Category Archives: Cloud Computing

Microsoft CEO Satya Nadella and Salesforce CEO Marc Benioff in 2014.

Source: Microsoft

There were a lot of tech trends in the 2010s, from mobile computing and web-delivered content to the technology-powered gig economy. But no story was more powerful and pervasive than the emergence of the cloud.

Dropbox and Slack became household names during the past decade, Salesforce gained enterprise ubiquity, and Microsoft and Adobe revitalized their businesses by shifting from packaged software to cloud-based subscriptions, lifting their stock prices to record highs.

Formerly a side project, Amazon Web Services now generates $35 billion in annual revenue by allowing clients to offload their storage and computing needs to a third party, while ServiceNow, whose technology helps IT managers improve productivity, joined the S&P 500 last month after its market cap topped $50 billion.

In the past, companies, schools and government agencies operated their own data centers and bought expensive licenses to use software on their equipment, adding in hefty maintenance and update fees. The cloud changed all that, switching the applications that employees use every day as well as all the underlying databases, servers and communications equipment into services that can be delivered remotely to a host of devices over powerful networks. Customer service was upgraded, with a focus on user feedback, to keep clients from quitting their subscriptions and moving to rivals.

For investors, the paradigm shift presented an opportunity to put money into older companies positioned to make the transition, as well as a whole new crop of start-ups poised to take market share from the legacy providers. Slack, Twilio, Zoom and Okta were all founded in 2008 or later and are each now valued at over $10 billion on the public market. A bunch more are in the $5 billion range, and more still are filling up the IPO pipeline for 2020 and beyond.

Brad Gerstner, founder of Altimeter Capital, counts Salesforce as one of his top holdings and was a venture investor in Okta and Twilio. In a TV interview this month alongside Okta co-founder Frederic Kerrest, Gerstner told CNBC that the big bet has paid off.

"It really comes down to something that we talked about nearly a decade ago," said Gerstner, whose firm oversees more than $5 billion in assets, referring to his initial conversations with Okta. "We have a once in probably our lifetime rearchitecture of the entire enterprise stack into the cloud."

According to Synergy Research, 2019 revenue from enterprise software-as-a-service (SaaS) will exceed $100 billion, up from less than $4 billion in 2009. Adding up all layers of the stack, from the underlying infrastructure to the applications, IT service firm Gartner says cloud revenue will end the year at $214.3 billion, jumping to $331.2 billion by 2022.

In a $3.7 trillion global IT market with low single-digit expansion, annual cloud growth of greater than 15% is leading investors to bid up the cloud standouts in both the public and private markets.

If you're looking for the poster child of the cloud evolution, you may find it on the outskirts of Seattle.

In 2014, facing sluggish growth and disappointing investor returns, Microsoft turned to Satya Nadella to succeed Steve Ballmer as CEO, the first change at the top in 14 years. Nadella, who had previously run Microsoft's cloud and enterprise group, told employees on day one of his tenure, "Our job is to ensure that Microsoft thrives in a mobile and cloud-first world."

Weeks later Nadella announced that Office apps were coming to Apple iPads, giving customers more flexibility and showing that it was a new day at Microsoft. Office 365, the cloud version of Microsoft's flagship product, was launched in 2011, but the Apple integration was critical in bringing Word, Excel, PowerPoint and SharePoint to people who were choosing a competitor's hardware.

By 2017, commercial revenue for Office 365 had exceeded Office license revenue.

"I think the biggest event of the decade was Microsoft launching Office 365," said Todd McKinnon, CEO and co-founder of Okta who previously spent five years at Salesforce. "It was very clear that the largest software company in the world is saying, 'Cloud is good, Cloud will work, Cloud is sanctioned.' It changed the mindset of the IT industry."

Okta Conference hosts Facebook VP of Platform Partnerships Sean Ryan, Slack VP of Product April Underwood, Okta CEO Todd McKinnon, Box CEO Aaron Levie Zoom, and CEO Eric Yuan and moderator Brad Stone

Source: Harriet Taylor

McKinnon saw the movement firsthand. His company provides identity management software so businesses can securely control all of the cloud applications that employees are using.

"Companies of every size and every industry that we'd been having conversations with for years came back to us and said, 'This is real, this is happening, we need a real identity story,'" McKinnon said.

Meanwhile, Microsoft was also building Azure, its cloud infrastructure service that would eventually become the clear No. 2 to AWS, attracting as customers large retailers, health-care providers, banks and the U.S. Department of Defense along the way. Microsoft doesn't disclose Azure revenue, but it does report growth, which reached 59% in the third quarter.

Since the end of 2009, Microsoft's stock has jumped 417%, beating the S&P 500's 189% gain. This year it became the third company to reach a $1 trillion market capitalization.

Amazon isn't far behind at $889 billion, as of Monday's close. Much of Amazon's 1,233% stock surge over the last decade can be attributed to AWS, which in the latest quarter accounted for 71% of its parent company's operating income and 13% of revenue. Analysts at Jefferies said in a November report that AWS could be worth about 40% of the company's market cap, and the unit has gotten so big that it's now reportedly attracting antitrust scrutiny.

Salesforce, the company most synonymous with SaaS, has also taken advantage of investments made by the infrastructure players. In 2016, Salesforce said it would use AWS to expand its Sales Cloud and Service Cloud internationally and has since announced plans to use some services from Google and Microsoft's cloud.

While Salesforce is the biggest company that was born in the cloud, Adobe is the largest software maker to transition the majority of its business to the new model. Investors have rewarded the company, pushing the stock up ninefold since the beginning of the decade.

In 2009, subscriptions represented 3% of revenue. Two years later, Adobe introduced Creative Cloud, ushering in monthly and annual plans for access to apps like PhotoShop, along with cloud storage. Now, subscriptions account for about 90% of sales, and the company is growing at rates not seen since 1991.

"What we were able to do in terms of moving to this new way of delivering software was unshackle our product teams from the burdens of delivering products every 12 or 18 months and they could deliver at the pace at which they could innovate," CEO Shantanu Narayen said at Adobe's financial analyst meeting in November. "We were able to attract new customers to the platform, we were able to price these products globally differently."

Autodesk was founded in 1982, just like Adobe. It's undertaken a similar endeavor, moving its popular design and architecture software to the cloud. Carl Bass, Autodesk's CEO from 2006 to 2017, said in 2013 that the company "can get pretty close to subscriptions being the vast majority of our business."

He was proven right. In the most recent quarter, subscriptions accounted for 85% of sales, pushing total revenue up 28% from a year earlier. The stock has gained 620% since the end of 2009.

As Microsoft, Adobe and Autodesk were revamping their businesses, new venture-backed SaaS vendors were popping up by the month, unbundling the old software suites with targeted applications and solutions. The attrition rate has been high, but there are notable successes.

Videoconferencing company Zoom, which went public this year, reported revenue growth of 85% in the most recent quarter to $166.6 million. Twilio, a provider of communications infrastructure that went public in 2016, generated growth of 75% to $295.1 million in the third quarter. Newly public companies Elastic, Smartsheet and Coupa each reported growth in excess of 50%.

They're among the top performers in the BVP Nasdaq Emerging Cloud Index, a group of public companies that get most of their revenue from cloud products and services. Venture capital firm Bessemer Venture Partners launched the index in 2013 to bring more attention to cloud companies and provide metrics so private cloud companies could better understand public markets.

The index has risen 458% since it was formed, topping the Nasdaq's 146% jump over that stretch. In September, asset manager WisdomTree launched the WisdomTree Cloud Computing Fund, making it possible for people to bet on the group.

"We'd get tweets every week of, 'How can I trade this? How can I trade this?'" said Byron Deeter, who invests in cloud at Bessemer and sits on Twilio's board.

Rob Bernshteyn, CEO of Coupa, has been tracking cloud software since its infancy. While working at Siebel Systems in the early 2000s, he met Salesforce co-founder Marc Benioff and was skeptical of whether the company could provide cloud-based technology for many different purposes without extensive customization, even though Salesforce was already winning deals against Siebel.

"It wasn't really definitively clear to me that it could really work," Bernshteyn said in an interview at Coupa's Silicon Valley headquarters, where the server closets are filled with beanbags that employees use as chairs.

Over time, Bernshteyn said Salesforce fixed its technical issues. He considered joining the company but went to a younger cloud software provider called SuccessFactors, which was later acquired by SAP.

Bernshteyn left in 2009, in the middle of the financial crisis, and joined a small start-up that was helping companies track their spending to make sure they weren't being fleeced by vendors. That company, Coupa, is now worth over $9 billion and generating revenue of over $100 million a quarter.

But not all cloud stocks have delivered for investors.

Dropbox is 15% below its IPO price from 2018. Growth at the one-time venture darling has slowed amid competition from Google and Microsoft in the cloud storage and collaboration market.

Business intelligence software company Domo is up just 10% from its IPO in mid-2018 and way below where it was valued in the private markets before the offering. Yext, whose service helps businesses keep information like their addresses and hours up to date on Google and Amazon Alexa, is up 32% since its debut in 2017, underperforming the major indexes.

At 22% and 30% sales growth, respectively, Domo and Yext are expanding at a slower pace than many of their cloud counterparts, while still racking up big losses. It's a tough recipe for investors.

Yext CEO Howard Lerman is bullish on the broader sector. "Obviously at some point over the next decade, spending on cloud software will surpass licensed software," he said.

For venture investors, there's also plenty of money still to be made, assuming the public markets are on board. Deeter of Bessmer Ventures said there are 66 private cloud companies worth more than $1 billion.

"That's your future IPO pipeline," he said. "You're going to see this cloud index explode."

WATCH: Coupa CEO says there is a $50 billion addressable market in cloud expense management

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Amazon's second act, Microsoft's revival and red-hot IPOs highlighted the decade of the cloud - CNBC

2019 has been a year of profound change as organisations across the globe have recognised the importance of digital transformation. As a result, more businesses have started experimenting and deploying new smart tools and workflow solutions which in return have enabled rapid information sharing, increased productivity and automation of some of the more mundane tasks. According to Y Soft Corporation, companies have recognised how Cloud has become a crucial part of their companys print IT strategy and this transformation is set to go even further with the advent of Edge computing disrupting the print sector.

In light of this transformation, Ross Penman, Head of Global Delivery Management at Y Soft, notes the following key predictions for the year ahead:

1. Cloud and Edge computing

While cloud adoption has been around for several years now, plenty of companies still struggle to move into the cloud completely because of old legacy technology and hardware. However, in a world of increased remote and flexible working, cloud adoption will not only help companies to improve their overall productivity, but it can also help companies to improve costs and risk management.

In the next 12 months more companies will see a cloud approach as a crucial part of their business strategy. By prioritising models such as Software-as-a-Service and Platform-as-a-Service companies can begin to consume applications without having to invest in skills to build solutions themselves from the ground up. Following on from this, more companies will also begin exploring Edge computing as part of the print setup to solve issues that Cloud can introduce, such as latency and bandwidth costs, which can, in turn, impact productivity and efficiency.

2. Green credentials

Sustainable lifestyles have become increasingly important not only for individuals but for organisations no matter how large or small they might be. Green movements such as Extinction Rebellion have created a huge political movement that has made climate change more imperative. As a result, individuals hold organisations more accountable than ever before, not only for their consumption but also for their contribution to the environment. Organisations are expected to improve their green credentials and do more to achieve energy efficiency goals. For most companies, print IT will play a huge role in this and organisations are expected to report on elements such as how many trees are used to print as well as report on their water and energy consumption. As a result, more companies will adopt automated scan workflows, which transform paper-based work processes into digital workflows, helping companies to keep track of their consumption and be more productive, while focusing on their core everyday tasks.

3. Security and identity

While security has always played a crucial role for IT staff, the huge amount of high-profile data breaches in recent years have made businesses more security-conscious than ever before. As companies continue to adopt smarter and integrated workflow solutions, the security of the entire system must be considered as a whole. Unfortunately, too often the security of the print IT is overlooked. However, print hacks such as the PiewDiePie incident showed that organisations can never play it safe.

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Therefore, better collaboration between an enterprise solution provider, the MFD service provider and an organisations IT department is crucial. In addition, companies that adopt a good identity management will not only improve their overall security but will also simplify the complexity of managing multiple sets of credentials. This is especially important as more people within organisations adopt flexible and remote working.

4. Reseller and customer agility

Customers have recognised that having one integrated supplier across all their hardware and software solutions will not only reduce overall costs but also provide a smoother and much more integrated experience. It is important that resellers should look to make software that supports this demand and integrate with key manufacturers in the tech space. In addition, resellers should harness new technologies to refurbish old legacy technology rather than try to completely replace them.

5. Artificial intelligence

While many predicted at the beginning of 2019 that artificial intelligence and robotics would eliminate a huge number of jobs by 2020, there is now a consensus that the increased efficiencies delivered through these technologies could actually result in more jobs. In the next 12 months, more companies will experiment with AI and robotics to run security and quality assurance tests on software and hardware solutions. This in return will help companies to detect security attacks, programme mistakes, and viruses much more quickly in addition to providing higher quality products and services.

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2020 vision: Y-Soft print industry predictions - Gigabit Magazine - Technology News, Magazine and Website

The benefits of operational efficiency and flexibility delivered by public cloud resources have encouraged todays organizations to migrate applications and data to external computing platforms located outside the perceived security of on-premises infrastructures. Many businesses are now adopting a cloud-first design approach that emphasizes elastic scalability and cost reduction above ownership and management, and, in some cases, security.

Analyzing global trends in public cloud services, Gartner has predicted that spending on these resources will increase from $182.4B in 2018 to $331.2B in 2022, with 30 percent of all new software investments being cloud native by the end of 2019.

Trusting Someone Else to Guard Your Secrets

The benefits of third-party infrastructure and applications, however, come with risks. Deploying sensitive applications and data on computing platforms that are outside of an organizations owned and managed infrastructure requires trust in the service providers hardware and software used to process, and ultimately protect, that data.

Trusting a cloud provider can be disastrous for an organization financially and reputation-wise if they are the subject of a successful cyber-attack. In its Ninth Annual Cost of Cybercrime Study, Accenture reported that in 2018 the average cost of cyber-attacks involving either a malicious insider or the execution of malicious code was $3M per year, according to participants.

Confidential Computing

One response to the problem of the trustworthiness of the cloud when it comes to data protection has been the emergence of the Trusted Execution Environment (TEE), which has led to the concept of confidential computing. Industry leaders joined together to form the Confidential Computing Consortium (CCC) in October.

The Confidential Computing Consortium looks to address the security issues around data in use, enabling encrypted data to be processed in memory without exposing it to the rest of the system. This is the first industry-wide initiative by industry leaders to address data in use, since todays encryption security approaches mostly focus on data at rest or data in transit. The work of the Confidential Computing Consortium is especially important as companies move more workloads to multiple environments, including on premises, public cloud, hybrid, and edge environments.

Secure Enclaves

One of the most important technologies for addressing the problem of protecting data in use can be found in the form of secure enclaves, such as the protected memory regions established by Intel Software Guard Extensions (SGX). Secure enclaves allow applications to execute securely and be enforced at the hardware level by the CPU itself. All data is encrypted in memory and decrypted only while being used inside the CPU: the data remains completely protected, even if the operating system, hypervisor or root user is compromised. With secure enclaves, data can be fully protected across its entire lifecycle at rest, in motion and in use for the first time.

Secure enclaves can offer further security benefits using a process called attestation to verify that the CPU is genuine, and that the deployed application is the correct one and hasnt been altered.

Operating in secure enclaves with attestation gives users complete confidence that code is running as intended and that data is completely protected during processing. This approach is gaining traction, for example it enables sensitive applications, including data analytics, Machine Learning, and Artificial Intelligence, to run safely in the cloud with regulatory compliance.

Runtime Encryption

Encryption is a proven approach for effective data security, particularly when protecting data at rest and data in motion. However, as discussed above, a key requirement for confidential computing, and the focus of the Confidential Computing Consortium, is protecting data in use. When an application starts to run, its data is vulnerable to a variety of attacks, including malicious insiders, root users, credential compromise, OS zero-day, and network intruders.

Runtime encryption provides deterministic security with hardware-aided memory encryption for applications to protect data in use. Through optimization of the Trusted Computing Base (TCB), it enables encrypted data to be processed in memory without exposing it to the rest of the system.

This reduces the risks to sensitive data and provides greater control and transparency for users. Runtime encryption provides complete cryptographic protection for applications by running them securely inside a TEE and defending them even from root users and physical access to the server.

Expanding the Circle of Trust

The number one concern cited by enterprises in their move to the cloud continues to be security. Confidential computing and protecting data in use gives sensitive applications a safe place that protects them from todays infrastructure attacks.

Confidential computing is critical for protecting cloud data, and it is fundamentally helping establish and expand the circle of trust in cloud computing. It creates isolated runtime environments that allow execution of sensitive applications in a protected state, keeping cloud apps and data completely secure when in use.

With secure enclaves and runtime encryption supporting confidential computing, customers know that, no matter what happens, their data remains cryptographically protected. No amount of zero-day attacks, infrastructure compromises, and even government subpoenas can compromise the data. Confidential computing expands the deterministic security needed for the most sensitive cloud applications, at the performance level demanded by modern Internet-scale applications.

A Secure Cloud Future

As Gartner has reported, businesses are migrating their sensitive data and applications to public cloud services, a practice that saves them from ownership and maintenance of infrastructure that will inevitably be obsolete in the future.

Leading technology providers have recognized that confidential computing provides a security model ready to address the problems of untrusted hardware and software that have hampered this transition to the cloud.

With a growing number of use cases, and interest and deployments surging, confidential computing environments will be relied on to protect data in growing areas such as industry 4.0, digital health, the Internet of Things (IoT), and federated machine learning systems.

As the Confidential Computing Consortium continues its work, individuals and businesses may at some point expect a confidential computing architecture as a prerequisite for the exchange and processing of our private data.

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Extending the Circle of Trust with Confidential Computing - Infosecurity Magazine

The cloud was on everyones mind this past year; with so many questions rising surrounding how to secure cloud environments to what type of cloud is best for the organization.

Cloud computing has revealed countless new dimensions to IT. There are public clouds, private clouds, distributed clouds, and hybrid, multi-cloud architectures.

An actual hybrid cloud will allow for large and small and critical and casual workloads to be seamlessly transitioned between on-premise private cloud infrastructure and any public cloud employed by any organization based on whatever criteria a customer architects. The current output of new technologies has this space exploding with possibilities.

Here, executives of leading companies offer 11 predictions for what's ahead in 2020 for cloud.

The Cloud Disillusionment blossoms because the meter is always running: Companies that rushed to the cloud finish their first phase of projects and realize that they have the same applications they had running before that do not take advantage of new data sources to make them supercharged with AI. In fact, their operating expenses actually have increased because the savings in human operators were completely overwhelmed by the cost of the cloud compute resources for applications that are always on. Ouch. These resources were capitalized before on-premise but now hit the P&L. - Monte Zweben, CEO, Splice Machine

Multi-cloud strategies increase the demand for application management tool adoption: Multi-cloud strategies are here to stay. Companies are increasingly adopting more than one platformeither for financial leverage or to create a time-to-market or feature race between the platforms. To remain competitive, public cloud providers must offer unique features or capabilities differentiating them from competitors. This has created an upsurge in new and more complex technologies, increasing the need for application performance management tool adoption. 2020 will bring an ever-increasing demand for APM tools and services.- David Wagner, senior manager, product marketing application management, SolarWinds

The Rise of the Hybrid Cloud Infrastructure -- Putting the Right Data in the Right Place: Today when people refer to the cloud, they usually mean the public cloud. In 2020, the term cloud might become more nuanced as private clouds rise in popularity and organizations increasingly pursue a hybrid cloud storage strategy. Organizations with large-scale storage needssuch as those in healthcare, scientific research, and media and entertainmentface unique challenges in managing capacity-intensive workloads that can reach tens of petabytes. Private clouds address these challenges by providing the scale and flexibility benefits of public clouds along with the performance, access, security and control advantages of on-premises storage. In 2020, well see more organizations taking advantage of private clouds in a hybrid cloud infrastructure storing frequently used data on-prem while continuing to utilize the public cloud for disaster recovery.- Jon Toor, CMO, Cloudian

Best-of-Breed cloud is coming under the name of Hybrid: Public cloud vendors have extortionately high prices. The public cloud makes sense for small-and-medium sized businesses. Those businesses dont have the scope to amortize their engineering spend. Public clouds dont make sense for technology companies. Companies like Bank of America have gone on record as saving 2 billion dollars per year by not using the public cloud. A best-of-breed architecture envisions building blocks within the technical stack, then selects not from a single cloud vendor, but from the variety of service providers. Assumptions that a given cloud provider has the lowest or best prices, or that the cost of networking between clouds is prohibitive, becomes less and less true. - Brian Bulkowski, CTO at Yellowbrick Data

Organizations will grapple with scaling multi-cloud, hybrid, edge/fog and more: In 2020, in-memory computing will disrupt both NoSQL and traditional database technologies, and streaming analytics will emerge as the preferred approach for data integration. Low-latency in-memory platforms for streaming will define a new paradigm for performance in this space, further disrupting traditional approaches. Multi-cloud will also emerge as the preferred strategy to build and integrate applications. In response, enterprises will increasingly need to support and scale multi-cloud, hybrid cloud and edge/fog, and turn to new approaches to achieve real-time machine learning at enterprise scale. - John DesJardins, VP of solution architecture & CTO, Hazelcast

More enterprises will have production cloud data lakes. With the maturation of the technology stack overall and more ML frameworks becoming mainstream, the cloud data lake trend, which began a few years ago, will continue to accelerate. Well see more enterprises with production data lakes in the cloud running meaningful workloads for the business. This trend will pose more pressure on the data privacy and governance teams to make sure data is being used the right way. - Okera CTO and co-founder, Amandeep Khurana

The biggest advantage presented by modern cloud technology is the ability for small to mid-size companies to level the playing field: Thanks to the cloud, organizations no longer require the assets previously required to implement enterprise solutions and technology large budgets, massive server farms, and a workforce dedicated to maintenance. Typically, when organizations want to implement new tech, they analyze the infrastructure cost associated to determine what is fiscally possible. Instead, organizations that want to harness the benefits provided by the cloud should start by defining strategic objectives and recognize that the cloud is going to provide access to solutions and new technology at a fraction of the on-premises cost. Dont let infrastructure costs be the impeding factor to implementing new tech. What the cloud now does is disintermediate the bar of access to, and drive adoption of, new technology. This is why the cloud growth line has been exponential, not linear. So, in 2020 and beyond we can expect cloud to be a huge asset that will allow small to mid-size businesses to get access to the same solutions, information, and data that was only before available to large enterprises. - Himanshu Palsule, chief product & technology officer, Epicor

Cloud data warehouses turn out to be a Big Data detour: Given the tremendous cost and complexity associated with traditional on-premise data warehouses, it wasnt surprising that a new generation of cloud-native enterprise data warehouse emerged. But savvy enterprises have figured out that cloud data warehouses are just a better implementation of a legacy architecture, and so theyre avoiding the detour and moving directly to a next-generation architecture built around cloud data lakes. In this new architecture data doesnt get moved or copied, there is no data warehouse, and no associated ETL, cubes, or other workarounds. We predict 75% of the global 2000 will be in production or in pilot with a cloud data lake in 2020, using multiple best-of breed engines for different use cases across data science, data pipelines, BI, and interactive/ad-hoc analysis. - Dremio's CEO Tomer Shiran

IT will begin to take a more methodical approach to achieving cloud native status: Running cloud native applications is an end goal for many organizations, but the process of getting there can be overwhelming especially because many companies believe they have to refactor everything at once. More IT departments will realize they dont need to take an all or nothing approach, and a process founded on baby steps is the best way to achieve cloud native goals. In other words, well start to see more IT teams forklift applications into the cloud and then implement a steady, methodical approach to refactoring them. - Chris Patterson, senior director of product management, Navisite

Major Cloud Providers Will Find a Bullseye on Their Backs: As more and more organizations move their critical systems and data to the cloud for efficiency, scalability, and cost reduction, cloud provider infrastructure will increasingly become a high payoff target. A target, that if compromised, could have devastating effects on the economy and national security. In 2020, we believe state adversaries will redouble their efforts to attack cloud systems. Whether the defenses in place will withstand the attacks remains to be seen. - Greg Conti, senior security strategist, IronNet Cybersecurity

A Meteoric Rise: Cloud Security Adoption to Accelerate in 2020: The coming year will usher in an even greater adoption of cloud security, with a material change in attitude and organizations fully embracing the cloud. As organizations increasingly access enterprise applications like Box, Salesforce, etc., its no longer practical for them to VPN back to the stack to remain secure while accessing these services in the cloud. With this move to the cloud comes countless security risks. Not only will we see more companies jump on the bandwagon and shift their applications and operations to the cloud, but we will also see the security stack move to the cloud and more resources dedicated to securing the cloud, such as cloud councils. -Kowsik Guruswamy, CTO,Menlo Security

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Big Data Professionals Give 11 Predictions for Cloud's Evolution in 2020 - Database Trends and Applications

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Major Players included in this report are as follows AmazonSalesforce.comVMwareSavvisRackspaceIBMDellCiscoDell EMCOracleNetSuiteMicrosoft

Cloud Computing Service Market can be segmented into Product Types as Software-as-a-ServicePlatform-as-a-ServiceInfrastructure-as-a-Service

Cloud Computing Service Market can be segmented into Applications as Private CloudsPublic CloudsHybrid Clouds

Cloud Computing Service Market: Regional analysis includes:Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)Europe (Turkey, Germany, Russia UK, Italy, France, etc.)North America (United States, Mexico, and Canada.)South America (Brazil etc.)The Middle East and Africa (GCC Countries and Egypt.)

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Cloud Computing Service Market Structure, Industry Inspection, and Forecast 2025 - Info Street Wire

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Cloud Computing in Education Sector Market Size 2026 Global Industry Sales, Revenue, Price trends and more - Technology Magazine

Yesterday, Solutions Review hosted our first ever Cloud Insight Jam and it was a huge success! We received more participation from cloud vendors, thought leaders, and IT experts than we could have hoped for, all sharing their thoughts and insights on cloud computing and how they expect the market to change in 2020. In case you missed the event, wed like to share the key highlights from the Insight Jam!

First, wed like to share our video compilation containing clips on advice and best practices for deploying cloud solutions. We compiled advice from 12 experts in the field of cloud from companies across the globe.

We also pulled several Tweets containing valuable cloud insights and predictions that vendors and individuals shared during the event. The intended backbone of the Cloud Insight Jam was to generate discussion and allow experts a forum for them to provide their thoughts. It was great seeing this concept come to life, as all throughout the day, several cloud solution providers and thought leaders Tweeted their perspectives!

Looking for more info on managed service providers for your cloud solutions? Our2020 MSP Buyers Guide contains profiles on the top cloud managed service providers for AWS, Azure, and Google Cloud, as well as questions you should ask vendors and yourself before buying. We also offer a2020 MSP Vendor Mapthat outlines those vendors in a Venn diagram to make it easy for you to select potential providers.

Check us out onTwitterfor the latest in Enterprise Cloud news and developments!

Dan is a tech writer who writes about Enterprise Cloud Strategy and Network Monitoring for Solutions Review. He graduated from Fitchburg State University with a Bachelor's in Professional Writing. You can reach him at dhein@solutionsreview.com

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12 Highlights from the First Annual Cloud Insight Jam - Solutions Review

As the number of IoT devices continues to increase a predicted 75 billion by 2025 to be exact so do data requirements. In fact, its estimated that IoT will generate more than 500 zettabytes of data per year by the end of 2019.

To create an environment where IoT devices and applications are seamlessly connected to one another, and their end-users, sufficient computational and storage resources are needed to perform advanced analytics and machine learning, which the cloud is capable of doing. However, cloud servers are often located too far away from the IoT endpoints to be able to effectively transmit time-sensitive data to and from billions of "things" across vast distances. This has driven the move towards edge and fog computing.

Living Life on the Edge

Edge computing allows for data to be processed closer to its origination, significantly reducing network latency. By physically bringing processing closer to the data source (such as IoT devices), there's less distance that data needs to be sent across, improving the speed and performance of devices and applications. However, there are limitations with undertakings, like real-time analysis and machine learning.

Edge computing has led the way for the emergence of fog computing a term first coined by Cisco to signify decentralized computing architecture. The storage and computing of data are distributed most logically and efficiently, located between the cloud and the data source. Fog computing is seen as a complementary strategy for how edge computing can be effectively implemented while providing the compute, network, and storage capabilities of the cloud. It is estimated that the revenue produced by the fog computing market will increase by 55% between 2019 and 2026.

Seeing Through the Mist

In many ways, fog computing is an extension of cloud computing. It offers many of the same advantages, while overcoming the latter's limitations. The cloud computing infrastructure is often centralized with the servers located further away from the data source, thus increasing latency and limiting bandwidth.It's not always practical to transmit vast amounts of data all the way to the cloud and back again, especially for scenarios when processing and storage on a cloud-scale are not necessary.

When broken down, fog computing was created to accompany edge strategies and serve as an additional architectural layer to provide enhanced processing capabilities that the edge alone cannot always do. There are many similarities between fog computing and edge computing, such as that they both bring processing closer to the data source. However, the main difference between the two is where the processing is taking place.

Solving the Data Problem

Digital transformation means something different to every business. Meeting these new transformation challenges is forcing organizations to reconcile new architectural paradigms. For example, a highly-centralized architecture often proves to be problematic as there is less control over how organizations can connect to their network service providers and end-users, ultimately causing inefficiencies in their IT strategies. At the same time, however, solely relying on small, "near edge" data centers could become expensive, putting constraints on capacity and processing workloads, and potentially creating limitations on bandwidth.

Increasingly were seeing organizations look to multi-tenant data centers to better support distributed architectures. Its best to think of IT infrastructure in terms of layers. The first layer consists of enterprise core data and applications, where intellectual property, high-density computing, and machine learning can live. From there, organizations can continue to add layers such as cloud computing services, distributed multi-site colocation, and 5G aggregation as part of an edge delivery platform. Through a multi-tier distributed architecture, organizations will gain control over adding capacity, network, compute, storage, and shortening distances between your workloads and end-users. Ultimately this enhances performance and promotes an improved data exchange.

Rod Glover, data centre operations director, Australia at Digital Realtywrote this article.

The views and opinions expressed in this article are those of the author and do not necessarily reflect those of CDOTrends.

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Solving the Data Explosion with Fog and Edge Computing - CDOTrends

Selbyville, Delaware, Nov. 28, 2019 (GLOBE NEWSWIRE) --

According to latest report Europe Cloud Computing Market by Service Type (Software-as-a-Service (SaaS), Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS)), Organization Type (Large Enterprises, SMEs), Deployment Model (Public Cloud , Private Cloud, Hybrid Cloud), Application (IT & Telecom, BFSI, Government and Public Sector, Healthcare, Retail, Manufacturing, Education), Regional Outlook, Competitive Market Share & Forecast 2026, by Global Market Insights, Inc., the market valuation of cloud computing in Europe will cross $75 billion by 2026.

The European cloud computing market growth is attributed to the steady uptake of cloud computing platforms to lower IT infrastructure procurement and maintenance costs and rapid expansion of global cloud vendors within the European countries. For instance, in December 2018, AWS launched three data centers in Sweden, expanding AWS regional cloud availability in the country. The data centers helped AWS to gain a significant market share in the country as an increasing number of Swedish firms were migrating to cloud data storage. The cloud computing platforms enable organizations to store and access information over the web, referred to as the cloud, lowering operational costs. Cloud service providers offer on-demand computing resources including storage, networking, and applications based on the pay-per-use business model, enabling enterprises to scale up or down as per their requirements.

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Another factor leading to Europe cloud computing market growth is the supportive regulatory environment as the European government is taking initiatives to promote cloud usage in enterprises. For instance, in February 2019, the EU-funded project Open Clouds for Research Environments (OCRE) launched a tender to accelerate cloud adoption via the European Open Science Cloud. The tender includes Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). The growing dependence on cloud providers based in the U.S. and data security concerns has also compelled government agencies in countries including France and Germany to implement a plan to reduce dependence on cloud providers such as AWS, Google, and Microsoft.

The SaaS cloud computing delivery model held the majority of Europe cloud computing market with around 65% share in 2018. This is attributed to the high scalability and flexibility offered by SaaS platforms. SaaS can be accessed anywhere through various platforms, such as mobile devices and web browsers, reducing the requirement for large-scale infrastructure. SaaS is witnessing a rapid market adoption due to its extensive use for delivering Customer Relationship Management (CRM) applications, enabling enterprises to leverage low-cost benefits through pay-per-use subscription models. Integration of new technologies including AI and machine learning will also strengthen SaaS market growth.

The large enterprises segment is anticipated to grow at a CAGR of over 13% from 2019 to 2026 due to surging demand for replacing legacy IT infrastructure. Large enterprises in European countries are witnessing a dynamic shift toward cloud computing platforms for leveraging the benefits of CRM and Enterprise Resource Planning (ERP) solutions on virtual infrastructure. Increasing investments in cloud computing technologies by large enterprises are expected to augment the deployment of cloud platforms for accelerating service delivery and ensuring business competitiveness.

The public cloud deployment model held over 50% of the Europe cloud computing market share in 2018 as this deployment model supports resource sharing by multiple enterprises to leverage economies of scale. SMEs and startups in European nations are increasingly adopting public cloud models for reducing IT spending and leveraging the scalability of these platforms to handle fluctuating workloads. According to the December 2018 data released by the Directorate-General of the European Commission for Statistics (EuroStat), public cloud adoption in start-ups was 11% more than large enterprises across the EU.

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The retail sector will witness a significant surge in the adoption of cloud computing due to the growing use of the IaaS model to handle website traffic and deliver seamless shopping experience through mobile platforms. The retail industry is rapidly adopting cloud computing technology to leverage customer data for enhanced business intelligence. Technologies, such as interconnected Point-of-Sales (POS) and centralized invoicing through the cloud platform, are assisting retail enterprises in delivering better customer service.

Germany held a significant market share of above 18% of the Europe cloud computing market in 2018 and is anticipated to exhibit lucrative growth over the forecast timeline. This is attributed to the robust ICT infrastructure and the increasing adoption of cloud computing by the German automotive sector for smart manufacturing. For instance, in March 2018, Daimler AG deployed Microsoft Azure cloud services for developing telemetry solutions and vehicle IoT apps. With the advent of Industry 4.0 and the growing use of SaaS by German enterprises, cloud computing usage in the country is expected to witness sustained growth over the forecast timeline.

Companies operating in the Europe cloud computing market are focusing on various business growth strategies including investments in data centers, strengthening partner network, and geographical expansion. Through such strategic moves, companies are trying to gain a broader market share and maintain their leadership in the market. For instance, in September 2019, Google announced the launch of a new cloud data center in Poland to extend its cloud revenues in the European region.

Browse key industry insights spread across 240 pages with 252 market data tables and 29 figures & charts from the report, Europe Cloud Computing Market Size 20192026 in detail along with the table of contents:

https://www.gminsights.com/industry-analysis/europe-cloud-computing-market

Table of Contents (ToC) of the report:

Chapter 3. European Cloud Computing Market Insights

3.1. Introduction

3.2. Industry segmentation

3.3. Industry landscape, 2015 - 2026

3.4. Evolution of cloud computing

3.5. Cloud computing architecture

3.6. Industry ecosystem

3.7. Technological and innovation landscape

3.8. Regulatory landscape

3.9. Industry impact forces

3.9.1. Growth drivers

3.9.1.1. Increasing demand for cost efficiency and return on investment

3.9.1.2. Strong government support for promoting cloud adoption

3.9.1.3. Presence of numerous cloud data centers in the European region

3.9.1.4. Growing popularity of hybrid cloud computing

3.9.2. Industry pitfalls & challenges

3.9.2.1. Threat of data breaches and cyber attacks

3.9.2.2. Performance issues and system downtimes

3.9.2.3. Shortage of skilled IT workforce

3.10. Growth potential analysis

3.11. Porters analysis

3.12. PESTEL analysis

Browse Complete Table of Contents (ToC) @

https://www.gminsights.com/toc/detail/europe-cloud-computing-market

About Global Market Insights

Global Market Insights, Inc., headquartered in Delaware, U.S., is a global market research and consulting service provider; offering syndicated and custom research reports along with growth consulting services. Our business intelligence and industry research reports offer clients with penetrative insights and actionable market data specially designed and presented to aid strategic decision making. These exhaustive reports are designed via a proprietary research methodology and are available for key industries such as chemicals, advanced materials, technology, renewable energy and biotechnology.

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Cloud Computing Market revenue in Europe to exceed USD 75 Bn by 2026: Global Market Insights, Inc. - GlobeNewswire

The most difficult completion through the first 11 weeks of the NFL season was a Russell Wilson-to-Tyler Lockett touchdown in the final minute of the first half against the Rams. The Seahawks quarterback scrambled on the play action pass and then lofted the ball to a well-covered Lockett, who hauled it in and made a Pacific Northwest Ballet-worthy toe-tap at the back corner of the end zone.

The probability of that catch was 6.3%, according to the NFLs Next Gen Stats program, which makes use of Amazons cloud computing technology and sensor data to capture factors such as how close defenders were to the quarterback and receiver, and their positioning on the field.

Now, the Seahawks themselves are going all-in on Amazons cloud capabilities to gather and analyze a wide range of data, automate video analysis and manage media assets for starters.

The five-year contract shifts a large and important chunk of the hometown teams IT systems from Microsoft Azure to cloud computing rival and market leader Amazon Web Services.

It is a marquee customer win in a high-visibility sector that is increasingly reliant on data analysis though not as significant as the $10 billion Department of Defense cloud computing contract that last month unexpectedly went to Microsoft rather than Amazon.

(And no, this is not an indication of Jeff Bezos alleged interest in buying the Seahawks, as The Washington Post reported, citing an unnamed source familiar with the NFLs thinking earlier this month. The Seahawks owned by the trust left by Microsoft co-founder Paul Allen and headed by his sister, Jody Allen, who chairs the team are not for sale, sources told The Post and The Seattle Times.)

Seahawks vice president of technology Chip Suttles said the team is just now ramping up its use of AWS, so it hasnt played a meaningful role in football strategy yet this season. But he envisions coaches and scouts using machine learning, computer vision and related technologies to answer questions that arent captured by traditional statistics, which are quickly being augmented by new ways of parsing sports information, such as the Improbable Completions rankings topped by the Wilson-Lockett touchdown.

The NFLs Next Gen Stats program is only 4 years old and the data underlying it player location, speed and acceleration, gathered by sensors placed around the stadiums and in player shoulder pads was made available to individual teams beginning last season, said Ariel Kelman, AWS marketing vice president.

Teams add other datasets, as well as mounds of video from games and practices, to produce as comprehensive a look as possible at their football and business operations just like more and more businesses, nonprofits and other organizations today.

NFL teams are now just starting on a process of figuring out what they want to do with the data, and how they apply technology to it, Kelman said. He said the trend began with baseball, as documented in the 2003 book Moneyball, and has since spread throughout the sports world.

AWS has made marketing hay with the NFL partnership, highlighting stats such as Catch Probability in commercials featuring Wilson and other NFL stars.

Suttles said teams are willing to collaborate on the business aspects of their IT strategy. But when it comes to what the player performance and sports science teams are doing within the individual clubs, its really kept to the vest. Everybodys looking for a competitive edge.

Suttles, who is responsible for all IT functions for the Seahawks organization, including stadium technology, said there are no current plans to use Amazons facial recognition technology at Century Link Field.

But the great thing about this relationship is that AWS is so broad and has so much capability, he said, adding that the team is eager to start investigating opportunities.

Theres not much branding associated with the new Amazon cloud deal beyond an AWS sign in the stadium, Suttles said.

An earlier agreement between the Seahawks and Microsoft put the Bing search engine logo on team practice jerseys. And Microsoft continues to have a deal with the NFL for its Surface tablets, which are used on the sidelines to review plays during games, and for other hardware with the Seahawks, Suttles said.

Suttles declined to disclose the value of the AWS deal, or the Seahawks IT budget, but said he expected it to be a cost savings.

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Amazons cloud computing will help Seahawks tackle data for a competitive edge - Seattle Times