Category Archives: Cloud Computing

What does the metaverse the set of interconnected 3D environments that is poised to revolutionize the way people interact on the internet mean for cloud computing?

The answer is anyone's guess, given that the metaverse remains a somewhat fuzzy concept and that we're still in the very early stages of actually building a metaverse.

Related: DevOps Teams to Play Big Role in Tackling Metaverse Challenges

Still, the ideas behind the metaverse are sufficiently well-formed at this point to facilitate informed guesses about how the rise of the metaverse may change the way we use and manage the cloud.

Toward that end, here's a look at five main ways that the metaverse whatever form it ends up taking is likely to affect the cloud.

Related: 10 Ways IT Can Get Ready for the Metaverse

First and foremost, the rise of the metaverse is likely to increase demand for cloud computing services even further.

The reason why is simple: Hosting 3D environments requires a lot of compute and storage resources, and it's a safe bet that few businesses that want to run a metaverse environment will be purchasing their own hardware to do so. Instead, they'll turn to the cloud to host the metaverse, as they already do for a majority of other workloads.

So, add the metaverse to the list of reasons why cloud computing providers are likely to become even richer in coming years.

That said, the profits that the metaverse drives for cloud computing platforms may not flow primarily to the major generic public cloud providers namely Amazon, Google, and Microsoft.

Instead, we may see alternative clouds emerge that specialize in metaverse hosting. That's especially true given that the infrastructure necessary to run metaverse environments may require specialized hardware such as GPUs that are not currently a major focus of large public cloud providers. AWS, Microsoft Azure, and Google Cloud Platform (GCP) offer some GPU-enabled VM instances, but they don't specialize in that market, which creates an opportunity for smaller cloud providers to fill the gap.

To the extent that the large public clouds do invest in metaverse hosting, I suspect they will do it by launching managed services that will amount to metaverse-as-a-service which means fully hosted and managed offerings that enable customers to deploy their own, custom metaverse environments with little effort.

It's possible the cloud providers will build these metaverse services entirely from scratch just as AWS built its ECS container orchestration service by scratch, for example. Or, they may leverage open source metaverse platforms, like Vircadia, as the foundation for metaverse-as-a-service offerings in a fashion very similar to what they have done with Kubernetes.

One of the major technical challenges that may arise as the metaverse expands is ensuring that bandwidth limitations or internet connectivity disruptions don't disrupt users' ability to experience the metaverse seamlessly.

Another challenge may be securing personal data that users store or create within the metaverse. Although it remains to be seen how regulators will define or treat personal information in the metaverse, there is already good reason to believe that it will need to be protected in the same way that personally identifiable information is protected in a conventional cloud environment.

Both of these challenges the need for better performance and the need for high data security are likely to result in demand for hybrid cloud architectures as a means of hosting metaverse environments. Hybrid cloud can boost performance and availability by placing hosting resources closer to end users. It can also improve data security by allowing data to stay on private servers instead of exposing it to the public cloud.

Expect at least some metaverse entities, then, to be hosted in hybrid cloud environments.

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Another way to improve performance and availability for the metaverse is to push metaverse hosting and analytics to the "edge." In other words, users' own devices instead of cloud data centers and servers will be responsible for running at least some of the software that powers the metaverse. That approach will allow organizations to sidestep performance problems associated with relying on the internet as the only means of delivering metaverse connectivity.

Thus, expect edge computing however you define it to become even more important thanks to the metaverse. By extension, we'll likely see more investing in edge computing management platforms, like Kubernetes, that can help businesses keep track of the distributed edge infrastructure that hosts their metaverse environments.

Again, it's too early to say definitively how the metaverse will reshape cloud computing. But if I had to make early bets, they'd center on increased use of the cloud overall, and of hybrid and edge cloud architectures in particular. I also think we'll see cloud providers start building their own metaverse-as-a-service offerings, and there may be an opening for alternative cloud providers to serve the metaverse market in a way that the large public clouds won't.

Continued here:

Why the Metaverse Will Be a Boon for Cloud Computing - ITPro Today

Heres the truth about security certifications and courses: For those who are serious and want to put the time, money, and effort in to the coursework, they all have something to offer. While some require more prerequisites than others and still others are certifications versus certificates, each person has to be honest with themselves and recognize if they are beginners, or are they ready to make a more aggressive step.

Keep in mind that cloud computing security now ranks as the skill set in the shortest supply, according to the results of the fifth annual ISSA/ESG survey of cybersecurity pros, said Candy Alexender, board president of ISSA International. Prospective students and professionals should look to advance their careers through a mix of training in the form of formal cloud courses, online webinars and certification classes as well as on-the-job training.

They should focus on an understanding of SaaS models and how they integrate into security platforms and in-house protocols, Alexander said. Other skills that are important are an understanding of how to ask for and write contracts with a guarantee of security as well as an ability to test the protocols of the vendors that they choose.

Because cloud technology is so dynamic, employers also do like to see current expertise in some of the more popular vendor services and related technologies, such as the major cloud provider offerings, containers, identity systems, zero trust, and key management, said Jim Reavis, CEO of the Cloud Security Alliance.

Some developer skills are also valued, even for non-developer roles as you see an increase in techniques such as scripting to enable automation, he added.

Most experts will tell people just starting out to get a certificate from the Cloud Security Alliance or start by taking the Security+ certification course from CompTIA (see details below). Rank beginners should start with CompTIAs IT Fundamentals+ course. It only makes sense, because security pros need to develop a good grounding in information technology and security before they specialize in any one cloud platform over another. Students will learn the basics of cloud security by taking the Security+ course.

So what's out there? Below are seven training programs from reputable organizations dedicated to the IT and security field. This is not, of course, an exhaustive list. But it's a solid start.

SEC488: Cloud Security Essentials from SANS covers Amazon Web Services, Microsoft Azure, and Google Cloud, as well as the other cloud service providers (CSPs). The program starts by focusing on one of the most critical cloud topics: identity and access management. From there, the course moves on to a broad range of security topics through discussion and practical, hands-on exercises related to several important cloud topics in the different major cloud platforms: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS).

Prerequisites: A basic understanding of TCP/IP, network security, and information security principles are helpful, but not required. SANS considers familiarity with Linux command lines a bonus.

Details: One proctored exam with 75 questions over two hours. The minimum passing score is 61%. Cost is $7,640; GLCD certification: $949

The Certified Cloud Security Professional (CCSP) course from (ISC) has been geared for IT and information security leaders responsible for applying best practices to cloud security architecture, design, operations and service orchestration, including those in the following positions: cloud architect, cloud engineer, cloud consultant, cloud administrator, cloud security analyst, cloud specialist, auditor of cloud computing services, and professional cloud developer.

Prerequisites: To qualify for the CCSP, candidates must pass the exam and have at least five years of cumulative, paid work experience in IT, of which three years must be in information security and one year in one or more of the six domains of the (ISC)2 CCSP Common Body of Knowledge (CBK). A candidate who doesnt yet have the required experience to become a CCSP may become an Associate of (ISC)2 after successfully passing the CCSP exam. The Associate then has six years to build the experience to earn a CCSP.

Details: The CCSP has 125 questions and is a three-hour exam. Students need a score of 700 out of 1,000 to pass the exam. CCSP exam: $599; CCSP online instructor-led training: current retail price, $2,409.75; CCSP self-paced training: current retail price, $836.45

The Certificate of Cloud Security Knowledge (CCSK) from the Cloud Security Alliance has been widely recognized as one of the leading standards of expertise for cloud security and gives students a cohesive and vendor-neutral understanding of how to secure data in the cloud. Think of the CCSK credential as the foundation to prepare students to earn additional cloud credentials specific to certain cloud vendors or job functions.

Prerequisites: CCSK hasno experience requirements. The test asks students to demonstrate knowledge of three documents: the CSA Guidance, the CSA Cloud Control Matrix and the ENISA report.

Details: The CCSK is an open-book, 90-minute online exam with 60 multiple choice questions. The exam costs $395 and comes with two chances that the student has up to two years to use. The minimum passing score is 80%. Students can study on their own or enroll in training.

Infosecs Microsoft Azure Dual Certification Bootcamp teaches students important Microsoft Azure administration and security skills through hands-on labs and expert instruction. The intensive training prepares students to pass the two exams necessary to become Microsoft Certified: Azure Administrator Associate and Azure Security Engineer Associate.

Prerequisites: A basic understanding of cloud computing is recommended, but not required.

Details: Program covers seven days of live, expert Azure instruction, an exam voucher, unlimited practice exam attempts, a free annual Infosec Skills subscription ($599 value), one-year access to all boot camp video replays and materials. Cost is $4,399.

The AWS Certified Security Specialty trains people to develop the skills to run secure workloads in AWS environments. Much like the aforementioned training for Azure, this goes deeper on one of the most dominant platforms in the market today.

Prerequisites: AWS recommends that students have the following before taking this course:

Details: Includes 65 questions, either multiple choice or multiple response. Students have 170 minutes to complete the exam. Exam costs $300; three-day virtual prep course, Security Engineering in AWS; $2,095.

The Professional Cloud Security Engineer exam from Google can design and implement secure workloads and infrastructure on Google Cloud. Through an understanding of security best practices and industry security requirements, these students learn how to design, develop, and manage a secure infrastructure using Google security technologies. The course covers all aspects of cloud security: identity and access management, defining organizational structure and policies, using Google technologies to provide data protection, configuring network security defenses, collecting and analyzing Google Cloud logs, managing incident responses, and demonstrating an understanding of regulatory considerations.

Prerequisites: While there are no specific prerequisites, Google does recommend three or more years of industry experience, including more than one year designing and managing solutions using Google Cloud.

Details: The exam takes two hours and the registration fee is $200; consider the two-day Managing Security in Google Cloud course. Cost is $15 for 15 credits or $29 monthly subscription with Google for unlimited credits.

The Security+ Certification from CompTIA describes Security+ as a global certifications that validates the baseline skills necessary for a person to perform core security functions and pursue an IT security career. Security+ is widely considered the first security certification an IT pro should earn. Many also believe that students should take the IT Fundamentals course from CompTIA to get a good background in operating systems, networks and security concepts before diving into Security+. Students who earn the certification have acquired the following skills:

Prerequisites: Along with IT Fundamentals CompTIA recommends its Network+ certification plus two years of experience in IT administration with a security focus.

Details: The exam runs 90 minutes and has a maximum of 90 questions. The questions are multiple choice and performance based. The exam voucher costs $381. The full eLearning Bundle prep course complete with exam voucher and an exam retake costs $949.

More:

7 cloud security certifications and courses to help upskill your team - SC Media

DUBLIN, April 12, 2022 /PRNewswire/ --The "Cloud Computing Services, Platforms Infrastructure and Everything as a Service 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.

This report evaluates the global and regional markets for cloud services including IaaS, PaaS, and PaaS by solution type (private and public). The report provides an analysis of specific challenges and opportunities from both the customer and the cloud services provider perspective.

The report evaluates the general cloud service market as well as specific market opportunities within the healthcare, energy, insurance, entertainment, and financial services sectors. The report also evaluates the emerging growth drivers for cloud services including wearable technologies. It also includes specific recommendations for CSPs and their customers.

Cloud is an enabler of business process change as it facilitates key benefits including expenditure reduction (CapEx and OpEx), service development and delivery efficiencies, and greater flexibility to meet evolving business needs. Cloud technologies and solutions are becoming increasingly more important to communication service providers, enterprise, content and commerce providers. This is particularly the case as many IT departments predominantly implement virtualization of network functions and "softwaritization" of applications and operational support systems through the use of software-defined network solutions.

Clouded-based technologies are evolving at a rapid pace along with the myriad of ways in which services can be developed, implemented, and operated. Various players in the cloud ecosystem achieve varying degrees of sustainability in accordance with their ability to identify gaps in IT infrastructure and/or services delivery regardless of what technologies are in place today and anticipate how methods and procedures will need to evolve to capture future opportunities.

We see IT departments becoming increasingly savvy regarding the distinction between core cloud and edge computing used for distributed cloud computing. Fog computing represents an evolution of cloud computing that takes into account the need for some computing to occur at the edge of networks. It will be very important for the Internet of Things (IoT). However, it will raise some serious issues regarding data security and overall data management. One of the key areas will be big data analytics in terms of how real-time data is managed and optimized.

Similar to fog computing, but based on a different architectural approach, Mobile Edge Computing (MEC) represents cloud-computing capabilities and an IT service environment at the edge of mobile networks, such as LTE or 5G, but may also include WiFi. In cellular networks, the edge of the network includes base station infrastructure and data centers close to the radio network, which can extract network context from Radio Access Network (RAN) and process in a distributed manner.

MEC brings virtualized applications much closer to mobile users ensuring network flexibility, economy and scalability for improved user experience. It facilitates a service environment that allows seamless access experience and responsiveness for content, services, and applications. It provides mobile network operators with an opportunity to play a greater role in an emerging ecosystem as they can add value through optimized apps and content.

Supported by leading organizations such as ETSI ISG, IBM, Intel, Nokia Network, Huawei, NTT DoCoMo, Saguna, and Vodafone, MEC will be applied in a wide array of areas including content delivery, DNS caching, RAN optimization, offloading, IoT connectivity, distributed video, critical communications, and urban security. MEC is also anticipated to create a new ecosystem that will positively impact various vertical markets.

Arguably, a corporation's most critical asset is its data. As a result, optimizing data management assets, processes and procedures is of particular importance. This includes those data elements that are shared between the numerous applications, systems and services within the enterprise across all industry verticals. Only through reliable data management services can organizations truly realize the true potential of their own data as well as data from customers, suppliers, partners, and various third parties.

From an enterprise cloud service and infrastructure perspective, having a firm understanding of data management technologies and solutions is critical to all constituents in the value chain for all industry verticals. ICT leaders will be faced with many emerging challenges such as data management in the IoT era, advanced cloud architectures and solutions such as fog computing or MEC.

As cloud computing evolves, there is an increasing need for third-party support of cloud platforms, architectures, and services. Support takes the form of various cloud professional services ranging from data management, cloud brokering, and end-to-end cloud management.

Select Report Findings:

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction

3.0 Cloud Computing Technology and Markets3.1 Business Value Proposition3.2 Cloud Computing Ecosystem3.3 Telecom in Cloud Computing3.4 Cloud Computing Market Segmentation3.5 Cloud Computing Applications3.6 Cloud Computing Market Growth Drivers3.7 Cloud Computing Market Challenges

4.0 Global Cloud Computing Market Outlook4.1 Global Cloud Computing Revenue 2022 - 20274.2 Revenue by Cloud Computing Deployment Type4.3 Global Cloud Revenue by Software, Platform, and Infrastructure4.4 Global Cloud Services Revenue 2022 - 20274.5 Regional Cloud Computing Market Outlook4.6 Global Cloud Computing Revenue by Industry Vertical 2022 - 2027

5.0 Cloud Services in Internet of Things5.1 IoT Overview5.1.1 IoT will Drive Massive Data Storage and Processing Needs5.1.2 Processing Cloud IoT Data5.1.3 Dealing with Centralized Storage and Decentralized Processing5.1.4 Data Security and Personal Information Privacy are the Biggest Hurdles5.1.5 Enhanced Tools needed for Machine Generated Data in IoT5.1.6 Cloud Data Management for IoT Devices5.2 Leading Vendors in IoT Cloud Computing5.3 Cloud Computing in IoT Market Outlook

6.0 Cloud Computing Case Studies

7.0 Carrier Cloud Services7.1 Overview7.2 Carrier Clouds7.3 Mobile Edge Computing7.4 Carrier Cloud Market Outlook

8.0 Important Cloud Computing Industry Developments8.1 Cloud Computing Mergers and Acquisitions8.2 Cloud Computing Investments

9.0 Select Companies in Cloud Computing and Infrastructure9.1 Amazon Web Services, Inc.9.2 Microsoft9.3 Alibaba9.4 Google9.5 IBM9.6 VMware9.7 Oracle9.8 Rackspace9.9 Salesforce9.10 Adobe9.11 Verizon

10.0 Appendix: Fundamentals of Cloud Computing10.1 Cloud Computing Deployment Model Categories10.2 Cloud Technologies and Architecture10.3 Cloud Computing and Virtualization10.4 Moving Beyond Cloud Computing10.5 Rise of the Cloud-Based Networked Enterprise10.6 General Cloud Service Enablers10.7 Personal Cloud Service Enablers10.8 Cloud Computing Services10.9 Emerging Models: Everything as a Service10.10 APIs and Database10.11 The Need for Federated Database Model10.12 Enterprise Resource Planning in the Cloud10.13 Supply Chain Management in the Cloud10.14 Emerging Cloud-Based Applications10.15 Cloud Myths and Realities

11.0 Appendix: MEC Technology and Solutions11.1 MEC Characteristics11.2 Benefits of MEC11.3 MEC Architecture and Platforms11.4 MEC Technology and Building Blocks

For more information about this report visit https://www.researchandmarkets.com/r/qk2o30

Media Contact:

Research and MarketsLaura Wood, Senior Manager[emailprotected]

For E.S.T Office Hours Call +1-917-300-0470For U.S./CAN Toll Free Call +1-800-526-8630For GMT Office Hours Call +353-1-416-8900

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Global Cloud Computing Services Market Report 2022: Cloud Computing Revenue will Reach $519 Billion by 2027 at 23.7% CAGR - PR Newswire

San Antonio, Texas, April 11, 2022 (GLOBE NEWSWIRE) -- New Apprenticeship (NEW), a Department of Labor (DOL) registered tech apprenticeship program and AWS Authorized Training Provider (ATP), recently graduated their first Amazon Web Services (AWS) Cloud Computing cohort. With this AWS cohort and future cohorts, NEW hopes to address hiring needs for enterprises looking to build and grow their bench and to expand partnerships with organizations wanting to deepen business with existing clientele. The recent graduates are available for hire and prepared with the cloud skills they need to make immediate and effective contributions to businesses across the U.S.

NEWs AWS Cloud Computing program utilizes AWS-authorized instructors to deliver training that prepares learners for their first role in supporting cloud operations using AWS as the primary cloud architecture platform. The recent graduates completed 60 hours of training and gained skills in Linux Operating System, computer networking, Python scripting, AWS cloud computing fundamentals, and more. NEWs project-based model encourages learners to apply their growing knowledge in hands-on scenarios, thus preparing them for professional cloud roles.

Graduates will now finish final preparation for the AWS Cloud Practitioner Certification prior to beginning a rigorous 12-month apprenticeship in the cloud computing field. Throughout their time as apprentices, they will continue completing NEWs AWS-focused coursework and receive 144 additional training hours. Apprentices will receive expert coaching for leadership skills and job performance as well as workplace mentoring in full-time Cloud Specialist roles. Participants will prepare for further certifications including Google IT Support, Professional Scrum Master, and AWS Solutions Architect.

NEWs AWS Cloud Program Manager, LaRhonda Darby, recognizes that many businesses have migrated to cloud-based functionality, which creates a significant demand for AWS Cloud Practitioners. She is looking forward to seeing the cohort graduates excel in their roles as they grow into the field to meet this demand. Darby says:

We are AWS-certified, so our curriculum is also certified through Amazon. We take care of the whole learner - they learn soft skills, receive expert coaching, job readiness, and LinkedIn training. Were here to make better careers. At New Apprenticeship, we make sure our learners have the entire package; once you get someone from us, you have someone moldable. Someone great. Someone that can come into your company and make it better, because thats our goal.

NEW believes in meeting needs of both underrepresented talent and the modern workforce through the apprenticeship model. As they launch more AWS Cloud Computing cohorts in the near future, they will continue building sustainable tech talent pipelines for employers by equipping diverse, trained, and job-ready talent with the skills they need to become tech leaders.

Employers interested in learning more about apprenticeship as a hiring pathway can contact NEWs team directly here.

About New Apprenticeship

Founded in 2016 in San Antonio, TX, New Apprenticeship partners with employers nationally to transform lives by bridging the gap between what schools teach and only experience can bring. Offering programs not only in IT, but in Digital Marketing, AWS Cloud Computing, and Data Analytics as well, NEW offers a unique approach to both learning and hiring. The organization continues providing talent for employers in need of a skilled, adaptable, and future-ready workforce. NEWs experience-based learning and performance coaching system equips talent with the skills they need to accelerate their careers and provides employers with highly qualified and productive talent, creating future leaders in tech. For more information visit: NewApprenticeship.com. Employers can learn more about NEWs talent solution here.

Follow New Apprenticeship on LinkedIn https://www.linkedin.com/company/new-apprenticeship

Follow New Apprenticeship on Facebook https://www.facebook.com/newapprenticeshiptalent/

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New Apprenticeship Graduates First AWS Cloud Computing Cohort to Address the Tech Talent Gap for U.S. Employers - GlobeNewswire

DUBLIN--(BUSINESS WIRE)--The "Global Hyperscale Cloud Market: Analysis By End-User, By Region Size and Trends with Impact of COVID-19 and Forecast up to 2026" report has been added to ResearchAndMarkets.com's offering.

In 2021, the global hyperscale cloud market was valued at US$191.15 billion and is expected to grow to US$693.49 billion by 2026.

Some of the reasons companies are switching to hyperscale cloud computing are speed, reduced downtime losses, easier management, easier transition into the cloud, scalability based on demand, etc. The hyperscale cloud market is projected to expand at a CAGR of 29.40% over the forecast period of 2022-2026.

Market Segmentation Analysis:

In 2021, the BFSI segment lead the hyperscale cloud market, accounted for a 25.0% share of the market. The BFSI industry is expected to experience high growth, owing to the increasing number of banking applications, which has resulted in the exponential growth of data in the banking and financial services industry.

The manufacturing hyperscale cloud market is expected to grow at the highest CAGR of 31.35%. The scope for scaling operations up and down via the cloud enables manufacturing companies to mitigate market demand volatility.

The future of all levels of the manufacturing industry is expected to incorporate cloud computing technology to stay more securely connected with consumers and the supply chain, hence contributing to market growth

North America dominated the market in 2021 with almost 38% share of the global market. North America is anticipated to lead the global hyperscale computing market during the forecast period, due to the presence of well-established providers of hyperscale computing and increasing investment in technological advancements.

North America is further divided into three regions: The US, Canada, and Mexico. The emergence of 5G technology along with growth in Industrial IoT (IIoT), complemented by technologies like big data, blockchain, and artificial intelligence (AI) would boost the adoption of hyperscale cloud services in the US.

The hyperscale cloud market in the Asia Pacific is expected to hold a significant share, due to the presence of various developing countries and a growing number of hyperscale data centers. China held a major share of more than 45% in the Asia Pacific hyperscale cloud market in 2021

Global Hyperscale Cloud Market Dynamics:

Growth Drivers

One of the most important factors impacting hyperscale cloud market dynamics is the increasing adoption of cloud in SMEs. Most IT enterprises in SMEs need the advanced technology of cloud computing services to flourish their businesses and leave their footprints in various geographies. An increase in the demand for cloud computing by SMEs led to the growth in the hyperscale cloud market.

Furthermore, the market has been growing over the past few years, due to factors such as increasing penetration of IoT devices, growing usage of video streaming apps, growing AI software market, growing internet traffic, and an increasing number of hyperscale data centers, etc

Challenges

However, the market has been confronted with some challenges specifically, insecurity of data, need to incur huge capital expenditure as technology advances, etc

Trends: The market is projected to grow at a fast pace during the forecast period, due to various latest trends such as SaaS vendors re-platform onto hyperscale infrastructure, acceleration of digital transformation, hyperscalers dominating the IT spending, increasing 5G adoption, escalating edge computing, big data analytics, etc.

The spending on IT would increase significantly, with companies increasingly using IT to digitalize their service offerings. The three main hyperscalers are as likely to dominate the new additional total addressable market (TAM) as they increasingly become integrated into company service offerings. This would allow the hyperscalers to maintain high levels of growth over the coming years

Impact Analysis of COVID-19 and Way Forward:

Due to the pandemic, most companies have increased their cloud usage by more than they planned, resulting in higher cloud spending. In fact, according to a recent study by McKinsey & Company, companies globally have accelerated their cloud adoption compared to pre-pandemic adoption rates.

This marks a significant shift in the use of cloud-based solutions, from being purely data storage solutions to environments in which data is used transactionally and supports day-to-day business operations. Therefore, an increase in the demand for cloud computing services has led to significant growth in the hyperscale cloud market.

Demand for hyperscaling would continue to be driven by the accelerated digital transformation post-COVID, which would see corporates accelerate their shifting of on-premise systems to the cloud, and the adoption of hyperscale platforms as the main resource for software development, testing, and deployment.

Competitive Landscape:

The global hyperscale cloud market is highly concentrated, with few major players holding almost two-third of the market share

The top infrastructure cloud providers, called hyperscalers, such as AWS, continue to invest massively in their data centres. After a relatively weak 2019, their capex growth started to accelerate again in 2020 and has continued to do so

In the hyperscale revolution, Amazon, Google and Microsoft used their software development skills to disrupt several traditional industries, such as retailing (Amazon.com), advertising (Google Search) and productivity (Microsoft Office 365).

Then, these hyperscalers have extended their capabilities in data processing and IT networking to disrupt the IT industry itself, providing massive storage and computing platforms to enterprises, replacing the need to own datacenters filled with servers and customised software. This act is set to accelerate further over the next three years, with COVID triggering an acceleration of digitalisation trends.

Key Topics Covered:

1. Executive Summary

2. Introduction

2.1 Hyperscale Cloud: An Overview

2.1.1 Introduction to Cloud Computing

2.1.2 Introduction to Hyperscale

2.1.3 How Does Hyperscale Work

2.1.4 Benefits of Hyperscale Cloud

2.2 Hyperscale Cloud Segmentation: An Overview

2.2.1 Hyperscale Cloud Segmentation by End-Users

3. Global Market Analysis

3.1 Global Hyperscale Cloud Market: An Analysis

3.1.1 Global Hyperscale Cloud Market by Value

3.1.2 Global Hyperscale Cloud Market by End-User (Banking, Financial Services, and Insurance (BFSI), IT & Telecom, Retail & Consumer Goods, Media & Entertainment, Manufacturing, Energy & Utilities, Government & Public Sector, Healthcare, and Others)

3.1.3 Global Hyperscale Cloud Market by Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa)

3.2 Global Hyperscale Cloud Market: End-User Analysis

3.2.1 Global Banking, Financial Services, and Insurance (BFSI) Hyperscale Cloud Market by Value

3.2.2 Global IT & Telecom Hyperscale Cloud Market by Value

3.2.3 Global Retail & Consumer Goods Hyperscale Cloud Market by Value

3.2.4 Global Media & Entertainment Hyperscale Cloud Market by Value

3.2.5 Global Manufacturing Hyperscale Cloud Market by Value

3.2.6 Global Energy & Utilities Hyperscale Cloud Market by Value

3.2.7 Global Government & Public Sector Hyperscale Cloud Market by Value

3.2.8 Global Healthcare Hyperscale Cloud Market by Value

3.2.9 Global Others Hyperscale Cloud Market by Value

4. Regional Market Analysis

4.1 North America Hyperscale Cloud Market: An Analysis

4.2 Europe Hyperscale Cloud Market: An Analysis

4.3 Asia Pacific Hyperscale Cloud Market: An Analysis

4.4 Latin America Hyperscale Cloud Market: An Analysis

4.5 Middle East & Africa Hyperscale Cloud Market: An Analysis

5. Impact of COVID-19

5.1 Impact of COVID-19 on Hyperscale Cloud Market

5.2 Impact of COVID-19 on IaaS Public Cloud Services Market

5.3 E-Commerce Boom

5.4 Post COVID-19 Impact

6. Market Dynamics

6.1 Growth Drivers

6.1.1 Increasing Penetration of IoT Devices

6.1.2 Growing Usage of Video Streaming App

6.1.3 Growing AI Software Market

6.1.4 Growing Internet Traffic

6.1.5 Increasing Number of Hyperscale Data Centers

6.1.6 Increase in Adoption Of Cloud in SMEs

6.2 Challenges

6.2.1 Insecurity of Data

6.2.2 Need to Incur Huge Capital Expenditure as Technology Advances

6.3 Market Trends

6.3.1 SaaS Vendors Re-platform Onto Hyperscale Infrastructure

6.3.2 Acceleration of Digital Transformation

6.3.3 Hyperscalers to Dominate the IT Spending

6.3.4 Increasing 5G Adoption

6.3.5 Escalating Edge Computing

6.3.6 Big Data Analytics

7. Competitive Landscape

7.1 Global Hyperscale Cloud Players by Market Share

7.2 Global Hyperscale Cloud Players by Cloud Revenue

8. Company Profiles

8.1 Business Overview

8.2 Operating Segments

8.3 Business Strategy

For more information about this report visit https://www.researchandmarkets.com/r/r15t42

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Global Hyperscale Cloud Market Report 2022-2026 - SaaS Vendors Re-platform Onto Hyperscale Infrastructure & Hyperscalers to Dominate the IT...

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Arm chip architecture received another boost of support from Tetrate. The company, which is building service mesh support software, announced that their products will now support Arms Neoverse platform. Both of Tetrates major tools, Envoy and Istio, now run natively on the Arm chips that are rapidly becoming known for offering cheaper computing in cloud environments.

In addition, Tetrate is rolling out a hardened version of its code to support defense clients. Some federal customers want a version of Tetrates Istio to support Kubernetes and other services in various military clouds like the Platform One program and Iron Bank.

Tetrates tools simplify the job of linking together large networks of smaller applications that work conjointly. The idea of breaking up a software application into smaller, more manageable pieces known as microservices has become the dominant architecture.

It is now common for enterprise packages to be composed of dozens, hundreds or maybe even thousands of smaller microservices. These microservices need to coordinate and thats where Tetrate comes in. Their software handles the chores of communication and organizing the individual services into what it calls a mesh.

Tetrates software will encrypt messages as they travel between microservice providers, protecting any personal information along the way. The software will also authenticate the different nodes in the mesh, simplifying the job of ensuring security.

The Arm chips have been gaining popularity in cloud computing because they offer better performance at a lower price point. Nvidia, for instance, is making Arm-based chips with Arm cores and dubbing them DPUs or data processing units.

Several companies like Apple use the architecture because it can offer faster performance, while using less energy. Cloud vendors like Amazon have different needs than phone manufacturers, but saving electricity is a big focus for them.

In their announcement, Tetrate targeted the new Gravitron processors launched by AWS and highlighted their faster benchmark scores. The new Graviton3 is said to offer 25% better performance than the earlier Gravitron2, but some jobs may see even more. Some machine learning training algorithms, for instance, rely heavily on single precision floating-point calculations and AWS estimates that the Graviton3 may double the speed for these particular tasks.

We are just like another workload running on these chips, so the reduction [in cost and run time] will be similar to any other workloads they see, explained Varun Talwar, a cofounder of Tetrate. It ranges anywhere from 10% to 35% depending on the situation, he claims.

While Tetrate partnered with both Arm and AWS in this particular project, the Arm chip is finding traction in other deployments. Talwar says that Tetrate was motivated by seeing the Arm chips appear in some of the hardware running in edge machines close to the users.

Those projects tend to use lighter weight Kubernetes and they are very sensitive to compute time, cost and latency. said Talwar.

The federal customers share all of these needs with increased worries about security. The new hardened versions of Tetrate tools will also support Arm architectures.

For us to have a secure build where they are actually using it for authentication, authorization and encryption for every service to service communication and to run that at scale is quite a significant achievement, explained Talwar.

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Tetrate announces its tools will now run natively on Arm chips - VentureBeat

CHICAGO, April 15, 2022 (GLOBE NEWSWIRE) -- Kin + Carta announced today that it has earned the Windows Server and SQL Server Migration to Microsoft Azure advanced specialization, a validation of a solution partners deep knowledge, extensive experience and expertise in migrating Windows Server and SQL Server-based workloads to Azure.

Only partners that meet stringent criteria around customer success and staff skilling, as well as pass a third-party audit of their migration practices, are able to earn the Windows Server and SQL Server Migration to Azure advanced specialization.

As companies look to modernize their applications and take full advantage of the benefits that cloud computing can deliver, and with the recent end-of-support for Windows Server 2008 R2 and SQL Server 2008 R2, they are looking for a partner with advanced skills to assess, plan, and migrate their existing workloads to the cloud.

Obtaining an Advanced Specialization with Microsoft is an incredible accomplishment for the firm and showcases our commitment to the growth and success of our people and our partnerships. We have heavily invested in our technical skills and value propositions as a firm and will continue to grow our global partnership with Microsoft, said J Schwan, CEO at Kin + Carta.

Rodney Clark, Corporate Vice President, Global Partner Solutions, Channel Sales and Channel Chief at Microsoft added, The Windows Server and SQL Server Migration to Microsoft Azure advanced specialization highlights thepartners who can beviewed as most capable when it comes to migrating Windows-based workloads over to Azure. Kin + Carta clearly demonstrated that they have both the skills and the experience to offer clients a path to successful migration so that they can start enjoying the benefits of being in the cloud.

Kin + Carta offers a wide variety of services across the Microsoft portfolio including business applications, cloud modernization, application development and data & AI. As a Gold Microsoft Partner with five gold competencies and two silver competencies, Kin + Carta has extensive experience serving clients on their cloud modernization journey.

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Media ContactKat Hollingsworthkat.hollingsworth@kinandcarta.com(214) 529-2332

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Kin + Carta Has Earned the Windows Server and SQL Server Migration to Microsoft Azure Advanced Specialization - GlobeNewswire

The Cloud Computing in Cell Biology, Genomics and Drug Development Market report offers the size of the market, market share, and market segmentation, an in-depth research study of the demand. The report further identifies the most recent disruption in the area of Cloud Computing in Cell Biology, Genomics and Drug Development and includes a detailed market intelligence survey. Similarly, the Cloud Computing in Cell Biology, Genomics and Drug Development article discusses the cost structure and production process in detail. The Cloud Computing in Cell Biology, Genomics and Drug Development analysis also provides a quick description of the market dynamics as well as predictions for the Cloud Computing in Cell Biology, Genomics and Drug Development based on consumption, product, and geographic regions. Product features, business portfolio, product price, sales, and contact details are all included in the keyword analysis.

Crucial references pertaining to the competition spectrum, identifying lead players have been well incorporated in this research report.The major players covered in Cloud Computing in Cell Biology, Genomics and Drug Development are:Google Inc.Box IncOracle CorporationAmazon Web Services, Inc.BenchlingIBM Corp.Dell EmcArisglobalMicrosoft Corp.Cisco SystemsCognizantInformaticaDincloudExponential-e

A detailed overview of upstream raw materials, downstream demand and equipment analysis can also be found in the Cloud Computing in Cell Biology, Genomics and Drug Development study. In addition, the Cloud Computing in Cell Biology, Genomics and Drug Development report addresses the current business situation among key players, the value chains characteristics, and a general overview of market prices. In addition, the study report provides valuable market segmentation knowledge that is crafted using primary and secondary research techniques. The Cloud Computing in Cell Biology, Genomics and Drug Development research delved into marketing platforms and industry dynamics, as well as current and potential demand scenarios.

The key regions covered in the Cloud Computing in Cell Biology, Genomics and Drug Development market report are:North America (U.S., Canada, Mexico)South America (Cuba, Brazil, Argentina, and many others.)Europe (Germany, U.K., France, Italy, Russia, Spain, etc.)Asia (China, India, Russia, and many other Asian nations.)Pacific region (Indonesia, Japan, and many other Pacific nations.)Middle East & Africa (Saudi Arabia, South Africa, and many others.)

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Segmentation by Type:

Public CloudPrivate CloudHybrid Cloud

Segmentation by Application:

Pharmaceutical and Biotechnology CompaniesContract Research Organizations (CROs)Clinical LaboratoriesHospitals and Research InstitutesOthers

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Cloud Computing in Cell Biology, Genomics and Drug Development Market Expected to Reach Highest CAGR 2028: The major players covered in Cloud...

The increasingly endless pool of data that businesses generate is becoming increasingly difficult to sort and analyze. Businesses are inundated with data that compounds daily as IoT and AI technology continues to evolve. And unless a business is properly set up to collect, store, and analyze the data they collect, the data itself becomes virtually useless.

Edge Computing versus the Cloud

The solution edge computing. Edge computing is predicted to reach a market size of $40B by 2027 with a compound annual growth rate of over 30%. Today, every major IT company and telecommunications company has embraced edge computing. Its important to understand that cloud computing is also growing, so this is not a zero-sum solution. The growth of edge computing does not come at the cost of cloud computing. Both will grow well into the future, explained Mahadev Satyanarayanan (Satya).

Satya is often referred to as one of the fathers of edge computing. His long list of accolades includes being a Deloitte Cloud Institute Fellow and Carnegie Group University Professor of Computer Science at Carnegie Mellon University. When it comes to the future of data management and evolving technology, Satya is one expert that provides insightful guidance on emerging trends and what they mean to the world at large.

Introducing Edge Native Applications

Applications are being created and designed to work specifically with the properties of edge computing. These applications utilize multiple layers of computing which is a confusing subject for many people. Satya explained edge computing to reduce confusion about what the term means. Its useful to think in terms of tiers of computing. Tier one is the cloud. Tier three is mobile and IoT devices Tier two refers to a small cloud with excellent network proximity to tier three, and we refer to such a small cloud as a cloudlet.

Edge native applications require the use of both tier two and three to operate successfully, especially applications that are compute-intensive, bandwidth-hungry, and latency-sensitive. However, it should be noted that tier one computing is often required for successful operations. Satya predicts that this class of applications [will] grow and enrich the space of edge computing in the future.

Platform9 notes that the global coronavirus epidemic has accelerated the need for edge computing due to the massive increase in remote work environments, telemedicine, and distance learning to name a few. And while most data will stay local, the need for scalable, easily programmable, responsive infrastructure at the edge will increase.

Cloudlets Critical to Successful Data Management

Although data is captured with tier three computing devices, the ability of these devices to process data in real-time is limited at best. In todays hyperconnected world, companies need a way to scale and analyze data faster, cheaper and better. The only way to do that is to move out of the cloud and on to the edge of the network and internet, where most of the future data will be generated (Crunchbase).

Satya noted that the ability to offload computation to cloudlets is crucial to success, and the role of the cloud is to provide the virtually unlimited computing resources that can be used for tasks that do not have stringent bandwidth or latency constraints on them.

This is further supported by industry predictions estimating that 75% of all data will be processed at the edge by 2022. Furthermore, it is also estimated that by 2025 nearly one-third of all the workloads in the world will run at the edge. (Crunchbase)

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The Future of Data Management According to the Father of Edge Computing - MarketScale

Dublin, April 15, 2022 (GLOBE NEWSWIRE) -- The "Global Software Consulting Market Size, Share & Industry Trends Analysis Report By Enterprise Size, By Vertical, By Application (Enterprise Solutions, Migration & Maintenance Services & Others), By Regional Outlook and Forecast, 2021-2027" report has been added to ResearchAndMarkets.com's offering.

The Global Software Consulting Market size is expected to reach $458.5 billion by 2027, rising at a market growth of 12.1% CAGR during the forecast period.

Software consulting is the practice of advising on the best software solutions for a company's business strategy. Different software solutions are being sought by businesses in order to align their technology investments. A software consultant is employed as a contractor for a certain amount of time in the software consulting process. Software consulting firms assist businesses in optimizing, designing, processing, architecting, and implementing software. Furthermore, these services assist businesses in making decisions about software technology and their software adoption investment plan. It also enables businesses to have a clear strategy for technology advancement and to come up with innovative ways to streamline corporate procedures.

Technical skills for improving and maintaining software, onsite management services, support & testing services, and system designing and planning services are all provided by software consulting organizations. Software consulting is the process of finding a software solution to optimize a company's operations while saving time.

Software consultants are familiar with the business domain and model. They advise businesses on software solutions that are vital for their technical progress and can add value to their organization through new solutions, enhanced IT architecture, or better integration between current solutions based on this knowledge. For technology updates, businesses are turning to third-party service providers. The service providers examine a company's software's technical advancements.

Many businesses rely on software consulting services to stay afloat in today's fast-paced technology environment. The market is likely to be driven by increasing digitization in corporate operations. Offshoring and globalization are also likely to boost consulting services demand. Enterprises are projected to adopt new technologies like cloud computing and mobile computing, resulting in an increase in the need for consulting services. The expansion in the number of small and medium businesses, as well as the need for more advanced software solutions, is likely to open up new market prospects for building successful software consulting business models.

COVID-19 Impact Analysis

The market is rising because to a growing demand for digitization of business processes throughout sectors and verticals, particularly for the smooth integration of software into an enterprise's IT system. However, as a result of the Covid-19 epidemic and the global economic slump, various sectors are experiencing substantial consequences and problems across crucial operations.

While the industry has grown significantly in recent years as a result of digitization and technological penetration, the pandemic has forced numerous nations to the brink of recession. As a result, a large number of consulting customers are deferring projects, lowering project scope to save money, or cancelling them entirely. Multiple client projects that were cancelled have had a negative impact on vendor revenues and have hampered market growth in the short term.

Market Growth Factors:

Lower infrastructure and storage costs result in a higher return on investment

Businesses are apprehensive about the expenses of data hosting on-premises, both in terms of deployment and maintenance. Furthermore, employee costs and challenges with downtime are two additional worries for businesses. The current competitive environment and global economic conditions have hastened the use of cost-effective business model restructuring strategies. Another reason driving the use of cloud computing services is the rising movement of businesses toward digital transformation and the acceleration of customer experience, both of which are lowering corporate expenses. Furthermore, the cloud provides the pay-as-you-go approach, which allows businesses to pay for cloud services based on how often they use them, resulting in lower prices.

While some IT positions were affected during the epidemic, most IT employees have found it relatively simple to obtain new jobs because to the current skills need. Because IT leaders are aware of the scarcity of talent, they are deliberating carefully before cutting roles. Their organisations, on the other hand, require the correct combination of abilities at any given time, which is a shifting objective.

Hybrid cloud services are becoming more popular

Enterprises with current infrastructure are migrating toward cloud computing services and are prepared to use a hybrid strategy in order to gain the benefits of both on-premises and cloud services. Furthermore, SMEs are significantly considering cloud computing services which is leading to significant benefits such as no upfront infrastructure expenses and compute resources that are available on demand. These variables are influencing the adoption of hybrid cloud services by businesses. Furthermore, the hybrid cloud provides improved workload management, higher security and compliance, and seamless interaction within DevOps teams.

Businesses are turning to the hybrid cloud approach to solve problems that are tough to solve with legacy systems. Hybrid cloud bridges the gap between IT and companies by increasing agility and efficiency while also delivering IT resources quickly and at a reasonable cost. It allows businesses to scale up or down existing applications and infrastructure as needed, while also providing users with high-speed performance and high dependability.

Market Restraining Factors

A growing array of multi-sourcing strategies are being used

Rather than taking a one-size-fits-all strategy, an increasing number of companies are splitting down big consulting contracts into smaller parts and enlisting the help of many vendors to complete tasks. Because consulting companies do not always have competence in every practise area, healthcare organisations are gradually embracing the multi-sourcing approach.

Healthcare providers, payers, and government agencies are all pushing for numerous consulting companies to work together on projects. Multi-sourcing, on the other hand, may have its own set of challenges and issues since it necessitates effective and reliable service integration amongst vendors. This might have a detrimental influence on consultancy businesses' profitability.

Key Topics Covered:

Chapter 1. Market Scope & Methodology

Chapter 2. Market Overview2.1 Introduction2.1.1 Overview2.1.1.1 Market Composition and Scenario2.2 Key Factors Impacting the Market2.2.1 Market Drivers2.2.2 Market Restraints

Chapter 3. Competition Analysis - Global3.1 KBV Cardinal Matrix3.2 Recent Industry Wide Strategic Developments3.2.1 Partnerships, Collaborations and Agreements3.2.2 Product Launches and Product Expansions3.2.3 Acquisition and Mergers3.3 Top Winning Strategies3.3.1 Key Leading Strategies: Percentage Distribution (2017-2021)3.3.2 Key Strategic Move: (Acquisitions and Mergers: 2017, Sep - 2022, Jan) Leading Players

Chapter 4. Global Software Consulting Market by Enterprise Size4.1 Global Large Enterprises Market by Region4.2 Global Small & Medium Enterprises (SMEs) Market by Region

Chapter 5. Global Software Consulting Market by Vertical5.1 Global BFSI Market by Region5.2 Global IT & Telecom Market by Region5.3 Global Manufacturing Market by Region5.4 Global Government Market by Region5.5 Global Retail Market by Region5.6 Global Healthcare Market by Region5.7 Global Automotive Market by Region5.8 Global Others Market by Region

Chapter 6. Global Software Consulting Market by Application6.1 Global Enterprise Solutions Market by Region6.2 Global Migration & Maintenance Services Market by Region6.3 Global Software Security Services Market by Region6.4 Global Design Services Market by Region6.5 Global Application Development Market by Region6.6 Global Application Testing Services Market by Region6.7 Global Others Market by Region

Chapter 7. Global Software Consulting Market by Region

Chapter 8. Company Profiles8.1 Ernst & Young Global Limited8.1.1 Company Overview8.2 Accenture PLC8.2.1 Company Overview8.2.2 Financial Analysis8.2.3 Segmental and Regional Analysis8.2.4 Research & Development Expenses8.2.5 Recent strategies and developments:8.2.5.1 Partnerships, Collaborations, and Agreements:8.2.5.2 Acquisition and Mergers8.2.5.3 Product Launches and Product Expansions:8.2.6 SWOT Analysis8.3 Cognizant Technology Solutions Corporation8.3.1 Company overview8.3.2 Financial Analysis8.3.3 Segmental and Regional Analysis8.3.4 Recent strategies and developments:8.3.4.1 Acquisition and Mergers8.3.5 SWOT Analysis8.4 Deloitte Touche Tohmatsu Limited8.4.1 Company Overview8.4.2 Financial Analysis8.4.3 Segmental Analysis8.5 IBM Corporation8.5.1 Company Overview8.5.2 Financial Analysis8.5.3 Regional & Segmental Analysis8.5.4 Research & Development Expenses8.5.5 Recent strategies and developments:8.5.6 SWOT Analysis8.6 Atos Group8.6.1 Company Overview8.6.2 Financial Analysis8.6.3 Segmental and Regional Analysis8.6.4 Recent strategies and developments:8.6.4.1 Acquisition and Mergers8.6.4.2 Product Launches and Product Expansions:8.6.5 SWOT Analysis8.7 Capgemini SE8.7.1 Company Overview8.7.2 Financial Analysis8.7.3 Regional Analysis8.7.4 Recent strategies and developments:8.8 Oracle Corporation8.8.1 Company Overview8.8.2 Financial Analysis8.8.3 Segmental and Regional Analysis8.8.4 Research & Development Expense8.8.5 Recent Strategies and Developments8.8.5.1 Partnerships, Collaborations, and Agreements:8.8.5.2 Acquisitions and Mergers:8.8.6 SWOT Analysis8.9 SAP SE8.9.1 Company Overview8.9.2 Financial Analysis8.9.3 Segmental and Regional Analysis8.9.4 Research & Development Expense8.9.5 Recent strategies and developments:8.9.5.1 Product Launches and Product Expansions:8.9.6 SWOT Analysis8.10. CGI, Inc.8.10.1 Company Overview8.10.2 Financial Analysis8.10.3 Regional Analysis8.10.4 Recent strategies and developments:

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Insights on the Software Consulting Global Market to 2027 - Lower Infrastructure and Storage Costs Result in a Higher ROI - GlobeNewswire