Page 2,570«..1020..2,5692,5702,5712,572..2,5802,590..»

Auto Scaling in Cloud Computing with AWS: Top 4 Advantages – hackernoon.com

October 10, 2021 | Author: admin

By 2020, 50% of businesses already have their workloads in the public cloud, says Stamford, a Connecticut-based research platform. With the aid of AWS auto-scaling, businesses that own applications in the cloud are able to monitor them while also ensuring that it automatically adjusts server capacity in order to maintain the performance of applications. This way, applications will not only have a stable, balanced, and predictable performance, but they can also achieve these changes at extremely reduced prices. The service exists to make the scaling process a straightforward one coupled with suggestions in regards to the optimization of application performance.

Srushti Shah is an ambitious, passionate, and out-of-the-box-thinking woman having vast exposure in digital marketing.

Given that by 2020, majority of businesses already had their workloads in the public cloud, it would come as no surprise to note how much more crucial cloud computing has become for organizations the world over. But as the demand for cloud-based services increases, so also does the need for load balancing and auto-scaling features in order to optimize performance and accessibility within cloud applications.

As such, one cannot talk about cloud optimization without referring to Amazon Web Services (AWS) and its role in bringing auto-scaling in cloud computing environments to the forefront. And if the research conducted by Stamford, a (Connecticut-based research platform) is anything to go by, the numbers gathered reveal that AWS owns about half of the entire public cloud infrastructure, amounting to a whopping 47.8%.

In that vein, this article will take you through what auto-scaling is all about and what benefits it holds in a cloud computing environment, especially with respect to Amazon Web Services.

Source

With the aid of AWS auto-scaling, businesses that own applications in the cloud are able to monitor them while also ensuring that it automatically adjusts server capacity in order to maintain the performance of applications.

This way, applications will not only have stable, balanced, and predictable performance, but they can also achieve these changes at extremely reduced prices.

Moreover, be it in decreasing or increasing the natural capacity of the Amazon Web Services software, auto-scaling through the platform is more than cost-effective for businesses. This is because AWS autoscaling ensures that all the scalable cloud-based services and resources within an organizations applications will be monitored.

Source

Through AWSs cloud auto-scaling service, businesses are afforded an uncomplicated yet powerful user interface that allows companies to create scaling plans with the aid of several Amazon Web Services resources.

The resources that are set up to use Amazon Web Services auto-scaling features include:

The service exists to make the scaling process a straightforward one coupled with suggestions in regards to the optimization of application performance, cutting costs, and finding a balance between the two. It is through AWS auto-scaling that cloud infrastructures are able to make use of resources of the right kind at a time when it is required.

Although AWS auto-scaling is touted as one of the best in the market, just like any other close-sourced software used in cloud management, it comes with its share of benefits and disadvantages. Lets look at them now.

Advantages:

Source

Scaling is swift and unified - With AWS, auto-scaling is consolidated and unified for all the scalable resources that power a businesss application or cloud infrastructure. AWSs features include the ability to view what the average utilization for every scalable resource looks like and promptly determine the target utilization levels you want to set for every group of resources from a unique, intuitive interface.

Easily predictable scaling - Because AWS auto-scaling measures both the least as well as the highest limits between which a cloud environments resources will scale, it is predictable in nature. At any point in time, businesses can promptly ascertain the least possible performance and greatest cost of the cloud environment.

Make informed scaling decisions - With the aid of AWS auto-scaling, your company can automate how groups belonging to different resources react to an increase or decrease in demand. As previously mentioned, the auto-scaling strategy with AWS is simple enough to grasp; businesses can choose to optimize a number of things which include:

As such, AWS auto-scaling lets companies set preferences and consequently fixes targets while also ensuring that it establishes scaling policies automatically as per a companys choice.

Keep up application performance automatically - Its the greatest advantage yet because, with Amazon Web Services autoscaling features, businesses can regularly and continuously keep an eye on all the resources that their application needs.

This is to ensure that all operational resources are at a companys desired performance levels. As soon as server requests hike up, AWS auto-scaling will automatically boost the capacity levels of previously constrained resources. This action allows businesses to maintain and even better the quality of service they provide to customers and clients.

Disadvantages

Although it is a unanimously agreed upon detail that AWS auto-scaling comes with very few disadvantages, businesses would do well to know what these cons are. As such, lets get a brief glance at them now.

Integration and synchronization, especially in terms of making regular code changes, may prove to be difficult tasks.The initial setting up of AWS auto-scaling may become too complicated, and engineers would have to go through prior training in order to familiarize themselves with the software.

Before businesses decide to invest in AWS and its auto-scaling features, you can benefit from understanding its workings, what sort of investments you would need to make in terms of equipping engineers with the knowledge and skills required, as well as investment costs.

Related Stories

Create your free account to unlock your custom reading experience.

See the original post:
Auto Scaling in Cloud Computing with AWS: Top 4 Advantages - hackernoon.com

Read More..
Posted in Cloud Computing | Leave a Comment

Cloud computing has helped save academic research during the pandemic – TechRadar

October 10, 2021 | Author: admin

A report from Google Cloud has highlighted how researchers in many fields are increasingly using cloud-based online collaboration and communication tools, AI and Machine Learning, following the disruption caused by the pandemic.

Polling almost 1,600 researchers from all over the world, the company found that many struggled to manage their workloads without interacting face-to-face with their colleagues and peers.

Globally, two-thirds (67%) reported a slowdown in progress, while 85% said they couldnt innovate effectively. Furthermore, 77% struggled to test, compute and collaborate effectively in a remote working environment.

All of this accelerated the demand for cloud-based and VR-powered collaboration and communication tools. Virtual meetings were up 91%, while the use of chat apps rose 62%, globally. Disruptive technologies, such as cloud, data and analytics, digital productivity, or AL/ML tools, are all being increasingly deployed. Among 96% of the respondents, at least one such tool is in use, right now.

While most businesses, both in the public and private sector, switched entirely to remote working to remain operational during the Covid-19 pandemic, some werent so lucky as to have that opportunity.

Among those are scientists in various critical fields, such as medical research, geophysics, climate science, chemistry, or computer engineering.

Even with the rollout of the vaccines and the pandemic slowly subsiding, investment in cloud and cloud-based solutions wont dwindle, the company found. More than half (52%) believe their firms will invest even more funds in cloud-based technologies over the next 12 months.

If new variants continue to keep researchers away from their labs and inside the virtual realm, Google argues businesses should use the cloud to scale as needed, leverage AI and ML as much as possible, optimize their data, and maximize ROI. That way researchers from both public and private facilities can continue working unabated.

Read this article:
Cloud computing has helped save academic research during the pandemic - TechRadar

Read More..
Posted in Cloud Computing | Leave a Comment

Granulate Joins The Cloud Native Computing Foundation USA – PRNewswire

October 10, 2021 | Author: admin

TEL AVIV, Israel, Oct. 7, 2021 /PRNewswire/ -- Granulate, a provider of autonomous real-time computing workload optimization and cost reduction solutions, today announcedit is joining the Cloud Native Computing Foundation (CNCF), part of the nonprofit Linux Foundation. The announcement comes as part of Granulate's deepening connection to the cloud computing community and the Kubernetes and open-source ecosystems.

"Becoming a more active member of the Cloud Native and Linux communities has long been a goal for our company as we grow, and joining the CNCF is a major milestone for us," said Asaf Ezra Co-Founder and CEO of Granulate. "As cloud adoption continues to grow, creating real-time visibility into cloud environments will only become more critical for the success of companies of all sizes, and we are excited to have our role to play in the cloud community."

Designed for use on any environment and architecture, Granulate is pioneering real-time continuous optimization for on-premise, cloud, and Kubernetes environments, which have become increasingly important. According to the 2020 CNCF Cloud Native Survey, the use of Kubernetes in production environments has risen to 83%, a 5% increase from 2019, and a 25% increase over the usage rates in 2018.

"We are thrilled to have Granulate as a member of the CNCF, and to have a new partner that is dedicated to bolstering the resources for those who dedicate themselves ensuring that the cloud becomes the standard for all," said Priyanka Sharma, Executive Director of the Cloud Native Computing Foundation

Joining the CNCF comes along with Granulate's continued development and addition of new features to the company's free open-source gProfiler, a production profiling toolthat measures the performance of code in production to facilitate computing optimization, improve code quality, and save on computing costs. Granulate's gProfiler empowers R&D and DevOps teams to maximize their applications' performance, improve the quality of their code and reduce cloud costs - all with simple installation and no code changes. Granulate recently launched gProfiler's Kubernetes Filters feature which supports both cluster-wide profiling and filtering Kubernetes deployments.

Granulate will be sponsoring the KubeCon + CloudNativeCon North America 2021 Conference from October 11 - 15. The conference is Cloud Native Computing Foundation's flagship event and gathers adopters and technologists from leading open source and cloud-native communities.

About Cloud Native Computing Foundation

Cloud-native computing empowers organizations to build and run scalable applications with an open-source software stack in public, private, and hybrid clouds. The Cloud Native Computing Foundation (CNCF) hosts critical components of the global technology infrastructure, including Kubernetes, Prometheus, and Envoy. CNCF brings together the industry's top developers, end-users, and vendors, and runs the largest open-source developer conferences in the world. Supported by more than 500 members, including the world's largest cloud computing and software companies, as well as over 200 innovative start-up's, CNCF is part of the non-profit Linux Foundation. For more information, please visit http://www.cncf.io.

About Granulate:

Granulate is a real-time, autonomous computing optimization company that delivers reduced compute costs, faster response time, and better throughput, without any code changes required. Granulate's patent-pending next-generation solution provides AI-driven, infrastructure and workload optimization for robust compute performance and cost improvements in any computing environment, empowering businesses of any size from any industry by bolstering their computing power while slashing computing costs. Companies that have implemented Granulate have reduced compute expenses by up to 60%, benefitting from a 40% response time reduction and 5X increase in throughput.

Granulate Contact: Raanan Loew[emailprotected]US: +1-347-897-9276

SOURCE Granulate

https://granulate.io/

Excerpt from:
Granulate Joins The Cloud Native Computing Foundation USA - PRNewswire

Read More..
Posted in Cloud Computing | Leave a Comment

Every cloud has a green lining – BCS

October 10, 2021 | Author: admin

For you

Be part of something bigger, join the Chartered Institute for IT.

According to McKinsey & Company, weve seen digital transformation accelerate seven years ahead of schedule due to the COVID-19 pandemic. The report also showed a seven year acceleration, on average, of companies creating digital or digitally-enhanced offerings.

Rather than this change being driven by B2B or B2C companies, it is instead being determined by those with or without physical products. The report states that the reported increases are much more significant in healthcare and pharma, financial services, and professional services, where executives report a jump nearly twice as large as those reported in CPG companies.

To further bolster this acceleration, a more recent study from IBM suggested the pandemic accelerated digital transformation by 59%. 60% of respondents also said COVID-19 adjusted our approach to change management and accelerated process automation, with 64% acknowledging a shift to more cloud-based business activities.

McKinsey & Company followed up their digital transformation report with a survey on digital consumer habits, which found a 20% growth in fully digital users in the six months ending in April 2021. Unsurprisingly, the survey showed a slight decrease in online activities once the world came out of lockdown for sectors like apparel, general retail, and grocery, where physical experiences are still valued by consumers. But this slight decrease is minimal in comparison to the general global increased digital footprint - across developed and developing countries.

Whether at home, in the office, working, or not, our lives are almost fully digital now, with a growing number of the technologies and applications we use every day being cloud-based. But, as mentioned above, every aspect of modern computing has a carbon price tag attached to it. With more people using more devices every day, there is a cost to the environment - and its one a lot of computing companies dont pay attention to. Experimentation to advance the human race at the cost of, well, the Earth.

Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) are trying to solve the impact modern computing is having on climate change - by realising its true effect on the environment and how to create and implement more sustainable practices. Earlier this year, they delivered their findings in a paper called Chasing Carbon: The Elusive Environmental Footprint of Computing.

The study found that carbon emissions have two sources: operational energy consumption, and hardware manufacturing and infrastructure. While algorithmic, software, and hardware innovations that boost performance and power efficiency help reduce the carbon footprint of operational energy consumption, the overall carbon footprint of computer systems continues to grow.

The paper specifically highlights data centres as contributing to carbon emissions - they account for 1% of global energy consumption, which is unsurprising when you think about how much energy is required to house and cool their servers. This helps demonstrate the importance for companies using the cloud to ensure they work with providers and hosting companies that are carbon-thoughtful.

The paper also looked at how reducing the complexity of devices could reduce manufacturing emissions. For example, look at modern chip design which houses silicon and billions of transistors. With only one small portion of the chip being used at any one time, theres a lot of unused silicon - or dark silicon, as its called - that increases performance. But at what cost to the environment?

Time is running out. The Intergovernmental Panel on Climate Change - the worlds leading authority on climate science - recently announced that human activity was unequivocally the cause of rapid changes to the climate. Confirming temperatures are on course to rise by at least 1.5 degrees over the next two decades, the IPCC said only rapid and drastic reductions in greenhouse gases in this decade can prevent such climate breakdown.

Every action or inaction has an impact on the environment and companies cannot play the ignorance card anymore. With more people moving online, companies delivering computational products and services must ensure they are doing so in the most sustainable way possible. This is especially important for those working in modern computing - what is the environmental impact your innovations are having? Do they cause more damage even when they are meant to solve the climate change crisis?

The cloud is enabling various products and services to help tackle the climate crisis around the globe but not all clouds are the same. You must consider the impact your provider is having - are they using renewable energy? Are they offsetting their carbon? Are they ensuring the most sustainable practices are in place? We need to all work together to reduce our carbon footprint now - and, when it comes to the cloud and the worlds accelerated digital transformation, that means looking at your own carbon footprint as well as your suppliers.

Jake Madders, along with his business partner Jon Lucas, founded Hyve Managed Hosting, in 2001. Since then, in his role as Director, Jake has facilitated the growth of Hyve from a small start-up to a hugely successful managed cloud hosting company with a global customer base.

Jake can often be found discussing a range of cloud and tech topics such as password security, preparing for cyber attacks, and the importance of diversification of tech.

See original here:
Every cloud has a green lining - BCS

Read More..
Posted in Cloud Computing | Leave a Comment

Cloud Computing Data Center IT Asset Disposition (ITAD) Market SWOT Analysis by Size, Status and Forecast to 2021-2027 Canoom – Canoom

October 10, 2021 | Author: admin

A newresearch study on Global Cloud Computing Data Center IT Asset Disposition (ITAD) Marketis added by HTF MI in its repository with an aim to offers a complete assesment about the factors influencing and overall market growth trend. The study covers latest development insights with disrupted trends and breakdown of Cloud Computing Data Center IT Asset Disposition (ITAD) products and offering correlated with macro-economic headwinds and slowdown. Quantitative statistics with qualitative reasoning related to market size, share, growth influencing factors of Cloud Computing Data Center IT Asset Disposition (ITAD) market are evaluated with Pre and Post 2020 by studying market dominant and emerging players ecosystem. Some of the players that are listed in the study are Arrow Electronics, Sims Recycling, IBM, HPE, Atlantix Global Systems, Iron Mountain Incorporated, GEEP, Dell, ITRenew Inc., Apto Solutions, CloudBlue Technologies & Dataserv.

If you are involved in the Cloud Computing Data Center IT Asset Disposition (ITAD) product offering or planning to enter, then this study will provide you comprehensive outlook and consequential analysis of Cloud Computing Data Center IT Asset Disposition (ITAD) companies and trending segments.

Get the inside scoop with free Sample report @:https://www.htfmarketreport.com/sample-report/3104766-global-cloud-computing-data-center-it-asset-disposition-4

The Global Cloud Computing Data Center IT Asset Disposition (ITAD) research study is segmented by Types [, IT Equipment & Support Infrastructure] as well as by Applications [Data Sanitization, Recovery, Recycling & Others] with historical and future market size & % share along with the growth rate. Important geographical regions like Americas, United States, Canada, Mexico, Brazil, APAC, China, Japan, Korea, Southeast Asia, India, Australia, Europe, Germany, France, UK, Italy, Russia, Middle East & Africa, Egypt, South Africa, Israel, Turkey & GCC Countries and leading players such as Arrow Electronics, Sims Recycling, IBM, HPE, Atlantix Global Systems, Iron Mountain Incorporated, GEEP, Dell, ITRenew Inc., Apto Solutions, CloudBlue Technologies & Dataserv are included. The report gives a clear idea about the growth factors, reasons for upliftment / deterioration of Cloud Computing Data Center IT Asset Disposition (ITAD) players in recent years and different opportunities and strategies to expand market.

To analyse different players of interest matching your business objectives from Cloud Computing Data Center IT Asset Disposition (ITAD) industry by geography or specific country; share customized requirement now.

Ask Our Expert for customization and feasibility @:https://www.htfmarketreport.com/enquiry-before-buy/3104766-global-cloud-computing-data-center-it-asset-disposition-4

Strategic Points Covered in Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market Table of Content

Chapter 1: Introduction, the basic information of the Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market & product overviewChapter 2: Objective of Study and Research Scope of the Cloud Computing Data Center IT Asset Disposition (ITAD) marketChapter 3: Cloud Computing Data Center IT Asset Disposition (ITAD) Market Dynamics- driving growth factors, disruptive forces, Trends and Challenges & OpportunitiesChapter 4: Market Factor Analysis, Cloud Computing Data Center IT Asset Disposition (ITAD) Value Chain, PESTEL & PORTER Model, Market Entropy, Patent/Trademark AnalysisChapter 5: Player Analysis; Competitive Landscape, Peer Group Analysis of Cloud Computing Data Center IT Asset Disposition (ITAD), Strategic Group Analysis, Perpetual Mapping, BCG Matrix & Company ProfilingChapter 6: Displaying Market Revenue Size by Type, application /vertical or end users, other Segments (2016-2026)Chapter 7: To evaluate the market by countries further broken down by countries (2016-2026)Chapter 8: Research MethodologyChapter 9: Data Source.

Major Highlights of Cloud Computing Data Center IT Asset Disposition (ITAD) Competitive Landscape

The company profile section of Cloud Computing Data Center IT Asset Disposition (ITAD) study analyses the companys operational structure, major products and services offering, geographic footprints and subsidiaries, key management executives and their biographies along with major and closest peer competitors.Understand and respond to Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market competitors; business strategies, and capitalize on strength and weakness with SWOT analysis.Latest developments of Cloud Computing Data Center IT Asset Disposition (ITAD) players and track findings and outcome following development.Potential investments and merger & acquisition targets set by giants in Cloud Computing Data Center IT Asset Disposition (ITAD) Industry, with detailed insight into the companys strategic & top-line and bottom-line performance.Highlighting key financial ratio and metrics of public and private companies of Cloud Computing Data Center IT Asset Disposition (ITAD) that include the revenue trends, growth margins, liquidity and leverage and efficiency ratios.To add value to product and services; Cloud Computing Data Center IT Asset Disposition (ITAD) research comprises of valuable measures showing distinguishable traits/features that influence end users behaviour and demand metrics.

Buy Latest Edition to Get full access of Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market Report @:https://www.htfmarketreport.com/buy-now?format=1&report=3104766

Thanks for reading Cloud Computing Data Center IT Asset Disposition (ITAD) Industry Research Publication; you can also get individual country or region wise report version like LATAM, NORDIC, North America, Eastern Europe, USA, Europe or Asia Pacific.

About Author:HTF Market Intelligence aims to provide research and analytical services to empower businesses with valuable strategies, by offering services with depth and breadth of industry mindsets, research and experience that helps in decision making.

Contact US:Craig Francis (PR & Marketing Manager)HTF Market Intelligence Consulting Private LimitedA5010, Marvel Edge, Viman Nagar,Maharastra, India[emailprotected]

Connect with us atLinkedIn|Facebook|Twitter

See more here:
Cloud Computing Data Center IT Asset Disposition (ITAD) Market SWOT Analysis by Size, Status and Forecast to 2021-2027 Canoom - Canoom

Read More..
Posted in Cloud Computing | Leave a Comment

Face Recognition Market Research Report by Type, by Computing, by Vertical, by Application, by Region – Global Forecast to 2026 – Cumulative Impact of…

October 10, 2021 | Author: admin

Face Recognition Market Research Report by Type (Artificial Neural Networks, Classical Face Recognition Algorithms, and D?based Face Recognition), by Computing (Cloud Computing and Edge Computing), by Vertical, by Application, by Region (Americas, Asia-Pacific, and Europe, Middle East & Africa) - Global Forecast to 2026 - Cumulative Impact of COVID-19

New York, Oct. 08, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Face Recognition Market Research Report by Type, by Computing, by Vertical, by Application, by Region - Global Forecast to 2026 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p06169309/?utm_source=GNW

The Global Face Recognition Market size was estimated at USD 4,178.26 million in 2020 and expected to reach USD 5,007.90 million in 2021, at a CAGR 20.19% to reach USD 12,598.07 million by 2026.

Market Statistics:The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2019 are considered historical years, 2020 as the base year, 2021 as the estimated year, and years from 2022 to 2026 are considered the forecast period.

Market Segmentation & Coverage:This research report categorizes the Face Recognition to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Type, the market was studied across Artificial Neural Networks, Classical Face Recognition Algorithms, D?based Face Recognition, Face Descriptor?based Methods, and Video?based Recognition.

Based on Computing, the market was studied across Cloud Computing and Edge Computing.

Based on Vertical, the market was studied across Automotive & Transportation, BFSI, Education, Energy & Utilities, Government & Defense, Healthcare, Manufacturing, Consumer Goods & Retail, and Telecommunications & IT.

Based on Application, the market was studied across Access Control, Attendance Tracking & Monitoring, Emotion Recognition, Law Enforcement, Robotics, eLearning, Advertising, and Payment.

Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, and Thailand. The Europe, Middle East & Africa is further studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.

Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Face Recognition Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitors strength and weakness thereby, providing insights to enhance product and service.

Company Usability Profiles:The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Face Recognition Market, including Animetrics, AnyVision, Aware, Inc., Ayonix Corporation, Clarifai, Cognitec Systems GmbH, Daon, DeepGlint, FaceFirst, Inc., Gemalto NV, id3 Technologies, IDEMIA, Innovatrics, Megvii, NEC Corporation, Neurotechnology, NVISO SA, SenseTime, StereoVision Imaging, Inc., Techno Brain Group, Visage Technologies, XJERA LABS, XRVision Pte. Ltd., Yitu Technology, and ZOLOZ CO., LTD..

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:1. What is the market size and forecast of the Global Face Recognition Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Face Recognition Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Face Recognition Market?4. What is the competitive strategic window for opportunities in the Global Face Recognition Market?5. What are the technology trends and regulatory frameworks in the Global Face Recognition Market?6. What is the market share of the leading vendors in the Global Face Recognition Market?7. What modes and strategic moves are considered suitable for entering the Global Face Recognition Market?Read the full report: https://www.reportlinker.com/p06169309/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

__________________________

Story continues

Read more here:
Face Recognition Market Research Report by Type, by Computing, by Vertical, by Application, by Region - Global Forecast to 2026 - Cumulative Impact of...

Read More..
Posted in Cloud Computing | Leave a Comment

University of Bath Unveils Janus, an Azure-Based Cloud HPC Environment – HPCwire

October 10, 2021 | Author: admin

The University of Bath is upgrading its HPC infrastructure, which it says supports a growing and wide range of research activities across the University. The previous system, Balena, is being replaced by a new, Microsoft Azure-based cloud HPC environment called Janus. Janus will be complemented by a bespoke on-campus [high-throughput computing] cluster running software applications that cant be moved off campus.

Janus, the University said, makes it the first university worldwide to move almost all its HPC research to Microsoft Azure platform[.] The new cloud environment contains an unspecified smattering of HB-series, HBv2-series, HBv3-series nodes, which contain between 16 and 120 AMD CPUs per node; HC-series nodes, which contain 44 Intel CPUs per node; Fsv2-series nodes, which contain between two and 72 Intel CPUs per node; and NCv3-series and NDv2-series nodes, which contain between one and eight Nvidia Tesla V100 GPUs per node.

These nodes are supported by an aggregate of 34TB of dedicated storage (including 16TB for storing data and 16TB of scratch space) and Mellanox EDR InfiniBand networking, all of which is connected via VPN to Bath through a 1GB/s connection. Janus uses Azure CycleCloud for automated configuration and management of the environment and Slurm for cluster job scheduling.

Meanwhile, the new HTC cluster, named Anatra, includes eight compute nodes, each equipped with dual AMD Milan CPUs, 256GB of memory and 960GB of NVMe storage. Anatra is based on RedHat Enterprise Linux v8 and uses a Slurm scheduler.

The University says that Janus will enable a myriad of benefits for its students and researchers, including significantly reduced compute times and a large diversity of cutting edge compute options, regularly updated to meet evolving research needs. Indeed, the Janus announcement follows the Universitys two years of exploration into the suitability of cloud infrastructure, including an HPC cloud service pilot project that it ran last summer with two dozen researchers.

We used Azure as part of the pilot project for running our computational fluid dynamics simulations with the program OpenFoam, said Katharine Fraser, a lecturer in the Department of Mechanical Engineering at the University of Bath. It was great to be able to run these large simulations just when we wanted, rather than waiting in the queue, and transitioning from Balena was straightforward with Azure having a user-friendly interface. In future, the wide variety of nodeswill be beneficial for running different types of simulations. The flexibility that cloud computing promises for engineering research is really exciting!

Both Janus and Anatra are still under development and will gradually be made available to researchers and postgraduate students at the University. The University is accepting applications for early-access user groups.

Balena, which Janus and Anatra will eventually replace, is pictured in the header image and includes 196 Intel Ivy Bridge nodes and 17 Intel Skylake nodes and delivers 63.2 peak teraflops of compute power.

See original here:
University of Bath Unveils Janus, an Azure-Based Cloud HPC Environment - HPCwire

Read More..
Posted in Cloud Computing | Leave a Comment

New Roles and Opportunities for CISOs – Analytics Insight

October 10, 2021 | Author: admin

The pandemic has emphasized the need for cloud readiness and digital modernization among the business leaders of today. This new normal post-pandemic is driving organizations to make decisions faster while maintaining business continuity and ensuring data security. The growing remote work and cloud adoption now bring the Chief Information Security Officers (CISOs) to ensure protection against the drastic change supporting the digital transformation (DX) and cloud computing initiatives. Technological advancements are providing new opportunities for collaboration between IT and business. As businesses start to grow after the pandemic it is up to the CISOs to make sure that a strong business foundation is built for the markets and companies to sail across these shifts.

Most of the businesses are shifting towards digitalization and this, in turn, created a demand for cloud adoption thereby raising the cloud spending by 37% to $29 billion in the first half of 2020. And these technological shifts are going to stay in the market expanding new opportunities. But as work becomes more decentralized there also increases the diligence to maintain cyber hygiene by monitoring the threats since organizations are reporting a 47% increase in cyberattacks.

The increase in cloud services demands a cybersecurity-filled culture that can be beneficial in terms of taking care of the risks. This is why most of the CISOs are moving towards a business focus to ensure the execution of new digital initiatives. The new normal has paved a way for a digital transformation CISO who will be responsible for driving cybersecurity by integrating into DX initiatives in all aspects of IT technology especially when coming to public cloud computing.

There is a need for CISOs to work continuously along with the LoB leaders to align business processes to cloud computing, explaining and identifying the shadow IT applications. And because of the high demand most of the companies have hired and are planning to hire a CISO with greater cloud computing skills and another 53% have employed or are planning to hire a business information security officer (BISO) to work with LoB managers ensuring the safe business processes.

The CISOs are responsible for selecting, deploying, and operating the necessary security controls that can enable the business while noting the cyber risks. The main challenge here is to enable an integrated and cohesive security strategy across the technology portfolio. These executives need to rationalize and transform the cloud ecosystems into an integrated and scalable security stack at the same time meeting divergent business requirements. And this requires a high-performance data pipeline for stream and batch data processing, API integration between tools, and process automation for immediate incident response and risk mitigation. Businesses need to inculcate a culture of security first to find the right balance between enabling the use of cloud services and safeguarding sensitive transactions and data.

Share This ArticleDo the sharing thingy

About AuthorMore info about author

See the rest here:
New Roles and Opportunities for CISOs - Analytics Insight

Read More..
Posted in Cloud Computing | Leave a Comment

Insights on the Healthcare Cloud Computing Market to 2027 | International Key Company’s -3M, CareCloud, Dell, IBM, Cisco, Microsoft, VMware EcoChunk…

October 10, 2021 | Author: admin

Global Healthcare Cloud Computing Market Synopsis:

The Global Healthcare Cloud Computing Market report is a skilful and deep analysis of the present situation and challenges. This report focuses on the key drivers, restraints, Market opportunities, threats and risks for Market major players. It makes available analysis of Market size, shares, growth, segmentation, revenue projection (USD Mn), and regional study till 2027. Analysis and discussion of important industry trends, Market size, and Market share estimates are mentioned in the report. Healthcare Cloud Computing Market research document also conducts study on production capacity, consumption, import and export for all major regions across the globe.

The reliable Healthcare Cloud Computing Market report offers a comprehensive overview of the global Market and contains thoughtful insights, facts, historical information, and statistically supported and industry-verified Market data. It also encompasses forecasts using a suitable set of predictions and distinct research methodologies. This industry report is a professional in-depth study on the current state of the Market. The Market report also contains the drivers and restraints for the Healthcare Cloud Computing Market that are derived from SOWT analysis, and also shows what all the recent developments, product launches, joint ventures, mergers and acquisitions by the several key players and brands that are driving the Market by systemic company profiles.

Available Exclusive Sample Copy of this Report @ https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-healthcare-cloud-computing-market&paragp .

The Global Healthcare Cloud Computing Market is expected to USD 83.66 Billion by 2027 growing at a CAGR of 17.25% in the forecast period of 2020 to 2027.

The most important key factors driving the growth of the Global Healthcare Cloud Computing Market are increasing expenditure in healthcare IT sector, rising popularity for SAAS model, advantages derived from using cloud computing in healthcare IT, speeding up the data or document processing in healthcare facilities. Additionally, use of block chain technology in the health cloud, formation of accountable care organizations and emergence of the telecloud will further boost various opportunities that will lead to the growth of the healthcare cloud computing market in the forecast period 2021-2027.

Global Healthcare Cloud Computing Market Segmentation:

In terms of geographic analysis, North America dominates the Healthcare Cloud Computing Market due to growing adoption of Electronic Health Records (EHRs) among medical professionals, the incentive-driven approach of government health IT programs and active participation by private sector players in the industrial development of this region, while Europe is expected to grow at the highest growth rate in the forecast period of 2020 to 2027.

Access Complete Report @ https://www.databridgemarketresearch.com/reports/global-healthcare-cloud-computing-market?utm_source=parag&utm_medium=pingale&utm_campaign=parag&utm_id=parag .

Top Major Key Players in the Global Healthcare Cloud Computing Market:

Report contents include

1 Analysis of the Healthcare Cloud Computing Market includes revenues, future growth, market outlook2 Historical data and forecast3 Regional analysis including growth estimates4 Analyses the end user markets including growth estimates.5 Profiles on Healthcare Cloud Computing including products, sales/revenues, and market position6 Healthcare Cloud Computing Market structure, key drivers and restraints

Get a TOC of Global Healthcare Cloud Computing Market Report 2021 @ https://www.databridgemarketresearch.com/toc/?dbmr=global-healthcare-cloud-computing-market&paragp .

Global Healthcare Cloud Computing Market: Table of Contents

1 Report Overview 2021-2027

2 Global Growth Trends 2021-2027

3 Competition Landscape by Key Players

4 Global Healthcare Cloud Computing Market Analysis by Regions

5 Global Healthcare Cloud Computing Market Analysis by Type

6 Global Healthcare Cloud Computing Market Analysis by Applications

7 Global Healthcare Cloud Computing Market Analysis by End-User

8 Key Companies Profiled

9 Global Healthcare Cloud Computing Market Manufacturers Cost Analysis

10 Marketing Channel, Distributors, and Customers

11 Market Dynamics

12 Global Healthcare Cloud Computing Market Forecasts 2021-2027

13 Research Findings and Conclusion

14 Methodology and Data Source

Get Our More Trending Research Report Here:

1 Healthcare IT Outsourcing Market (Global Healthcare IT Outsourcing Market Industry Trends and Forecast to 2027)

2 Healthcare IT Market (Global Healthcare IT Market Industry Trends and Forecast to 2027)

About Data Bridge Market Research:

Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.

Contact us:

Data Bridge Market Research

US: +1 888 387 2818

UK: +44 208 089 1725

Hong Kong: +852 8192 7475

Email: Corporatesales@databridgemarketresearch.com

Go here to read the rest:
Insights on the Healthcare Cloud Computing Market to 2027 | International Key Company's -3M, CareCloud, Dell, IBM, Cisco, Microsoft, VMware EcoChunk...

Read More..
Posted in Cloud Computing | Leave a Comment

2 Fascinating Altcoins to Add to Your Watch List – The Motley Fool

October 10, 2021 | Author: admin

Alternative cryptocurrencies born from Bitcoin's (CRYPTO: BTC) success have always been popular choices among crypto investors. Indeed, over the past year, the altcoin market cap has almost increased tenfold, growing to $1.25 trillion.

But with more than 12,350 tracked/listed altcoins out there, it can be difficult to find the diamonds in the rough. So let's look at how these two promising cryptos can add wealth to investors' portfolios.

Image source: Getty Images.

Theta is a next-generation blockchain video-streaming network launched in March 2019. The project's advisors include YouTube co-founder Steve Chen and Twitch co-founder Justin Kan. The idea isn't so different from content delivery networks like Fastly, which power websites like The New York Times, Reddit, and more. However, instead of using central servers to do the job, Theta is a peer-to-peer protocol that enables viewers themselves to stream content for others while earning money.

Here's how it works. First, users watch videos on Theta.tv or those powered by the Theta network and earnTheta Fuel(CRYPTO: TFUEL) as rewards. Then, while they are watching, the network automatically harvests excess bandwidth from viewers' devices and reallocates it to other viewers so they can watch the videos as well. Meanwhile, content creators also earn Theta Fuel for streaming on Theta.tv. The Theta(CRYPTO:THETA)token, on the other hand, is used for governance, like voting on proposed protocol changes.

Major partners on the site include the World Poker Tour, which hosts a 24/7 live broadcast powered by Theta. Before the great crypto sell-off in May, 1.5 million users visited the platform every month. That number is now down to about 477,000.

But now is a good time to buy the dip. Next year, Theta developers plan to denominate its videos into non-fungible tokens and expand the network's utility into decentralized cloud data storage. To do this, it plans to issue another token called TDROP. Overall, I would consider Theta, Theta Fuel (by the way, you don't have to watch the videos to invest in TFUEL), and TDROP all to be enticing investments against the backdrop of an innovative platform. Theta and Theta Fuel have returned 853% and 3,059%, respectively, in the past year alone.

Speaking of decentralized cloud data storage, that's exactly whatFilecoin(CRYPTO:FIL) and its platform were designed to do. In many ways, it is similar toAlphabet's Google Cloud. But again, instead of having a central server database, users pledge their own storage space from electronic devices on the Filecoin peer-to-peer network and charge "rent" for their use.

The total storage capacity of the network is 12 exbibytes, or 13.84 billion gigabytes. That's roughly equivalent to the entire storage space provided by Google Cloud circa 2015.

The end result is a global file storage system where anyone can buy and sell data space. It's especially in demand by companies who need storage space for their customer's information, or blockchain developers who store analytics. Filecoin is the native currency of the marketplace. Over the past year, Filecoin has rallied by a stunning 258% and now possesses a market cap of around $8 billion.

But don't get too excited about its prospect. Right now, the supply/demand dynamics aren't matching up. Even though the Filecoin network has facilitated over 1 million storage deals, it only has a few hundred clients. What's more, total network utilization stands at a mere 0.0286 exbibytes. So there's a lot of people who made their cloud storage data available but not a lot of people are using it. A great deal of "catch-up" is therefore required. It's an innovative high-risk, high-reward coin that's not for the faint of heart.

This article represents the opinion of the writer, who may disagree with the official recommendation position of a Motley Fool premium advisory service. Were motley! Questioning an investing thesis -- even one of our own -- helps us all think critically about investing and make decisions that help us become smarter, happier, and richer.

Original post:
2 Fascinating Altcoins to Add to Your Watch List - The Motley Fool

Read More..
Posted in Altcoin | Leave a Comment