Category Archives: Cloud Computing

Cloud Security Alliance Issues Best Practices for Healthcare Delivery Organizations (HDO) to Mitigate Supply Chain Cyber Risks – Business Wire

Written by admin on May 14, 2022 — Leave a Comment

SEATTLE--(BUSINESS WIRE)--The Cloud Security Alliance (CSA), the worlds leading organization dedicated to defining standards, certifications, and best practices to help ensure a secure cloud computing environment, today released a new paper, Healthcare Supply Chain Cybersecurity Risk Management. Drafted by the Health Information Management Working Group, the report provides best practices that healthcare delivery organizations (HDOs) can use to manage the cybersecurity risks associated with their supply chains.

HDOs face risks from many different types of supply chain vendors, everything from food suppliers, software providers, medical devices, pharmaceuticals, and day-to-day medical supplies. This complexity and extended interdependency dramatically increases the consequences of a cyber incident, ranging from the leakage of sensitive personal information to the disruption of the actual provision of the supply chain.

Healthcare delivery organizations spend billions of dollars across thousands of suppliers each year. However, research indicates that current approaches to assessing and managing vendor risks are failing. The move to the cloud and edge computing have expanded HDOs electronic perimeters, not only making it harder for them to secure their infrastructure but also making them more attractive targets for cyberattacks. Given the importance of the supply chain, its critical that HDOs identify, assess, and mitigate supply chain cyber risks to ensure their business resilience, said Dr. James Angle, the papers lead author and co-chair of the Health Information Management Working Group.

Cyberattacks are more costly than ever as HDOs and their suppliers remain high-value targets. Moreover, problems with current approaches to supply chain risk management are creating additional economic burdens as organizations are experiencing an increase in fines and investigations from the Department of Health and Human Services and the Office of Civil Rights.

Unfortunately, supply chain exploitation is not just a potential risk, it is a reality. An insecure supply chain can significantly impact an HDOs risk profile and security, not to mention its bottom line, said Michael Roza, risk, audit, control, and compliance professional, CSA Fellow and a contributor to the paper. Its incumbent on HDOs, therefore, to ensure that their supply chain partners comply with data management policies in order to keep their organizations and their users safe.

When addressing cyber risk and security within the supply chain, its recommended that HDOs:

To learn more about addressing cyber risk within the HDO supply chain, download Healthcare Supply Chain Cybersecurity Risk Management.

The CSA Health Information Management Working Group aims to provide a direct influence on how health information service providers deliver secure cloud solutions (services, transport, applications, and storage) to their clients, and to foster cloud awareness within all aspects of healthcare and related industries. Individuals interested in becoming involved in Health Information Management future research and initiatives are invited to join the working group.

About Cloud Security Alliance

The Cloud Security Alliance (CSA) is the worlds leading organization dedicated to defining and raising awareness of best practices to help ensure a secure cloud computing environment. CSA harnesses the subject matter expertise of industry practitioners, associations, governments, and its corporate and individual members to offer cloud security-specific research, education, training, certification, events, and products. CSA's activities, knowledge, and extensive network benefit the entire community impacted by the cloud from providers and customers to governments, entrepreneurs, and the assurance industry and provide a forum through which different parties can work together to create and maintain a trusted cloud ecosystem. For further information, visit us at http://www.cloudsecurityalliance.org, and follow us on Twitter @cloudsa.

See the original post here:
Cloud Security Alliance Issues Best Practices for Healthcare Delivery Organizations (HDO) to Mitigate Supply Chain Cyber Risks - Business Wire

A Recipe to Migrate and Scale Monoliths in the Cloud – InfoQ.com

Written by admin on May 14, 2022 — Leave a Comment

Key Takeaways

As a consulting cloud architect at fourTheorem, I see many companies struggling to scale their applications and take full advantage of cloud computing.

Some of these companies are both startups and more consolidated organizations that have developed a product in a monolithic fashion and are finally getting some good traction in their markets. Their business is growing, but they are struggling to scale their deployments.

Their service is generally deployed on a private server on-premise or managed remotely by some hosting providers on a virtual server. With the increased demand for their service, their production environment is starting to suffer from slowness and intermittent availability, which eventually hinders the quality of the service and the potential for more growth.

Moving the product to a cloud provider such as AWS could be a sensible solution here. Using the cloud allows the company to use resources on demand and only pay as they go. Cloud resources could also be scaled dynamically to adapt to bursts of traffic keeping the user experience always up to great standards.

Interestingly enough, some of the companies that I have been talking to believe that, in order to transition to the cloud, they necessarily have to re-engineer the entire architecture of their application and switch to microservices or even serverless.

In most circumstances, re-engineering the entire application would be a prohibitive investment in terms of cost and time and it would divert focus that should otherwise be spent on building features that can help the business to grow more. This belief makes the business skeptical about the opportunities the cloud could bring them and they end up preferring a shorter-term scale-up strategy where the current application server is upgraded to a more powerful and expensive machine.

Of course, there is a limit on how big a single server can get, and eventually, the business will need to get back to square one and consider alternative solutions.

In this article, I want to present a simple cloud architecture that can allow an organization to take monolithic applications to the cloud incrementally without a dramatic change in the architecture. We will discuss the minimal requirements and basic components to take advantage of the scalability of the cloud. We will also explore common gotchas that might require some changes in your application codebase. Finally, we will analyze some opportunities for further improvement that will arise once the transition to the cloud is completed.

I have seen a good number of companies succeed in moving to the cloud with this approach. Once they have a foothold into the cloud and their application is stable they can focus on keeping their customers happy and grow their business even more. Moreover, since technology is not a blocker anymore, they can start experimenting and transition parts of their application to decoupled services. This allows the company to start transitioning to a microservices architecture and even new technologies such as Lambda functions, which can help to achieve greater agility in their development process and lead to additional growth opportunities for the business.

Lets make things a bit more tangible here and introduce a fictitious company that we will use as an imaginary case study to explore the topic of cloud migrations.

Eaglebox, Ltd. is a file storage company that offers the Eaglebox App, a web and mobile application that helps legal practitioners keep all their files organized and accessible remotely from multiple devices.

To get familiar with what Eaglebox App looks like, lets present a few specific use cases:

Eaglebox App is developed as a monolithic application written using the Django framework and PostgreSQL as a database.

Eaglebox App is currently deployed on a server on the Eaglebox premises, and all the customer files are kept in the machine drive (yes, they are backed up often!). Similarly, PostgreSQL is running as a service in the same machine. The database data is backed up often, but it is not replicated.

Eaglebox has recently closed a few contracts with some big legal firms, and since then, they are struggling to scale their infrastructure. Their server is becoming increasingly slow, the disk is saturating quickly, requiring a lot of maintenance. The user experience has become sub-optimal, and the whole business is currently at risk.

Lets see how we can help Eaglebox to move to the cloud with a revisited and more scalable architecture.

Based on what the engineers at EagleBox are telling us, we have identified a few crucial problems we need to tackle:

On top of these technical problems, we also need to acknowledge that the team at EagleBox does not have experience with cloud architectures and that a migration to the cloud will be a learning experience for them. Its important to limit the amount of change required for the migration to give the team time to adapt and absorb new knowledge.

Our challenge is to come up with an architecture that addresses all the existing technical problems, but at the same time provides the shortest possible path to the cloud and does not require a major technological change for the team.

To address EagleBox challenges we are going to suggest a simple, yet very scalable and resilient cloud architecture, targeting AWS as the cloud provider of choice.

Such architecture will have the following components:

Figure1. High-level view of the proposed architecture.

In Figure1, we can see a high-level view of the proposed architecture. Lets zoom in on the various components.

Before we discuss the details of the various components it is important to briefly explore how AWS exposes its data centers and how we can configure the networking for our architecture. We are not going to go into great detail but we need to cover the basics to be able to understand what kind of failures we can expect and how we can keep the application running even when things do fail. And how we can make it scale when the traffic increases.

The cloud is not infallible, things break even in there. Cloud providers like AWS, Azure, and Google Cloud give us tools and best practices to be able to design resilient architectures, but its a shared responsibility model where we need to understand what the providers assurances are, what could break, and how.

When it comes to networking, there are a few high-level concepts that we need to introduce. Note that I will be using AWS terminology here, but the concepts should apply also to Azure and Google Cloud.

For the sake of our architecture, we would go with a VPC configuration like the one illustrated in Figure 2.

Figure 2. VPC configuration for our architecture

The main idea is to select a Region close to our customers and create a dedicated VPC in that region. We will then use 3 different availability zones and have a public and a private subnet for every availability zone.

We will use the public subnets only for the load balancer, and we will use the private subnets for every other component in our architecture: virtual machines, cache servers, and databases.

Action point: Start by configuring a VPC in your region of choice. Make sure to create public and private subnets in different availability zones.

The load balancer is the entry point for all the traffic going to the Eaglebox App servers. This is an Elastic Application Load Balancer (layer 7), which can manage HTTP, HTTPS, WebSocket and gRPC traffic. It is configured to distribute the incoming traffic to the virtual machines serving as backend servers. It can check the health of the targets, making sure to forward incoming traffic only to the instances that are healthy and responsive.

Action point: Make sure your monolith has a simple endpoint that can be used to check the health of the instance. If there isnt one already, add it to the application.

Through an integration with ACM (AWS Certificate Manager), the load balancer can use a certificate and serve HTTPS traffic, making sure that all the incoming and outgoing traffic is encrypted.

From a networking perspective, the load balancer is configured to use all the public subnets, therefore, using all the availability zones. This makes the load balancer highly available: if an availability zone suddenly becomes unavailable, the traffic will automatically be routed through the remaining availability zones.

In AWS, Elastic Load Balancers are well capable of handling growing traffic and every instance is capable of distributing even millions of requests per second. For most real-life applications we wont need to worry about doing anything in particular to scale the load balancer. Finally, its worth mentioning that this kind of load balancer is fully managed by AWS so we dont need to worry about system configuration or software updates.

Eaglebox App is a web application written in Python using the Django framework. We want to be able to run multiple instances of the application on different servers simultaneously. This way the application can scale according to increasing traffic. Ideally, we want to spread different instances across different availability zones. Again, if an availability zone becomes unavailable, we want to have instances in other zones to handle the traffic and avoid downtimes.

To make the instances scale dynamically, we can use an autoscaling group. Autoscaling groups allow us to define the conditions under which new instances of the application will automatically be launched (or destroyed in case of downscaling). For instance, we could use the average CPU levels or the average number of requests per instance to determine if we need to spin up new instances or, if there is already plenty of capacity available, we can decide to scale the number of instances down and save on cost. To guarantee high availability, we need to make sure there is always at least one instance available in every availability zone.

In order to provision a virtual machine, it is necessary to build a virtual machine image. An image is effectively a way to package an operating system, all the necessary software (e.g. the Python runtime), the source code of our application, and all its dependencies.

Having to define images to start virtual machine instances might not seem like an important detail, but it is a big departure from how software is generally managed on premise. On premise, its quite common to keep virtual machines around forever. Once provisioned, its common practice for IT managers to login into the machine to patch software, restart services or deploy new releases of the application. This is not feasible anymore once multiple instances are around and they are automatically started and destroyed in the cloud.

A best practice in the cloud is to consider virtual machines immutable: once they are started they are not supposed to be changed. If you need to release an update, then you build a new image and start to roll out new instances while phasing out the old ones.

But immutability does not only affect deployments or software updates. It also affects the way data (or state in general) is managed. We cannot afford to store any persistent state locally in the virtual machine anymore. If the machine gets shut down we will lose all the data, so no more files saved in the local filesystem or session data in the application memory.

With this new mental model infrastructure and data become well-separated concerns that are handled and managed independently from one another.

As we go through the exercise of reviewing the existing code and building the virtual machine images, it will be important to identify all the parts of the code that access data (files, database records, user session data, etc.) and make the necessary changes to ensure that no data is stored locally within the instance. We will discuss more in depth what are our options here as we go through the different types of storage that we need for our architecture.

But how do we build a virtual machine image?

There are several different tools and methodologies that can help us with this task. Personally, the ones I have used in the past and that I have been quite happy with are EC2 Image Builder by AWS and Packer by Hashicorp.

In AWS, the easiest way to spin up a relational database such as PostgreSQL is to use RDS: Relational Database Service. RDS is a managed service that allows you to spin up a database instance for which AWS will take care of updates and backups.

RDS PostgreSQL can be configured to have read replicas. Read replicas are a great way to offload the read queries to multiple instances, keeping the database responsive and snappy even under heavy load.

Another interesting feature of RDS is the possibility to run a PostgreSQL instance in multi-AZ mode. This means that the main instance of the database will run on a specific AZ, but there will be at least 2 standby replicas in other AZs ready to be used in case the main AZ should fail. AWS will take care of performing an automatic switch-over in case of disaster to make sure your database is back online as soon as possible and without any manual intervention.

Keep in mind that multi-AZ failover is not instantaneous (it generally takes 60-120 seconds) so you need to engineer your application to work (or at least to show a clear descriptive message to the users) even when a connection to the database cannot be established.

Now, the main question is, how do we migrate the data from the on-premise database to a new instance on RDS? Ideally, we would like to have a process that allows us to transition between the two environments gradually and without downtimes, so what can we do about that?

AWS offers another database service called AWS Database Migration Service. This service allows you to replicate all the data from the old database to the new one. The interesting part is that it can also keep the two databases in sync during the switch over, when, due to DNS propagation, you might have some users landing on the new system while others might still be routed to the old server.

Action point: Create a database instance on RDS and enable Multi-AZ mode. Use AWS Database Migration Service to migrate all the data and keep the two databases in sync during the switch-over phase.

In our new architecture, we can implement a distributed file storage by simply adopting S3 (Simple Storage Service). S3 is one of the very first AWS services and probably one of the most famous.

S3 is a durable object storage service. It allows you to store any arbitrary amount of data durably. Objects can be stored in buckets (logical containers with a unique name). S3 uses a key/value storage model: every object in a bucket is uniquely identified by a key and content and metadata can be associated with a key.

To start using S3 and be able to read and write objects, we need to use the AWS SDK. This is available for many languages (including Python) and it offers a programmatic interface to interact with all AWS services, including S3.

We can also interact with S3 by using the AWS Command Line Interface. The CLI has a command that can be particularly convenient in our scenariothe sync command. With this command, we can copy all the existing files into an S3 bucket of our choice.

To transition smoothly between the two environments, a good strategy is to start using S3 straight away from the existing environments. This means that we will need to synchronize all our local files into a bucket, then we need to make sure that every new file uploaded by the users is copied into the same bucket as well.

Action point: Files migration. Create a new S3 bucket. Synchronize all the existing files into the bucket. Save every new file in S3.

In our new architecture, we will have multiple backend servers handling requests for the users. Given that the traffic is load balanced, a user request might end up on a given backend instance but the following request from the same user might end up being served by another instance.

For this reason, all the instances need to have access to a shared session storage. In fact, without a shared session storage, the individual instances wont be able to correctly recognize the user session when a request is served by a different instance from the one that originally initiated the session.

A common way to implement a distributed session storage is to use a Redis instance.

The easiest way to spin up a Redis instance on AWS is to use a service called Elasticache. Elasticache is a managed service for Redis and Memcached and as with RDS, it is built in such a way that you dont have to worry about the operative system or about installing security patches.

ElastiCache can spin up a Redis Cluster in multi-AZ mode with automatic failover. Like with RDS, this means that if the Availability Zone where the primary instance of the cluster were to be unreachable, Elasticache would automatically perform a DNS failover and switch to one of the standby replicas in one of the other Availability Zones. Also, in this case, the failover is not instantaneous, so its important to account at the application level that it might not be possible to establish a connection to Redis during a failover.

Action point: Provision a Redis cluster using ElastiCache and make sure all the session data is stored there.

The final step in our migration is about DNS, how do we start forwarding traffic to our new infrastructure on AWS?

The best way to do that is to configure all our DNS for the application in Route 53. Route 53 is a highly available and scalable cloud DNS service.

It can be configured to forward all the traffic on our application domain to our load balancer. Once we configure and enable this (and DNS has been propagated) we will start to receive traffic on the new infrastructure.

If your domain has been registered somewhere else you can either transfer the domain to AWS or change your registrar configuration to use your new Route 53 hosted zone as a name server.

Action point: Create a new hosted zone in Route 53 and configure your DNS to point your domain to the application load balancer. Once you are ready to switch over, point your domain registrar to Route 53 or transfer the domain to AWS.

As we have seen, this new architecture consists of a good amount of moving parts. How can we keep track of all of them and make sure all our environments (e.g. development, QA, and production) are as consistent as possible?

The best way to approach this is through Infrastructure as a Code (IaaC). IaaC, allows you to keep all your infrastructure defined declaratively as code. This code can be stored in a repository (even the same repository you already use for the application codebase). By doing that, all your infrastructure is visible to all the developers. They can review changes and contribute directly. More importantly, IaaC gives you a repeatable process to ship changes across environments and this helps you to keep things aligned as the architecture evolves.

The tool of choice, when it comes to IaaC on AWS, is CloudFormation which allows you to specify your infrastructure templates using YAML. Another alternative tool from AWS is Cloud Development Kit (CDK) which provides a higher-level interface that can be used to define your infrastructure in code using programming languages such as TypeScript, Python, or Java.

Another common alternative is a third-party cross-cloud tool called Terraform.

Its not important which tool you pick (they all have their pros and cons) but its extremely important to define all the infrastructure as code to make sure you can start to build a solid process around how to ship infrastructure changes to the cloud.

Another important topic is observability. Now that we have so many moving parts, how do we debug issues or how do we make sure that the system is healthy? Discussing observability goes beyond the scope of this article, but if you are curious to start exploring topics such as distributed logs, tracing, metrics, alarms, and dashboards make sure to have a look at CloudWatch and X-Ray.

Infrastructure as code and observability are two extremely important topics that will help you a lot to deploy applications to the cloud and keep them running smoothly.

So now that we are in the cloud, is our journey over? Quite the contrary, this journey has just begun and there is a lot more to explore and learn about.

Now that we are in the cloud we have many opportunities to explore new technologies and approaches.

We could start to explore containers or even serverless. If we are building a new feature we are not necessarily constrained by having to deploy in one monolithic server. We can build the new feature in a more decoupled way and try to leverage new tools.

For instance, lets say we need to build a feature to notify them by email when new documents for a case have been uploaded by another user. One way to do this is to use a queue and a worker. The application can publish to a queue the definition of a job related to sending a notification email. A pool of workers can process these jobs from the queue and do the hard work of sending the emails.

This approach allows the backend application to stay snappy and responsive and delegate time-consuming background tasks (like sending emails) to external workers that can work asynchronously.

One way to implement this on AWS is to use SQS (queue) and Lambda (serverless compute).

This is just an example that shows how being in the cloud opens up new possibilities that can allow a company to iterate fast and keep experimenting while leveraging a comprehensive suite of tools and technologies available on demand.

The cloud is a journey, not a destination and this journey has just begun, enjoy the ride!

Originally posted here:
A Recipe to Migrate and Scale Monoliths in the Cloud - InfoQ.com

Global Mobile Edge Computing Market Trajectory & Analytics Report 2022: Accelerating Pace of Connected Care Adoption Drives Opportunities -…

Written by admin on May 14, 2022 — Leave a Comment

DUBLIN, May 13, 2022--(BUSINESS WIRE)--The "Mobile Edge Computing - Global Market Trajectory & Analytics" report has been added to ResearchAndMarkets.com's offering.

Global Mobile Edge Computing Market to Reach $2.2 Billion by 2026

The global market for Mobile Edge Computing estimated at US$427.3 Million in the year 2020, is projected to reach a revised size of US$2.2 Billion by 2026, growing at a CAGR of 30.8% over the analysis period.

Mobile edge computing allows faster and more flexible deployment of various services and applications for customers. The technology combines telecommunication networking and IT to help cellular operators in opening radio access networks (RANs) for authorization of third parties such as content providers and application developers. The access to cloud services and resources also allows emergence of new applications to support smart environments.

Hardware, one of the segments analyzed in the report, is projected to record 29.3% CAGR and reach US$2 Billion by the end of the analysis period. After a thorough analysis of the business implications of the pandemic and its induced economic crisis, growth in the Software & Services segment is readjusted to a revised 35.4% CAGR for the next 7-year period.

The U.S. Market is Estimated at $242.5 Million in 2021, While China is Forecast to Reach $173.5 Million by 2026

The Mobile Edge Computing market in the U.S. is estimated at US$242.5 Million in the year 2021. China, the world`s second largest economy, is forecast to reach a projected market size of US$173.5 Million by the year 2026 trailing a CAGR of 35.8% over the analysis period. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 25.9% and 29.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 27.3% CAGR.

The market is presently witnessing steady growth also fuelled by the factor of aggressive investment of market players in developing cutting-edge technologies and providing more effective solutions to consumers. Factors including growing load on global cloud infrastructure and increase in intelligent application numbers are also fuelling market growth for mobile edge computing.

Story continues

Growing need for enhancing QoE (Quality of Experience) for end users and increasing ultra-low latency demand are also fuelling demand growth for MEC solutions. MEC aids real time applications in the processes of data analysis and processing. 5G network and emergence of several new languages and frameworks for IoT solutions would also offer major market growth opportunities over the coming years. Location based services is anticipated to report one of the strongest growths of all services over the upcoming years due to greater efficiencies, reduced costs and increasing requirement of enterprises to provide enhanced QoE.

Nonetheless, mobile edge computing necessitates more hardware locally which leads to an increase in maintenance costs, a factor with the potential to hinder anticipated growth for the market. Also, despite being fairly safe, edge computing necessitates constant updating and monitoring because cyber-attacks are also becoming increasingly sophisticated.

There is also dearth of skilled labor for handling the technology which is highly complex. Lack of deployment capability and required infrastructure could also restrain growth in the market.

Key Topics Covered:

I. METHODOLOGY

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEW

Influencer Market Insights

World Market Trajectories

Impact of Covid-19 and a Looming Global Recession

An Introduction to Mobile Edge Computing: Bringing Storage & Computing Closer to Edge of Network

Organizations Influencing Mobile Edge Computing Industry

Mobile Edge Computing Holds Compelling Merits and Supports New Applications

Mobile Edge Computing Emerges as Key Technology to Reduce Network Congestion

Market Overview & Outlook

Network Benefits and Performance Gains Enable Mobile Edge Computing Market to Post Healthy Growth

Key Issues Related to Mobile Edge Computing

Market Analysis by Component

Application Market Analysis

IT & Telecom: The Largest Vertical Market

Transformation of the Telecom Industry with MEC

Regional Analysis

Competitive Scenario

Recent Market Activity

Mobile Edge Computing - Global Key Competitors Percentage Market Share in 2022 (E)

Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2022 (E)

2. FOCUS ON SELECT PLAYERS (Total 52 Featured)

Adlink Technology Inc.

Advantech Co., Ltd.

AT&T Inc.

Gigaspaces Technologies Inc.

Huawei Technology Co. Ltd.

Intel Corporation

Juniper Networks Inc.

Nokia Corporation

Saguna Networks Ltd.

SK Telecom Co. Ltd.

SMART Embedded Computing

Telefonaktiebolaget LM Ericsson

ZephyrTel Inc.

ZTE Corporation

3. MARKET TRENDS & DRIVERS

Rise in IoT Ecosystem, the Cornerstone for Future Growth

Rising Demand for High-Performance Mobile Applications Bodes Well for MEC in Telecommunication Sector

Percentage of Time Spent on Mobile Apps by Category for 2020 by Category

5G Networks to Inflate Market Demand

Breakdown of Network Latency (in Milliseconds) by Network Type

Accelerating Pace of Connected Care Adoption Drives Opportunities for Mobile Edge Computing

Opportunities in Retail Sector

Mobile Edge Computing to Gain Traction in BFSI

Mobile Edge Computing Presents Landmark Technology for Media & Entertainment

Low Latency & High Bandwidth Needs Create Ample Demand

Edge-Powered Computing Offers Intriguing Advantages for Location-Based Applications

Opportunities in Video Surveillance Ecosystem

Reliable Data Analytics with Mobile Edge Computing

Mobile Edge Computing Marks Paradigm Shift for Mobile Cloud Computing

4. GLOBAL MARKET PERSPECTIVE

III. REGIONAL MARKET ANALYSIS

IV. COMPETITION

For more information about this report visit https://www.researchandmarkets.com/r/k9gjd5

View source version on businesswire.com: https://www.businesswire.com/news/home/20220513005362/en/

Contacts

ResearchAndMarkets.comLaura Wood, Senior Press Managerpress@researchandmarkets.com

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

View original post here:
Global Mobile Edge Computing Market Trajectory & Analytics Report 2022: Accelerating Pace of Connected Care Adoption Drives Opportunities -...

Cloud Computing Technologies Market to Witness Massive Growth by 2029 | Amazon.com, Inc., Microsoft Corporation – Digital Journal

Written by admin on May 8, 2022 — Leave a Comment

New Jersey, N.J., May 8, 2022 A2Z Market Research published new research on Global Cloud Computing Technologies Market covering the micro level of analysis by competitors and key business segments (2022-2029). The Global Cloud Computing Technologies explores a comprehensive study on various segments like opportunities, size, development, innovation, sales, and overall growth of major players. The research is carried out on primary and secondary statistics sources and it consists of both qualitative and quantitative detailing.

Emerging technologies such as artificial intelligence (AI) and machine learning are facilitating cloud expansion by enabling businesses to harness the capabilities of AI. The COVID-19 pandemic has become a huge economic challenge for the world. Remote work has become the latest trend, and it is expected to remain so in the long term, as organizations, managers, and employees continue to opt for it due to the epidemic.

Get PDF Sample Report + All Related Table and Graphs @:

https://www.a2zmarketresearch.com/sample-request/640239

Some of the Major Key players profiled in the study are Amazon.com, Inc., Microsoft Corporation, Google LLC, Oracle, Cisco Systems, Inc., Alphabet Inc., Salesforce.com, Inc., SAP SE, Dell Technologies Inc., IBM, Alibaba Group Holding Limited, Rackspace Technology, Inc., Adobe Inc.,

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Cloud Computing Technologies market. This report is a consolidation of primary and secondary research, which provides market size, share, dynamics, and forecast for various segments and sub-segments considering the macro and micro environmental factors. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitutes, and the degree of competition prevailing in the market.

Global Cloud Computing Technologies Market Segmentation:

Market Segmentation: By Type

by ServiceInfrastructure as a Service (IaaS)Platform as a Service (PaaS)Software as a Service (SaaS)by DeploymentPublic CloudPrivate CloudHybrid Cloud

Market Segmentation: By Application

BFSIIT and TelecommunicationsRetail and Consumer GoodsManufacturingEnergy and UtilitiesHealthcare and Life SciencesMedia and EntertainmentGovernment and Public SectorOthers

Key market aspects are illuminated in the report:

Executive Summary: It covers a summary of the most vital studies, the Global Cloud Computing Technologies market increasing rate, modest circumstances, market trends, drivers and problems as well as macroscopic pointers.

Study Analysis: Covers major companies, vital market segments, the scope of the products offered in the Global Cloud Computing Technologies market, the years measured and the study points.

Company Profile: Each Firm well-defined in this segment is screened based on a products, value, SWOT analysis, their ability and other significant features.

Manufacture by region: This Global Cloud Computing Technologies report offers data on imports and exports, sales, production and key companies in all studied regional markets

Market Segmentation: By Geographical Analysis

The Middle East and Africa (GCC Countries and Egypt)North America (the United States, Mexico, and Canada)South America (Brazil etc.)Europe (Turkey, Germany, Russia UK, Italy, France, etc.)Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

For Any Query or Customization: https://a2zmarketresearch.com/ask-for-customization/640239

The cost analysis of the Global Cloud Computing Technologies Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

Key questions answered in the report include:

Table of Contents

Global Cloud Computing Technologies Market Research Report 2022 2029

Chapter 1 Cloud Computing Technologies Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Cloud Computing Technologies Market Forecast

Buy the Full Research Report of Global Cloud Computing Technologies Market @: :

https://www.a2zmarketresearch.com/checkout

If you have any special requirements, please let us know and we will offer you the report as you want. you can also get an individual chapter-wise sections or region-wise report versions like North America, Europe or Asia.

About A2Z Market Research:

The A2Z Market Research library provides syndication reports from market researchers around the world. Ready-to-buy syndication Market research studies will help you find the most relevant business intelligence.

Our Research Analyst Provides business insights and market research reports for large and small businesses.

The company helps clients build business policies and grow in that market area. A2Z Market Research is not only interested in industry reports dealing with telecommunications, healthcare, pharmaceuticals, financial services, energy, technology, real estate, logistics, F & B, media, etc. but also your company data, country profiles, trends, information and analysis on the sector of your interest.

Roger Smith

1887 WHITNEY MESA DR HENDERSON, NV 89014

[emailprotected]

+1 775 237 4147

Google’s cloud group forms Web3 team to capitalize on booming popularity of crypto – CNBC

Written by admin on May 8, 2022 — Leave a Comment

Thomas Kurian, chief executive officer of cloud services at Google LLC, speaks during the Google Cloud Next event in San Francisco on April 9, 2019.

Michael Short | Bloomberg | Getty Images

Google's cloud unit is forming a team to build services for developers running blockchain applications as the company tries to capitalize on the surging popularity of crypto and related projects.

Amit Zavery, a vice president at Google Cloud, told employees in an email Friday that the idea is to make the Google Cloud Platform the first choice for developers in the field.

"While the world is still early in its embrace of Web3, it is a market that is already demonstrating tremendous potential with many customers asking us to increase our support for Web3 and Crypto related technologies," he wrote.

Pioneers of Web3 have created a set of decentralized and peer-to-peer systems that they hope will form the next generation of the internet. It's a philosophy that challenges the current state of the web, controlled by massive corporations like Amazon, Google and Facebook parent Meta Platforms.

Google wants to offer back-end services to developers interested in composing their own Web3 software as the company battles for market share in cloud infrastructure against Alibaba, Amazon and Microsoft.

"We're not trying to be part of that cryptocurrency wave directly," Zavery told CNBC in an interview. "We're providing technologies for companies to use and take advantage of the distributed nature of Web3 in their current businesses and enterprises."

Zavery, a former Oracle executive, joined Google's cloud group in 2019, months after Google tapped Thomas Kurian, Oracle's president of product development, to be the next head of its cloud unit.

In building an in-house team for Web3 tools, Google is taking its next step to prove its commitment to the market. In January, Google's cloud unit revealed plans for a Digital Assets Team to work with customers, following the emerging growth of non-fungible tokens, or NFTs. The company said it was looking at how customers could make payments with cryptocurrencies.

Going forward, Google could devise a system other companies could employ to make blockchain data easy for people to explore, while simplifying the process of building and running blockchain nodes for validating and recording transactions, Zavery said. He added that Google's tools can work in other computing environments, such as Amazon Web Services.

Enthusiasm around bitcoin, the most established cryptocurrency, has tapered off this year as investors have turned away from risky assets. As of late Thursday, bitcoin was down 21% so far in 2022, underperforming the S&P 500, which has dropped about 13%.

But blockchain applications continue to find their way into the mainstream and have increasing relevance in industries such as financial services and retail, said Zavery.

Nike CEO John Donahoe told analysts on a conference call in March that the shoe company plans to build Web3 products and experiences. Warner Music Group is also interested.

"From collectibles to music royalties, Web3 represents an exciting future for the music industry that will help our artists reach millions upon millions of new fans in interesting and innovative ways," CEO Steve Cooper said on the company's first-quarter earnings call.

James Tromans, a former Citigroup executive who arrived at Google in 2019, will lead the product and engineering group and report to Zavery. The team will bring together employees who have been peripherally involved in Web3 internally and on their own, Zavery said.

Google trails Amazon and Microsoft in cloud computing, but the business is growing faster than its core advertising unit. Alphabet CFO Ruth Porat said last week that the fastest growth in head count is inside the cloud division.

WATCH: Crypto-based web3 remains in 'dial-up' phase, says Unstoppable Domains' Sandy Carter

Visit link:
Google's cloud group forms Web3 team to capitalize on booming popularity of crypto - CNBC

CoreStack partners with Persistent Systems to help enterprises automate their cloud operations – Help Net Security

Written by admin on May 8, 2022 — Leave a Comment

CoreStack unveiled a global partnership with Persistent Systems. CoreStacks AI-powered cloud governance solution will help Persistent Systems customers accelerate digital transformation using automation and orchestration.

Cloud computing continues to grow at a rapid pace and enterprise customers are migrating mission critical applications to cloud as part of their transformation journey. Customers are increasingly looking for better ways to automate and streamline their cloud operations, implement cloud cost management and enhance compliance and security posture across the multiple cloud environments that they operate.

CoreStacks AI-powered multi-cloud governance solution has provided customers with transformational outcomes with its next-gen cloud governance fabric, such as a 50 percent increase in cloud operational efficiencies, a 40 percent decrease in cloud costs, and a 100 percent compliance with security standards. CoreStacks proactive and preemptive cloud governance provides a 360-degree broad and deep visibility across financial operations (FinOps), security operations (SecOps), and cloud operations (CloudOps) in an integrated single pane of glass.

We are looking at enhancing PIOps, our intelligent operations framework, to enable transformation using AI-driven automation and orchestration, said Nitha Puthran, SVP Cloud, Infrastructure & Security at Persistent. The addition of CoreStacks advanced cloud governance to PIOps amplifies our ability to transform existing operational processes and better support multi-cloud environments.

The Persistent Intelligent Operations Solution (PIOps) is a framework comprised of cutting-edge technologies integrated across Infrastructure, Applications, Collaboration, and Cloud, that enables operational transformation. CoreStacks AI-based platform, along with the existing framework, will enable seamless multi-cloud management.

With enterprises pouring in tremendous investment in technology, particularly in cloud computing, across their lines of business, its critical to leverage the power of next-gen CloudOps to ensure speed to market, said Ezhilarasan Natarajan, CEO at CoreStack. We are thrilled to partner with Persistent Systems to help their large enterprise customer base with digital transformation across IT and lines of business through the use of AI-powered cloud governance, automation, and orchestration.

Global $2.5 Billion Crowdsourced Testing Markets to 2027: Adoption of Cloud Computing to Enhance Device Virtualization and Tester Support – Yahoo…

Written by admin on May 8, 2022 — Leave a Comment

Company Logo

Global Crowdsourced Testing Market

Dublin, May 05, 2022 (GLOBE NEWSWIRE) -- The "Crowdsourced Testing Market by Testing Type (Performance Testing, Functionality Testing, Usability Testing, Localization Testing, and Security Testing), Platform, Organization Size, Deployment Mode, Vertical and Region - Global Forecast to 2027" report has been added to ResearchAndMarkets.com's offering.

The global Crowdsourced testing market size to grow from USD 1.6 billion in 2022 to USD 2.5 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 9.4%

The increase in the number of devices, operating systems, and applications is one of the key drivers for crowdsourced testing, With the numerous combinations of mobile devices and operating systems being used, companies are finding possible reasonable approaches to strategize the testing of their applications on all these possible combinations to provide the best User Experience (UX). Thus, investing in innovative end-user testing solutions, such as crowdsourced testing, to curtail the need for a feature-rich and customer-centric product offering.

In a short time, the COVID-19 outbreak has affected markets and customer behaviors and substantially impacted economies and societies. Healthcare, telecommunication, media and entertainment, utilities, and government verticals function day and night to stabilize conditions and facilitate prerequisite services to every individual. The telecom sector, in particular, is playing a vital role across the globe to support the digital infrastructure of countries amid the COVID-19 pandemic.

According to Fujitsu's Global Digital Transformation Survey, offline organizations were damaged more, while online organizations witnessed growth in online demand and an increase in revenue. 69% of the business leaders from online organizations have indicated that they witnessed an increase in their business revenue in 2020. In contrast, 53% of offline organizations saw a drop in revenues.

The Localization testing segment to have a higher CAGR during the forecast period

Organizations are developing software that can be released for users present across the globe. Hence, they implement localization testing that tests the software for compliance with the requirements of the target market. Through localization testing, organizations can evaluate the product based on the language and cultural standards and whether it is tailored as per the existing accuracies or not.

With localization testing, organizations can ensure that their apps are as per the required standards and easy to use for their target audience, irrespective of their geographic presence. Crowdsourced testing provides a hassle-free and cost-effective way to test the app or website on the multiple target demographics, globally.

Retail in vertical segment to account for larger market size during the forecast period

Retailers are now doing business via omnichannel retailing, i.e., through their online, mobile, and point-of-sale technologies. Hence, to remain relevant in the fast-evolving vertical, the quality of these channels is crucial. The success of omnichannel retailing is assessed by security, performance, and delivery offered by them.

Story continues

However, retailers investigate their retail systems through the consumer's perspective for enhancing their experience across all the channels available for achieving omnichannel success. Hence, crowdsourced testing is implemented by retailers across the globe to optimize the offerings and stay ahead in the highly competitive market.

Among regions, APAC to hold higher CAGR during the forecast period

The growth of the crowdsourced testing market in APAC is highly driven by the rapid digitalization of enterprises across the region. Enterprises across APAC are working effortlessly on taking up digital transformation, majorly for streamlining their operations and improving the customer experience.

Indicating that spending on software is also expected to grow to keep with up with rising customer demands in terms of online accessibility of services from enterprises. Hence, this rapid investment in technologies and providing online services to the customer is expected to drive the growth of the crowdsourced testing market in APAC.

With the rising digital transformation and offerings, consumer expectations have also changed in terms of timeline, emphasizing on speed and performance of the software used by them. Enterprises in APAC are going for innovative solutions to testing, such as crowdsourcing, for ensuring better UX for customers.

Premium Insights

Increasing Number of Devices, Operating Systems, and Applications for Scaling Quality Assurance to Drive Market Growth

Retail Vertical to Account for the Largest Market Share During the Forecast Period

Large Enterprises to Lead Market Growth in 2022

Crowdsourced Testing Cloud Deployment Mode to Lead Market Growth in 2022

Functionality Testing to Account for the Largest Market Share During the Forecast Period

Web Crowdsourced Testing to Lead Market Growth During 2022-2027

Asia-Pacific to Show Fastest Growth Rate During the Forecast Period

Canada to Account for High Growth During the Forecast Period

Market Dynamics

Drivers

Increase in the Number of Devices, Operating Systems, and Applications

Need for Scaling Quality Assurance of Software for Enhancing Customer Experience

Requirement for Adopting Cost-Effective Software Development Process

Need to Fill the In-House Skill Gap with Crowdsourced Testers During COVID-19

Restraints

Opportunities

Challenges

Industry Trends

Case Study Analysis

Case Study 1: with the Help of Rainforest Qa Cireson to Cut Qa Testing Time from Weeks to Hours

Case Study 2: High-Growth Fintech App Ramps Up a Global Testing Operation in Two Weeks with Testlio

Case Study 3: Soundcloud Paves Road to Revenue with Mobile Testing with the Help of Test Io

Case Study 4: Specsavers Saw Testing Timescales Shrink and Qa Improve with Digivante

Case Study 5: Simplot Embraced Crowd Testing for Its Latest Venture Using Crowdsprint Crowd Testing Platform

Regulatory Bodies, Government Agencies, and Other Organizations

General Data Protection Regulation

Sarbanes-Oxley Act of 2002

Cloud Standard Customer Council

System and Organization Controls 2 Type Ii Compliance

Iso/Iec 27001

Payment Card Industry Data Security Standard

Health Insurance Portability and Accountability Act

Federal Information Security Management Act

Gramm-Leach-Bliley Act

Crowdsourced Testing Market: Patent Analysis

Document Types of Patents

Patents Filed, 2019-2022

Innovation and Patent Applications

Total Number of Patents Granted in a Year, 2019-2021

Top Applicants

Top Ten Companies with the Highest Number of Patent Applications, 2019-2021

Company Profiles

Major Players

Startups/SMEs

Global App Testing

Applause

Synack

Testbirds

Rainforest

Digivante

Testlio

Crowdsprint

Mycrowd Qa

Ubertesters

Qa Mentor

Crowd4Test

Testunity

Usabitest

Stardust

Impactqa

Cobalt

Bugcrowd

Qualitrix

For more information about this report visit https://www.researchandmarkets.com/r/qha6z0

Attachment

See original here:
Global $2.5 Billion Crowdsourced Testing Markets to 2027: Adoption of Cloud Computing to Enhance Device Virtualization and Tester Support - Yahoo...

I am Just an Architect With His Head in the Cloud – hackernoon.com

Written by admin on May 8, 2022 — Leave a Comment

"Cloud Architect" has become a trendy title in the information technology sector. Ask many people the career path they want, and they'll respond "cloud architect." But, what is a cloud architect, really? People often repeat the buzzy phrase without knowing what it entails. Not to worry though, we're here to help you clear the air.

Copywriter, community manager, editor. Interested in fintech, investing, fund management.

"Cloud Architect" has become a trendy title in the information technology sector.

Ask many people the career path they want, and they'll respond "cloud architect."

But, what is a cloud architect, really? People often repeat the buzzy phrase without knowing what it entails. Not to worry though, we're here to help you clear the air.

Let's first define what cloud architecture generally means. Cloud architecture refers to the various components that form a cloud computing system.

It refers to how individual technologies combine to create cloud environments where numerous computers share resources from a single network.

A cloud architect is a person responsible for conceptualizing and developing cloud architecture. They're responsible for converting the technical concepts and requirements for a project into a working cloud system.

A cloud architect is typically in charge of a company's cloud strategy, a very delicate role. Their duty is critical because failure in a company's cloud system can affect all the aspects of its business.

Hence, enterprises often seek highly-skilled cloud architects and pay top dollar for them. It's no surprise that the profession of a cloud architect has become trendy as of late, given the prestige and monetary resources businesses now assign to them.

The cloud computing sector is already huge yet growing enormously. According to research firm Markets and Markets, the global cloud computing market is expected to grow from $445 billion in 2021 to $947 billion in 2026. Hence, cloud architects are well-positioned to ride this growth wave. It's a wise career choice.

You've heard good things about the profession of a cloud architect. But, how can you become one? There are several vital steps to take to become one, and it starts with some initial skills you must have.

Every cloud architect must be well versed in computer programming. The most common coding languages used in cloud architecture are Java, Python, and C++, but there are many more you can learn.

You need computer programming skills to convert technical requirements into real projects. Likewise, a good cloud architect should be able to program quickly to create a proof of concept for the desired product.

You can't create a reliable cloud solution without sufficient knowledge of computer networking. A good cloud architect must know how to interact with the various components that make up a computer network.

For example, you should know how to use a content delivery network for geographic distribution or a virtual private cloud (VPC) to isolate parts of your cloud network.

Security is essential to any cloud network. Cloud computing has brought many benefits, but one of its drawbacks is opening up enterprises to a higher risk of compromise.

According to IBM, the average cost of a cloud breach is $4.2 million, so you want to avoid that.

Every cloud architect must implement advanced security measures to protect their enterprise from compromise.

Every cloud architect must know how to work with various database technologies.

Many data storage options are available, so you're free to choose anyone. For example, you can use Amazon S3 for object storage or Hadoop clusters for analyzing large amounts of structured data.

A good cloud architect must be well-versed with general or specialized cloud platforms. For example, a cloud architect in a finance firm should be familiar with the MQL5 Cloud Network, a specialized distributed network for finance experts developing and deploying automated trading models.

The MQL5 Cloud Network reached a capacity of 34,000 agents in January 2022, according to Bloomberg. The network continues to grow due to users of MQL5.community, selling idle time of their computers' processors.

The above list isn't exhaustive. There are many other things a cloud architect must know, but we listed the most basic ones.

It's essential to learn the skills required for a cloud architect. But, many people won't believe you have the skills if you don't have evidence to back it up. Professional certificates are the easiest way to signal your cloud architecture expertise to prospective employers.

The highly sought-after certificates in the cloud industry are from three cloud providers; Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

AWS

Amazon Web Services (AWS) is the world's biggest cloud computing provider by volume and sales. Hence, enterprises around the globe give greater credence to official AWS certifications.

AWS currently offers 11 certificates covering both basic and specialty cloud topics.

They're four certificate tiers; Foundational, Associate, Professional, and Specialty. Foundational covers six months of AWS knowledge, Associate covers one year, Professional covers two years, and Specialty for an unspecified amount of time.

Microsoft Azure

Azure is the second-biggest cloud provider trailing AWS. It's the cloud computing unit of tech giant Microsoft.

Microsoft offers 12 cloud certifications with 14 exams classified into three levels; Fundamental, Associate, and Expert. Some are role-based, including Azure Administrator, Azure Solution Architect, Azure AI Engineer, etc.

A Microsoft Azure certification will help you understand how to use the cloud platform effectively.

Google Cloud Platform

Google Cloud Platform (GCP) is the third-biggest cloud provider, owned by tech giant Google. The company currently offers ten role-based certifications, including for a specialized Cloud Architect.

The Cloud Architect certification takes you through the fundamentals of the Google Cloud Platform, including Kubernetes, BigQuery, App Engine, and Cloud Firestore. It'll give you the chance to build and deploy solutions in live GCP environments.

Getting a cloud certification isn't always easy, mainly for high-level ones. Endeavor to study as required to pass the certification exams.

Enterprise spending on cloud computing is ballooning. According to Gartner, more than half of enterprise IT spending by 2025 will be on cloud services.

You can observe virtually endless growth in this sector. A certification from a leading cloud provider paired with your innate cloud computing knowledge will open up many opportunities.

With sufficient cloud computing knowledge and certification to prove it, you can offer your services to employers. The demand is outsized, so you shouldn't have problems finding a job.

The IT world is your oyster as a certified cloud developer. You have endless opportunities to apply your expertise in this sector.