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Cloud computing enables businesses to store, manage, and process critical data by utilizing remote servers hosted on the internet. The increasing volume of data generation in websites and mobile apps, the growing emphasis on delivering customer-centric applications to drive customer satisfaction, and the growing need to control and reduce Capital Expenditure (CAPEX) and Operational Expenditure (OPEX) are just a few of the factors driving the growth of emerging technologies. Emerging technologies such as big data, artificial intelligence (AI), and machine learning (ML) are gaining traction, propelling the global cloud computing market forward. The growth of cloud computing services is being driven by major factors such as data security, faster Disaster Recovery (DR), and meeting compliance requirements.

Westford, USA, May 03, 2022 (GLOBE NEWSWIRE) -- The need to reduce risks, achieve scalability and flexibility in moving and storing data, reduce storage and infrastructure complexities, and increase business efficiency drives the cloud computing market's growth.

Enterprises are concerned about the upfront and ongoing costs of hosting data on-premises. Furthermore, electricity costs, employee expenses, and downtime issues are a few additional concerns for businesses. The current competitive environment and global economic conditions have hastened the adoption of cost-effective measures to restructure business models. The increasing shift of enterprises toward digital transformation and the acceleration of customer experience are a few more factors driving the adoption of cloud computing services, ultimately lowering enterprise costs. Furthermore, the cloud provides the benefit of a pay-as-you-go model, which allows enterprises to pay for cloud services based on their usage, resulting in lower costs. Because of benefits such as on-demand availability, start-ups and SMEs are increasingly turning to cloud services.

Read market research report, " Global Cloud Computing Market Segmented by Deployment Type (Private Cloud, Public Cloud, and Hybrid Cloud), Service Model (Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)), And Industry Vertical (Government, Military & Defense, Telecom & IT, Healthcare, Retail, and Others) & By Region - Forecast and Analysis 2021-2027 by SkyQuest

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Enterprises with existing infrastructure are moving toward cloud computing services and are willing to take a hybrid approach to reap the benefits of both on-premises and cloud services. SMEs are largely adopting cloud computing services due to significant benefits such as no initial infrastructure setup costs and on-demand computing service availability. These factors are helping to drive the adoption of hybrid cloud services in businesses. The hybrid cloud provides advantages such as improved workload management, increased security and compliance, and effective integration within DevOps teams. It also provides the flexibility to switch from on-premises to cloud or between clouds, as well as the scalability required to gain a competitive advantage over other companies. Increased user and resource mobility, ongoing cloud application migration, and the emergence of more sophisticated threats are driving organizations to adopt a hybrid cloud. Healthcare, BFSI, and government that prioritizes compliance, security, and customer experience use the hybrid deployment model. Furthermore, as cloud-based applications such as Dropbox, Facebook, and Gmail, among others, become more flexible and robust, the processing cycle in a real-time scenario must be faster. As a result, enterprises are shifting to Omni-cloud solutions to take advantage of numerous benefits such as ease of data use, effective decision making, secure data availability, and real-time scalability.

Cloud computing services assist businesses in increasing business efficiency and lowering costs. Furthermore, these services provide numerous benefits, such as flexibility, scalability, and agility. Despite the fact that the cloud provides numerous benefits and security measures, data stored in the cloud is still vulnerable to cyberattacks. The number of cyberattacks is rapidly increasing as the volume of data grows and enterprise initiatives toward digital transformation expand. Cyberattacks such as Spectre and Meltdown, as well as cloud malware injection attacks, account or service hijacking, and man-in-the-cloud attacks, expose enterprise data to vulnerabilities. These threats have the potential to cause business losses and shutdowns.

The top players in the Cloud Computing market are Google LLC, Amazon Web Services, Inc., Microsoft Inc., Alibaba Cloud International, IBM Corp., Yahoo, Inc., and Salesforce Inc. etc. New players are also entering the segment thus increasing its market penetration and therefore demand growing exponentially.

The report published by SkyQuest Technology Consulting provides in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions.

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SkyQuest has segmented the Global Cloud Computing Market based on Deployment Type, Service Model, Industry Vertical and Region:

Cloud Computing Market By Deployment Type (Revenue, USD Million, 2020 - 2027)

Private Cloud

Public Cloud

Hybrid Cloud

Cloud Computing Market By Service Model (Revenue, USD Million, 2020 - 2027)

Infrastructure as a Service (IaaS)

Platform as a Service (PaaS)

Software as a Service (SaaS)

Cloud Computing Market Industry Vertical (Revenue, USD Million, 2020 - 2027)

Government

Military & Defense

Telecom & IT

Healthcare

Retail

Others

Cloud Computing Market Regional Outlook (Revenue, USD Million, 2020 - 2027)

North America

Europe

Germany

France

UK

Italy

Spain

Rest of Europe

Asia Pacific

China

India

Japan

Rest of Asia Pacific

Central & South America

Middle East & Africa

GCC Countries

South Africa

Rest of MEA

List of Key Players of Cloud Computing Market

Accenture PLC (Ireland)

Adobe, Inc. (US)

Alibaba Cloud International (China)

Amazon Web Services, Inc. (US)

Apple, Inc. (US)

AT&T, Inc. (US)

Cisco Systems, Inc. (US)

Citrix Systems, Inc. (US)

Dell, Inc. (US)

Google LLC (US)

Hewlett Packard Enterprise Development LP (US)

IBM Corp. (US)

Intel Corp. (US)

Microsoft Corp. (US)

NetSuite, Inc. (US)

Oracle Corp. (US)

Salesforce.com, Inc. (US)

SAP SE (Germany)

Verizon Enterprise Solutions (US)

Yahoo, Inc. (US)

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The Global Cloud Computing Market is expected to reach a value of USD 750,100 Million by 2027, at a CAGR of 30.10% over the forecast period (2021 -...

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When it comes to information technology (IT), the whether and why discussion about cloud use is pretty much over. As noted in some recent analysis from Accenture, The last two years have laid bare the power and agility of cloudand a new understanding that cloud at scale is essential for operations maturity, and ultimately, value.

Even in the slow-to-digitize healthcare sector, contemporary estimates indicate around 90% of the industry has leveled-up to using some degree of cloud computing for some functions and in various incarnations (private-, public-, hybrid-, multi-cloud).

Supercharging IT with cloud power may now be essential, but that doesnt necessarily mean its simple. Despite an accelerated cloud adoption curve over the past couple of years, a huge swath of healthcare organizations still rely on infrastructure predating the advent of the iPhone. And as everyone knows, hordes of valuable data remain confined to countless racks of servers siloed in hospital basements and assorted colocation data centers far and wide.

Working with assemblages of those very old systems and very new cloud deployments can get very, very complicated.

Its difficult to rectify the sheer magnitude of differences in both fundamental operation and capability between legacy on-premise infrastructure and cloud infrastructure. Picture someone from the horse-and-buggy age being presented with access to a rocket ship and trying to conceptualize whether it will fit in the barn or what to feed it. Thats kind of where healthcare finds itself.

The world of technology moves at lightning speed. For a host of reasons, the healthcare sector has struggled to keep pace. What lies between is a gulf of IT complexity that stymies even the most sophisticated organizations. Thus a host of promising models and solutions are continually evolving to help bridge the gap. The latest of these is the supercloud.

Supercloud

The supercloud term dates back to a 2016 Cornell University project describing an architecture that enables application migration as a service across different availability zones or cloud providers. The supercloud provides interfaces to allocate, migrate, and terminate resources such as virtual machines and storage and presents a homogeneous network to tie these resources together[and] span across all major public cloud providersas well as private clouds.

Much of the current excitement about the concept is centered around making everything portable across existing hyperscalers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, and the big business potential in constructing specialized clouds on top of them. Trendy examples of this model can be found in Snowflakes recently launched Healthcare & Life Sciences Data Cloud and Databricks new Lakehouse for Healthcare and Life Sciences.

The central value of the supercloud concept really hinges on provisioning the best cutting edge technology available while simplifying the way the organization interacts with it. The real magic of cloud power today isnt really in portable IT workloads; its in the vendor-specific cloud-native services that the big hyperscalers supply. For example, Amazon Web Services has some really cool database and stream management technology. Microsoft Azure has some really cool storage technology. Google Cloud has some really cool machine learning technology. But your average healthcare business cant afford to staff a huge IT department that:

Its just not feasible.

However, cloud resources are now incredibly varied and accessible, with a large ecosystem of industry-specific cloud-based managed services specializing in these complexities. Which means the average healthcare organization can, indeed, afford to tap into supercloud power they just get it as a service.

Essentially, healthcare organizations can get a service layer designed for their industry with sets of application programming interfaces (APIs) that are called to implement best-of-breed cloud services in a hybrid fashion amongst the appropriate hyperscalers. The right cloud is picked for particular use cases, and a mesh service layer covers all of it. Unique compliance and security requirements are automated, and the underlying implementation complexities are hidden from the business users of those services. So the healthcare organizations IT department can pretty much offload tasks 1 through 3 and focus entirely on innovating ways to help the business.

Youll sometimes see a similar ideal touted as industry cloud. As recently noted by Brian Campbell of Deloitte Consulting in HealthITSecurity, Industry clouds are a portfolio of business transformation-focused solutions, assets, and accelerators that ultimately help to reinvent and transform the business side of that specific industry, supplying an excellent option for healthcare organizations looking to keep pace with the changing digital landscape.

Superpower

Regardless of how a healthcare organization goes about increasing IT agility, reducing complexity, and reinventing business processes, the cloud should be central to the effort. A simple fact has been established: Cloud power increases healthcare power.

To demonstrate, consider a recent six-month study where a team of researchers shattered the record for diagnosing rare genetic diseases with DNA sequencing, and set a new Guinness World Record of 5 hours and 2 minutes to sequence a patients genome. At Stanford Hospital, the team dedicated specialized flow cell sequencing hardware to try to speed sequencing a single patients genome. But the amount of data being produced overwhelmed the labs computational systems.

According to Stanford study team member Euan A. Ashley, We werent able to process the data fast enough. We had to completely rethink and revamp our data pipelines and storage systems. Team member Sneha Goenka found a way to funnel the data straight to a cloud-based storage system where computational power could be amplified enough to sift through the data in real time.

The results?

They were able to sequence and diagnose a genetic illness in 7 hours and 18 minutes, which is about twice as fast as the previous record. For one teenaged patient in their study, their sequencing data showed his condition was rooted in genetics within a matter of hours, and he was immediately placed on a heart transplant list. He received a new heart three weeks later, and as of January this year, his mom says hes doing exceptionally well.

Super!

Photo: shylendrahoode, Getty Images

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Supercharged IT, superclouds, and superpowered healthcare what they can deliver - MedCity News

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Advanced Micro Devices Inc.s data-center business will finally get its own spotlight.

After reporting record sales Tuesday and predicting another record this quarter, AMD AMD, +1.44% Chief Financial Officer Devinder Kumar said that beginning in the second quarter, the chip maker will delineate sales specifically from the division that has boosted its stock in recent years. This column has advocated, as have several Wall Street analysts, for AMD to break out this business segment separately for investors for more than two years.

AMD has appeared to be gaining some market share in the important server business at the expense of its biggest rival Intel Corp. INTC, +0.22%, but it was hard to compare the two directly because AMD did not provide raw sales information for its data-center segment, as Intel does. After closing its merger with chip maker Xilinx Inc. and announcing the acquisition of data-center software company Pensando in recent weeks, though, AMD plans to solve that problem.

From 2018: Why AMD believes it can challenge Intel in servers

While the change took too long, it arrives at a perfect time, as the information AMD does provide shows that the data-center business is booming. AMD said revenue from its data-center business doubled from a year ago, helping the segment in which it currently resides enterprise, embedded and semi custom group sales increase revenue 88%. Intel, in contrast, said it saw data-center sales jump 22% in the first quarter, which was solid but still a slower rate than AMDs. AMD will move from reporting two segments to four: data center, client, gaming and embedded.

There have been fears of a slowdown in spending by cloud companies, such as Amazon.com Inc. AMZN, -0.20%, so an independent data-center segment should show signs of that. When asked on the call about recent comments by some cloud companies about slowing down their investments, Chief Executive Lisa Su described AMDs demand as still robust.

We havent seen that, Su said. We havent seen that particular phenomena. We do see is that there needs to be good planning, so good planning with our server customers and our large cloud customers, and were doing that. And our planning extends beyond 2022, extends into 2023 as well. And from what we can see, its robust demand.

More from Therese:The pandemic PC boom is over, but its legacy will live on

The server, or data-center business, has always been a big potential growth area for AMD, after it spent years with very slim market share before Su decided to challenge Intel, the dominant player. AMD has been trying to return as a serious challenger in that market, a role it played for a few years in the early 2000s.

Its more recent success in servers has joined big gains from personal computers and gaming consoles, leading to AMDs first $5 billion quarter and predictions of its first $6 billion quarter in the current period, even as the overall PC market is now slowing after a huge boost during the pandemic.

Investors were clearly pleased with AMDs progress, sending shares up 7% in after-hours trading Tuesday. Maybe executives who are still refusing to break out important business segments such as Microsoft Corp. MSFT, -0.95% and its Azure cloud-computing business, or Meta Platforms Inc. FB, +0.43% and Instagram will see those gains and finally take the plunge as well.

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AMD will finally give investors its data-center data as business soars - MarketWatch

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Better, faster, and more efficient chips are driving down cloud operating costs and pushing prices lower, according to research from IT infrastructure standards and advisory group, the Uptime Institute.

With each generation of processor family, cloud pricing has trended downward with one notable exception, Owen Rogers, research director for cloud computing at Uptime Institute, explained in a write-up this week.

The research tracked Amazon Web Services (AWS) pricing across six generations of AMD and Intel CPUs and three generations of Nvidia GPUs using data obtained from the cloud providers price list API. While Rogers acknowledged AWS Graviton series of Arm-compatible CPUs, they werent included in testing.

All tests were conducted on AWS US-East-1 region, however, Rogers notes his findings should be similar across all AWS regions.

Of the eight AWS instances Rogers tracked, the majority saw a steady decline in customer pricing with each subsequent CPU generation. Pricing for the AWS m-family of general purpose instances, for example, dropped 50 percent from the first generation to present.

Some instances AWS storage optimized instances in particular saw even more precipitous pricing drops, which he attributed to other factors including memory and storage.

It comes as no surprise that CPU performance in these instances tends to improve with each generation, Rogers noted, citing the various performance and efficiency advantages to architectural and process improvements.

For example, AMDs third-gen Epyc Milan processor family and Intels Ice Lake family of Xeon Scalable processors claim a 19-20 percent performance advantage over previous-generation chips. Both families are now available in a variety of AWS instances, including a storage-optimized instance announced last week.

Users can expect greater processing speed with newer generations compared with older versions while paying less. The efficiency gap is more substantial than simply pricing suggests, he wrote, adding that it is plain to see in AWS pricing.

In other words, while intuitively you may think instances based on older processor tech should be less expensive, more modern, more power efficient instances are often priced lower to incentivize their adoption.

"However, how much of the cost savings AWS is passing on to its customers versus adding to its gross margin remains hidden from view, he wrote.

Some of this can be attributed to customer buying habits, specifically those that favor cost over performance. Because of this price pressure, cloud virtual instances are coming down in price, he wrote.

The exception to this rule are GPU instances, which have actually become more expensive with each generation, Rogers found.

His research tracked AWS g-and p-series GPU-accelerated instances over three and four generations, respectively, and found that the rapid growth of total performance alongside the rise of demanding AI/ML workloads have allowed cloud providers and Nvidia to rise prices.

Customers are willing to pay more for newer GPU instances if they deliver value in being able to solve complex problems quicker, he wrote.

Some of this can be chalked up to the fact that, until recently, customers looking to deploy workloads on these instances have had to do so on dedicated GPUs, as opposed to renting smaller virtual processing units. And while Rogers notes that customers, in large part, prefer to run their workloads this way, that may be changing.

Over the past few years, Nvidia which dominates the cloud GPU market has, for one, introduced features that allow customers to split GPUs into multiple independent virtual processing units using a technology called Multi-instance GPU or MIG for short. Debuted alongside Nvidias Ampere architecture in early 2020, the technology enables customers to split each physical GPU into up to seven individually addressable instances.

And with the chipmakers Hopper architecture and H100 GPUs, announced at GTC this spring, MIG gained per-instance isolation, I/O virtualization, and multi-tenancy, which open the door to their use in confidential computing environments.

Unfortunately for customers, taking advantage of these performance and cost savings isnt without risk. In most cases, workloads arent automatically migrated to newer, cheaper infrastructure, Rogers noted. Cloud subscribers ought to test their applications on newer virtual machine types before diving into a mass migration.

There may be unexpected issues of interoperability or downtime while the migration takes place, Rogers wrote, adding: Just as users plan server refreshes, they need to make virtual instance refreshes a part of their ongoing maintenance.

By supporting older generations cloud providers allow customers to upgrade at their own pace, Rogers said. The provider doesnt want to appear to be forcing the user into migrating applications that might not be compatible with the new server platforms.

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Concerned about cloud costs? Have you tried using newer virtual machines? - The Register

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Analysis The emergence of secure access service edge (SASE) dominated the networking market for the last few years as enterprises sought to address increasingly distributed IT environments.

SASE hit the lexicon after 2019 took hold as enterprises started to see a possible route in the convergence with software-defined WAN (SD-WAN) and network security functions for threat protection, zero-trust features, firewall-as-a-service (FWaaS) and cloud access security broker (CASB), all delivered as a cloud service.

Now comes security service edge (SSE), which pulls back the security functions in SASE into a unified services offering that includes CASB, zero-trust network architecture (ZTNA) and secure web gateway (SWG). SSE came in the wake of the COVID-19 pandemic, with most employees being sent home to work and putting in motion the ongoing trend toward hybrid work.

With many people working from home at least part of the time, the role of branch offices is lessened and the need for security features that follow workers where they are with work days starting from home and then moving to offices or other locations is growing.

What the role of SSE is in the larger network security space is and what it means for the future of SASE are the subjects of some debate in the industry. However, it puts a spotlight on the ongoing evolution of networking as the definition of work continues to change and the focus of IT shifts from the traditional central data center data and workloads in the cloud and at the edge.

Once the pandemic hit, "it was no longer about branch offices," said John Spiegel, director of strategy at Axis Security, which in April launched Atmos, its SSE platform. "It was our users taking their branch office to the home, to their garages, to their basements ... [and] collaborating with their fellow workers via Zoom. The whole thing changed and that's where we saw the utility of SD-WAN really decline."

Enterprises could put WAN devices in every employee's home, but that's expensive and complex, Spiegel told The Register.

"Instead, we pivoted back to this SSE model, which is really about delivering applications," he said. "At the end of the day, that's what a CIO, a leader cares about. It's the delivery of an application. We're getting down to that lowest common denominator and that's the user and that's really where secure service edge is and that's where we see the opportunity."

Gur Schatz, founder and COO at Cato Networks, sees it another way. The company recent months has added such features to its SASE platform as risk-based application access control to address what officials see as limitations in offerings that focus only on ZTNA and SSE and a CASB. People will continue to go to offices to work, there will always be SD-WAN and firewalls, data centers and cloud providers like Amazon Web Services and Microsoft Azure, Schatz told The Register.

The long-term trend will be adding more functions into the SASE environment, he said. SASE is not easy for enterprises to adopt and SSE is a step down the inevitable path toward SASE, which addresses issues of cost and complexity when trying to merge networking and security

"Maybe the topology changed from having branch offices communicating with headquarters to branch offices communicating with data centers or with SaaS applications, but the network is still there with you," Schatz said. "Everything converges and you have a single security posture that covers holistically what you need. It's unreasonable to get this amount of complexity and try to maintain security on top of it."

Gartner, which defined SASE, did the same with SSE last year and in February released its SSE Magic Quadrant, with Zscaler, Netskope and McAfee (which created Skyhigh Security by combining its SSE tools with FireEye's) as leaders and others like Palo Alto Networks, Cisco, Forcepoint and Lookout in play.

In addition, Gartner analysts last fall listed both SASE and SSE as must-have cloud security technologies for 2022, with SASE predicted to have a transformational impact in the next two to five year and SSE a high impact over three to five years.

While global SD-WAN revenue did slow in 2020 due to the pandemic and the dramatic to work-from-home, Dell'Oro Group analysts said the market came roaring back last year, growing 35 percent year-over-year and hitting record revenue of more than $2 billion as organizations optimized their branches for cloud services and adopted SD-WAN for their widely distributed workforce.

That said, there are issues with SD-WAN, including the costs that come with adopting it and an implementation phase that can take years, according to Netskope Chief Strategy Officer Jason Clark. In addition, SD-WAN tends to be an on-premises technology that addresses east-west network traffic, which doesn't fit as well when users are going into the cloud.

"For anything north-south, I'm going to my SSE," Clark told The Register.

SASE essentially has been trying to create a Frankenstein monster-like tool package, with network technologies coming from networking vendors and security tools from various security players, he said. Palo Alto is one of the few companies that owns both and is working to meld them together.

"The reality is that you have a really strong SD-WAN vendors who suck at security," Clark said. "You have really, really good security companies, but they're not SD-WAN companies. Then you've got people who are trying to play in the middle. What happened is the buyers told Gartner the security-minded buyers need the best-of-breed security. Two-thirds of them said, 'I need the best SD-WAN and I need the best security. I found nothing that does both awesome.'"

When a user moves off the SD-WAN and into the cloud from home, a lot of the controls in the on-prem network are gone. Netskope's worldwide network is designed to deliver security capabilities once the user hops into the cloud, which is important given that about half an enterprise's traffic is in the cloud, Clark said. Before the pandemic hit, it was about 15 percent, he said.

David Hughes, who was founder and CEO of SD-WAN vendor Silver Peak until Hewlett Packard Enterprise bought it last year for $925 million and folded it into its Aruba Networks business, said Gartner defining SSE is a plus because it clarifies what SASE is the on-prem SD-WAN and cloud-delivered security services.

"It gives the IT administrator a clearer idea of the tradeoffs they would be making if they go with one vendor for everything vs. going with a cloud vendor plus an on-prem vendor," Hughes, now Aruba's chief product and technology officer, told The Register.

"We've always felt that, especially for the larger enterprises, going with a leader in the cloud-delivered security plus a leader on-prem [is best]. That's what we see happening in the large enterprise. As you come down-market, there's a desire for being able to have one throat to choke. What the Magic Quadrant shows is as you come down there, you're having to make some compromises. The split in the analysis helps people see what those compromises might be."

However, the evolving demands for networking security will continue to push the market toward convergence, Cato's Schatz said.

"Eventually all roads lead to SASE," he said.

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SSE kicks the A out of SASE - The Register

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