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

In 2019, we will witness a new wave of DevOps companies that deliver efficient CI/CD pipelines, better observability and security of microservices. Like other areas of infrastructure, containers are all 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 cause analysis to predictive scaling to intelligent monitoring, AIOps-based technology will become the smart operations tool. It may even replace L1 and L2 support teams with intelligent 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, we will see two trends – the convergence of CaaS and FaaS, and standardization of FaaS.

Serverless was the most discussed topic at KubeCon 2018 that concluded last week. The industry is coming together to make Kubernetes the platform for deploying event-driven functions that are invoked in response to internal and external events. Next year, I expect to see FaaS becoming a first-class citizen 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 real 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 have been racing to develop and offer high performance computing (HPC) infrastructure solutions that help make implementing AI easier, lower risk, and more affordable. IBM is no exception. In 2018, IBM established a brisk cadence of AI-related reference architectures, culminating in the recent announcement of IBM Spectrum AI with NVIDIA DGX, a high performance solution that combines industry acclaimed IBM Spectrum Scale software-defined storage with NVIDIA DGX-1 systems connected with Mellanox Infiniband networking. The new 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 make the infrastructure transformation necessary to enable AI complex, high risk, and costly, hindering adoption. To address these challenges, in June 2018 IBM announced the IBM Systems Reference Architecture for AI. Based on IBM PowerAI, IBM Spectrum Computing (the HPC-focused component), and IBM storage, this new reference architecture offers a proven solution for AI computing and deep learning that simplifies complex operations and reduces deployment and operational risk. Developed through realworld customer experience, the IBM Reference Architecture for AI provides a comprehensive guide to help organizations create successful AI infrastructure proofs-of-concept, expand these into production, and then scale the solutions as needed to accommodate AI application and data growth.

In August, IBM added fuel to its 2018 AI fire by announcing the IBM Power Systems Accelerated Computing Platform (IBM Power ACP). Currently, the two most powerful AI-enhanced supercomputers on the planet – Summit at Oak Ridge and Sierra at Lawrence Livermore National Labs – are built from IBM Power ACP elements. A key to these installations is the fact that they were assembled using only the same 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 help any organization easily build the onpremises infrastructure needed to support AI, HPC, and other compute-intensive workloads.

Headlining the IBM Power ACP offering is the IBM Power System Accelerated Compute Server – AC922 – the same servers used in the Summit and Sierra CORAL supercomputers. AC922 is designed for enterprise AI. With up to 1 TB of RAM, two 20-core IBM POWER9 processors, and up to four NVDIA Tesla GPUs connected through NVLINK, the AC922 server can handle the full range 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 all have one thing in common – miles and miles of data. Sources include sensor data, weather data, satellite data, behavioral and other personal data, diagnostic data, and more. Each connected car generates from a few megabytes to sometimes terabytes per car per day when that car is a test vehicle used to train AD models. These connected-cars initiatives can generate storage demand for upwards of 200 exabytes of data daily across entire fleets. 4 The IBM Storage for AD solution is based on IBM Cloud Object Storage in order to accommodate these enormous data streams, IBM Spectrum Discover to enhance and manage the file metadata, and IBM Spectrum Scale to provide comprehensive storage management and data services – the same storage software found in Summit and Sierra.

Finally, in mid-December IBM announced IBM Spectrum AI with NVIDIA DGX. The solution provides the ready-to-deploy robust infrastructure and software that AI projects need to ramp up quickly and grow confidently. Designed for NVIDIA DGX-1 systems, IBM Spectrum Scale software-defined storage, and Mellanox networking, IBM Spectrum AI with NVDIA DGX can 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 new RAPIDS framework to accelerate data science workflow.

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

To learn more about IBM SpectrumAI with NVIDIA DGX, visit this webpage and join 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 share data with IBM Cloud Object Storage and tape, with shared metadata services provided by IBM Spectrum Discover.

When it comes to transforming AI from dreams into reality, 2018 was a big year at IBM. The leader in AI technology announced new 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 business partners https://www.nvidia.com/en-us/data-center/dgx-reference-architecture/3 TechTarget Whatis definition: Deep Learning (https://searchenterpriseai.techtarget.com/definition/deep-learning-deepneural-network)4 IBM Solution Brief: IBM Storage solutions for advanced driver assistance systems and autonomous driving, October 2018 (https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=34019934USEN) 5 IBM lab testing of IBM Spectrum Scale on 3 NMVe arrays using 4k random reads driven by FIO on 9 NVIDIA DGX-1 systems connected with Mellanox EDR Infiniband


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

Video: Cloud storage - your best options

What is cloud computing, in simple terms?

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

How does cloud computing work?

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

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

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

What cloud computing services are available?

Cloud computing services cover a vast range of options now, from the basics of storage, networking, and processing power through to natural language processing and artificial intelligence as well as standard 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 like Gmail or the cloud back-up of the photos on your smartphone, though to the services which allow large enterprises to host all their data and run all of their applications in the cloud. Netflix relies on cloud computing services to run its its video streaming service and its other business systems too, and have 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 introduce new costs and new 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 irrelevant to the user. It's with this in mind that the metaphor of the cloud was borrowed from old 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 have to buy one themselves.

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

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

How important is the cloud?

Building the infrastructure to support cloud computing now accounts for more than a third of all IT spending worldwide, according to research from IDC. Meanwhile spending on traditional, in-house IT continues to slide as computing workloads continue to move 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 have gone all-in on it by 2021.

According to Gartner, global spending on cloud services will reach $260bn this year up from $219.6bn. It's also growing at a faster rate than the analysts expected. But it's not entirely clear how much of that demand is coming from businesses that actually want to move 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 move 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 building 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 all the elements themselves, but it does require firms to have the technical skills to be 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 new applications and services and had significantly cut 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 also include the tools and software that developers need to build applications on top of: that could include 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 irrelevant to the end 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 dominant cloud computing model in the medium term, accounting for two-thirds of all 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 make up more than half of all public cloud spending through 2019. Customer relationship management (CRM) applications and enterprise resource management (ERM) applications will account for more than 60 percent of all cloud applications spending through to 2021. The variety of applications delivered via SaaS is huge, from CRM such as Salesforce through to Microsoft's Office 365.

Cloud computing benefits

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

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

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

For a company with an application that has big peaks in usage, for example that is only used at a particular time of the week or year, it may make financial sense to have it hosted in the cloud, rather than have dedicated hardware and software laying idle for much of the time. Moving to a cloud hosted application for services like email or CRM could remove a burden on internal IT staff, and if such applications don't generate much competitive advantage, there will be little other impact. Moving to a services model also 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 also used by rivals. Moving to a SaaS application may also mean you are using the same applications as a rival, which may make it hard to create any competitive advantage if that application is core to your business.

While it may be easy to start using a new 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 knowledge 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 have 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 form of physical servers. This may allow companies to avoid large increases in IT spending which would traditionally be seen with new projects; using the cloud to make room 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 increase flexibility and relieve pressure on capital budgets," notes ZDNet's survey of IT budget predictions. Of course, this doesn't mean 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 keep in-house.

How do you build a business case for cloud computing?

To build a business case for moving systems to the cloud you first need to understand what your existing infrastructure actually costs. There's a lot to factor in: obvious things like the cost of running a data centers, and extras such as leased lines. The cost of physical hardware -- servers and details of specifications like CPUs, cores and RAM, plus the cost of storage. You'll also need to calculate the cost of applications - whether you plan to dump them, re-hosting them in the cloud unchanged, completely rebuilding them for the cloud or buying an entirely new SaaS package each option will have different cost implications. The cloud business case also needs to include people costs (often second only to the infrastructure costs) and more nebulous concepts like the benefit of being able to provide new services faster. Any cloud business 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 get 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 consider themselves to be 'cloud-first' organisations, and about a third run some kind of workloads in the cloud - while a quarter of firms insist they will never move on-demand.

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

Adoption will also vary by application: cloud-based email - is much easier to adopt than a new 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 consider 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 do remain about security, especially for companies moving their data between many cloud services, which has leading to growth in cloud security tools, which monitor data moving to and from the cloud and between cloud platforms. These tools can identify fraudulent use of data in the cloud, unauthorised downloads, and malware. There is a financial and performance impact however: these tools can reduce the return on investment of the cloud by five to 10 percent, and impact performance by five to 15 percent. The country of origin of cloud services is also worrying some organisations (see Is geography irrelevant 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 have vast amounts of computing power, which they share out between a large number of customers -- the 'multi-tenant' architecture. Their huge scale means they have enough spare capacity that they can easily cope if any particular customer needs more resources, which is why it is often used for less-sensitive applications that demand a varying amount of resources.

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Image: Gartner

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

What is private cloud?

Private cloud allows organizations to benefit from the some of the advantages of public cloud -- but without the concerns about relinquishing control over data and services, because it is tucked away behind the corporate firewall. Companies can control exactly where their data is being held and can build the infrastructure in a way they want - largely for IaaS or PaaS projects - to give developers access to a pool of computing power that scales on-demand without putting security at risk. However, that additional security comes at a cost, as few companies will have 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 include disaster recovery planning and the desire to avoid hardware costs when expanding their existing data center.

Cloud computing migration costs

For start-ups who plan to run all their systems in the cloud getting started is pretty simple. But the majority of companies it is not so simple: with existing applications and data they need to work out which systems are best left running as they, and which to start moving 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 complex or customised. A third of those surveyed said cited high fees for passing data between systems as a challenge in moving 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 right people they risked them being stolen away by cloud computing vendors with deep pockets. One third of those surveyed said their software database license costs drastically increased if they moved applications.

Beyond this the majority also remained worried about the performance of critical apps and one in three cited this as a reason for not moving some critical applications.

Is geography irrelevant 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 center 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 -- have 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 big cloud vendors have been building out a regional data center network so that organizations can keep their data in their own region.

In Germany, Microsoft has gone one step further, offering its Azure cloud services from two data centers, which have been set up to make 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 permission of customers or the data trustee. Expect to see cloud vendors opening more data centers around the world to cater to customers with requirements to keep data in specific locations.

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

Consultants Accenture have warned that 'digital fragmentation' is the result as different countries enact legislation to protect privacy and improve cyber security. While the aims of the laws is laudable, the impact is to raise costs for businesses. Three quarters of the 400 CIOs and CTOs surveyed expect to exit a geographic market, 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 business leaders surveyed believe that the increasing barriers to globalization will compromise their ability to: use or provide cloud-based services (cited by 54 percent of respondents, versus 14 percent that disagree); use or provide data and analytics services across national markets (54 percent versus 15 percent); and operate effectively across different national IT standards (58 percent versus 18 percent).

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

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

Cloud computing services are operated from giant datacenters around the world. AWS divides this up by 'regions' and 'availability zones'. Each AWS region is a separate geographic area, like 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 take both offline, but close enough together for business 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 include one or more datacenters from which customers can run their services. It currently has 15 regions made up of 44 zones: Google recommends customers deploy applications across multiple zones and regions to help 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 be used by customers with specific data-residency and compliance needs "to keep 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 example Microsoft recently struck a deal with GE to buy all of the output from its new 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 big 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 still less than those of AWS, according to data from the Synergy Research Group.

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Synergy Research Group

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

It's also worth noting that while all these companies are selling cloud services, they have different strengths and priorities. AWS is particularly strong in IaaS and PaaS, but has designs on moving up towards databases. Microsoft in contrast has a particular emphasis on SaaS thanks to Office 365 and its other software largely aimed at end 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 have 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 have 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 all have 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 example is promoting its expertise around artificial intelligence; Alibaba wants to attract customers who are interested in learning from its retail know-how. In a world where most companies will use at least one cloud provider and usually many more, IBM wants to position itself as the company that can manage all these multiple clouds. Meanwhile AWS is pitching itself as the platform for builders, which is its new 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 big players. There is some evidence that the price cuts may spread to other services like storage and databases, as cloud vendors want to win the big workloads that are moving out of enterprise datacenters and into the cloud. That's likely to be good news for customers and prices could still fall further, as there remains a hefty margin in even the most commodity areas of cloud infrastructure services, like provision of virtual machines.

What is the future of cloud computing?

Cloud computing is still at a relatively early stage of adoption, despite its long history. Many companies are still considering which apps to move and when. However, usage is only likely to climb as organisations get more comfortable with the idea of their data being somewhere other than a server in the basement. We're still relatively early into cloud adoption - some estimates suggest that only 10 percent of the workloads that could be move have actually been transferred across. Those are the easy ones where the economics are hard for CIOs to argue with.

For the rest of the enterprise computing portfolio the economics of moving to the cloud may be less clear cut. As a result cloud computing vendors are increasingly pushing cloud computing as an agent of digital transformation instead of focusing simply on cost. Moving to the cloud can help companies rethink business processes and accelerate business change, goes the argument, by helping to break 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 go down the cloud computing route: here are a few examples of recent announcements.

Previous coverage

The Art of the Hybrid Cloud

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

Cloud security and IoT are the new 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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