Category Archives: Cloud Computing

Global Healthcare BPO Market Trajectory & Analytics Report 2022: Inherent Advantages of Cloud Computing Make "The Cloud" a Game Changer…

DUBLIN--(BUSINESS WIRE)--The "Healthcare BPO - Global Market Trajectory & Analytics" report has been added to ResearchAndMarkets.com's offering.

Global Healthcare BPO Market to Reach $441.8 Billion by 2026

Amid the COVID-19 crisis, the global market for Healthcare BPO estimated at US$311.7 Billion in the year 2022, is projected to reach a revised size of US$441.8 Billion by 2026, registering a compounded annual growth rate (CAGR) of 9.3% over the analysis period.

While traditional services offered by BPOs comprised call centers, member processing, and claims adjudication, new-age BPO providers are re-evolving the service offerings and are creating completely integrated service models that are fully branded by the underwriting insurance company. Some of the innovative offerings of the BPO today include alternate payment services, claims modernization, novel plan design strategy, and analytics.

The United States represents the largest regional market for Healthcare BPO and is projected to reach US$167.7 Billion by 2026. China is expected to spearhead growth and emerge as the fastest growing regional market with a CAGR of 10.6% over the analysis period. The market globally is anticipated to post a significant growth over the short-term owing to the mounting pressure to cut healthcare delivery costs and consolidation of incorporated healthcare systems. The market growth is expected to be propelled by implementation of stringent regulations along with PPACA and clinical trial protocols.

Fueled by these factors, the healthcare BPO market is forecast to reflect an impressive growth rate over the short term. Moreover, patent cliffs faced by various pharmaceutical companies and mandatory enactment of ICD-10 codes within the US are expected to further provide the required impetus to the market.

On the other hand, concerns regarding service quality coupled with apprehensions about losing control over outsourcing are likely to remain key inhibitors in the coming years. The rise in number of individuals getting insured is further driving healthcare organizations to outsource certain services to address the demand for effective healthcare management.

The consolidation of healthcare providers and growing pressure to minimize healthcare costs is further driving the demand for healthcare outsourcing services.

What`s New for 2022?

Key Topics Covered:

I. METHODOLOGY

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEW

2. FOCUS ON SELECT PLAYERS (Total 61 Featured)

3. MARKET TRENDS & DRIVERS

4. GLOBAL MARKET PERSPECTIVE

III. REGIONAL MARKET ANALYSIS

IV. COMPETITION

For more information about this report visit https://www.researchandmarkets.com/r/pqk9i4

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Global Healthcare BPO Market Trajectory & Analytics Report 2022: Inherent Advantages of Cloud Computing Make "The Cloud" a Game Changer...

Cloud computing explained : PwC

Still with us? Dig into the details below:

Public cloud describes IaaS services like Alibaba Elastic Compute, Amazon AWS EC2, Digital Ocean Droplets, Microsoft Azure Virtual Machines and Google Compute Engine, to name a few. The providers all have multiple customers and deliver their services over the internet. Public cloud customers share the compute, storage and networking hardware with their cloud providers other customers. Its similar to the way web hosting works: Public cloud is like shared web hosting and private cloud correlates to dedicated web hosting. (In cloud, both types are managed.)

Private cloud is the cloud terminology for scenarios in which the hardware and software resources underlying the cloud services are used exclusively by one business or organization. In private cloud, the hardware may be on-premises or off-site. It may be generated by the enterprise itself or provided physically or offered over the internet by a cloud service provider. The key point is that the hardware and software required to generate a private cloud are dedicated to or owned by one business and not shared by other businesses. This provides an added level of security that may be required for sensitive data.

Hybrid cloud environments are those in which an organization uses two or more cloud types public, private or community clouds in a coordinated way, usually on a common goal. (A community cloud is a cloud resource shared by two or more organizations working together on the same concern, such as related governmental departments and agencies, industry standards working groups and joint corporate/academic efforts.) One of the chief benefits of hybrid cloud is a good deal more flexibility and agility to get things done efficiently and quickly.

Multi-cloud means nothing more than using two or more cloud services from different cloud service providers. Why would you do this as opposed to sticking with one main provider? After all, it adds complexity, including a more challenging security environment. But there are good reasons why some enterprises intentionally use two or more IaaS vendors. Not placing all your eggs in one basket makes some sense, but there are better benefits to multi-cloud.

Cloud computing providers offer unique services, capabilities and pricing that you might want to leverage, possibly for different segments of your business.Using two or more cloud providers is one way to combat vendor lock-in, too. Finally, multi-cloud is about having the flexibility to move an application to a different cloud or run it across multiple clouds to get a job done faster. The advantage is similar to the benefits of hybrid cloud, but not every organization needs to incorporate a private cloud.

At the same time, there are benefits to sticking with a single cloud service provider. For some companies, going wide and deep with one vendor may give you opportunities you wouldnt get otherwise. Bottom line?Each companys cloud migration strategy will be unique and highly dependent on their business goals, current and future tech roadmap, and industry, among other factors.

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Cloud computing explained : PwC

Cloud Computing – GeeksforGeeks

In Simplest terms, cloud computing means storing and accessing the data and programs on remote servers that are hosted on internet instead of computers hard drive or local server. Cloud computing is also referred as Internet based computing.Cloud Computing Architecture:Cloud computing architecture refers to the components and sub components required for cloud computing. These component typically refer to:

Hosting a cloud:There are three layers in cloud computing.Companies use these layers based on the service they provide.

Three layers of Cloud Computing

At the bottom is the foundation, the Infrastructure where the people start and begin to build. This is the layer where the cloud hosting lives.

Now, lets have a look at hosting :Lets say you have a company and a website and the website has a lot of communications that are exchanged between members. You start with a few members talking with each other and then gradually the numbers of members increases.

As the time passes, as the number of members increases, there would be more traffic on the network and your server will get slow down. This would cause a problem.A few years ago, the websites are put in the server somewhere, in this way you have to run around or buy and set number of servers. It costs a lot of money and takes lot of time. You pay for these servers when you are using and as well as when you are not using.This is called hosting.

This problem is overcome by cloud hosting. With Cloud Computing, you have access to computing power when you needed. Now, your website is put in the cloud server as you put it on dedicated server.People start visiting your website and if you suddenly need more computing power, you would scale up according to the need.

Benefits of Cloud Hosting :

References:https://en.wikipedia.org/wiki/Cloud_computing

This article is contributed by Brahmani Sai. If you like GeeksforGeeks and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.

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Cloud Computing - GeeksforGeeks

Global MFTPaaS Market to Garner a CAGR of ~16% during 2022-2031; Growing Adoption of Cloud-Computing Technology and Need for Secure Data Transfer…

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Key Companies Covered in the Global MFTPaaS Market Research Report by Research Nester are International Business Machines Corporation, Teradata Corporation, Oracle Corporation, Axway Software, Citrix Systems, Kiteworks Inc., Wipro Limited, Saison Information Systems Co. Ltd., TIBCO Software Inc., Hewlett Packard Enterprise, and other key market players.

New York, Aug. 04, 2022 (GLOBE NEWSWIRE) -- As per recent studies, the overall size of smartphone users in 2022 is expected to topple approximately 6.750 billion worldwide; which is roughly 84.47 percent of the world's population. In total, around 7.30 billion people worldwide, i.e., 92.22 percent of the world's population own smart and feature phones. Additionally, the launch of smartphone applications is accelerating across the globe, which resulted in the release of over 91,000 apps in June 2022, and around 135,0000 new android apps in May 2019.

Research Nester has published a detailed market report on Global MFTPaaS Market for the forecast period, i.e., 2022 2031 which includes the ongoing industry innovations and recent trends being adopted by the major industry players to achieve their business targets. Apart from that, the inclusive data on market size, growth rate, market revenue share, growth opportunities and challenges for the market players along with worldwide analysis on five major regions North America, Latin America, Europe, Asia Pacific and Middle East & Africa has been provided in the report.

In the year 2021, roughly 4.11 people, which translates to over 65% of the global population, are expected to be online. Since 2019, the total number of internet users toppled above 18% which amounts to about 900 million individuals. The global MFTPaaS market is estimated to grow at a CAGR of ~16% during the forecast period. The growth of the market can be attributed to the increasing usage of internet and internet-based services and applications. MFTPaaS or managed file transfer platform-as-a-service offers a secure and managed end-to-end data transfer gateway. The market is estimated to expand as a result of both the increasing need for secure data transfer over the internet and the expanding usage of cloud computing technology. The expanding use of cloud computing and multi-cloud functionality is also anticipated to promote market expansion during the forecast period. For instance, in 2021, revenue from cloud computing exceeded USD 390 billion. MFTPaaS is synonymous with advances in cloud infrastructure to expedite file transfer and offset the challenges posed by legacy file transfer methods, thereby helping cloud economy improve with reduced maintenance and infrastructure costs.

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Further, the development of the ICT sector has significantly boosted GDP growth, worker productivity, and other aspects of economies around the world. The production of goods and services by the ICT industry also promotes economic growth and development. The World Data Bank reports that between 2014 and 2020, the global exports of ICT products climbed from 11.4 percent to 14.3 percent of total exports of goods. Hence, the rising technological advancement and growing ICT sectors are estimated to propel the global MFTPaaS market growth outlook over the forecast period. Moreover, the rising investment in the research and development sector across the globe is anticipated to boost the market growth over the ensuing years. Research studies claim that since 2000, the amount spent globally on research & development has increased by more than three times in real terms, from roughly USD 680 billion to almost USD 2.4 trillion in 2019.

On the basis of geographical analysis, the global MFTPaaS market is segmented into five major regions including North America, Europe, Asia Pacific, Latin America, and Middle East & Africa region. Out of these, the market in Asia Pacific region is estimated to hold a significant share and grow at the highest CAGR during the forecast period. The growth of the market can be attributed to the increasing adoption of technology, including cloud computing and the internet of things (IoT), in developing nations. Additionally, it is anticipated that rising investments in technological advancement, especially cloud services, in nations mainly, China and India are anticipated to accelerate market expansion over the forthcoming years. For instance, along with the USA, China is responsible for over 72% of all blockchain-related patents, more than 49% of global IoT investment, and higher than 80% of the global market for public cloud computing services.

For more information in the analysis of this report, visit: https://www.researchnester.com/reports/mftpaas-market/3957

Moreover, the market in North America is estimated to gain the largest market share throughout the forecast period. In light of the increasing use of cutting-edge technologies and growing Bring Your Own Phone (BYOP) trend in workplaces in nations including Canada and the United States, the North American market is predicted to obtain the highest market share over the forecast period. It was observed that with more than 300 million smartphone users in the US as of 2021, this country has one of the largest smartphone markets in the world. Additionally, the presence of significant market competitors in the area and the accessibility of cutting-edge technology are predicted to drive market expansion during the forecast period.

The study further incorporates Y-O-Y growth, demand & supply and forecast future opportunity in North America (U.S., Canada), Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC [Finland, Sweden, Norway, Denmark], Poland, Turkey, Russia, Rest of Europe), Latin America (Brazil, Mexico, Argentina, Rest of Latin America), Asia-Pacific (China, India, Japan, South Korea, Indonesia, Singapore, Malaysia, Australia, New Zealand, Rest of Asia-Pacific), Middle East and Africa (Israel, GCC [Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman], North Africa, South Africa, Rest of Middle East and Africa).

Get a Sample PDF of MFTPaaS Market Report@ https://www.researchnester.com/sample-request-3957

The global MFTPaaS market is segmented by installation into on-premise and cloud-based. Out of these, the cloud-based segment is estimated to hold the largest market share over the forecast period owing to the increasing usage of cloud computing and the reliance of many end-user sectors on cloud-based databases. Additionally, a lot of big businesses use cloud computing technologies to access and transfer huge amounts of data, which is predicted to accelerate market growth during the forecast period. Moreover, to increase their customer base in the worldwide market, major key players have adopted a variety of organic and inorganic techniques. They invest millions of dollars in product development and research to meet the demands of the MFTPaaS industry, which is predicted to boost the segment growth over the forecast period. For instance, the collaboration between Infosys and IBM to speed up digital transformation for businesses using IBM public cloud in March 2020, enabled organizations to adapt to changing business needs.

Further, the global MFTPaaS market is segmented by the end-user into BFSI, retail, manufacturing, energy & utility, IT & telecommunication, and others. Among these, the BFSI (banking, financial services, and insurance) segment is anticipated to experience significant expansion throughout the projected period as a result of the industry's extensive use of sensitive data, rising demand for the data's secure transport, and growing BFSI sector across the globe. As per the estimation India Investment Grid, the BFSI industry in India is estimated to be worth approximately USD 1 trillion and is expected to grow to become the third-largest by 2025.

For more insights on the market share of various regions: https://www.researchnester.com/sample-request-3957

The global MFTPaaS market is also segmented on the basis of type.

Global MFTPaaS Market, Segmentation by Type

Some of the prominent key players and their company profiling mentioned in the global MFTPaaS market research report include International Business Machines Corporation, Teradata Corporation, Oracle Corporation, Axway Software, Citrix Systems, Kiteworks Inc., Wipro Limited, Saison Information Systems Co. Ltd., TIBCO Software Inc., Hewlett Packard Enterprise, and other key market players. The profiling enfolds growth opportunities, challenges, and market trends prevalent for the growth of the market during the forecast period.

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Global MFTPaaS Market to Garner a CAGR of ~16% during 2022-2031; Growing Adoption of Cloud-Computing Technology and Need for Secure Data Transfer...

Here’s how cloud computing enables the transformation of the MedTech sector – ETCIO

The COVID-19 pandemic exposed and heightened Indias existing healthcare burden, triggering the need for action to build a more resilient health system. This necessitated an evolution of the healthcare model to contend with the challenges at hand, including a growing doctor-patient gap and lack of infrastructure limiting healthcare accessibility in remote regions of the country. In response, health and human service providers have embraced the digital transformation of healthcare, leveraging technology and MedTech innovation to deliver effective and scalable solutions with ease nationwide. In fact, data by EY suggested that 51% of surveyed health and human services organizations across public and private spheres in India increased their use of digital technologies during the pandemic.

To expedite Indias MedTech sectors growth trajectory and strengthen digital infrastructure for quality healthcare delivery, leveraging data effectively is paramount. How do we effectively store valuable health information, analyze it in the context of broader patient history, and deploy these insights to improve patient outcomes? One solution is an emerging and potentially disruptive technology - cloud computing, which has transformed the healthcare landscape by spurring connectivity, greater speed, data storage, security, and scalability.

Scaling Precise Insight-led Healthcare with Cloud Computing

Healthcare remains a dynamic field, and the role of cloud can be pivotal to processing large amounts of healthcare data in a timely manner to generate vital patient insights. This enables clinicians to have easy access to data, including patient history and best practice case studies, for research and clinical application at their fingertips. This leads to more informed decision-making, spurring faster diagnosis and more precise healthcare. For instance, insights leveraged from data, such as with AI tools, can guide personalized treatments, which are especially relevant for therapy areas like oncology, as every persons cancer and care trajectory is unique.

Simplified data sharing is key to fostering collaboration and meaningful doctor-patient interactions in the healthcare sector. Cloud adoption facilitates this and enables the transfer of simplified data from wearable technologies, such as glucose monitoring devices, from the patients device to the doctor, which can be analyzed to generate actionable insights.

There is an evident need for the quick transfer of simplified data through such cloud platforms to advance digital healthcare, such as by supporting remote diagnosis or virtual assistance in complex procedures. For instance, practitioners can easily collaborate through video streaming from Cath labs and operating theaters in real time, which supports quality care delivery. This can also be a boon to imaging, with more experienced technologists able to access scans remotely and guide local practitioners on treatment pathways for the patient.

Picking the Pace with Data-Driven Insights

Cloud computing also supports clinicians with providing faster, error-free and patient centric diagnoses. With its ability to facilitate high speed data transfers and elasticity in compute capability, such platforms are minimizing medical errors and the time taken to diagnose and deliver care. For instance, it previously took a typical computer up to six hours to process information from a CT scanner and provide a holistic image of ones brain, for a patient who arrived at a hospital with stroke symptoms. However, the golden hour or window for treatment is roughly four hours.

To reduce the time frame to getting imaging insights, the sector has shifted to adopting cloud technologies to support its medical devices. Such platforms are thus able to enable clinicians to turn data into impactful insights, and research into life-saving treatments.

Over time, cloud platforms are also being geared to provide additional services, including device protocol management and care pathway analytics, which can advance the role of AI in clinical care. These platforms are fundamental to increase everyday operational efficiency - by enhancing technological capabilities, reducing cost, time, and labor, thus easing the burden on health systems including hospital networks. This spurs intelligent processes, making systems more agile and responsive in moments of need. More so, better interoperability between systems could save healthcare ecosystems $30 billion per year. It also poses a scalable solution to effectively support care delivery in smaller clinics across remote or rural areas, as well as across multi-facility networks.

Cloud-connected systems elevate the delivery of high-quality care. To ensure best practices are maintained, this must be coupled with rigorous data compliance and security standards to ensure patient data security and privacy underscore the digital transformation of healthcare. Todays dynamic healthcare environment needs integrated, innovative solutions like cloud platforms now, more than ever.

The author is Girish Raghavan, Vice President - Engineering, GE Healthcare

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Here's how cloud computing enables the transformation of the MedTech sector - ETCIO

Why AI and machine learning are drifting away from the cloud – Protocol

For them, it was immediately obvious what the benefits were and how you only pay for the five microseconds that this code runs, and any idle is not being charged to you, Vogels said. And you don't have to worry about reliability and security and multi-[availability zone] and all these things that then go out of the window. That was really an eye-opener for me this idea that we sometimes have in our head that sort of the young businesses are more technologically advanced and moving faster. Clearly in the area of serverless, that was not the case.

AWS Lambda launched into general availability in 2015, and more than a million customers are using it today, according to AWS.

Vogels gave Protocol a rundown on AWS Lambda and serverless computing, which allows customers to build and run applications and services without provisioning or managing servers. He also talked about Amazon CodeWhisperer, AWS new machine learning-powered coding tool, launched in preview in June; how artificial intelligence and ML are changing developers lives; and his thoughts on AWS providing customers with primitives versus higher-level managed services.

This interview has been edited and condensed for clarity.

So what's the state of the state on AWS Lambda and how it's helping customers, and are there any new features that we can expect?

You'll see a whole range of different migrations happening. We've had folks from Capital One that migrated old mainframe codes to Lambda. [IRobot, which Amazon announced plans to acquire on Friday], the folks that make Roomba, the automatic [vacuum] cleaner, have their complete back end running as serverless because, for example, that's a service that their customers don't pay for, and as such, they really wanted to minimize their costs yet provide a good service. There's a whole range of different projects happening and whether that is pre-processing images at some telescope deep in Chile, all the way up to monitoring Snowcones running in the International Space Station, where they were in Lambda on that device as well and actually can do processing of imagery and things like that. It's become quite pervasive in that sense.

Now, the one thing is, of course, if you have existing code, and you want to move over to the cloud moving over to a virtual machine is easy it's all in the same environment that you had on-premises. If you want to decompose the application that you had, don't want to do too many code changes, probably containers are a better target for that.

But for quite a few of our customers that really want to start from scratch, but sort of really innovate and really think about [what] event-driven architectures look like, serverless becomes quickly the sudden default target for them. Mostly also because it's not only that we see significant reduction in cost for our customers, but also a significant reduction in their carbon footprints, because we're able to do much better packing on energy than customers would be able to do by themselves. We now also run serverless on our Graviton processors, so you'll see easily a 40% reduction in cost in energy usage.

For me, serverless means that our customers don't have to think about security, reliability, managing performance, managing scale, doing failover all those kinds of things and really controlling costs.

But always I'm a bit ambivalent about the word serverless, mostly because many people associate that with when we launched Lambda. But in essence, the first service that we launched, S3, also is really serverless. For me, serverless means that our customers don't have to think about security, reliability, managing performance, managing scale, doing failover all those kinds of things and really controlling costs. And so, in essence, almost all services at AWS are serverless by nature. If you think about DynamoDB [a serverless NoSQL database], or if you think about Neptune [a graph database service] or any of the other services that we have, most of them are serverless because you don't have to think about sort of provisioning them, managing them. That's all done for you.

Can you talk about the value of CodeWhisperer and what you think is the next big thing for or the future of low-code/no-code?

For me, CodeWhisperer is more an assistant to a developer. There's a number of application areas where I think machine learning really shines and it is sort of augmenting professionals by helping them, taking away mundane tasks. And we already did that, of course, in AWS. If you think about development, there's CodeGuru and DevOps Guru, which are both already machine-learning services to help customers with, on one hand, operations, and the other one sort of doing the early security checks during the development process.

CodeWhisperer even takes that a step further, where if you look how our developers develop, there's quite a few mundane tasks where you will go search on the web for a piece of code how do we do [single sign-on] login into X, Y or Z? Most people will just cut and paste or do a little translation. If that was in Python and you need to actually write it in TypeScript, we may do a translation on that.

There's a lot of work, actually, that developers do in that particular area. So we thought that we could really help our customers there by using machine learning to look at the complete base of, on one hand, the AWS code, the Amazon code and all the open-source code that is out there, and then do a qualitative test on that, and then include it into this body of work where we can easily help customers by just writing some plain text, and then saying, I want a [single sign-on] log-on here, and then the code automatically appears. And with that, we can do checks for security, we can do checks for bias. There's lots of other things that are now possible because we're basically assisting the developer in being more efficient and actually writing the code that they really want to write.

When we launched Lambda, I said the only code that will be written in the future is business logic. Well, it turns out we're still not completely there, but tools like CodeWhisperer definitely help us to get on that path because you can focus on what's the unique code that you need to write for the application that you have, instead of the same code that everybody else needs to write.

People really like it. It's also something that we continuously improve. This is not a standing-still product. As we look at more code, as we get more feedback, the service improves.

If I think about software developers, it's one of the few jobs in the world where you can be truly creative and can go to work and create something new every morning. However, there's quite a bit of heavy lifting still around that [that] sort of has nothing to do with your creativity or your ability to solve problems. With CodeWhisperer, we really tried to take the heavy lifting away so that people can focus on the creativity part of the development job, and I think anything we can do there, developers like.

In your tech predictions for 2022, you said this is the year when artificial intelligence and machine learning take on the undifferentiated heavy lifting in the lives of developers. Can you just expand on that, and how AWS is helping that?

When you think about CodeWhisperer and CodeGuru and DevOps Guru or Copilot from GitHub this is just the beginning of seeing the application area of machine learning to augment humans. Whether there is a radiologist somewhere that is late at night looking at imagery and gets help from machine learning to compare these images or whether it's a developer, we're really at the cusp of how machine learning will accelerate the way that we can build digital systems.

I was in Germany not that long ago, and there the government told me that they have 80,000 open IT positions. With all the scarceness in the world of labor, anything which we can do to make the life of developers easier so that they're more productive, that it makes it easier for people that do not have a four-year computer science degree to actually get started in the IT world, anything we can do there will benefit all the enterprises in the world.

What's another developer problem that you're trying to solve, or what are developers asking AWS for?

If you're an organization like AWS or Amazon or quite a few other organizations around the world, you make use of the DevOps principle, where basically your developers also have operational tasks. If you do operations, there's information that is coming from 10 or 20 different sides. There's log files, there's metrics, there's dashboards and actually tying that information together and analyzing the massive amounts of log files that are being produced by systems in real time, surfacing that to the operators, showing that there may be potential problems here and then give context around it because normally these log files are pretty cryptic. So what we do with DevOps Guru, for example, is provide context around it such that the operators can immediately start taking action, looking for what [the] root cause of particular problems are. So we're looking at all of the different aspects of development and operations to see what are the kind of things that we can build to help customers there.

At AWS re:Invent last year, you put up a slide that read primitives, not frameworks, and you said AWS gives customers primitives or simple machines, not frameworks. Meanwhile, Google Cloud and Microsoft are offering these sort of larger, chunkier blocks such as managed services where customers don't have to do the heavy lifting, and AWS also seems to be selling more of them as well.

Let me clarify that. It mostly has to do also with sort of the speed of innovation of AWS.

Last year, we launched more than 3,000 features and services. And so why are we still looking at these fine-ingrained building blocks? Let me go back to the beginning of AWS when we started then, how software companies at that moment were providing infrastructure or platforms was basically that they would give developers everything [but] the kitchen sink on Day One. And they would tell you, "This is how you shall develop software on this platform." Given that these platforms took quite a while to develop, basically what you operate is a platform that is already five years old, that is looking at five years back.

Werner Vogels gives his keynote at AWS re:Invent 2021. Photo: Amazon Web Services, Inc.

We knew that if cloud would really be effective, development would change radically. Development would indeed be able to scale quicker and make use of multiple availability zones and many different types of databases and things like that. So we needed to make sure that we were not building things from the past, but that we were building for how our customers would want to build in 2025. To do that, you don't give them everything and tell them what to do. You give them small building blocks, and that's what I mean by primitives. And all these small building blocks together make a very rich ecosystem for developers to choose from.

Now, quite a few, especially the more tech-savvy companies, are more than happy to put these building blocks together themselves. For example, if you want to build a data lake, we have to use Glue [a serverless data integration service], we have to use S3, maybe some Redshift, Kinesis for ingestion, Athena for ad hoc analytics. I think there's quite a few customers that are building these things by themselves.

But then there's a whole category of customers that just want a data lake. They don't want to think about Glue and S3 and Kinesis, so we give them a service or solution called Lake Formation. That automatically grabs all these things together and gives them this higher-level component.

Now the fact that we are delivering these higher-level solutions, for example, some customers just want a backup solution, and they don't want to think about how to move things into S3 and then do some intelligent tiering [so] that if this data isn't accessed in two weeks, then it is being moved into cold storage. They don't want to think about that. They just want a backup solution. And so for that, we provide them some backup. So we do have these higher-level services. It's more managed-style services for you, but they're all still based on the primitives that sit underneath there. So whether you want to start with Lake Formation and later on maybe start tweaking things under the covers, that's still possible for you. While we are providing these higher-level components, where customers need to have less worry about which components can fit together, we still provide the underlying components to the developers as well.

Is quantum computing something that enterprise CTOs should be keeping their eye on? Do you expect there to be an enterprise use for it, or will it be a domain just for researchers, or is it just too far out to surmise?

There is a back-and-forth there. If I look at some of the newer developments, it's clearly research oriented. The reason for us to provide Braket, which is our quantum compute service, is that customers generally start experimenting with the different types of hardware that are out there. And there's typical usage there. It's life sciences, it's oil and gas. All of these companies are already investigating whether they could see significant speed-ups if they would transform their algorithms into things that could run on a quantum machine.

Now, there's a major difference between, let's say, traditional development and quantum development. The tools, the compilers, the software principles, the books, the documentation for traditional development that's huge, you need great support.

In quantum, I think what we'll see in the coming four or five years, as I listen to the Amazon researchers working on this, [is that] much of the work will not only go into hardware, but also how to provide better software support around it, such that development for these types of machines becomes easier or even goes at the same level as traditional machines. But one of the things that I think is very, very clear is that we're not going to be able to solve new problems necessarily with quantum computing; we're just going to be able to solve old problems much, much faster. That's why the life sciences companies and health care and companies that are very interested in the high-performance compute are experimenting with quantum because that could accelerate their algorithms, maybe by orders of magnitude. But, we still have to see the results of that. So I'm keeping a very close eye on it, because I think there may be very interesting workloads and application areas in the future.

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Why AI and machine learning are drifting away from the cloud - Protocol

Top cloud automation testing tools for 2022 – TechRepublic

Image: ArtemisDiana/Adobe Stock

With the advantages cloud storage offers over on-premise or traditional storage, we will continue to witness more migration of organizational resources to the cloud. As this trend continues unabated, there is a growing need for cloud automation testing across businesses that have migrated or are about to migrate their resources to the cloud. More cloud testing tools are hitting the software market, ensuring that organizations overcome issues that may affect the quality of their cloud-based applications. This article will take you through the top cloud testing tools you can adopt for your cloud-based applications in 2022.

Jump to:

A cloud testing tool offers organizations a form of automated software assessment that utilizes cloud computing resources to test the performance of their software applications. It checks the overall performance of cloud resources to ensure that every element runs efficiently. Cloud testing tools also help organizations to evaluate cloud-based applications for functional and non-functional requirements.

SEE: Hiring Kit: Cloud Engineer (TechRepublic Premium)

Additionally, cloud testing tools are designed to produce a virtual replica of cloud-based resources to test for efficiency in elements such as latency, compatibility, security and overall infrastructure performance.

Testers can attest that the ownership cost of cloud-based testing tools is much lower than that of traditional testing resources. In cloud testing, testers can easily reuse the components used in the test environments. In other words, you do not need many hardware requirements to conduct cloud-based testing of your cloud resources. These tools also allow testing teams to utilize tools with no-licensing cost.

The use of cloud-based tools brings about the benefits of virtualization. To be more specific, businesses have the opportunity to utilize their resources in a way that maximizes effective testing. As applications become more complicated, virtualization becomes absolutely necessary.

Cloud testing enables users of cloud-based applications to have uninterrupted access to their applications even during testing. This unbroken access enables them to fulfill consumer needs promptly. Furthermore, early in the software development lifecycle, testers can spot errors.

Additionally, cloud-based environments enable testing teams to effectively have a wider test coverage in a short time because teams can log in to the testing platform wherever they are and begin testing when needed.

In case of hardware or storage malfunction, the backup recovery process for on-premise systems has never been easy due to the additional cost required for recovery, upgrades and maintenance. However, with the availability of cloud testing software tools, organizations can easily recover their valuable information or assets in just a few clicks. This is mainly because the information is also stored on many servers: If one gets bad, cloud engineers can easily switch to the other servers to bring back the information.

DevOps derives its relevance from automation, and cloud testing makes enough provision for it. In addition, cloud testing enhances DevOps teams in the following ways: Remote monitoring, easy deployment, reconfigurations and deployment of cloud applications, automation of test reporting, easy user access to feedback and more. Its safe to say that cloud testing helps reduce the bottlenecks in cloud monitoring, testing and resolution of issues with cloud resources.

Picking the best cloud-based automation testing tools for your DevOps teams can be daunting without knowing some key features to consider. Lets take a look at some features to consider before making a selection.

Ensure that the tool you pick can document, upload, edit and maintain user activities right inside the testing tool. This feature will help your team have comprehensive information on who changed what and why.

If youre ready to pick a cloud testing tool for your organization, check to be sure that the tool can automate testing across different devices. Your product users use your software products on different devices. Hence, your testing tool should be able to test for performance across different devices.

Check to find out if your preferred cloud tool can store results and information in a central repository. This is important as this central repository will function as the single source of truth to any information sought. Having a tool that stores information in a central repository also ensures that vital information is not duplicated into several versions using other storage devices.

Dig deep to find out what support services are available for any tool you wish to check. Some cloud-testing platforms offer better support than others. This factor is crucial as your team may run into issues in the middle of testing and may need to contact support for quicker resolution.

Here are the top cloud-based testing tools in 2022, curated based on popularity, reviews and available features.

CloudTest is a cloud-performance testing platform that can provide automated and intelligent real-time testing on cloud infrastructures. Akamai CloudTest can be a good choice for DevOps teams looking to use a test engine that can replicate real-life performance scenarios. Regardless of the test load, CloudTest can easily pick and record issues within your applications with speed.

With CloudTest, DevOps can access in-depth analytics machines that can test and analyze different simulated load sizes for an immediate result. Apart from having the capacity to test enterprise networks and cloud applications, the CloudTest analytic machines can also test APIs, websites backend performance, and databases.

Features:

CloudQA offers quality assurance as a service through automated web testing. The tool provides some excellent features for teams that prefer to create test cases through logical grouping. In addition, the tool offers a fast way to get started with site monitoring, load testing without needing any extensive setup or installation from the testing team. DevOps teams who prefer a codeless testing method can also count on CloudQA to provide such.

In other words, CloudQA also makes automated regression testing provisions, making it possible to save more resources and enhance scalability.

Features:

AppPerfect is a cloud-based tool mostly used by quality assurance teams and cloud developers for automated testing on web-based applications. This tool offers features that make it easy to ensure quality functional compliance in cloud infrastructures of any size. This testing tool also supports testing across multiple operating systems and frameworks.

Features:

Cloudsleuth is a cloud-based testing tool that provides an easy way to test, monitor and record the performance of web applications. The tool also allows users to share their test results with other team members so that they can collaborate more effectively.

Furthermore, Cloudsleuth allows organizations to easily simulate real user traffic and load conditions on their web applications. The tool also provides a wide range of features for analyzing and troubleshooting web application performance issues.

Features:

Nessus is one of the popular cloud-based testing tools designed to help testers with comprehensive security assessments. The tool offers a wide range of features and capabilities, including network discovery, server hardening and compliance checking.

With Nessus, you have a cost-effective way of reducing your organizations risk of a data breach. Plus, the tool is easy to use and can also scan for vulnerabilities in your applications, including those that are web-based applications.

Features:

Wireshark is an open-source network performance tool and has been around for many decades. It was first released as a packet capture tool but through many updated versions, the tool now has the features to help network administrators automate the testing of data transmitted across a network.

Wireshark also has a graphical user interface and can run conveniently on multiple operating systems such as Windows, Linux and macOS.

Features:

Testsigma is a cloud-based test automation tool that uses AI and Natural Language Processing (NLP) to make the process of creating, maintaining and executing tests easier for testers. As a result, this tool will be ideal for organizations that want to get started with test automation but lack the technical expertise on their team.

With Testsigma, you can take advantage of the AI-powered test case generation and maintenance feature. The tool also offers continuous integration and delivery support. This implies that your team can focus on other aspects of application development while the tool ensures that the quality of your product is up to par.

Features:

Jenkins is an open-source, self-contained automation testing tool written in Java that can be used to automate all stages of the software development process. In addition, the tool has numerous plugins that enable it to work with most programming languages, making it one of the most versatile cloud-based testing tools.

Features:

Watir is an open-source tool that can automate web browsers for testing purposes. The cloud-based testing tool interacts with a browser like humans do: Clicking links, filling out forms and verifying content.

It is simple and easy to use for first-time users, and can be used for regression testing. Additionally, it can also be used to catch issues in your applications, such as functional bugs, UI bugs and performance issues.

Features:

Blazemeter is a flexible, open-source, easy-to-use cloud testing tool that supports testing at any stage of the software development lifecycle. It provides a non-clustered user interface, making it easy to read and understand test reports.

Furthermore, Blazemeter makes it possible to capture volatile customer interaction and how your applications capacity to respond in such situations. Additionally, test teams can use Blazemeter to develop custom test scenarios and workflows, configure performance testing parameters and arrival rates.

Features:

Formerly known as AppThwack, AWS Device Farm tests your mobile and web applications across a wide range of devices, frameworks and operating systems. Any IT team can use the tool to assess the performance of software products before going live. This service also offers a testing capability that can generate logs, screenshots and videos on the go, giving your team clear-cut information on where there are defects in your application.

Furthermore, AWS Device Farm offers its service on the pay-as-you-go stream, allowing users to schedule their tests according to their budget. For instance, your team can decide to set some test parameters that can only run for an hour, and the service will provide the cost for running an hour test.

Features:

Launched in 2021, TestColab is a cloud test management tool designed for IT teams to test the quality assurance of their applications. The tool is built to support modern DevOps workflow where different teams work together to ensure that applications meet acceptable standards.

In other words, TestCollab enables your team to decide which path to take in hosting the tool. You enjoy the flexibility to either host on their cloud server or your personal server.

Features:

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Top cloud automation testing tools for 2022 - TechRepublic

Technological Innovations, Sustainable Infrastructure and Continuous Investments to drive the Data Center and Cloud Services Market in UAE: Ken…

Ken Research

UAE Data Center and Cloud Services Industry Report Covers Abu Dhabi Cloud Services Market, Alibaba Cloud Services UAE, AWS Cloud Services UAE, Cloud Services Industry In UAE, Cloud Services Market, Cloud Services Market In UAE, Co-Location Data Center Service Providers in UAE, Covid-19 Impact UAE Cloud Services Market, Covid-19 Impact UAE Data Center Market, CtrlS Cloud Services UAE, Data Center Industry In UAE, Data Center Manufacturing Companies in UAE, Data Center Market In UAE, Data Center Services Market, Dubai Data Center Market, eHosting Cloud Services UAE, Etisalat Cloud Services UAE, Google Cloud Services UAE, Growth of UAE Cloud Services Market, Growth of UAE Data Center Market, Huawei Cloud Services UAE, IBM Cloud Services UAE, Industry Research Report Of UAE Cloud Services, Industry Research Report Of UAE Data Center.

Gurugram, India, Aug. 05, 2022 (GLOBE NEWSWIRE) --

UAEs Data Center Industry is witnessing a surge in the Investments from local as well as global companies to meet the data storage demands of end users.

Etisalat is the major player in UAE Data center market having partnership with Khazna, Gulf Data hub and Pacific Controls to tackle challenges related to government rules.

Abu Dhabi Accountability Authority (ADAA) has become the first government entity to migrate its data center to the G42 cloud and enhance its AI capabilities across its digital operations in 2021.

UAE Data Center and Cloud Services Market Pipeline: Major Data Center and Cloud Service Market operators are exploring the market to set up their own Data Centers in UAE. Khazna, Etisalat, Equinix and Moro Hub are planning to open new Data Centers to expand their presence in UAE Data Center Market. Amazon Web Services are planning to open three data centers in the UAE whereas Oracle have reaffirmed to open its second-gen cloud region in Dubai.

Promising Government Initiatives: The increasing demand for reliable, efficient, and flexible Data Center infrastructure among service operators with various ICT initiatives by the government is expected to influence its growth in all the emirates in UAE. With initiatives such as UAE Vision 2021, Smart Dubai 2021, Smart Abu Dhabi and Dubai Pulse Platform, Abu Dhabi Vision 2021, Abu Dhabi Vision 2031 and UAE AI vision 2031, UAE government plans to ensure further investment and utilization of artificial intelligence in major industries which will generate more demand as well as growth for Data Center and Cloud Services Sector.

Story continues

Future of UAE Data Center and Cloud Services Market: Data Center and Cloud Services Market is expected to grow at a double digit positive CAGR during 2021-2026F. The emergence of 5G technology in UAE is likely to grow the adoption of IoT-enabled products in the UAE market, further contributing to the development of data center industry. Technological innovations and advancements, sustainable infrastructure, continuous investments and upcoming data center and cloud projects in the region to drive the UAE Data Center and Cloud Services Market.

The report titled UAE Data Center and Cloud Services Market Outlook to 2026F Driven by Rapid Digital Penetration along with Increasing Investments to meet the Rising Demand for Data Storage and Cloud Services by Ken Research provides a comprehensive analysis of the potential of Data Center and Cloud Services Industry in UAE. The report also covers overview and genesis of the industry, market size in terms of revenue generated; market segmentation by type of data center, type of co-location data centers on the basis of number of racks, type of end users, by type of clients and by region; challenges and bottlenecks, growth enablers and drivers; competitive landscape including competition scenario, market shares of major operators on the basis of number of racks and on the basis of MW of power. The report concludes with future market projections of each product segmentation.

Key Segments Covered:-UAE Data Center MarketBy Type of Data Center

Co-Location Data Centers

Managed Data Centers

By Type of Co-Location Data Centers on the basis of Number of Racks

By Type of Clients

Domestic Clients

Global Clients

By Type of Tier Level

Tier III Data Centers

Tier IV Data Centers

By Region on the basis of Number of Racks

By Type of End Users

IT/ITes

BFSI

Retail

Communication and Media

E-Commerce

Transport and Logistics

Request For Free Sample Report @ https://www.kenresearch.com/sample-report.php?Frmdetails=NTQ4ODA4

UAE Cloud Services Market

By Type of Cloud Services

Cloud Application Service (SaaS)

Cloud System Infrastructure Services (IaaS)

Cloud Application Infrastructure Service (PaaS)

By Type of Clients

Domestic Clients

Global Clients

By Type of End Users

Retail

E-Commerce

Communication and Media

Telecom

Transport and Logistics

Government

Key Target Audience

Time Period Captured in the Report:

Companies Covered:-Equipment Manufacturers

Moro Hub

Data Center Vaults

Equinix

eHosting

Khazna

Etisalat

Pacific Controls

Injazat

Gulf Data Hub

Key Topics Covered in the Report

Co-Location Data Center Service Providers in UAE

UAE Data Center and Cloud Services Market Current vs Future Overview

Cross Comparison of Data Center Market in UAE with Other Countries

Supply Side Ecosystem of UAE Data Center and Cloud Services Market

Demand Side Ecosystem of UAE Data Center and Cloud Services Market

Government Regulations for the UAE Data Center and Cloud Services Market

Enablers and Growth Drivers in UAE Data Center Market

Major Challenges and Bottlenecks in UAE Data Center Market

Snapshot of Data Construction Companies in UAE Data Center Market

Cloud Services Delivery Model

End User Analysis of UAE Data Center and Cloud Services Market

Detailed Analysis on UAE Data Center (Market Size, 2016-2021; Market Segmentation; Market Shares; Competition; Future Market Size, 2026F)

Detailed Analysis on UAE Cloud Services (Market Size, 2016-2021; Market Segmentation; Market Shares; Competition; Future Market Size, 2026F)

Abu Dhabi Cloud Services Market

Alibaba Cloud Services UAE

AWS Cloud Services UAE

Cloud Services Industry In UAE

Cloud Services Market

Cloud Services Market In UAE

Microsoft Cloud Services UAE

Middle East Data Center Market

Moro Hub Cloud Services UAE

Oracle Cloud Services UAE

Penta Cloud Services UAE

SAP Cloud Services UAE

UAE Cloud Application Infrastructure Services Market

UAE Cloud Application Services Market

For more information refer to this link:-

UAE Data Center and Cloud Services Market

Related Reports:-

India Data Center And Cloud Services Market Outlook To 2025- Favorable Government Support And Data Localization Leading To Surge In Data Center Adoption

The India data center market was observed to grow with a stable growth pattern in the review period 2014-2020P. Factors such as data localization law, governments digitization drive, rapid movement from cloud computing to the edge computing surge in outsourcing of data center services and others have helped the data center industry to grow in India in terms of revenue.

Indonesia Data Center Market Outlook to 2026 - Growing Tech Savy Population, Internet Penetration Rate and Rising Number of Facilities to Drive the Indonesia Data Center market in the near future

Indonesia data center market was observed to grow with an augmenting growth rate during the review period 2015-2026P. The Indonesia data center market in terms of Revenue has increased at a positive double digit CAGR during the review period 2015-2021. The growth was supported by rising number of data centers, increasing digitization in the country. Increasing internet penetration in Indonesia is contributing towards the high demand for digital services in the country. Augmenting demand for the data center services is driving the DC companies to expand in terms of space to cater to the increasing demand.

KSA Data Center and Cloud Services Market Outlook to 2026F Driven by rising investments in data centers from private sector and government support towards technology and Cloud first policy

KSA is the largest ICT market in the MENA, and it is well-positioned to become a technology service and cloud hub with access to international connectivity through the Red Sea and the Gulf. KSA Data Centre industry is witnessing robust growth in the era of virtualization and cloud computing. Shifts in creative media content towards Content Delivery Networks, IoT, growth of big data and the roll out of 5G is driving the demand for data consumption in KSA. Improvement in network connectivity, government support, and rapid growth in the adoption of big data, and IoT services have been strong enablers for the growth of the KSA data Center market.

KSA Data Center is moderately concentrated market with STC and Mobily are the top player with the greatest number of data centers. Majority of the Data Center operators are in collaborative terms with other market players to expand their business and reach to the rising demand of data usage by end users. KSA Data Center Market is set to grow at a CAGR of 19.5% in terms of revenue generation, over the period 2021-2026F. The KSA governments smart city initiatives, adoption of 5G, Internet of Things (IoT), Artificial Intelligence (AI) and cloud first policy are driving the demand for Data Centers.

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Technological Innovations, Sustainable Infrastructure and Continuous Investments to drive the Data Center and Cloud Services Market in UAE: Ken...

Public Cloud Market is Booming Thanks to Rapidly Expanding Application Area and Increasing Number of New Entrants – GlobeNewswire

Westford, USA, Aug. 03, 2022 (GLOBE NEWSWIRE) -- As the world becomes more digitized, the demand for public cloud services is growing at an unprecedented rate. Public cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are seeing huge increases in adoption and usage. This growth of the public cloud market is being driven by the many benefits of public cloud, including increased agility, flexibility, and scalability. With public cloud, businesses can quickly deploy new applications and services without having to invest in expensive infrastructure. They can also scale up or down rapidly as needed, without incurring any additional costs.

As per recent findings by SkyQuest, around 78% of IT professionals are dependent on some kind of public cloud computing for their daily work. 43% of enterprises now use the public cloud and more than 80% of organizations are planning to expand their public cloud infrastructure. The public cloud now accounts for around one-third of all enterprise IT infrastructure spending. And that figure is only going to grow in the years to come, with SkyQuest forecasting that public cloud spending will reach $649 billion by 2028.

The flexibility and scalability of public cloud are particularly appealing to small and medium-sized businesses that don't have the resources to invest in their own on-premises infrastructure. For these businesses, public cloud provides a cost-effective way to access the latest technology and keep pace with larger competitors.

The demand for public cloud services is being further fueled by the rise of Internet of Things (IoT) devices and big data analytics. These new technologies generate large amounts of data that need to be stored and processed somewhere, and public cloud is often the most efficient option.

Get sample copy of this report:

https://skyquestt.com/sample-request/public-cloud-market

Merger and Acquisition to Top the Chart

According to a recent study by SkyQuest, merger and acquisition activities are on the rise in public cloud market. This trend is being driven by a number of factors, including the growing maturity of the cloud market, the need for scale, and the desire to consolidate.

The study, which was conducted by SkyQuest found that there have been a total of 18 major public cloud mergers and acquisitions so far in 2022. This compares to just 12 in 2021 and 10 in 2020. Following are some of the key developments in 2022.

So why are we seeing this increase in activity?

One of the main reasons is that the public cloud market is now much more mature than it was a few years ago. This has led to more consolidation as companies look to increase their scale and market share. Another factor is that many companies now see the public cloud as a strategic asset and are willing to pay premium prices to acquire firms that can help them grow their presence in this space.

Finally, there is also an increasing recognition that the public cloud can be used to drive cost savings and efficiencies within an organization. This is leading many firms to look at consolidating their multiple cloud providers into a single platform.

SkyQuest has prepared a report on public cloud market that provide in depth analysis of merger and acquisition activities taken place in the market and its profound impact on the existing and well-established players. The report provides complete analysis of company profiles and their recent developments, SWOT analysis and growth strategies they are undertaking to overcome the challenges posed by their competitors.

AWS Rekognition and Azure Cognitive Services are more Focused on Machine Learning and AI

AWS Rekognition and Azure Cognitive Services offer different benefits to developers when it comes to adding machine learning and AI capabilities to their applications. Both services are cloud-based and provide APIs that can be used to build smart applications. AWS Rekognition is a fully managed service that makes it easy to add powerful machine learning features as per end-users applications and requirements. It offers a wide range of features for image and video analysis, including facial recognition, object detection, and scene understanding. Rekognition also offers integration with other AWS services, making it easy to build complete solutions on the AWS platform.

Azure Cognitive Services is a collection of AI services that allows developers to add intelligent features to their applications. It includes services for vision, speech, language, and decision-making. Azure Cognitive Services is hosted on Microsoft Azure and offers pay-as-you-go pricing.

Both AWS Rekognition and Azure Cognitive Services offer strong machine learning and AI capabilities. However, they are each better suited for different types of applications. For instance, AWS Rekognition is more focused on image analysis. It offers a wide range of image-processing algorithms, including support for Amazon SageMaker, which allows developers to train and deploy machine-learning models. Azure Cognitive Services is more focused on video analysis. It offers powerful video-indexing capabilities and integrates with the Azure Media Services platform.

SkyQuest has published a report on public cloud market. It primarily covers how these two services are performing in the market and what are the factors such as consumer preferences, applications, and organization size are influencing their growth in the market. The report also provides pricing analysis, potential consumer matric, competitive analysis, market dynamics, trends about the public cloud market.

Browse summary of the report and Complete Table of Contents (ToC):

https://skyquestt.com/report/public-cloud-market

Increasing Collaboration in Public Cloud Market to Run Serverless Application

Global public cloud market is poised to grow at a CAGR of over 15% during the forecast period. Wherein, the growth is majorly being driven by the growing demand for public cloud computing for running serverless applications. Serverless applications are event-driven, and they automatically scale up or down based on demand, making them perfect for use cases that are unpredictable or have sporadic traffic patterns. They're also composed of microservices, which makes them easier to develop and deploy.

AWS Lambda is one such platform, and it's gaining popularity due to its ease of use and features that make it ideal for serverless applications. In order to increase collaboration in the public cloud market and take advantage of the growing trend of serverless applications, it's important for companies to partner with each other. For example, AWS Lambda has partnered with several companies, including Disney, Adobe, and Capital One, to help them develop and deploy their serverless applications.

A recent survey by SkyQuest found that public cloud users are struggling to keep up with the pace of change, with nearly 60% of respondents saying they are not able to fully exploit the potential of their public cloud deployments. This is largely due to the lack of collaboration between different teams within an organization.

In line with this, major public cloud providers are coming together to ease the challenges that their end users are facing. For example, AWS and Azure have partnered up to provide a seamless experience for developers who want to use both platforms. This includes the ability to run serverless applications on both platforms with a single codebase.

In addition, GCP has also partnered with AWS and Azure to provide a serverless platform called Cloud Functions. This platform allows developers to write code in any language and have it automatically deployed across all three clouds.

SkyQuest has analyzed how the public cloud market is changing with increasing number of collaborations. The report is prepared after considering the impact of collaboration on the market and its future growth trajectory. Considering this, the report covers a detailed account of collaboration being taken place and its profound impact market forecast, market dynamics, and pricing.

Tightening Security in Public Cloud Market

As public cloud services continue to grow in popularity, concerns over security and compliance are increasing. While the cloud offers many advantages in terms of cost and flexibility, it also introduces new risks that must be managed.

Organizations are taking steps to ensure that their data and applications are secure in the cloud, and that they are compliant with relevant regulations. This can be a challenge, as the shared responsibility model means that both the provider and the customer are responsible for different aspects of security.

In order to protect their customers, providers in the global public cloud market are now starting to implement stricter security measures. For instance, many are now requiring two-factor authentication for all users, as well as imposing stricter access controls. Some providers are also beginning to offer additional services such as malware scanning and DDoS protection. These added features can help to further mitigate the risks associated with using the public cloud.

Organizations are also tightening security compliance standards for their employees. They are requiring employees to use strong passwords, two-factor authentication, and other methods to secure their accounts. In addition, they are educating employees about how to identify and report suspicious activity. By taking these measures, enterprises can help to protect their data and their business operations.

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Prominent Players in Global Public Cloud Market

Related Reports in SkyQuests Library:

Global High Performance Computing Market

Global Digital Transformation Market

Global Security Analytics Market

Global SAAS Market

Global Green Technology And Sustainability Market

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Public Cloud Market is Booming Thanks to Rapidly Expanding Application Area and Increasing Number of New Entrants - GlobeNewswire

Senior Lecturer / Associate Professor in Cloud Computing job with UNIVERSITY OF EAST LONDON | 303911 – Times Higher Education

Location: Docklands CampusSalary: Senior Lecturer starting from 47,183 per annum inclusive of London WeightingAssociate Professor starting from 55,548 per annum inclusive of London WeightingPost Type: Full TimePost Type:PermanentClosing Date: Thursday 01 September 2022Reference: 122A2022

The UEL student body is rich in its diversity; students are drawn from a wide range of backgrounds and age groups, with a high proportion of low-income groups. We are committed to providing a high-quality, innovative, relevant, and research-led teaching experience which attracts, engages, and develops students, supporting their academic achievement and professional ambitions. We look for outstanding teachers, who exude a love of teaching, who inspire and motivate both students and colleagues through their approaches to teaching, and who are strongly committed to achieving excellent outcomes for students.

The School of Architecture, Computing and Engineering is an award-winning, multidisciplinary hub that offers a transformational education built on outstanding applied research and supportive stakeholder relationships that shapes the lives of our communities locally and globally. The School has a proud history of offering industry driven and career-focused vocational courses, from architecture, art and design, computing and digital technologies, construction, and surveying, to a range of engineering disciplines. Over the past 124 years, the School has produced tens of thousands of graduates of a diverse background, with an estimated over 15,000 professionals currently playing key roles in industry and businesses, making significant contribution to national economies in the UK and across the world.

The position is based within the Computer Science and Digital Technologies (CDT) Department. The CDT Department delivers a range of over 20 undergraduate, postgraduate, degree apprenticeship and professional doctorate courses in areas such as computer science, AI, cloud computing, mobile computing, computing for business, data science, cyber security, information security and digital forensics.

As an expert in the field of Cloud Computing, you will deliver lectures, workshops, seminars, tutorials, and practical sessions. In addition to preparing teaching materials to conduct assessments in accordance with UELs quality standards. You will potentially lead modules and courses in fields related to Cloud Computing and you will contribute to the Schools vibrant research and/or knowledge transfer activities in this area - which include publishing in this area and obtaining research grants and funding. You will also mentor early-career academics, lecturers and senior lecturers, where appropriate.

Educated to postgraduate level in a relevant subject, with a relevant PhD, you will have extensive knowledge of the field. Also, you will be a confident networker and relationship builder able to engage local and national employers and other educational institutions to provide progression opportunities and enhance the student experience.

Informal enquiries may be addressed to Aaron Kans, Head of Department for Computer Science and Digital Technologies ata.kans@uel.ac.uk

Furtherdetails: JobDescription&PersonSpecification

CVs without acompleted application form will not be accepted.

At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.

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Senior Lecturer / Associate Professor in Cloud Computing job with UNIVERSITY OF EAST LONDON | 303911 - Times Higher Education