Category Archives: Cloud Computing

Cloud computing is helping to keep NASA’s Perseverance Mars rover on track – ZDNet

Panorama, taken on 20 February, 2021, by the Navcams aboard NASA's Perseverance Mars rover.

Amazon Web Services (AWS) has explained the role of cloud computing in processing data sent back from NASA's Perseverance explorer on Mars.

During Perseverance's mission on Mars, the science and engineering data will be processed and hosted in AWS. The Mars Rover team is receiving hundreds of images from Mars each day from a record number of cameras, resulting in thousands of images over Perseverance's time on the planet; using the cloud helps NASA Jet Propulsion Lab to store, process, and distribute this high volume of data, according to AWS.

AWS is processing data from Mars on behalf of NASA, helping inform how the Mars rover handles the terrain.

SEE: Research: Why Industrial IoT deployments are on the rise (TechRepublic Premium)

"The rover requires visibility to drive, so it is important for the team to be able to send the next batch of instructions back to the rover within a specific timeframe. The increased efficiency will allow Mars 2020 to accomplish its ambitious goal of collecting more samples and driving longer distances during the prime mission, compared to previous rovers," AWS expained.

The Mars 2020 Perseverance rover is scoping out the geology of the red plant and is looking for signs of ancient life. The mission launched on July 30 and will collect and store rock and soil samples that could be returned to Earth in the future.

Besides collecting physical samples, NASA's Jet Propulsion Laboratory Perseverance mission is a roving smartphone packed with sensors, such as a cameras and microphones, to collect data.

But why would the NASA mission need microphones on Mars?

"The sensors will gather scientific data like atmospheric information, wind speeds, and weather. The microphones will collect the sounds of the planet. This data will be processed by JPL and made publicly available so viewers can explore Mars alongside NASA JPL," AWS states. AWS is also providing a 3D view of Mars from the perspective of Perseverance.

SEE:5G and edge computing: How it will affect the enterprise in the next five years

Cloud computing is far from the only technology being used by the project; there is also a significant role for Linux and open-source technologies.

The AWS contribution to NASA's mission matches up with Amazon's former CEO Jeff Bezos' space ambitions with his rocket company, Blue Origin.

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Cloud computing is helping to keep NASA's Perseverance Mars rover on track - ZDNet

The changing face of colocation: Winds of change – and new challenges – Cloud Tech

Arguably the roots of the colocation market can be traced back 20 or more years ago to the original dot com boom era. This created demand from eCommerce businesses and ISPs for a more cost-effective way of the housing of their growing server farms and the idea of sharing secure IT spaces with others was born.

These days colocation is maturing and based on our own experience at Vantage Data Centers the needs of colocation customers have evolved. The value proposition appears on first pass to be the same as ever: secure hosting, processing and storing data. However, much has and is changing beneath the surface and is redefining what users expect from colocation. Hosting often complex private and hybrid cloud environments is a good example. Moving forward, older, smaller, and increasingly power strapped facilities will therefore find it increasingly challenging to compete for the colocation business of todays more sophisticated buyers.

Colocation data centres are not commodities. Of course, cost will always be an important factor to users, however, it is not the overriding decider. Enterprise users, service providers and SIs are now far more demanding in what they need and expect from their colocation providers. Knowledgeable and discerning buyers now demand hard evidence of data security and environmental compliance; commitment to renewable energy sources; forward power availability; multiple connectivity options; uptime track records; and iron clad SLAs.

Stepping back there have been various drivers for change over the past two decades, most notably concerns over data location and security following 9/11 in New York and 7/7 in London; advances in networking technology; more sophisticated remote diagnostics; and significant reductions in connectivity costs.

Enterprise organisations, systems integrators and service providers now have far greater choices in terms of physical data centre location no longer being limited to facilities in the London Docklands/M25 area due to lack of high-speed fibre elsewhere. A few operators, including Vantage, have succeeded in establishing very large purpose-built colocation facilities in UK regions where real estate and labour is considerably less expensive. While this translates into lower rates for users, of equal importance, those built in more rural areas are also out of harms way with significantly lower risk profiles than major metropolitan alternatives.

Today, the colocation data centre industry faces challenges as a consequence of the exponential growth in cloud computing along with IoT-driven big data and HPC requirements. These are making unprecedented demands on data centre technical infrastructure, power, cooling and connectivity. With this, there is a major requirement, quite correctly, for sustainability including commitment to renewable energy usage.

With the cloud and the huge demand for as a service subscription models such as IaaS, SaaS and PaaS, enterprise companies have increasingly realised that they need many different types of cloud services to meet a growing list of user and customer needs. For the best of both worlds, hybrid cloud is increasingly popular. It offers a private cloud combined with the use of public cloud services which together can create a unified, automated and well-managed computing environment. This is attractive to organisations requiring the flexibility, cost savings and elasticity of public cloud services while still retaining control of sensitive applications and maintaining compliance.

But aside from the considerable power to rack considerations, hybrid cloud environments are only as good as the weakest link: the public clouds connection to the data centre. This has led to some colocation data centres bypassing the Internet with cloud gateways, allowing faster, more secure private connections directly into global public cloud network infrastructures. However, only a few colocation data centres are directly connected to these networks for enabling optimised performance and very low latency.

Another key factor to consider is a data centres level of engineering competence, necessary not only for configuring and interconnecting these complex hybrid environments, but also for helping businesses bring their legacy IT into the equation.

Big data and the Internet of Things are major contributors to the High-Performance Computing (HPC) requirements of both commercial and not-for-profit sectors. These environments demand power, cooling and connectivity to support clusters of very high-density server racks, some pulling as much as 60 kWs. With this, Vantage Data Centers has focused on ensuring its campuses, including CWL1 (formerly NGD) near Cardiff, are fully capable of supporting customer HPC installations.

There are currently very few colocation data centres with this capability in the UK due to the abundant levels of power required, let alone direct to grid connections for reducing the potential of outages. As a work around, most facilities must put in place UPS and auxiliary power systems capable of supporting all workloads running at the same time, along with overhead and enough redundancy to deal with any failure within the emergency power supply system itself. This and the specialist cooling needs of HPC are a tall order for many providers today, and as result, most are unable to address this high-growth market opportunity without significant upgrading.

In summary, the colocation data centre business has evolved into something altogether more complex than two decades ago. To remain at its forefront now requires substantial investment as well as innovation and agility to be able to adapt to continuously changing customer needs.

Interested in hearing industry leaders discuss subjects like this and sharing their experiences and use-cases? The Data Centre Congress, 4th March 2021 is a free virtual event exploring the world of data centres. Learn more here and book your free ticket:

Tags: colocation, data centre, hpc, Hybrid Cloud, Vantage Data Center

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The changing face of colocation: Winds of change - and new challenges - Cloud Tech

Top 5 trends that will reform cloud computing in 2021 – Business MattersBusiness Matters

Pandemic has nudged many budding startups and big companies to adopt cloud services to ensure business continuity.

Top cloud players like AWS, Azure, google cloud are expected to grow bigger by end of 2021 and 60% of companies go serverless.

These 5 cloud computing trends will witness improvements in 2021.

Hybrid could is a combination of on-premise private cloud and public cloud services with a seamless balance between platforms. The majority of the organizations utilize the hybrid cloud computing system to upkeep their workflow and production because of the following reasons:

The above benefits offered by a hybrid cloud help fit into all the possibilities, making it an excellent resource for businesses and large organizations.

IDC says that many companies have large data centers that cant move to the cloud easily as a result, companies will opt for hybrid cloud architecture by 2022.

FaaS (otherwise called Function-as-a-Service) is a type of cloud-computing service that allows you to write and update a piece of code without the complex infrastructure typically associated with building and launching microservices applications. A FAAS example: AWS Lamba from amazon.Cision says more tech giants will pick up FaaS as a tool to encounter market expansion of almost a 7.72million by 2021

Some of the important advantages of FaaS implementation are:

Improved developer velocity

There is no good time for developers! But thanks to FaaS, that helps developers to spend more time on logic instead of worrying more about servers and deploys.

Built-in scalability

FaaS code is inherently scalable! This helps in handling all the scaling concerns without chaos! And of course, developers dont have to worry about creating possibilities for high traffic or heavy use.

Cost efficiency

Serverless FaaS providers do not charge for idle computation time. Because of this, clients no need to waste money over-provisioning cloud resources rather only pay for computation time.

Therefore, the role of FaaS in cloud computing trends for the upcoming year would dominate.

Mobile Cloud Computing(MCC) most talked about trend in this century!

MCC is the combination of cloud computing and mobile computing that is used to enable the execution of rich mobile applications on a plethora of mobile devices, with a rich user experience.

Trends that impact the future of Mobile cloud computing:

Software is eating the world so many of the industries realized the need to move their business infrastructure to the cloud

The below 2 components make up the cloud-native technology stack:

1. Containerization

Containers are rapidly turning into the new blueprint for application development with revenue growth of 24 million by 2024.

This is because :

2. Orchestration Platforms

The cloud orchestration market is estimated to be valued up to US$ 20 Bn globally by 2025.

These platforms, like Kubernetes, reduce the complexity of container management across different cloud service providers with automation which results in an individual process of workflow.

A cloudless server is a technology that will be a prominent highlight in top cloud computing trends 2021. Serverless computing technique for implementing functions in the cloud on a required basis this technique helps industries to work on a huge space on core products without the pressure to manage servers.These serverless computing techniques can change the conception of cloud adoption with endless advantages.

If this is not convincing, Satya Nadella, chief executive officer at Microsoft, favors serverless models. As per him, serverless computing is driving major changes in the development paradigm, which can not only be responsive and back-end computing but can also be the future of distributed computing.

An important aspect noticed in the trends for cloud computing in 2021 focuses on automation, security, and tooling improvements that will be more effective, accessible, and versatile in the future.

The 2021 trends of the cloud computing market ensure great support for the global industries. So, you can start planning up your business and inquire about the provider about these trends.

The factors to be considered while taking cloud service are:

So, aspiring cloud professionals and enterprise users be ready to embrace the new changes and improvements in cloud computing.

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Top 5 trends that will reform cloud computing in 2021 - Business MattersBusiness Matters

Cloud Computing Explained: What is Serverless SQL and Why Should You Care? –

@adipolakAdi Polak

Software Developer Blogger Speaker 1 of 25 influential women in Software Development

Well. Let's start by examining what Serverless really means.

According toWikipedia, serverless computing is a cloud computing execution model where the cloud provider manages the server and dynamically allocates the resource needed to finish the task.

That means, as users, we are in charge of the logic only. We don't need to take care of the servers, capacity planning, or maintenance operations scale. It doesn't mean they are not happening; they are, just not by us.

According toWikipedia, SQL is a domain-specific programming language used for managing data held in relational databases.

Serverless SQL is a distributed computing tool that enables us to process distributed data using SQL language without managing the databases servers themselves. If we have data, or "big data" in one or more of our data lake/storages, likeAWS S3orAzure blob storage,we can run SQL query on that data without the need to build a pipeline or inject the data into distributed databases such as Cassandra or MongoDB.

This is a huge advantage, especially when we would like to interact with offline data without creating the pipelines or peek at completely fresh new data that was just sunk into the storage before replicating/transforming and saved into a dedicated Database.

As with all cloud services, there is a need to understand the cost model. with serverless, we pay-per-use. That means that we pay for the amount of processed data.

If we ran a

Lead Photo by C Dustin on Unsplash

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Impact of Covid-19 on Cloud Computing for Business Operations Market 2021 Is Booming Across the Globe Explored in Latest Research with Top Key…

COVID-19 has influenced each part of life comprehensively, this has brought along some changes in economic situations.

Cloud Computing for Business Operations Market with Insights and Key Business Factors

The Global Cloud Computing for Business Operations Market is comprehensively and Insightful information in the report, taking into consideration various factors such as competition, regional growth, segmentation, and Cloud Computing for Business Operations Market size by value and volume. The new report on the worldwide Cloud Computing for Business Operations Market is committed to fulfilling the necessities of the clients by giving them thorough insights into the market. The various providers involved in the value chain of the product include manufacturers, suppliers, distributors, intermediaries, and customers. Exclusive information offered in this report is collected by analysis and trade consultants. The reports provide Insightful information to the clients enhancing their basic leadership capacity identified.

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TheMajorPlayers Covered in this Report: Amazon Web Services, Microsoft Azure, Google Cloud Platform, IBM Cloud, Red Hat, SAP Cloud Platform, Kamatera, VMware, Oracle Cloud, Salesforce Cloud, Cisco Systems, Verizon Cloud, HPE Cloud, ServiceNow, Alibaba Cloud, DigitalOcean, CenturyLink, Workday, CloudSigma, Adobe Cloud & More.

Market Segment by Type, the product can be split intoInfrastructure as a Service (IaaS)Platform as a Service (PaaS)Software as a Service (SaaS)Recovery as a Service (RaaS)Market Segment by Application, split intoPrivate CloudHybrid CloudOthers

The study also provides an overview of the Global Cloud Computing for Business Operations Market, considering the key geographies and the segmentation. The report also studies the distribution channels and the latest technological advancements in the market. The report also studies the prevailing challenges that the industry is facing currently. This study is intended to provide the experts and professionals with a competitive benchmarking of the Global Cloud Computing for Business Operations Market. The study provides up-to-date information on the market share, key strategies of the leading players, profit margins, and capabilities.

Some of the key geographies mentioned in this report include:

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Research Methodology:

The research methodology used to examine and forecast the Global Cloud Computing for Business Operations Market beings with collecting data on major players through secondary research. Some of the secondary sources used in this report to extract information include facts from different journals and databases such as Morning Star, Factiva, OneSource, IEEE Journals, and Hoovers. The vendor offerings have also been taken into consideration to determine the segments and sub-segments of the market. The report also carries out a bottom-up approach to determine the overall size of the Global Cloud Computing for Business Operations Market, as well as the revenues of the key vendors operating in it.

Key features of this report are:

Study Objectives of Global Cloud Computing for Business Operations Market:

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Contact UsJay MatthewsDirect: +1 513 549 5911 (U.S.)+44 203 318 2846 (U.K.)Email: [emailprotected]

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Impact of Covid-19 on Cloud Computing for Business Operations Market 2021 Is Booming Across the Globe Explored in Latest Research with Top Key...

Cloud Computing in Education Market by Manufacturers, Regions, Type and Application, Forecast To 2028 NY Market Reports – NY Market Reports

Scope of the Global Cloud Computing in Education Market

In terms of volume and value, a credible market size is given by the global Cloud Computing in Education market research report. Historical and recent market status with projected market size and developments are described in a simple manner in the report with a review of accurate data. In addition, the report offers primary variables like the geographical overview, the market segmentation, and the corporate profiles of suppliers of the industry operating in the market. It also provides data on the global growth prospects of the Cloud Computing in Education Industry in the target market. Market growth factors, risks, opportunities, threats, distributors, distribution channels and much more are additional market knowledge available in the research study. This involves important criteria as far as the dynamics of the target market are concerned, as well as shifting driving forces influencing the vertical marketing graph of the industry and risks unique to the business. The analysis also helps to understand the dynamics of the worldwide sector, the structure of the business segment and the global market project.

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Important Market Players:Adobe Systems, Microsoft, NetApp, and Ellucian; internet service providers such as Cisco Systems, WindStream, Sandvine, and Interoute; system integrators such as IBM Corporation, Oracle Corporation, N2N services, Workday, and Pearson; resellers such as BRLINK, Fractalyst.

Covid-19 Effect on Global Cloud Computing in Education Market

The global Cloud Computing in Education market report offers a broad view of the current situation and takes a look at the effect of the COVID-19 pandemic on the global economy. The study provides an evaluation of the anticipated demand scenario and uncertainty over the forecast period because of the rapid spread of the corona virus around the world. The COVID-19 crisis also affects growth, opportunities, and target variables in the dynamics of the target market.

Understanding Segmentation: Global Cloud Computing in Education Market

An in-depth analysis of key market patterns, opportunities, growth drivers, and constraints is presented in the research report on the global Cloud Computing in Education market. Similarly, this research also includes the quantitative study of many segments with qualitative data in terms of market revenue analysis, market size, comprehensive market segmentation and also market value. The global market is essentially segmented into application areas, product form, end-user, and geography.

Market Segmentation:By Service Model (SaaS, PaaS, and IaaS), By Deployment Model (Private Cloud, Public Cloud, Hybrid Cloud, and Community Cloud), By User Type (K-12 and Higher Education).

Regional Analysis of Global Cloud Computing in Education market

This study is divided into many primary economies from a regional perspective. The report also offers a number of regional dynamics over the forecast timeframe in these regions, such as sales, share market revenues and Cloud Computing in Education growth rates. This report offers various major regions such as Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam), North America (United States, Canada and Mexico), Europe (Germany, UK, France, Italy, Russia and Turkey etc.), South America (Brazil etc.), and Middle East and Africa (GCC Countries and Egypt).

Competitive Landscape: Global Cloud Computing in Education Market

Information and data from the industrys leading players are generated by the global Cloud Computing in Education market competitive landscape segment. The study includes a detailed overview and key statistics of the providers pricing structure, production capacity and global market share for the periods 2016-2028. A detailed summary followed by accurate regional and global output and revenue statistics by players for the period referred to is also reflected. Other data included are the business summary, the main company, the companys overall sales and production capacity, the prices, the revenues generated on the world market, the date of entry into the world market, the product launch, recent growth, the introduction of new products, etc.

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ConclusionThe report provides a detailed analysis of the global markets usage and penetration rate in several major areas and regions. This helps key players to understand the main developments, causes, vertical player strategies, recent acquisitions, and government measures towards the acceptance of the Cloud Computing in Education product along with market-available data on commercial goods. In addition, the report provides descriptions of the key risks that will affect business growth. Furthermore, before capitalizing on or extending the company in the global industry to grow their business and recognize sales in the relevant verticals and to review, the report provides key stakeholders with detailed descriptions of key market opportunities.

About Us:We at QMI provide intelligence capabilities for market analysis to satisfy consumer requirements. We have studies from virtually all major publishers and periodically update our list extensively to give you quick online access to the worlds most up-to-date set of technical data for enterprises, global markets, products, and developments.

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Cloud Computing in Education Market by Manufacturers, Regions, Type and Application, Forecast To 2028 NY Market Reports - NY Market Reports

How the hybrid cloud is key to enterprise AI infrastructure strategies – Cloud Tech

The wheel, steam engine and the internet created revolutionary jumps in the way people work and play. Today, artificial intelligence is reshaping science, business and personal interactions with equal magnitude. In every industry, including agriculture, healthcare, customer service, finance, manufacturing, retail and more, companies are quickly adopting AI to ensure theyre not left behind during this tectonic shift.

AI workloads have unique requirements, including strategic planning to ensure data scientists and researchers work efficiently on delivering successful projects. For IT teams just starting out, its helpful to know that while AI workloads require accelerated infrastructure and software, many of the solutions IT is most familiar with are already AI-ready for integration into an innovative strategy for creating an AI Centre of Excellence.

Few resources are as readily available and easy to use as the cloud, and this easy access to infrastructure extends to AI workloads. With GPU-accelerated instances available from every cloud service provider, these resources are ideal for prototyping AI projects. They provide the scale needed when training new models. The cloud also can serve enterprises well as infrastructure for AI inference workloads, where AI models are deployed for things like computer vision, conversational AI, speech, language and translation, and recommendation systems.

The challenge here is that data governance and cloud costs can complicate AI adoption. Training models generally require processing large datasets, and as AI projects grow, hosting all the data on the cloud can result in unexpected costs. Additionally, when AI is deployed in applications, many apps require real-time responsiveness for automation or user experience, which can become a challenge when data makes a round trip from the cloud.

To overcome these hurdles, enterprises are building AI Centres of Excellence with on-prem systems for AI that connect with cloud-based AI computing for prototyping and scale. This involves planning for data gravity and putting computing closer to the source of data to ensure costs are balanced and resources are at the ready. It also helps enterprises start with small projects in the cloud that grow into the hybrid ecosystem when its time to deploy. All major cloud service providers offer hybrid accelerated computing solutions, making it easier to harness both on-prem and cloud-based compute resources as needed.

With this hybrid approach, enterprise data scientists always have the resources they need to stay as productive as possible whether theyre creating new models, training AI, or evaluating a deployed model to ensure its still accurate.

Its also important to consider the big picture when looking at the cost of accelerated computing in the hybrid cloud. On paper, high-performance instances may at first look costly, but they end up delivering significant cost savings. They enable large datasets to be processed much more quickly, which results in lower total costs. Most importantly, these instances provide faster time-to-market for products and services. In addition, software technology can help right-size accelerated computing resources to maximise efficiency on diverse AI training and inference workloads.

For AI use cases like conversational AI services, accelerated computing platforms train large, sophisticated networks in hours instead of weeks. When deployed as AI-powered services, these networks deliver immediate, natural-sounding replies to complex questions.

Central to every AI project is a software architecture built to deliver on enterprise AI objectives. Workloads for conversational AI, recommender systems, robotics automation and computer vision all depend on specialised software designed for these unique applications.

These software requirements can present the biggest challenges for AI teams getting started on new projects. To help companies hit the ground running on their AI Centres of Excellence, NVIDIA offers free software resources for developers and data scientists. The NVIDIA AI platform also offers a single architecture to develop and optimise the applications while offering the flexibility to run them anywhere.

For businesses, one size rarely fits all. The same is true for AI workloads. With a hybrid cloud strategy to augment an enterprise AI Centre of Excellence, IT teams can deliver AI acceleration thats both on demand and within budgets. By keeping AI software in mind and developing a strategy to keep pace with software innovation, enterprises will be ready to scale easily from the data centre, to the cloud, to the edge.

Interested in hearing industry leaders discuss subjects like this and sharing their experiences and use-cases? The Data Centre Congress, 4th March 2021 is a free virtual event exploring the world of data centres. Learn more here and book your free ticket:

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How the hybrid cloud is key to enterprise AI infrastructure strategies - Cloud Tech

The Global Cloud Computing in Healthcare Market is Expected to Register Substantial Growth in the Near Future – Yahoo Finance

DALLAS, TX / ACCESSWIRE / February 18, 2021 /According to new report added in Report Banana offerings, there are significant money making opportunities available in the global cloud computing in healthcare market. Companies planning to enter ... Report Banana

DALLAS, TX / ACCESSWIRE / February 18, 2021 /According to new report added in Report Banana offerings, there are significant money making opportunities available in the global cloud computing in healthcare market. Companies planning to enter this market need to prepare and differentiate to maximize their return on investment.

Cloud Computing in Healthcare market is segmented by type, and by application. Players, stakeholders, and other participants in the global Cloud Computing in Healthcare market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by type and by application in terms of revenue and forecast for the period 2015-2026.

Prominent players profiled in this report include Microsoft, International Business Machines (IBM), Dell, ORACLE, Carestream Health, Merge Healthcare, GE Healthcare, Athenahealth, Agfa-Gevaert, CareCloud, etc.

Significant Aspects of the Report and Main Highlights:

Changing business trends in the global cloud computing in healthcare market

Market segment analysis at different level such as type, product, region

Historical and forecast size of the global cloud computing in healthcare market in terms of revenue

Major drivers and opportunities pertaining to the global cloud computing in healthcare market

Competitive landscape and player positioning analysis for the market

Key product offerings by major players and business strategies adopted

Key challenges faced by operating players in the market space

Analysis of major risks associated with the market operations

The report helps stakeholders understand the pulse of the market and provides them with information on key drivers, restraints, challenges, and opportunities for market growth. It would also help to understand the competitors better and gain more insights to improve their position in the business.

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Report Banana provides syndicated as well as customized market research reports from various market research companies around the globe. Our product offerings register presence in most of the verticals such as aerospace, automotive, chemical, construction, consumer, E&E, medical, and service industries. For further information, visit

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The Global Cloud Computing in Healthcare Market is Expected to Register Substantial Growth in the Near Future - Yahoo Finance

Global Healthcare Cloud Computing Market 2021 Report Explores Key Regions, Company Profile, Opportunity and Challenge to 2025 KSU | The Sentinel…

The latest study titled Global Healthcare Cloud Computing Market 2020 by Company, Regions, Type and Application, Forecast to 2025 published and collated by features an analysis of the present-day and historical scenario of the global market. The report specifies all aspects of the global industry, covering current as well as upcoming technical and financial details of the market. The report elaborates information on the important market trends, challenges, and growth factors pertaining to the global Healthcare Cloud Computing market. The research also offers insightful information as to how the global market would develop and expand over the projection tenure, from 2020 to 2025. It comprises significant information related to different product definitions, market classifications, geographical presence, and players in the industry chain structure.

NOTE: Our analysts monitoring the situation across the globe explains that the market will generate remunerative prospects for producers post COVID-19 crisis. The report aims to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.

Important Market Dynamics Discussed In The Report:

Additional indicators like key market drivers, growth trends, growth areas, probable opportunities of the market, market estimates, and forecasts at the regional and country-level as been included in the report. The research document studies prominent manufacturers of the market and discusses factors such as organization profiles, production, cost, sales, product specification, potential, and other essentials. The study spots light on dynamics about various aspects of the global Healthcare Cloud Computing market, which assists various companies found in the market in strategizing business plans and decisions. Growth prospects of the global market are highlighted in the report. In addition, an estimation of statistics pertaining to the said market in terms of value and volume is given.


Some prominent players in the global market comprise the following: MicroSoft, Agfa-Gevaert, Amazon Web Services, IBM, Alibaba Cloud, Oracle, Dell, Carestream Health, GE healthcare, Google Cloud Platform, Athenahealth

Based on the type of product, the global market segmented into: Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS)

Based on the end-use, the global market classified into: Hospital, Clinics, Others

Based on geography, the global market segmented into: North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, etc.), Middle East & Africa (Saudi Arabia, Egypt, Nigeria and South Africa)

A detailed description of future capacities, key mergers & acquisitions, financial overview, partnerships, collaborations, new product launches, new product developments, and other latest industrial developments has been included in the report. The report encompasses the global Healthcare Cloud Computing market analysis scenario, pricing analysis, revenue, growth stimulators, and most importantly the statistical figures to assist in getting a clear picture of the market status on both the regional and global platforms.


Research Objectives:

Customization of the Report:

This report can be customized to meet the clients requirements. Please connect with our sales team (, who will ensure that you get a report that suits your needs. You can also get in touch with our executives on +1-201-465-4211 to share your research requirements.

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Making the Right Cloud Security Investments – Security Boulevard

With more remote workers, there is a greater need for cloud computing services. With more cloud computing, there is a greater need for cloud security. An Exabeam study found that companies are moving their security tools to the cloud, but that raises the question: Are they right tools for cloud security? Or are companies under-investing in their cloud security systems?

Many organizations waste billions of dollars on cybersecurity each year. This is due to a combined lack of strategic planning from leadership and an ongoing shortage of security talent, said Matthew Rogers, CISO at Syntax, in an email interview. However, investing in security products without knowledge of how to utilize them provides very little value and results in wasted budgets.

You cant secure what you dont know about. Your cloud environment will have different security challenges than your on-premises network. Because of the move to remote work, the attack surface has expanded significantly, Rogers pointed out, and an increased reliance on mobile and IoT devices has also increased the number of entrance points for cybercriminals.

Moving a high-risk internal asset that previously had only been exposed to a few hundred devices to the cloud now exposes it to billions of devices, greatly magnifying the companys security risk, said Rogers.

Beyond the larger attack surface, Vishal Jain, co-founder and CTO at Valtix, said there are three areas of urgent concern:

While many organizations are actively looking to consolidate their security tools, they still need to pick solutions that operate with cloud awareness.

The trend on the operational side is towards service-based tools like cloud security posture management (CSPM) for compliance, and network security-as-a-service (SaaS) for runtime protections, explained Jain in an email interview. He said these security services are winning out over legacy firewalls since they match cloud-native design patterns with API-based integrations into modern services like Datadog for monitoring, Twilio for messaging/alerts and Slack for DevOps integration. They also provide relevant cloud-specific information to SOC and incident response (IR) teams.

Also, he added, security orchestration and automated response (SOAR) tools are getting better with plugin integrations, but these cant be effective if the traditional policy enforcement tools are not providing relevant contextual data. Yet, there are still a lot of people who think that the best way to approach security problems is to throw money at it getting the most expensive or comprehensive security solutions, without ever looking to see if it is the right security tool for them and their cloud operation.

IT leaders investing in cloud security systems need a plan for execution in place to see any return from the investment, said Rogers. Organizations must train their employees on remaining secure, especially while working remotely, as this lack of understanding of the technology only further wastes the companys investment in security.

Because there are so many complex tools and such a broad lack of understanding, organizations often fail to implement their cloud security plans successfully. Rogers advised organizations take these steps to ensure optimal cloud security while still efficiently allocating their budget:

Companies are in a massive cloud-driven shift thats changing everything from app development to deployment and operations. IT and security teams must have the right solutions to meet their needs but that also are the right investment to protect their assets in the cloud.

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Making the Right Cloud Security Investments - Security Boulevard