Category Archives: Cloud Computing

Dr. David Rhew, Microsofts global chief medical officer and VP of healthcare, has been studying how technology can improve health outcomes for nearly three decades.

His focus has long been on access to care, quality of care, patient safety, improving experiences for patients and providers, and finding ways to improve the overall efficiency of care.

He was previously CMO at Samsung and Zynx Health before that. But his role at Redmond, Washington-based Microsoft (NSDQ:MSFT) one of the worlds cloud-computing leaders offers his best opportunity yet to shape the future of medtech.

Rhew spoke withMedical Design & Outsourcingas part of an ongoing series of conversations about cloud computings contributions to medtech and the potential ahead. The discussion that follows hasbeen edited for space and clarity.

MDO: Whats an example of an existing cloud-connected device that might inspire medtech designers and engineers?

RHEW: A company weve been working with, Sensoria, makes a boot for diabetics. One of the biggest challenges with diabetics is foot ulcers. This boots sensors can help track pressure and movement and a variety of things and allows us to pull all that data into the cloud and apply advanced analytics and AI to potentially predict pressure ulcers.

MDO: What about cloud-connected devices of the future? From your perspective, whats possible in the next five or 10 years?

RHEW: There are sensors all over the place that we can use, and we can think of putting sensors of any type on any device, something you wear or implant in your body. From there, the question is what do you do with the data? And thats where artificial intelligence and machine learning can come in. In a surgical arena or perhaps a procedure room, if youre a clinician or a surgeon, youre using a set of devices that dont really have any sensors. If we can gather information about these devices which are now not just mechanical, but becoming electronic we can manage those devices in ways that we have in the past. Its sort of like a car back when you didnt have any sensors about when your oil was low, and your car just starts smoking. Today, we have a lot of devices where you dont know when its going to conk out, probably the last thing you want to happen during the middle of a surgery. A lot of the devices, when youre working on a particular patient, theres activity specific to that patient that should be captured. It could be how long the procedure was, the number of pushes of certain buttons when you think about how that information can be used, and youre looking to determine the optimal ways to perform a procedure, thats valuable information. We know the duration of a surgery has a direct impact on surgical outcomes. We now can get more granular.

And thats whats exciting because were starting to gather patient-specific information but can start also thinking about different devices and different procedures being done within, say, the surgical unit. We can then start pulling all that together and analyzing across the board, comparing hospitals to hospitals and providers to providers. There is so much variation in care, and a lot of times, its unwarranted and there are often best practices that can be gleaned. If we can understand what the benchmarks are and strive toward those, we can lead to better quality improvements. And that can only be done when you have data thats accessible at the granular level, roll it up into different areas, benchmark it and allow for AI to be applied on top of it to provide real-time guidance and support and improve patient outcomes.

MDO: What can the cloud offer medtech companies from the earliest stages of device design and prototyping through manufacturing and having them in use?

RHEW: Start with supply chain, your ability to understand at any particular point where certain things are, your ability to predict demand. Were already seeing that outside of healthcare. That is a critical part of manufacturing, a critical part of logistics, and will be critical for getting devices built in a timely manner. Start thinking about the actual device itself and the storage and compute capabilities. Theres a lot of data coming in, potentially real-time, maybe continuous. That information will be hard for a lot of existing systems to manage, and you certainly dont want that to pop into the EHR. Its just going to overload the system. We need high-performance-compute capability for some of these activities, cloud computing to synthesize information real-time. Were going to need edge computing as well because a lot of that information doesnt even need to go to the cloud simultaneously but can be stored and managed and then ultimately pushed in different time periods. If you think about what we have beyond even the advanced analytics and prediction capabilities, we can look at things such as image analysis, video analysis, ways that we can meta tag different images so we can find other images and search those and even reports with those images using text analytics. All of this information can be analyzed using tools for natural language processing and visual cloud computing that gives us a whole new robust set of data that you apply on top of the quantitative data sets. Combine that with the fact that weve got interoperability that allows us to pull in electronic health record data and others. This creates a brand new opportunity for us to start answering questions that weve always had about how to improve care.

MDO: Are there any cloud-enabled tools that are uniquely relevant for medtech?

RHEW: The ability for us to navigate with voice to access particular pieces of information is critical, and were starting to see it being used in clinical environments. Microsoft and Nuance are looking to come together, and we see natural language processing in particular voice as a key part of how healthcare professionals will be interfacing with their devices, with patients and with the data. If we have an opportunity to leverage voice, to improve and streamline that workflow, we now can gain user acceptance from clinicians, because its very tedious for clinicians to find information by typing it into a computer or asking somebody else to. But with voice as that intermediary, we have now an opportunity to access a lot of this information that is in there, its just hard to find.

MDO: How can companies get started with the cloud?

RHEW: We work with companies that are small, medium and large. On the small side, we have our Microsoft startups program, working directly with companies trying to build out their applications. When youre a small company and even a medium-sized company, theres a lot you do just because you have to create an end-to-end solution, but its not necessarily something thats very worthwhile for you to start building out. For example, mechanisms to ensure the security of your data and mechanisms to build FHIR (Fast Healthcare Interoperability Resources) APIs to connect into different systems. Yes, it should be done, but its a bit of a commodity and something thats probably best outsourced to a company that spends their entire day doing it. Microsoft can provide those type of platforms, the security, and we can provide the tools that allow you to build off of that. Now, if youre a large company and youre thinking about moving to the cloud, theres a lot of capabilities weve been building that are fairly unique and perhaps represent a significant opportunity to leverage. Some of the AI capabilities, the high-performance compute, those are all things that could be very difficult for organizations that arent in the space to be building and continuing to add capabilities such as voice and video and text analytics. But thats the type of stuff that often is essential if you want to take advantage of these newer data sets.

Microsoft is partnering with Johnson & Johnson on the cloud; read more about what the future holds in MDOs conversation with two leaders in Johnson & Johnsons medical device business.

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Microsoft CMO: Using the cloud to improve medtech design, manufacturing and care - Medical Design & Outsourcing

NEW YORK, Feb. 14, 2022 (GLOBE NEWSWIRE) -- Wall Street Reporter, the trusted name in financial news since 1843, has published reports on the latest comments and insights from CEOs of: Splunk Inc. (NASDAQ: SPLK), XTM, Inc. (OTC: XTMIF) (CSE: PAID), Liquid Avatar (OTC: LQAVF) (CSE: LQID) and SoFi Technologies, Inc. (NASDAQ: SOFI).

Todays emerging technologies and lifestyle megatrends are unleashing trillion dollar market opportunities for disruptive innovation in how we live, work and play. Wall Street Reporter highlights the latest comments from industry thought leaders shaping our world today, and in the decades ahead:

Splunk Inc. (NASDAQ: SPLK) Interim CEO Graham Smith: Splunk is Extraordinary Company...Splunk is an extraordinary company...Our unmatched scalable index is still a critical and unique component of our platform. Over the years, we've built on that index to offer an extensible data platform that powers purpose-built solutions for security and observability, giving tens of thousands of organizations the ability to break down silos and investigate, correlate and take action on data at incredible scaleSplunk has grown from $450 million in revenue to now nearly $3 billion in annual recurring revenue, propelling us towards a future where every organization can harness the full power of its dataOur Q3 execution was strong as we continued to deliver high value to our customers around the world. Q3 was Splunk's first $1 billion cloud quarter with cloud ARR reaching $1.1 billion and growing 75% year-over-year. This was our 11th straight quarter of 70-plus percent cloud ARR growth. Our cloud bookings mix jumped to 68%, our highest ever. And our cloud dollar-based net retention rate increased to 130%. Total ARR grew 37% from the year ago period, keeping Splunk in the rarefied group of multibillion-dollar companies growing faster than 30%...Splunk Inc. (NASDAQ: SPLK) Earnings Highlights: https://www.wallstreetreporter.com/2022/02/14/splunk-inc-nasdaw-splk-q3-2022-earnings-highlights/

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XTM, Inc. (OTC: XTMIF) (CSE: PAID) Marilyn Schaffer CEO: Poised for Exponential Growth with $1 Trillion Market Opportunity XTM Inc, (OTC: XTMIF) (CSE: PAID) CEO Marilyn Schaffer, a featured presenter at Wall Street Reporters NEXT SUPER STOCK livestream, reports XTMIF is set for exponential revenue growth as its fintech platform expands into the $1 Trillion+ US restaurant, hospitality and services market in the coming weeks.

XTMIF is a fintech company in the neo-banking space, providing mobile banking and payment solutions specializing in the hospitality, personal care and service industries throughout North America. XTMIFs Today() app gives employees same day access to their earned wages and tips, via a mobile wallet and app.Same day access to tips and wages is a critical benefit in todays tight labor market, and gives restaurants and services a competitive advantage in recruiting and retaining staff. XTMIFs revenues are accelerating as more businesses adopt its fintech platform as a means to attract and retain staff.

CEO Marilyn Schaffer says XTMIF is poised for exponential growth in 2022 as it expands into the US market from Canada, and increasingly adapted by large restaurant and hospitality operators. Revenues are now scaling with +20-25% growth month-over-month. Marilyn shares that XTMIFs revenue growth will be further turbocharged as it layers on additional services in the app, and further monetizes its large and growing user base. XTMIF is also eyeing a number of strategic acquisitions in the fintech space in coming months. Watch XTM, Inc. (OTC: XTMIF) (CSE: PAID) Next Super Stock livestream video: https://www.wallstreetreporter.com/2022/02/01/xtm-otc-xtmif-cse-paid-fintech-poised-for-exponential-growth-in-1-trillion-market/

Liquid Avatar (OTC: LQAVF) (CSE: LQID) CEO David Lucatch: Metaverse Land Sales are Booming!Liquid Avatar (OTC: LQAVF) (CSE: LQID) CEO David Lucatch, a featured presenter at Wall Street Reporters NEXT SUPER STOCK investors livestream reports that LQAVFs metaverse digital land sales are starting to scale. LQAVF generated nearly CD$1 million revenues in from its Metaverse project Aftermath Islands just in recent months. LQAVF expects that its revenues have the potential to scale exponentially in coming months as the Metaverse gains mainstream attention. Watch ESE (OTC: LQAVF) (CSE: LQID) Next Super Stock livestream video: https://www.wallstreetreporter.com/2022/01/19/next-super-stock-liquid-avatar-otc-lqavf-cse-lqid-metaverse-nft-revenues-exploding/

Feb 7 - LQAVF and Game Credits launch first-ever Multiverse Collective, a collaborative alliance that will enable independent Metaverses to share technical, business and marketing resources and create value among its members. Liquid Avatar Technologies (via its controlled subsidiary Aftermath Islands Metaverse Limited) and Game Credits (Genesis Worlds) are building their respective Metaverses in an interoperable environment, which entails joint development, marketing, interoperability, authentication of users, verifiable credentials, and community engagement throughout the life cycle of each Metaverse, ensuring that users will be able to engage in a shared safe and secure experience. Users engaging in connected Metaverses is truly the next frontier in gaming.

Feb 3 - LQAVF announces that its controlled subsidiary, Aftermath Islands Metaverse Limited ("Aftermath Islands") together with seasoned, industry, and entertainment executive Howard Lefkowitz, who led Vegas.com from its rise from $360,000 in annual sales to over $400 million annually over a 10-year period, have launched Vegas Island, a premium destination in the Aftermath Islands Metaverse, an age restricted virtual island that will allow participants to buy virtual themed land, interact, and experience entertainment, gaming and High Roller experiences. Given the premium nature of the island and the planned programs, a limited amount of virtual land is available for sale to the public, starting at USD $100 per 1000 m2 and ranging in price to USD $5,200 for a mega 100 plot parcel.

Jan 26 - LQAVF announces that its controlled subsidiary, Aftermath Islands Metaverse Limited ("Aftermath Islands") is launching its first Play to Earn (P2E) mobile game for account holders in Aftermath Islands to support its upcoming Metaverse. The Lost Kingdom of T'Sara (LKoT) is a lore, fantasy adventure proof of work and staking game that allows players to earn rewards by completing time and skill activities. Rewards include planned Aftermath Island in-game tokens, resources, rare items, and other items that can be converted to NFTs and used in the Metaverse to build, craft and trade. This is the first in-game economic initiative for Aftermath Islands and will be free to play for all Aftermath Islands account holders. The Lost Kingdom of T'Sara is expected to launch early Q2 2022.Watch ESE (OTC: LQAVF) (CSE: LQID) Next Super Stock livestream video: https://www.wallstreetreporter.com/2022/01/19/next-super-stock-liquid-avatar-otc-lqavf-cse-lqid-metaverse-nft-revenues-exploding/

SoFi Technologies, Inc. (NASDAQ: SOFI) CEO Anthony Noto: Strongest Position Ever to Execute on Ambitious Long-Term Growth Strategy...The results we're reporting demonstrate three things: First, our ability to continue to deliver record financial results, which is a testament to our diversified business mix and our ability to execute on our long-term strategy. Second, our commitment to consistently iterate and innovate to create products that are both best-in-breed on a standalone basis and work even better when used together. And third, our ability to leverage data and learnings to drive more effective marketing and brand building as we strive to make SoFi a trusted household brand name. Collectively, these things are driving strong continued growth in members, products, and cross-buy.

...Broad-based revenue growth coupled with the benefits of cross-buying and our ongoing focus on realizing new operating efficiencies resulted in third quarter adjusted EBITDA of $10 million, our fifth consecutive quarter of positive EBITDA. Achieving record results allows us to invest in the new products and features necessary to position SoFi for long-term sustainable growth, we're sticking to our commitment to reinvest $0.70 of every incremental revenue dollar and drop $0.30 to the bottom line, as we scale our business....The third quarter was our second highest ever for both member and product growth, total members grew 96% year-over-year to 2.9 million. We added 377,000 new members, which is an amazing 35% increase versus the 279,000 new members we added in the Second Quarter.SoFi Technologies (NASDAQ: SOFI) Earnings Highlights: https://www.wallstreetreporter.com/2022/01/27/sofi-technologies-sofi-q3-2021-earnings-highlights/

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CEOs of SPLK, XTMIF, SOFI and LQAVF Unleashing Disruptive Innovation and Explosive Revenue Growth in Metaverse, Cloud Computing, Big Data and Fintech...

According to a Qulix report provided by MarketsandMarkets, the global cloud computing market reached $371.4 billion in 2020 and is fully expected to grow to $832.1 billion by 2025. How astonishing are those numbers?

With a multitude of industries making use of the various cloud solutions that are available today, from data backup, disaster recovery and big data analytics, all the way to infrastructure-as-a-service, platform-as-a-service, software-as-a-service, lets take a moment to delve into the world of programming languages and which ones provide the most bang for their buck.

Probably the worlds biggest and widely-known programming language is Java. Positioned as one of the best programming languages for cloud computing, Java is used by millions of developers across the globe.

As a highly versatile language, one of its most alluring features is that it can be used to create applications for websites, desktops, mobile devices and video games. A language that is suitable for all programming tasks, Java is object-oriented, can be used without a ton of complications, is platform-independent, and above all, is easy to learn.

Less well-known, but no less capable, is PHP. Easy to learn, PHP is well suited to the fast-paced world of cloud computing. PHP is known for seamlessly running on windows and UNIX servers, and is a fantastic choice when developing applications with dynamic elements.

In the realm of the techie, cloud programming has become one of the coolest things in the technology-driven world.

It can be used with a wide range of database management systems and runs smoothly in various operating systems. Being an object-oriented language, it can help the user to develop complex and large web applications. Its reliable, safe, fast and affordable everything you want and need a cloud computing language to be.

Owned by Microsoft, ASP.Net is mostly used to develop web applications and websites with multiple functions. Having positioned itself as a dynamic and powerful cloud computing language, its ability to provide dynamic web pages and cutting-edge solutions that can be viewed across different browsers sets this programming language apart from most.

The ability of .Net to minimise the use of large, complicated and intricate pieces of code when developing applications, its efficacy in the development of dynamic web pages, among so many other benefits, is truly what separates .Net from the chaff.

Moving on, no list is complete without mentioning Python a high-level language used by millions of developers across the globe. Surprisingly readable, Python is a highly-respected programming language that can be used by novices and veterans alike.

Python seamlessly combines various high-tech features such as speed, productivity, community and open source development, to improve programming. Regardless of whether the task is to create business applications, games, operating systems, computational and scientific applications, or graphic design and image processing applications, Python absolutely has you covered.

In my opinion, if you are seriously interested in getting into the cloud computing sphere, learning Python vastly increases your chances of landing lucrative employment and joining the bandwagon of celebrated cloud computing experts.

Python is used extensively in the Amazon Web Services (AWS) Cloud and is natively supported by AWS Lambda.

Lastly, Ruby. An ideal cloud computing programming language for absolute beginners to whet their appetite, Ruby is super-easy to use and master. It offers significant benefits because it has a massive ecosystem. As a programming language, it has the distinct advantage of having abundant resources that can be used to develop different applications, as well as more than 60 000 libraries and frameworks to choose from.

Add to that the extremely active community of passionate developers who help in the event of problems and Ruby is easily one of the best tools to master and add to your belt of tools and skills that will position you as a resourceful and expert cloud computing expert.

This list is by no means exhaustive. In the realm of the techie, cloud programming has become one of the coolest things in the technology-driven world. It has led to the development of new programming languages to complement traditional languages and offer fast, reliable, effective and cost-friendly design and execution of various applications.

So, before choosing and committing to one specific programming language especially as a beginner be sure to undertake thorough due diligence so that you select one that will meet your needs and career goals.

At the end of the day, the best programming languages for cloud computing are the ones that will offer the right support to help you to reach your full potential.

Choose wisely. But also have fun. The cloud computing language that you choose and learn should be the one you enjoy the most. Take the time to figure that out, within the confines of your industry, and you really cant go wrong.

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Best of the best: Programming languages and the cloud - ITWeb

The partnership looks to power Industry 4.0 for its enterprise clients.

Kyndryl and Nokia today announced a global network and edge computing alliance, to help enterprise customers accelerate digital transformations with private LTE and 5G

The partnership builds on a successful private wireless connectivity project that yielded a solution combining the Nokia Digital Automation Cloud (DAC) application platform with Kyndryls consult, design implementation and managed services.

This solution is designed to support the move to Industry 4.0, which is transforming how companies manufacture and distribute products with the aid of IoT, cloud computing, AI and other capabilities.

Kyndryl and Nokia share a vision of private wireless networking over both LTE and 5G enabling new levels of operational flexibility and adaptability across a range of asset-intensive industries, with manufacturing as a primary market segment.

The collaboration has already resulted in real world private wireless deployments and several proof of concept (PoC) applications for Dow Inc., to support Industry 4.0-enabled worker safety and collaboration, asset tracking, and other capabilities using a blueprint that it plans to expand and deploy across its sites worldwide.

By collaborating to provide solutions over LTE and 5G standards, Kyndryl and Nokia look to address marketplace opportunities that already utilise the industrial ecosystem now available with LTE, while paving the way for significant 5G enhancements.

Private wireless connectivity has been a key enabler to adding new data sources and analytics layers, for real-time process management and to facilitate automation, robotics, artificial intelligence, augmented and virtual reality use cases.

The value of real-time and historic data in manufacturing

Thomas Degen, solutions engineer industries at KX, discusses how combining real-time and historic data can improve the manufacturing process. Read here

As enterprises across every industry are seeking new ways to digitally transform their operations, 5G and edge computing grow so they can harness the promise of these emerging technologies, said Paul Savill, global practice leader of network and edge compute at Kyndryl.

By collaborating with Nokia, were taking another step forward in helping our customers unlock the power of LTE and 5G through a secure, private environment that helps them deliver tailored enterprise grade edge solutions that drive new value for their bottom lines and next gen customer experiences.

Chris Johnson, head of the Global Enterprise Business at Nokia, commented: By combining Kyndryls world-class services expertise and global reach with Nokias mission-critical, industry leading private wireless and industrial edge computing solutions, we will enable even more organisations to transform their operations, accelerate their digitalisation journey and reap the benefits of Industry 4.0.

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Kyndryl announces strategic edge computing partnership with Nokia - Information Age

Few trends in IT have been as pervasive in recent years as the dominance of cloud-native technologies including Kubernetes.

In an attempt to quantify the current state of cloud-native technology adoption, the Cloud Native Computing Foundation (CNCF) recently published its sixth annual Cloud Native Survey. The report is based on a survey of developers conducted by the CNCF as well as on production data from cloud monitoring vendors New Relic and Datadog and supplementary data from developer analyst firm SlashData.

Related: 4 Reasons Why Kubernetes Is So Popular

Among the big findings in the report is that approximately 5.6 million developers are using Kubernetes worldwide.

"The biggest surprise is that Kubernetes has reached the level where developers are using it without even being aware, kind of how Linux is everywhere without people realizing they are using it in their phones, TVs, or household appliances," CNCF Chief Technology Officer Chris Aniszczyk told ITPro Today.

Related: How and When to Use Cloud-Native Technology

Kubernetes isn't just about developers, it's also about having a target deployment for applications in the cloud.

Production data from CNCF member Datadog shows that nearly 90% of Kubernetes users leverage cloud-managed services, up from not even 70% in 2020, according to Aniszczyk.

In addition, CNCF's data found that 79% of respondents use Certified Kubernetes Hosted platforms, he said. The most popular platforms in use are Amazons EKS, Microsofts AKS, and Googles GKE.

Getty Images

While Kubernetes adoption overall is strong, the CNCF report found that large organizations, particularly enterprises with more than 5,000 employees, are far more likely to be using Kubernetes than smaller organizations. This pattern was mirrored by data from Datadog and SlashData.

"This could be because cloud-native challenges can be prohibitive to smaller organizations," Aniszczyk said.

According to the CNCF survey, the biggest challenges to using containers are:

Larger organizations are better able to hire Kubernetes experts and support their ongoing training, whereas smaller companies may be dependent on one or two individuals who are learning as they go.

"Trying to fill these gaps is exactly why we launched our Kubernetes and Cloud Native Associate [KCNA] exam and training our community expressed the need for more beginner-friendly training materials and certifications," Aniszczyk said.

Cloud-native is about more than just Kubernetes. The CNCF hosts a growing landscape of projects, including security, service mesh, container, logging, database, continuous integration/continuous delivery (CI/CD), and storage efforts, among others.

Aniszczyk said that as Kubernetes adoption in the CNCF community approaches 100%, he's starting to see organizations adopt technologies higher up the cloud-native stack. Companies are adopting less mature projects to tackle more advanced challenges for example, with service meshes including Envoy and Linkerd, as well as observability tools such as Prometheus and Fluentd, he said.

Aniszczyk pointed out that production usage data from CNCF member New Relic, for example, shows that Prometheus adoption increased by 43% in the last six months of 2021, while Fluentd adoption grew by 53% over the past year.

"I believe 2022 will be a defining year for emerging areas of cloud-native like edge, observability, and security, as container infrastructures continue to mature," Aniszczyk said.

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Cloud-Native Technology Growth Set to Go Beyond Kubernetes - ITPro Today

This tutorial is about the What are the impacts of Cloud computing in Financial Service Sector?. We will try our best so that you understand this guide. I hope you like this blog What are the impacts of Cloud computing in Financial Service Sector?. If your answer is yes then please do share after reading this.

Financial institutions have lagged behind in adopting cloud technologies, primarily due to concerns about security, regulatory compliance, and governance. As a result, they face challenges related to the business model, such as legacy technology, high operating costs, and lack of scalability. Cloud adoption is now becoming the norm and analysts predict that by 2022 approximately 75% of financial institutions infrastructure and data will be processed in the cloud and gradually migrate to it.

The amount of data produced and consumed is growing exponentially in the financial sector. Banking companies need an hour to install scalable systems. Cloud computing in fintech is an accelerating trend, fueled by the powerful influence of the cloud to meet many of the needs of the financial sector.

The cloud has brought numerous benefits to the financial industry in many areas, including security, service, innovation, and scalability. Cloud was even credited with helping fuel the industrys projected 23.84% compound annual growth rate. So why is cloud computing so important in financial services? Fintech startups and established financial organizations are competing to offer customers and end-users greater speed, reliability, and 24/7 availability of their digital products and services.

Data is the lifeblood of the financial services industry. Its crucial for a wide range of activities, from day-to-day account management to verifying user identities, viewing balances, and analyzing spending habits. Cloud technology enables fintech companies to securely, cost-effectively and autonomously store, manage and access large volumes of data from anywhere at any time.

The agility that cloud computing has brought to the fintech industry has accelerated innovation in the sector. The cloud enables financial organizations to develop their products and bring them to market faster, while allowing them to react quickly to changing demands and emerging trends. The Covid-19 pandemic brought many challenges to the fintech sector that cloud computing has helped financial services companies overcome with speed and ease.

In the age of high-profile data breaches and cybersecurity attacks, customers are increasingly aware of how their personal data is protected. The financial services industry has a responsibility to safeguard its customers data, and the cloud is improving the way financial companies do it. From data encryption to zero-trust verification and access control, many of the risks presented by traditional on-premises IT infrastructures are being mitigated through cloud computing in financial services.

Rapid growth is common in fintech companies, and these fast-growing companies need infrastructures that support their growth rather than slow it down. Cloud infrastructure allows financial companies to scale quickly and easily without barriers. From rapidly growing customer bases to the digitization of traditional banking services, financial companies often need to store additional resources in the cloud, which is far more cost-effective than upgrading or expanding traditional on-premises infrastructure.

I hope you understand this article What are the impacts of Cloud computing in Financial Service Sector?, if your answer is no then you can ask anything via contact forum section related to this article. And if your answer is yes then please share this article with your family and friends.

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What are the impacts of Cloud computing in Financial Service Sector? - BollyInside

Microservices are a core component of cloud-native computing.

Breaking applications into small, loosely coupled parts makes it easier for developers to build agile and resilient software. In addition, microservices shorten development cycles, which leads to faster innovation and a better user experience.

Experienced developers likely already know why microservices are central to cloud-native apps, and why they are beneficial. To actually build cloud-native applications based on a microservices architecture, however, developers must be well-versed in certain tools, programming languages and development techniques.

Cloud-native microservices refer to an application design strategy in which developers divide applications into a series of discrete units, called microservices. Each microservice can typically operate independently of the others, but the microservices share data and interact over a network to enable application functionality.

Microservices are inherently cloud-native, because cloud-native apps are based on microservices architectures -- that is, according to most definitions of cloud-native.

Microservices architectures have been around longer than cloud-native computing. Microservices started to become popular about a decade ago, whereas the term cloud-native emerged around 2015. Part of the reason developers conceptualized cloud-native as a distinct approach to application design and delivery was because so many applications were migrating to a microservices architecture.

Cloud-native is about more than just microservice -- distributed infrastructure and consumable services are also important parts of the equation. However, microservices are arguably the most important element of a cloud-native strategy.

That said, cloud-native microservices don't have to run in the cloud. Developers can use platforms such as Kubernetes to deploy them on premises.

Cloud-native microservices offer several benefits, including:

On the other hand, microservices pose some challenges. The biggest is that they increase application complexity. An application with more moving parts is more difficult to orchestrate.

For this reason, it's often not worth implementing microservices for relatively simple applications. These include applications with small codebases, and those with minor scalability or resiliency demands.

Developers can implement microservices, as an architectural style, in a variety of ways. There is no one specific tool or methodology to create a microservices application.

There are, however, some general guidelines that are helpful to design and build cloud-native microservices.

While it's possible to manage code for all of microservices within a single repository, it's not a best practice. Manage the code for each microservice separately to simplify development as much as possible.

For similar reasons, deploy each microservice into production as a separate unit, rather than all at once. Otherwise, developers can't update one microservice without affecting the rest of the application.

Give each microservice its own storage resources, rather than have all microservices share a database or other persistent data store. While this model requires additional effort, it enables developers to tailor storage resources to the needs of each individual microservice. It also reduces the risk that one microservice will overwrite or corrupt data associated with another microservice.

Developers can design microservices to communicate directly with external endpoints. A better approach, however, is to use an API gateway as an intermediary.

There are two main advantages to using an API gateway with microservices. First, it simplifies microservices deployment, because microservices don't need to recognize the exact location of external resources; they just recognize where the API gateway is. Second, the API gateway can validate and manage requests, which mitigates performance and security issues.

Microservices can share data directly with each other over an internal network. A better approach, however, is to use an intermediary infrastructure layer -- specifically, a service mesh -- to manage communications.

Service meshes manage requests between microservices. They're similar to API gateways, and they offer similar performance and security benefits. The main difference is that a service mesh handles internal communications, while an API gateway serves as an interface between microservices and external resources.

While it's possible to write microservices in any language, certain languages or frameworks are particularly well-suited to cloud-native microservices architectures.

For example, if you prefer Java, consider a Java framework such as Spring Boot, which caters to this use case. Go's concurrency features and modular design model make it a good choice for microservices programming. C++ also works well for microservices development, given its concurrency support and fast execution. Fast execution reduces the risk of application delays caused by microservices that are slow to handle requests.

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An intro to cloud-native microservices and how to build them - TechTarget

The healthcare facilities management market covers the following areas:

Healthcare facilities management market - Drivers & Challenges

The key factordriving growth in the healthcare facilities management market is the increasing demand for cloud-based healthcare facility management solutions.The growing demand for modern, technologically advanced solutions in the global healthcare facilities management market has led to a significant rise in the number of cloud computing solutions. Cloud-based solutions are increasingly being used to integrate healthcare facilities management services, as they offer a reliable means of hosting healthcare facilities management software. These solutions allow companies to increase security and collaboration among their teams and subsidiaries present in multiple locations, thereby reducing the operating costs incurred by the organization. Some vendors that offer cloud-based solutions for effective healthcare facilities management include SAP and IBM. The increase in the adoption of a cloud-based solution for healthcare facilities management can drive the growth of healthcare facilities management services across multiple end-user segments, thereby driving the market growth.

The fragmented nature of the market will be a major challenge for the healthcare facilities management market during the forecast period.The market is mainly composed of two segments, namely, the organized and unorganized sectors. The organized sector comprises big retailers or manufacturers, which have all the necessary permits and follow the relevant rules and regulations. On the other hand, the unorganized sector includes small retailers or manufacturers not registered with the government. The global healthcare facilities management market is highly fragmented and unorganized. The market is highly competitive, with participants offering different services, depending on the size of their operation. The presence of a large number of players in the market increases the level of competition; however, service differentiation is costly for vendors as each player must upgrade its cleaning services in line with the current technology. Also, organized players must engage in extensive marketing practices to create a brand name and differentiate their services from their competitors. These factors ultimately lead to a heavy cost burden for vendors and reduce their profit margins.

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Healthcare facilities management market - Segmentation Analysis

The Healthcare Facilities Management Market is segmented by End-user (hospitals and clinics, long-term healthcare facilities, and others) and Geography (North America, Europe, Asia, and ROW).

The healthcare facilities management market share growth by the hospitals and clinicssegment will be significant for revenue generation The function of healthcare facilities management in hospitals and clinics is to enable caregiving to patients in all forms, at the highest level. The other functions of healthcare facilities management in hospitals and clinics include facilitating a safe environment with minimal cross-exposure, controlling costs associated with complex business lines, maintaining patient privacy, comfort, and accessibility during their stay, coordinating the use of shared equipment and resources to ensure timely care, and simplify navigation for professionals, patients, and visitors.All such factors increase the demand for healthcare facilities management in hospitals and clinics, which will drive the market's growth during the forecast period.

Companies Mentioned

The healthcare facilities management market is fragmented and the vendors areorganic and inorganic deploying growth strategiesto compete in the market.

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Healthcare Facilities Management Market Scope

Report Coverage

Details

Page number

120

Base year

2021

Forecast period

2022-2026

Growth momentum & CAGR

Decelerate at a CAGR of 7.40%

Market growth 2022-2026

USD 68.46 billion

Market structure

Fragmented

YoY growth (%)

9.97

Regional analysis

North America, Europe, Asia, and ROW

Performing market contribution

North America at 37%

Key consumer countries

US, Germany, UK, Canada, and France

Competitive landscape

Leading companies, competitive strategies, consumer engagement scope

Companies profiled

ABM Industries Inc., Aramark Corp., Compass Group Plc, Ecolab Inc., ISS AS, Jones Lang LaSalle Inc., Medxcel Facilities Management LLC, Mitie Group Plc., Serco Group Plc, and Sodexo Group

Market Dynamics

Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and future consumer dynamics, market condition analysis for the forecast period,

Customization purview

If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

Key Topics Covered:

Executive Summary

Market Landscape

Market Sizing

Five Forces Analysis

Market Segmentation by End-user

Customer landscape

Geographic Landscape

Vendor Landscape

Vendor Analysis

Appendix

About UsTechnavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

ContactTechnavio ResearchJesse MaidaMedia & Marketing ExecutiveUS: +1 844 364 1100UK: +44 203 893 3200Email: [emailprotected]Website: http://www.technavio.com/

SOURCE Technavio

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Healthcare Facilities Management Market - 37% of Growth to Originate from North America| Increasing Demand for Cloud-based Healthcare Facility...

Compared to the previous generation, todays generation of startups are increasingly cloud-centric. The previous generation of dotcoms had to suffer the economics and complexities of deploying, managing, and scaling their own servers, networks, and data centers.

In contrast, todays generation grew up in the just-in-time, pay-for-what-you-need, and scale-up-on-demand world that is cloud native.

Also see: Why the Future of Computing is at the Edge

But over the last two years, businesses have largely opted for edge-enabled, serverless infrastructures. This means there are no servers to manage; no locations to spin up; and most importantly, no cloud computing contracts to analyze.

With edge-enabled, serverless infrastructures, businesses can benefit from faster and more stable API performance and a decreased need in infrastructure support and annual spend.

As a software practitioner for more than two decades, I have been through more paradigm shifts in computing than I can count. But I can confidently say this: The future of computing for an entire generation of companies will be edge-native, and the traditional cloud is the platform that will lose.

Also see: Top Edge Computing Companies

One of the main problems with paradigm shifts is that there are so many new technologies that emerge in the early stages. The same has been true for edge computing, with numerous companies offering edge-compute solutions that run on new infrastructures, telecommunications providers, and even cloud-computing companies.

When we talk about edge computing companies, were describing the ability to run code at the network edgespecifically the content delivery network (CDN) providers.

CDNs have been around since the beginning of the Internet. The major players (Akamai, Limelight, Cloudflare, Verizon Edgecast, and Fastly) have been helping customers ensure content is delivered quickly to customers by ensuring a large distributed global cache of servers.

In the old model, these providers simply stored data for companies, ensuring that as customers visited websites or downloaded software, the response times were fast because the server itself had the content as close to the customer as possible.

Also see: Will Edge Computing Devour the Cloud?

One change is that these server resources and the content delivery network itself are now programmable. This allows companies to move core API services off of centralized cloud servers and onto the existing globally distributed networks that the CDNs operate.

With edge solutions, companies that could only run servers in limited locations now have the ability to run APIs at a much larger scale, increasing user response speeds and the companys global footprint.

The second major change is how the code itself is deployed. With cloud computing, youre renting a server and running your code on it. With edge computing, you simply deploy your code to the platform, and the code is automatically run on the nearest server across the regions.

This idea, called serverless compute, is also offered by the cloud providers (AWS Lambda, Google Cloud functions, and Azure Functions). But with the edge platforms, these functions now run across a global fleet of servers with zero management overhead.

Changes in the technology landscape are dictated by the economics they offer, not just the innovation behind the product.

When cloud computing came to market, the economic advantage was instantly obvious. Cloud computing gives users the ability to swap high upfront investments in their own server and network infrastructures for zero upfront. They use on-demand leases of compute power that can be paid with a credit card. The adoption was driven by economics, not the technology.

With edge computing, we are seeing similar economic staying power. Cloud-computing companies buy server and data center infrastructure in bulk to support resales as capacity. Edge platforms, like CDNs, are using edge computing to drive additional value on existing infrastructure, which in turn lowers the cost required to provide compute services to customers.

CDNs are fundamentally simple servers: They hold copies of data (storage/memory), they look up requests for said data (CPU), and then return the data to the user (network). There are also a number of free CPU cycles available throughout the day, as most retrieve and transmit actions require less CPU power than running a full database engine.

With serverless models, CDN providers are able to further monetize their existing capacity, allowing for meaningful economic impacts downstream.

As companies expand globally, cloud-based bandwidth costs will only increase, whereas such costs are not even a factor in edge-native pricing. In addition, edge-native solutions dramatically lower management costs (no servers to monitor), scale rapidly at a global level (code runs near users automatically), and simplify billing.

For startups looking to offer low-cost solutions on a global scale, the simplicity and economics of the edge-native model is compelling. As the next generation of startups comes of age, we expect to see many adopt a cloud-free model.

Weve seen the future of the cloudand it lives on the edge. For businesses, this is a faster, more scalable, and dramatically cheaper solution to modern computing needs.

Also see: Why Cloud Means Cloud Native

About the Author:

Jake Loveless, CEO, Edgemesh

See the article here:

Why Edge Computing Will Overtake the Cloud | eWEEK - eWeek

Stakeholders and executives of financial organisations remain on the fence about whether the advantages of cloud computing outweigh the potential risks of trusting sensitive information to remote servers. With the current demands on banks IT infrastructure and front-, middle-, and back-office staff, and the implementation of Basel IV pushed forward to January 1, 2023, this year may be a good time to transition ever-growing IT infrastructure to the cloud.

Cloud computing is becoming increasingly attractive toand indispensable forfinancial organisations. The cloud has the potential to completely change the financial services landscape. Banks can take advantage of cloud technologies to improve their entire risk management systems and to access fast, high-end technologies on an as-needed basis. As a result of switching to cloud computing, many services can be delivered with reduced up-front capital outlay and IT expenses.

The current state of cloud computing allows financial organisations to access any modern core banking system offering without any loss in cost-effectiveness. This not only enables banks to save costs, but also increases data processing speed and improves the quality of the financial services they provide.

Despite possible initial hurdles in implementing cloud technologies, such as security risks, reliability issues, and problems with business continuity planning, the extra flexibility and scalability provided by the cloud far outweigh the negative aspects. If an organisation can ensure effective corporate governance and security by performing vigorous endpoint management and IT policy management, the cloud will provide many security benefits.

Some IT professionals still overlook the fact data can be more secure in the cloud than in a physical data center. They continue to see data which has been stored in the cloud as a vulnerable asset, raising security, privacy, and compliance concerns.

It is true some engineers are so focused on getting to the cloud they do not initially put the time into setting up security, governance, and auditing. In the best-case scenario, the organisation only has a permissions nightmare to deal with, even though incorporating proper governance will still be a painful and expensive process. In the worst case, neglecting security in a rush to the cloud can result in a data breach or the deletion of all of IaC (Infrastructure as Code to automate cloud resource deployments) and backups.

The cloud is very different from a traditional data center, and banks need to approach their data management differently as a result. Otherwise, the cloud could end up being an extra expensive data center should financial firms choose to throw their legacy technology into it.

Cloud computing has the resources to ensure high levels of security and prevent data breaches, but it is imperative an organisation implement vigorous endpoint management and IT policy management to gain the maximum benefit.

Unlike traditional data centers, which typically rely on physical defenses to prevent unauthorized access to data, public clouds, such as Amazon Web Service or Microsofts Azure, allow server-side 256-bit encryption to protect files. These files remain encrypted when they are transferred within the network or saved to cloud storage.

Data objects sent to the cloud server by the client/user are also deduplicated and compressed. In this case, if a third party were to gain access to the data, they would be forced not only to decrypt the objects without the AES (Advanced Encryption Standard) 256-bit encryption key, but also to uncompress and reassemble them into readable files.

When high-performance access to a file is required, the cloud infrastructure can be modified accordingly by deploying virtual or physical cache servers. As with traditional file servers and NAS (Network-Attached Storage) devices, these servers cache only the active files needed for local, high-speed access, thus reducing storage needs and costs.

Cloud storage data and metadata are encrypted and unavailable in their at-rest format, so a cache server is required to access them. This server, in turn, provides its own additional security, such as closed unused protocol ports, no open back-end access, additional encryption between the client and the directory server, and self-encrypting drives.

The same reliable authentication procedures and access tools as in an on-premises data center can be used for cloud deployments. For instance, access to remote data can be provided though standard file sharing protocols such as SMB (Server Message Block) 1, 2, and 3 or NFS (Near-Field Communication) v3 and v4, in exactly the same way as if traditional file servers or NAS (Network-Attached Storage) devices were used.

Additionally, AD (Active Directory) permissions, which are controlled by the banks system administrator, manage data access. An authenticated user can access only the data that is visible to them, and the rest of the data is protected through group- or user-specific policies. Moreover, the support of Active Directory trust relationships allows the creation of logical links and the application of policies between users and domains within the system.

The cloud easily surpasses the capabilities of traditional data storage when it comes to the protection of data against accidental or intentional mistakes and system failures which would otherwise lead to data corruptions.

Writing data to cloud storage is done using a WORM (Write Once Read Many) model, in which new data is always appended (added to the existing one) and never replaced or overwritten. The system creates snapshots of data at assigned intervals in order to be able to instantly recover any set of data in case any server-side or related problems occur.

Third party regulations and certifications ensure data is secure. All public clouds, such as AWS, Azure, or GCP, are required to go through extensive third-party certifications, e.g., HIPAA, HITECH, Soc2, PCI, and ITAR, to ensure all data is properly protected.

Consequently, they meet important audit and compliance requirements. Should a financial institution transfer its data to the cloud, it will meet all these requirements automatically. Should a financial institution transfer its data to the cloud, it will meet all these requirements automatically.

In the past, many data and file security solutions (such as firewalls and antivirus software only supported traditional NAS (Network-Attached Storage) software to detect and stop cyber threats. Today, the same integration capabilities are available when using cloud-based file storage.

Cloud solutions now allow high levels of flexibility when it comes to integration. This provides banks with the ability to find and isolate sensitive data, visualise data access, adopt and manage a least privilege access model, and streamline compliance activities.

Moreover, it allows unstructured data to be securely stored by financial institutions in public or on-premises cloud storage, where the cache server, as an extra layer of protection, processes the actively used data whenever high-performance access is required.

Working with on-premises deployment creates a false sense of security because of the perception the network itself is protected by a physical boundary. However, only the most sensitive networks operate in an air-gap mode without any outside access. Of course, providing remote access opens systems up to certain cybersecurity risks, but in the cloud, there is also less risk of misconfiguration, and all those risks are more easily mitigated by using standard security infrastructure and features, and standard security audit tools.

While cybersecurity risks exist in both on-premises and cloud environments, cloud systems are better protected than on-premises or data center deployments. It is notable many of the recent major hacks occurred in on-premises networks or hybrid environments rather than in purely cloud-based systems.

An optimally running cloud solution reduces cybersecurity risks through the use of a standard set of cloud services and technologies, which present less penetration risk than non-standard on-premises or hybrid networks.

Banking risk management functions will receive tangible benefits from cloud computing, but leaders of banks risk departments still face significant challenges when migrating to the cloud. With the increased number of cloud adoptions in finance, the importance of day one security, governance, and auditing should not be downplayed by a financial organizations management. Failing to take these factors seriously will undoubtedly lead to the disruption of business operations and could damage the organisations reputation owing to financial and legal issues.

To prevent disasters and secure a banks data in the cloud more effectively, they should set up multiple layers of security. For large banks and other financial organisations, it is better to set up risk management functions with a private cloud provider. Small- and medium-sized businesses, on the other hand, would benefit from taking advantage of the public cloud service providers in order to grow their business and connect data securely. For highly secure operations, it is better to use a private cloud. If you use a public cloud for the upper layer of your organisations operations, a hybrid cloud solution might also be a good option.

Moreover, hosting a cloud storage system in your own data center within a security perimeter can be just as efficient for your organisation. Private cloud solutions deployed in a private data center possess all the benefits of public clouds, including 256-bit encryption, compression, deduplication, and modular building blocks that can scale at a comparatively low cost.

By partnering with CompatibL, financial institutions can ensure they are always in control of their sensitive corporate and private information, and are compliant with the current and upcoming regulatory capital requirements.

See the article here:

Will the security benefits of cloud computing outweigh its risks in 2022? - Bobsguide