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Migrating to a simplified serverless cloud solution – ITWeb

Modernising your entire cloud architecture can often sound like a daunting task. In many cases, this type of migration would be avoided due to the complexity and possible risks involved if not done correctly. Not to mention the level of expertise you need to configure all the various servers for your cloud solution (DB, build servers, scaling solutions, etc).

When online South African mobile retailer, Rewardsco, decided to modernise its entire stack, it turned to BBD to build a solution using as many serverless and managed services as possible to allow for scaling based on demand, while minimising its ongoing maintenance and operational effort.

Fact sheet

Solution: AWSs Elastic Beanstalk

Industry: Mobile retail

Provider: BBD

User: Rewardsco

Knowing it didnt have the in-house capacity necessary at the time, the solution also needed to be simplified and easy to work with. As an accomplished cloud solutions provider, the company partnered with BBD to lay the foundation for this cloud native modernisation project.

The brief was to create a responsive, scalable and highly reliable yet cost-effective platform.

Since the products listed on Rewardscos site are marketed to a wide range of target markets, the platform needed to be highly performant, even on slow network connections.

Another key requirement was that the platform should not suffer under a sudden influx of traffic as the client releases various deals to its customers, causing a higher sudden demand in infrastructure. To facilitate this and help save cost to the client, BBD needed to downscale infrastructure as soon as the demand would drop to regular traffic levels. This meant implementing CI/CD processed with auto-scaling according to traffic to the website.

For BBD, the requirement set out by the client needed to be:

The team from BBD realised that a serverless approach would be best suited since the client did not have the cloud knowledge to manage elaborate servers on a 24/7 basis.

Due to the strict time constraints on the project, we needed technology that would enable us to deliver with accuracy and quality, explains Frikkie van Biljon, one of the two BBD cloud engineers on the project. BBD needed to utilise technologies that would enable rapid development that would not result in any trade-offs for the client. Ultimately, we needed managed servers that are configurable enough to solve for this custom problem.

The BBD team further needed to have all the tech under one umbrella since a distributed solution would increase the complexity of the solution.

Architecture

In a nutshell, the solution consisted of two main components: a customer-facing website and a CMS system, each component in turn including a back- or front-end. Although we could discuss the various services at length, says Van Biljon, a key service in enabling this project was AWSs Elastic Beanstalk.

The solution consisted of the following:

Elastic Beanstalk

Setting up and maintaining multiple environments at scale is no easy task. Getting this done can easily take up most of the start time for a new project. As part of our brief, we needed to set up pipelines to deploy to various non-production environments before deploying a new version to production. This process was simplified thanks to Elastic Beanstalk.

What is Elastic Beanstalk?

AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go and Docker on familiar servers such as Apache, Nginx, Passenger and IIS.

One of the key benefits Elastic Beanstalk brings to the table is in its simplicity, which was a core requirement on this project as BBDs client needed to be able to maintain the service themselves. Much like a one-stop shop, Elastic Beanstalk offered all those bells and whistles the clients were looking for:

With these rich features in play, BBD developed a deployment pipeline that utilises the latest technologies presented in a user-friendly fashion.

Once the environments and applications were created on Elastic Beanstalk, we could start deploying new versions of the clients software, implementing automated pipelines to streamline the deployment process for our client, explains Van Biljon.

Integration with automated pipelines is near effortless thanks to the comprehensive CLI tool provided by AWS.

Elastic Beanstalk also allows engineers to specify which of the various deployment policies should be used when rolling out new versions of software. Since not all roll-outs are equal in requirement, it is good to know that Elastic Beanstalk can assist with this as well.

The options available include:

With these options available, the client can easily decide which deployment strategy would work best for their user base. If their requirement changes in the future, the configuration can easily be changed to suit their needs.

AWS Lambda

AWS Lambda provides computing services without the need to manage servers. This includes automatic scaling as load increases, which ultimately leads to cost optimisation since you only pay for the computing resources used per millisecond.

Having AWS Lambda at your disposal can open a lot of doors for software engineers. Not only is it fast and performant, but it is highly scalable and has huge cost benefits for the client.

For this project, BBD had implemented a lot of the API endpoints by using a combination of AWS Lambda, API Gateway, CloudFront and S3. Most of these endpoints were set to perform CRUD operations.

Keeping images at optimal dimensions can be a challenge when it comes to building performant websites. To increase performance, you need to serve images that are pre-scaled to the required dimensions. This means you may end up with a stack of images in various dimensions and formats to cater for all the different UI requirements from thumbnails to high-res.

To solve this challenge, BBD utilised the auto scaling abilities of Lambda and stacked that on top of the caching capabilities of API Gateway and CloudFront. Van Biljon explains that BBD was able to decrease image load times quite significantly. All of this without having to keep track of various sized images.

The outcome

With the power of simplicity at our disposal, thanks to advances in cloud technology, BBD was able to provide an easy-to-maintain solution without sacrificing flexibility. Rewardsco can now monitor and adjust its platform according to its needs around the complexities that auto-scaling can bring, without the in-house expert knowledge.

If you are looking for long-lasting cloud solutions, serverless solution offerings are something to consider.

If youre looking to move your business to the cloud, or further enhance your service offering using cloud-based solutions, reach out to BBD at http://www.bbdsoftware.com.

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Comarch’s PowerCloud Gives IBM, Microsoft, And Google A Run For The Money – IT Jungle

July 14, 2021Tomasz Wachnicki

If you are looking for a cloud provider that has expertise in Power-based systems and that has datacenters in the United States, Europe, and Asia so they are local to those geographies and yet available on a truly global basis, and backed by deep experience in managed services for IBM i and AIX platforms, you have an option that you might not be aware of. The company is called Comarch, and it is taking on IBM, Google, and Microsoft/Skytap for IBM i and AIX business in the cloud.

For those of you who are unaware of Comarch, it was founded in 1993 by Janusz Filipiak, a professor at the AGH University of Science and Technology in Krakw, Poland. Filipiak is an expert on teleinformatics, which is concerned with managing dataflows on service provider networks, and he created Comarch to offer managed services to telecommunications companies and other suppliers in Poland and across Europe. The company was naturally headquartered in Krakw, where it remains to this day, and has 58 subsidiaries with 91 offices around the world and is active in 100 countries across six continents.

The company went public in 1999 on the Warsaw Stock Exchange, and today has a market capitalization of over $400 million. Despite the coronavirus pandemic some might say because of it Comarch increased research and development spending by 12.5 percent to $67.5 million and was still able to drive revenues up by 5.2 percent to $393.5 million while also increasing earnings before taxes by 17.7 percent to $69.6 million; the company has $114.7 million in the bank, up 36.7 percent.

Here are some of the big names in telecommunications, financial services, food and beverages, and retail that are Comarch customers:

And here are some of the companies in manufacturing, travel, oil and gas, and small and medium businesses that Comarch also counts as marquee customers:

Today, Comarch has over 6,500 employees worldwide mostly programmers, engineers, and computer scientists and has a line of ERP and BI software called Optima that it sells under a SaaS model and that it runs in datacenters around the world based on X86 server technology, which is called Comarch Infraspace Cloud.

More than a decade ago, a bunch of big insurance companies in Poland and the Netherlands ask Comarch to take over the management of their on-premises Power Systems platforms, and thus a new line of business was created for the information and communications technology, or ICT, division of Comarch.

In 2019, as IBM, Google, Microsoft, and Skytap were ramping up their Power-based clouds, Comarch launched its PowerCloud service, which is a cloud offering like those from the rivals mentioned above but one that has managed services at every level of the IT organization. Comarch manages everything but the applications, and we can work with all of the big public clouds in a hybrid fashion if that is what customers need as well as offering capacity on our own X86-based Infraspace cloud. We are also an IBM reseller, and if customers want to have a hybrid setup, mixing on-premises Power Systems servers with instances on our PowerCloud, we can do that, too.

PowerCloud is based on a fully virtualized model, which supports IBM i and AIX in logical partitions on Power Systems machines, with support for Linux coming down the road as a sufficient number of customers ask for it and therefore warrant the investment. The management portal, which is based on the in-house tools that we use to manage systems on behalf of customers, is shown below and is a key differentiator for us.

The infrastructure as a service (IaaS) offering for PowerCloud is available now, and we are working on extending this with platform as a service (PaaS) offerings, starting with disaster recovery and backup/replication services. We currently partner to be able to resell Preciselys MIMIX and Quick-EDD, IBMs PowerHA, and Maxavas Maxava HA products and plan to offer these as the basis of DR and backup services for the PowerCloud. We can also install HelpSystems Robot tools for monitoring as a service, and we are also looking at how we can implement IBMs Red Hat OpenShift Kubernetes container management platform on Power instances as a PaaS service.

The map below will give you a sense of the coverage we have for our Infraspace and PowerCloud offerings:

Our facilities have a mix of scale-out and enterprise-class Power Systems machines, just like IBM is offering, and we are also installing Power AC922 machines similar to the servers used in the Summit supercomputer at Oak Ridge National Laboratory and the Sierra supercomputer at Lawrence Livermore National Laboratory in the United States for helping customers support their machine learning workloads.

We currently have Power-based machines installed in our datacenters in Dresden in Germany and Krakw and Warsaw in Poland, and will have machines installed in our datacenter in Lille, France by the end of the year. As business cases warrant, we will consider adding Power instances in the United States and Asia, where we are already operating datacenters supporting X86 machinery. For the moment, we are focusing on Europe, with a push into the Middle East and Asia and plans for expansion in the United States. We are, in fact, reaching out to you in IT Jungle to start the process of entering the market in the United States and to make more people aware of our PowerCloud in Europe, the Middle East, and Asia.

We offer an array of services that are over and above what the other public clouds with Power instances can offer. In addition to the business continuity services that are being rolled out monitoring, backup management, disaster recovery and high availability we offer management services such as operating system administration, performance tuning, operating system and systems software upgrades, patch management, and batch job management. On the security front, we offer security monitoring and incident management, compliance and reporting, risk/threat analysis, and vulnerability scanning services.

Because we own the Power machines we build our cloud upon and because we offer a substantial array of for-fee services, we can afford to be very aggressive on pricing. Here is, very generally speaking, how PowerCloud stacks up to the Power-based cloud offerings from IBM, Google, and Microsoft/Skytap:

The basic LPAR slice on PowerCloud with 4 GB of main memory and 70 GB of storage with 25 percent of a Power9 core (or around 3,200 CPWs of performance) costs 38 cents per hour from Comarch, which works out to $280 per month. That price is before long-term reservation discounts or for higher volumes of CPWs if the project is extensive.

If you are shopping for Power on the cloud, dont forget to give Comarch a call.

This content is sponsored by Comarch ICT.

Tomasz Wachnicki is product manager in the Comarch ICT division of Comarch.

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NVIDIA Aims to Bring AI to the 5G Edge – IT Business Edge

NVIDIA is gearing up to bring artificial intelligence to the 5G wireless edge starting next year. The company at the Mobile World Congress (MWC) event revealed its plans to make available network cards based on Arm processors that will have the compute power required to run AI inference engines on edge computing platforms. At the core of that effort is a NVIDIA Aerial software development kit (SDK) that NVIDIA is making available to developers.

The NVIDIA Aerial A100 AI-on-5G computing platform will be based on 16 Arm Cortex-A78 processors into the NVIDIA BlueField-3 A100 network card scheduled to become available in the first half of 2022. Those network cards are based on a data processing unit (DPU) that NVIDIA is bringing to market to offload network, storage, security, and now AI workloads from servers.

NVIDIA is in the middle of trying to acquire Arm as part of an effort that would create a behemoth large enough to counter Intel. In addition to running AI on graphical processor units (GPUs), NVIDIA is betting organizations will find it more cost efficient to offload AI inference engines on to Arm processors deployed in a variety of edge computing environments.

Also read: NVIDIA Extends Scope of AI Software Ambitions

Most AI models are trained in the cloud. However, when it comes time to deploy an application infused with AI an inference engine is required. The closer that inference engine runs to the point where data is being collected the better the overall application experience becomes, notes Gilad Shainer, vice president of marketing for NVIDIA. This is where the DPU shines, he said.

Offloading tasks from servers is hardly a new idea. NVIDIA is taking the concept a step further by weaving together graphics processor units (GPUs), traditional CPUs, and DPUs together under a common software architecture. Ultimately, the goal is to create a framework for training AI models using GPUs that then spawn inference engines optimized for processors that also happen to be from NVIDIA and its allies. In most cases, AI models are trained in cloud, but NVIDIA has also been making the case for certified GPU systems that can be deployed in on-premises IT environments.

One way or another the amount of compute horsepower available at the network edge for running AI models is about to substantially increase. The challenge now is optimizing best machine learning operations (MLOps) practices to reduce the friction that many organizations experience when building and deploying AI models today. In most cases, AI models are built by data scientists. Aligning their efforts with application development teams to make sure AI models are ready when applications need to be deployed has proven challenging. In fact, its not clear to what degree MLOps represents a truly separate IT discipline or is simply an aberration that will ultimately be folded into existing IT operations.

One way or another, however, AI is coming to the network edge. The next issue is deciding how best to deliver, manage, secure and update it once it gets there.

Read next: Open Source Platforms Vie with IT Vendors for Management of MLOps

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Advisers should look to the Cloud for their IT solutions – FT Adviser

The role technology plays in the typical advice businesshas expanded over the past decade, but alongside the opportunities for greater efficiencycomes the enhanced threat from a cyber attack damaging both the operations and the reputation of a financial adviser.

The scale of the threat from cyber criminals is starkly illustrated from data showing that 44 per cent of advisers have had some experience of cyber attack, with just over three quarters of those (77 per cent) attacks being 'phishing'via fraudulent email.

Solutions

The options available to an advice business seeking to develop a robust IT infrastructureare to deploy in-house serversor to use a cloud computing product.

Using in house servers requires physical space in a specific location, and is likely toincur significant installation and maintenance costs.

A cloud computing solution is not necessarily new, but it does offer the chance to store data remotely, and externally, which should deliver savings and efficiency for advisers. Many cloud computing options come without the bells and whistles of a traditional server, but a lot advice businesses will feel they do not need the full suite of extras offered by the old 'server room'approach.

Security concerns

Many institutions rely on the same model of security controls, but as the risks have changed, so should the approach. While everyone is shelving added cybersecurity risks, malware, and other malicious attacks under 'just what happens in the new normal', I prefer to label it as the inevitable normal.

Independent financial advisers, accounting companiesand other financial organisations that manage mass amounts of sensitive client data on an everyday basis should already be ahead of the cybersecurity curve. This is true pandemic or no pandemic, and whether digitalisation has slowed or picked up pace in your business.

In my own experience, IFAs choosing a cloud solution is not a matter of if, but when. Cloud computing is already a well-regarded, innovative way to leverage powerful systems to instantly address known threats and predict threats that seek to overwhelm security. The misconception that moving to the cloud will simply put more IFAs in harms way as compared with sending regular emails containing spreadsheets is false.

Cloud computing and accounting ensures no copies of data are kept locally on any device, and that all are stored in encrypted environments. Only those with permissions have access. It is also normal for cloud-based solution providers to employ teams of penetration testers, which work directly with your cloud providers development team to ensure no hidden loopholes are available in the system allowing hackers to take advantage.

Penetration testers, also sometimes known as ethical hackers, effectively try to disrupt the IT systems of a companyin a bid to identify where the weaknesses are, then tell the company about these weaknessesin order that they can be remedied. Penetration testers work for the cloud providerand test the security of each of the cloud provider's clients, allowing the advice companyto benefit from the scale of the cloud computing business.

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What is web hosting? What you need to know to choose the right provider – ITProPortal

Just as a business needs an office, a website needs web hosting in order to run smoothly on the internet. But what is web hosting? And how do you choose the best web hosting service for your business?

Web hosting is a paid service that provides you with the resources needed to run your website. Depending on your hosting plan, you are given access to a certain amount of resourcessuch as storage space and network bandwidthon one or more physical servers owned by the web hosting provider.

There is a wide range of web hosting services available in the market, each with its own collection of free and paid plans to choose from. Depending on your websites technical requirements and your own personal know-how, you can opt for any of these plans to access the resources needed to run your website.

In this article, we'll walk you through everything you need to know in order to choose the right web hosting provider for your website.

A website needs resources to stay online. These resources include such things as storage space for the sites content, and network bandwidth to let visitors smoothly access it. While the storage makes sure that you have enough space to store all your sites files, bandwidth is the capacity of data that can be transferred between the website and its users.

The resources are obtained from a serverwhich is really just a powerful computer thats connected to the internet at all times.Typically, a web hosting provider will have a large number of servers spread across one or more remote data centers. Depending on the plan you go for, the provider will allocate a set amount of resources on these servers for your website to use.

A question that a lot of budding website owners seem to ask is whether they should invest in a paid web hosting provider, or just choose a free one. Free web hosting services are indeed available, but they are limited in nature and often come with certain strings attached.

Mostly, they are a way for a web hosting provider to advertise their more powerful paid hosting plans. For example, free web hosting will often limit the amount of storage space you can use or the number of visitors who can access your website in a given month. Services may even display intrusive advertisements on your website.

These things can greatly impact the functioning of a professional site, which is why free hosting is only recommended when you are working on a personal project with no financial implications. If, however, you are using your website for professional or business purposes, a paid hosting plan is a must-have.

There are different types of web hosting services available in the market. They differ in aspects such as server speed, disk space, network bandwidth, and various secondary features. Depending on your specific circumstances, you can choose a plan with the resources that fit your needs and budget. Below are a few common forms of web hosting.

There are several tens, if not hundreds, of web hosting providers vying for space in the website industry. Because of the sheer number of options available, choosing the right hosting provider can prove quite challenging. We outline our top picks in our guide to the best web hosting services available, but here's a summary of the top web hosts in the market right now to make your search a little easier.

Based in Europe with more than 30 million users, Hostinger provides powerful yet affordable web hosting options across different price ranges. It has data centers in the USA, UK, Singapore, Lithuania, and the Netherlands. Hostinger also offers one of the most reasonable cloud hosting plans in the market. Learn more about the company in our comprehensive Hostinger review.

Bluehost is based in the USA, and is almost two decades old. It currently supports over two million websites online. Bluehost offers a range of shared, virtual, and dedicated hosting services with one-click installation options for content management systems like WordPress. It is also known for excellent customer support, and its site migration tool is very easy to use. You can find out more about this service in our full Bluehost review.

HostGator offers superb shared hosting plans at attractive prices. Theres a 99.9% uptime guarantee and 24/7 customer support. All plans come with unmetered bandwidth. Theres a 45-day money-back guarantee and a free domain and SSL certificate included with each plan. Our HostGator review discusses the service and its features in more detail.

Generally speaking, the three things to look out for in any great web hosting providerapart from storage and bandwidthare server speeds, uptime guarantees, and customer support.

A good web host will always offer great speeds and reliable uptime, along with dedicated round-the-clock customer support. You should generally look for at least 99.9% uptime and 24/7 customer support from all hosting providers.

When choosing the right web hosting provider and plan, you have to keep in mind both short-term functioning and long-term scalability. Some hosting providers are easier to upgrade and transfer out of than others. Some even offer dedicated upgrade options and website migration tools.

However, no one web hosting company will be able to offer you a great deal in all these aspects, especially if you have budget constraints. This is where you will have to prioritize based on your businesss needs. As long as you stick to a reputable provider, however, you shouldnt run into any issues.

We've produced a wide range of content to help you find the right web hosting for you, including:

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Global Server Virtualization Software Market to Reach $10.4 Billion by 2026 – GlobeNewswire

New York, July 12, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Server Virtualization Software Industry" - https://www.reportlinker.com/p05818018/?utm_source=GNW Thanks to server virtualization, IT departments across the world are now able to record considerable cost savings by consolidating multiple servers as virtual machines into a single physical box, leading to more effective utilization of available hardware and reduction in number of physical servers that are required to be installed and supported. Therefore, by reducing physical server needs, lowering cooling and energy costs and minimizing headcount requirements, companies are able to reduce their data center footprint. In addition to high return on investments, server virtualization also allows companies save substantial costs incurred on IT manpower, hardware, software and lost productivity.

Amid the COVID-19 crisis, the global market for Server Virtualization Software estimated at US$7 Billion in the year 2020, is projected to reach a revised size of US$10.4 Billion by 2026, growing at a CAGR of 5.8% over the analysis period. Para Virtualization, one of the segments analyzed in the report, is projected to record a 6.7% CAGR and reach US$4 Billion by the end of the analysis period. After a thorough analysis of the business implications of the pandemic and its induced economic crisis, growth in the Full Virtualization segment is readjusted to a revised 5% CAGR for the next 7-year period.

The U.S. Market is Estimated at $2.6 Billion in 2021, While China is Forecast to Reach $997 Million by 2026

The Server Virtualization Software market in the U.S. is estimated at US$2.6 Billion in the year 2021. China, the world`s second largest economy, is forecast to reach a projected market size of US$997 Million by the year 2026 trailing a CAGR of 9% over the analysis period. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 3.1% and 5.3% respectively over the 2020-2027 period. Within Europe, Germany is forecast to grow at approximately 3.7% CAGR.

North America and Europe have been at the forefront of many revolutionary developments that have been associated with IT over the years, and therefore their dominance over the worldwide server virtualization market too is not surprising. Readily available IT infrastructure, already well established installed base of servers, presence of dedicated IT service vendors and keen focus on energy conservation, makes these developed markets a dominant force in server virtualization space. Such is the attraction of markets for server virtualization that majority of vendors serving this area hail from US and Europe, particularly the US which plays host to industry leaders. North America occupies the leading share of the global server virtualization software market, and is expected to retain its strong position in the coming years. The regional market is likely to be propelled by broader uptake of server virtualization, technological advances and increasing investments in cloud-based services. North America is likely to gain from the ongoing trend and need for virtualized serves and implementation of serve virtualization across organizations to mitigate cyber threats. Europe represents the second-leading server virtualization software market owing to adoption of advanced technology across large to small enterprises, most notably in the UK, Italy, Germany and France.

OS-level Virtualization Segment to Reach $2.7 Billion by 2026

In the global OS-level Virtualization segment, USA, Canada, Japan, China and Europe will drive the 5.2% CAGR estimated for this segment. These regional markets accounting for a combined market size of US$1.2 Billion in the year 2020 will reach a projected size of US$1.7 Billion by the close of the analysis period. China will remain among the fastest growing in this cluster of regional markets. Led by countries such as Australia, India, and South Korea, the market in Asia-Pacific is forecast to reach US$282.7 Million by the year 2026, while Latin America will expand at a 6.9% CAGR through the analysis period. Select Competitors (Total 48 Featured)

Read the full report: https://www.reportlinker.com/p05818018/?utm_source=GNW

I. METHODOLOGY

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEW Influencer Market Insights World Market Trajectories Impact of Covid-19 and a Looming Global Recession Virtualization and Virtualization Software: A Review EXHIBIT 1: World Virtualization Software Market by Technology (2020 & 2027): Percentage Breakdown of Revenues for Network Function Virtualization, Desktop Virtualization, Software- defined Storage and Server Virtualization Server Virtualization Development of the Server Virtualization Market Rising Uptake and Software Maintenance Revenues Help Server Virtualization Software Market Post Decent Growth Market Drivers & Restraints North America to Retain Commanding Position in Server Virtualization Software Market EXHIBIT 2: World Server Virtualization Software Market by Region (2020 & 2027): Percentage Breakdown of Revenues for Developed and Developing Regions EXHIBIT 3: World Server Virtualization Software Market - Geographic Regions Ranked by CAGR (Revenues) for 2020-2027 Competitive Scenario Vendor Focus on Sophisticated Features Catalyzes Server Virtualization Software Market Recent Market Activity

2. FOCUS ON SELECT PLAYERS

3. MARKET TRENDS & DRIVERS Server Virtualization: An Important Cog in the IT Wheel Cost Benefits from Server Consolidation Drive the Business Case for Server Virtualization Server Virtualization: Enabling Green IT Strategy EXHIBIT 4: Energy Consumption in Server Rooms: Comparison of Power Consumption (in %) for IT Equipment, Air Conditioning and Distribution Losses Changing ICT Landscape to Influence Server Virtualization Software Market EXHIBIT 5: Global Shipments of Smartphones (in Million Units) for the Years 2011 through 2019 Proliferation of Cloud and OS Technologies Drive Server Virtualization EXHIBIT 6: Global Public Cloud Computing Market (in US$ Billion) by Segment for the Years 2019 and 2022 Status of Serverless Computing, Containers, and Modern Applications Data Center Virtualization Trends Select Innovations in Server Virtualization Space Challenges Facing the Server Virtualization Software Market Server Virtualization: Technology Overview Virtualization Technology: A Background Study An Introduction to Server Virtualization Software Future of Server Virtualization Software Server Virtualization Approaches Virtual Server Key Steps in Implementation of Server Virtualization Key Benefits Package Disadvantages of Virtualization Backup Issues Data Recovery

4. GLOBAL MARKET PERSPECTIVE Table 1: World Current & Future Analysis for Server Virtualization Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2020 through 2027 and % CAGR

Table 2: World Historic Review for Server Virtualization Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 3: World 15-Year Perspective for Server Virtualization Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets for Years 2012, 2020 & 2027

Table 4: World Current & Future Analysis for Para Virtualization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2020 through 2027 and % CAGR

Table 5: World Historic Review for Para Virtualization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 6: World 15-Year Perspective for Para Virtualization by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2012, 2020 & 2027

Table 7: World Current & Future Analysis for Full Virtualization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2020 through 2027 and % CAGR

Table 8: World Historic Review for Full Virtualization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 9: World 15-Year Perspective for Full Virtualization by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2012, 2020 & 2027

Table 10: World Current & Future Analysis for OS-level Virtualization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2020 through 2027 and % CAGR

Table 11: World Historic Review for OS-level Virtualization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 12: World 15-Year Perspective for OS-level Virtualization by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2012, 2020 & 2027

Table 13: World Current & Future Analysis for Cloud by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2020 through 2027 and % CAGR

Table 14: World Historic Review for Cloud by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 15: World 15-Year Perspective for Cloud by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2012, 2020 & 2027

Table 16: World Current & Future Analysis for On-Premise by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2020 through 2027 and % CAGR

Table 17: World Historic Review for On-Premise by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 18: World 15-Year Perspective for On-Premise by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2012, 2020 & 2027

III. MARKET ANALYSIS

UNITED STATES Table 19: USA Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 20: USA Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 21: USA 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 22: USA Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 23: USA Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 24: USA 15-Year Perspective for Server Virtualization Software by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2012, 2020 & 2027

CANADA Table 25: Canada Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 26: Canada Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 27: Canada 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 28: Canada Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 29: Canada Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 30: Canada 15-Year Perspective for Server Virtualization Software by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2012, 2020 & 2027

JAPAN Table 31: Japan Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 32: Japan Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 33: Japan 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 34: Japan Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 35: Japan Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 36: Japan 15-Year Perspective for Server Virtualization Software by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2012, 2020 & 2027

CHINA Table 37: China Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 38: China Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 39: China 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 40: China Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 41: China Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 42: China 15-Year Perspective for Server Virtualization Software by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2012, 2020 & 2027

EUROPE Table 43: Europe Current & Future Analysis for Server Virtualization Software by Geographic Region - France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2020 through 2027 and % CAGR

Table 44: Europe Historic Review for Server Virtualization Software by Geographic Region - France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 45: Europe 15-Year Perspective for Server Virtualization Software by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets for Years 2012, 2020 & 2027

Table 46: Europe Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 47: Europe Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 48: Europe 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 49: Europe Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 50: Europe Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 51: Europe 15-Year Perspective for Server Virtualization Software by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2012, 2020 & 2027

FRANCE Table 52: France Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 53: France Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 54: France 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 55: France Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 56: France Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 57: France 15-Year Perspective for Server Virtualization Software by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2012, 2020 & 2027

GERMANY Table 58: Germany Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 59: Germany Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 60: Germany 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 61: Germany Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 62: Germany Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 63: Germany 15-Year Perspective for Server Virtualization Software by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2012, 2020 & 2027

ITALY Table 64: Italy Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 65: Italy Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 66: Italy 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 67: Italy Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 68: Italy Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 69: Italy 15-Year Perspective for Server Virtualization Software by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2012, 2020 & 2027

UNITED KINGDOM Table 70: UK Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 71: UK Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 72: UK 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 73: UK Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 74: UK Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 75: UK 15-Year Perspective for Server Virtualization Software by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2012, 2020 & 2027

SPAIN Table 76: Spain Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 77: Spain Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 78: Spain 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 79: Spain Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 80: Spain Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 81: Spain 15-Year Perspective for Server Virtualization Software by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2012, 2020 & 2027

RUSSIA Table 82: Russia Current & Future Analysis for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 83: Russia Historic Review for Server Virtualization Software by Type - Para Virtualization, Full Virtualization and OS-level Virtualization Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

Table 84: Russia 15-Year Perspective for Server Virtualization Software by Type - Percentage Breakdown of Value Sales for Para Virtualization, Full Virtualization and OS-level Virtualization for the Years 2012, 2020 & 2027

Table 85: Russia Current & Future Analysis for Server Virtualization Software by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Thousand for the Years 2020 through 2027 and % CAGR

Table 86: Russia Historic Review for Server Virtualization Software by Deployment - Cloud and On-Premise Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2012 through 2019 and % CAGR

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Global Server Virtualization Software Market to Reach $10.4 Billion by 2026 - GlobeNewswire

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Acromove introduces AcroTransfer – the Fastest, Most Secure, and Lowest Cost Service to Transfer Massive Amounts of Data (>25TB) – Business Wire

LOS ANGELES--(BUSINESS WIRE)--Acromove, a provider of data transfer and Edge cloud data center infrastructure solutions, today announced AcroTransfer, an on-demand service for transferring massive data sets from one data center location to any other. Enterprises can move up to 100 terabytes (TB) each day for $600 per week, making it the fastest and lowest cost data transfer service available.

Filling a big gap in the data transfer market

The worlds data is expected to grow 61% to 175 zettabytes by 2025 according to IDC. Transferring vast amounts of data (>25TB) is difficult and there are no great alternatives. Using the Internet to move data is slow and very expensive. Since most companies do not make these transfers very frequently, buying their own hardware is not cost effective. Big cloud providers subsidize equipment rental for data transfer, but this is for one purpose -- transferring data into their cloud environment where they charge their customers a hefty price for ongoing storage. AcroTransfer solves the problem of vendor lock-in when it comes to data transfer.

We provide a vendor agnostic service that enables enterprises to safely and efficiently move data between any cloud and data center environment when they need to, paying only for what they need, said Evangelos Achillopoulos, Co-founder and CTO of Acromove.

What AcroTransfer includes:

The AcroTransfer service provides customers with everything they need to accomplish their massive data transfer:

For sales inquiries, contact Acromove at sales@acromove.com.

About Acromove

Acromove provides data transfer and Edge cloud data center infrastructure solutions. The company manufactures the fastest and most secure data migration servers and delivers a key missing piece in Edge computing through its nano Edge data center in a box solution which brings a full set of Edge computing tools to the cloud business model. For more information, visit http://www.acromove.com.

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Acromove introduces AcroTransfer - the Fastest, Most Secure, and Lowest Cost Service to Transfer Massive Amounts of Data (>25TB) - Business Wire

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Sophos Acquires Capsule8 To Bring Powerful And Lightweight Linux Server And Cloud Container Security To Its Adaptive Cybersecurity Ecosystem -…

Sophos, a global leader in next-generation cybersecurity, today announced that it has acquired Capsule8, a pioneer and market leader of runtime visibility, detection and response for Linux production servers and containers covering on-premise and cloud workloads. Founded in 2016, Capsule8 is privately held and headquartered in New York, NY.

Sophos already protects more than two million servers for over 85,000 customers worldwide, and the Sophos server security business is growing at more than 20% per year, said Dan Schiappa, chief product officer, Sophos. Comprehensive server protection is a crucial component of any effective cybersecurity strategy that organizations of all sizes are increasingly focused on, especially as more workloads move to the cloud. With Capsule8, Sophos is delivering advanced, differentiated solutions to protect server environments, and expanding its position as a leading global cybersecurity provider.

Capsule8 is dedicated solely to the development of Linux security and has established itself as a technology and thought leader in the market, with marquis customer wins and billings growth of 77% in the year to March 31, 2021. Driven by the dramatic growth in cloud platforms, Linux has become the dominant operating system for server workloads. Capsule8s high-performance, low-impact design is ideal for Linux servers, especially those used for high-scale workloads, production infrastructure and storing critical business data.

"The main idea behind Capsule8 is that providing enterprise-grade security for Linux systems requires deploying components that are designed specifically for that environment. These components are more adept at making the trade-offs between security and performance when needed, to achieve the desired levels of resilience and protection, said Fernando Montenegro, principal research analyst with 451 Research, part of S&P Global Market Intelligence, in reference to Capsule8s solutions. "As organizations move to embrace concepts such as cloud-based delivery and DevOps, the underlying compute environments shift noticeably toward Linux as a frequent execution environment. For security teams, often more familiar with Windows-centric concepts, this represents a potential challenge there are different demands, concepts and practices for Linux. This is the space that Capsule8aims to address with its endpoint security offering, combining an architecture optimized for Linux with more features aimed at enterprise security and IT operations teams."

Sophos is integrating Capsule8 technology into its recently launched Adaptive Cybersecurity Ecosystem(ACE), providing powerful and lightweight Linux server and cloud container security within this open platform. Sophos will also feature Capsule8 technology in its Extended Detection and Response (XDR) solutions, Intercept X server protection products, and Sophos Managed Threat Response (MTR) and Rapid Response services. This will further expand and enhance Sophos data lake and deliver continuous, fresh intelligence for advanced threat hunting, security operations and customer protection practices.

Capsule8 is the premiere purpose-built detection and response platform for Linux. We provide security teams with the crucial visibility they need to protect Linux production infrastructure against unwanted behavior, while at the same time addressing cost, performance and reliability concerns, said John Viega, CEO, Capsule8. Weve innovated new approaches to deliver runtime security in a much safer and more cost-effective way than anyone else in the industry. With Capsule8s technology, organizations are no longer forced to choose between system stability and security risk. Given the growth and mission-critical nature of Linux environments, and the fast-changing, targeted threat landscape, organizations must be confident that their Linux environments are both performant and secure.

SophosLabs threat intelligence reveals that adversaries are designing tactics, techniques and procedures (TTPs) aimed specifically at Linux systems, often exploiting server software as an initial entry point. After gaining a foothold, attackers commonly deploy scripts to perform further automated actions. These could include:

Adversaries use compromised Linux servers as cryptomining botnets or as a high-end infrastructure for launching attacks on other platforms, such as hosting malicious websites or sending malicious emails. Given that Linux servers often hold valuable data, attackers also target them for data theft and ransomware.

Attackers today are incredibly aggressive and nimble as they adapt their TTPs to focus on the easiest, largest or fastest-growing opportunities. As more organizations shift to Linux servers, adversaries have noticed, and they are adapting and customizing their approaches to attack these systems. To stay protected, organizations must factor in a strong, but lightweight layer of Linux security that automatically integrates and shares intelligence with endpoint, network and other security layers and platforms within an estate, said Schiappa. We will provide this industry-leading capability and strategically important visibility and detection by combining Capsule8 with our Adaptive Cybersecurity Ecosystem products and services, greatly enhancing the ability to find and eliminate suspicious activity before it becomes malicious.

Sophos expects to begin early access programs with its products and services leveraging the Capsule8 technology later this fiscal year.

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SolarWinds issues software update one it wrote for a change to patch hole exploited in the wild – The Register

SolarWinds has issued an emergency patch after a critical security hole in its Serv-U Managed File Transfer and Serv-U Secure FTP was spotted being exploited in the wild.

The vulnerability, discovered by Microsoft's Threat Intelligence Center (MSTIC) and Offensive Security Research teams, can be exploited by an attacker to achieve remote code execution, and is present in Serv-U version 15.2.3 HF1 and all prior builds. The Redmond crew also said a "single threat actor" was abusing the programming blunder (CVE-2021-35211) though it's not known how many customers are affected.

"This attack is a Return Oriented Programming (ROP) attack," said SolarWinds in an advisory. "When exploited, the vulnerability causes the Serv-U product to throw an exception and then intercepts the exception handling code to run commands. Please note, several reasons exist for exceptions to be thrown, so an exception itself is not necessarily an indicator of attack."

There is some good news. If you don't have SSH enabled, exploitation isn't possible, though patching is still advised. Also, since it's an RCE, a vulnerable installation must be accessible over the network or internet to be successfully exploited. Admins should also be on the lookout for traffic from 98.176.196[.]89 and 68.235.178[.]32 IP addresses and connections via TCP port 443 from 208.113.35[.]58.

"The vulnerability exists in the latest Serv-U version 15.2.3 HF1 released May 5, 2021, and all prior versions," said SolarWinds. "A threat actor who successfully exploited this vulnerability could run arbitrary code with privileges. An attacker could then install programs; view, change, or delete data; or run programs on the affected system."

"Serv-U version 15.2.3 hotfix (HF) 2 has been released," which closes the hole, we're told.

"Microsoft has provided evidence of limited, targeted customer impact, though SolarWinds does not currently have an estimate of how many customers may be directly affected by the vulnerability. SolarWinds is unaware of the identity of the potentially affected customers."

SolarWinds said this isn't related to last year's fiasco in which updates for its Orion IT monitoring platform were backdoored by suspected Russian spies, and is an entirely separate issue.

The timing for the patch is also unfortunate as SolarWinds today released estimates for its second financial quarter of 2021, ended June 30, reporting revenues were up around six per cent, year on year, to $262m, although the biz is expecting to dip $11.3m into the red.

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After GigaOm’s Radar comes Sonar, as it dives deeper into emerging tech Blocks and Files – Blocks and Files

GigaOm has developed a diagrammatic lens and research document, through which to look at emerging startup technologies with few suppliers but much promise: the Sonar diagram in Emerging Technology Insight reports

Its first Sonar report looks at decentralised storage with peer-to-peer technology, and uses a three-axis triangle scheme rating companies positioning in terms of their roadmap, technology and strategy. There are two concentric triangles, the outer one being for Challenger suppliers, and the inner one for Leaders. In general, suppliers have higher overall value the closer to the centre of this triple-axis space they are located.

Each vendors position has an arrow attached showing its expected direction of travel over the next 12 to 18 months.

Analyst Enrico Signoretti writes that the reports analysis is focused on highlighting core technology, use cases, and differentiating features, rather than drawing feature comparisons. He argues: The goal is to define the basic features the user should expect from products that correctly implement the technology, while keeping an eye on characteristics that will have a role in building the differentiating value over time.

The emerging technologies covered may stay niche, or develop and become mainstream. In that case they could be covered by GigaOms Radar reports. A chart shows the technology evolution involved:

Distributed storage using a peer-to-peer scheme has multiple storage nodes hundreds if not thousands of servers or PCs, storing redundant chunks of files using some error-correcting and/or erasure coding scheme, in order to reconstruct the original data if one or more nodes fail.

A central management system controls and manages the whole network, maintaining and updating metadata to detail which nodes store which chunks of which original data. This system accepts incoming data, processes it and deploys it across the network, and also retrieves data upon request.

Client systems export data to be stored and also request data retrieval, using APIs or protocols such as S3. Blockchain technology may be used as a data integrity and security system, and also to underpin a payment system. Data storage providers can be paid in Bitcoin and storage consumers can be billed in Bitcoin.

Example use cases for technology like this with indeterminate network access speed include archives, backup, content distribution, video storage, secure collaboration and private data sharing. Mobile and cloud-native app developers may find such distributed storage attractive because it is generally much less expensive than a mainstream public cloud.

Five suppliers are covered: OChain, Filebase, Protocol (with Filecoin product), Sia Foundation and Storj. We have mentioned Storj and its Tardigrade technology in several storage round-up articles, as well as Filecoin.

In November last year we wrote Peer-to-peer based cloud storage provider Filecoin says its mainnet blockchain-based public storage cloud has reached 1.2EB (1 exabyte) of capacity and claims to offer a hyper-competitive alternative to AWS, Azure and Google. The service is priced in Bitcoin and the capacity is available across thousands of servers and PCs worldwide who assign spare capacity to Filecoin.

We have covered a sixth one, Cubbit, only recently. Its so new its not yet in the Sonar report.

The GigaOm report describes each vendor and its product, analyses the technology as a whole, and reviews considerations for adoption by enterprises. Signoretti writes: It helps organisations of all sizes to understand a technology, its strengths and weaknesses, and its fit within an overall IT strategy. Read it to keep an eye on newly emergent storage technologies.

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After GigaOm's Radar comes Sonar, as it dives deeper into emerging tech Blocks and Files - Blocks and Files

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