Monthly Archives: July 2023

Thisarticleis fromBig Technology, a newsletter by Alex Kantrowitz.

Amazons absence fromthis years generativeA.I. bonanza has been a bit puzzling. The company invented Alexa, intuiting peoples interest in speaking with computers, yet when OpenAI released ChatGPT it seemed to cede the territory.

But rather than sitting out the game, Amazon is waiting to play on its terms. Instead of building one A.I. product, it wants a piece of all of them. And its not shy about its ambition.

I wouldnt be at all surprised if just the A.I. part of our cloud-computing business was larger than the rest of AWS combined in a couple years, Amazon Web Services vice president Matt Wood told me in an interview at the cloud services summit this week.

Rather than releasing just one product or a large language model by itself, Amazon wants to enable companies building with generative A.I. to create any product using any model. Put another way, instead of developing one ChatGPT or GPT-4, Amazon wants to empower every would-be ChatGPT developer to use any GPT-like model and get going. Amazon will supply the model access, customization, and raw computing power to developers, and make its money as they build.

It is a great business opportunity, said Andrew Lipsman, principal analyst at Insider Intelligence. Its smart strategically to focus on where the profits are.

At the core of Amazons effort is a new product called Bedrock. Available inside AWS, Bedrock lets developers select from a range of A.I. models, including from Anthropic, AI21 Labs, and Stability AI. Using these models, developers can build their own products, like A.I. chatbots, and then run them on AWS infrastructure.

Bloomberg, for instance, built BloombergGPT, a bot for financial information, on a Bedrock precursor called SageMaker. To do it, the company took four decades of unstructured financial data and analytics, loaded them into AWS, added some other training material, and tuned the model. Bedrock should make such a process faster, with preloaded models in a catalog. Once a product is built, Amazon will continue to support it. When people chat with BloombergGPT, for instance, it uses Amazons storage to work, so Amazon gets a slice every step of the way.

We get paid by providing compute capacity to actually do the model training, and for providing the access to the large amounts of storage that are needed, said Wood. You may train a model once a month, once a week, but youre going to be running predictions and inference and chatting with that model hundreds, thousands, tens of thousands of times a day.

Competitors including Microsoft and Google offer similar capabilities, but Amazon has a few advantages. Without its own consumer chatbot, or a multibillion-dollar attachment to an A.I. research house, its pitching itself as a company with more neutrality and pragmatism than its peers. This could be compelling for developers looking for more customizability or assurance that their data stays at home, a pressing issue for many. Its also helpful for Amazon that so many internet companies already have their data on its cloud.Youd be surprised how many customers have exabytes of data on AWS, said Wood. An exabyte is 1 billion gigabytes.

Amazon does have its own A.I. model, called Titan, that it offers alongside its menu of others. So its not entirely neutral. The company also develops its own A.I.specific chips, which underlie some of the computing, but it doesnt sell them like Nvidia does. Both efforts are meant to enhance the core service offering.

Long ago, Amazon learned theres value to being first. It established its cloud-services lead early and still dominates. But on A.I., its playing catch-up as Microsoft appears to be in the lead, with11,000 customers using its generativeA.I. servicevia a partnership with OpenAI.

Amazon is, at least, joining right after the starting gun, with a plan that could work no matter what model or product wins. We are three steps into a marathon race, said Wood. And I dont think anybody without a smile on their face could call a winner three steps into a marathon, right?

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Amazon Web Services isn't trying to win the A.I. race. It wants to own the road. - Slate

Steven Tamm is a technology adviser to Spin.AI and a former Salesforce CTO with extensive experience in cloud computing, e-commerce, virtualization, developer tools, cybersecurity, compliance and SaaS.

Managing security across multiple SaaS cloud deployments is becoming more challenging as the number of zero-day and ransomware attacks continues to rise. In fact, recent research reveals that a staggering 76% of organizations fell victim to a ransomware attack in the past year.

Its no secret that protecting data is hard, and with the rise of cloud technologies, its becoming harder. But when it comes to cloud SaaS application risk, what does that look like? And what actionable steps can teams and IT pros take to help mitigate those risks at their organization? In this article, Im going to explore those questions and provide some insights.

Modern organizations encounter a variety of SaaS challenges, including the absence of configuration standards, multiple APIs, and user interfaces (UIs) with varying access levels and potential data leaks across interconnected systems. Securing structured data in CRM applications, communication data in messaging platforms, and unstructured data from file providers is already difficult.

However, when these systems are sourced from different vendors, it becomes even more challenging to detect and prevent attacks in a timely manner. The interconnected nature of these systems makes tracking data provenance difficult and facilitates broad spread of malware and ransomware.

This challenge is further exacerbated when organizations extend their systems to include external users. With expanding footprints, the inadvertent leakage or destruction of sensitive data becomes a significant concern. Popular platforms like Salesforce Communities, Slack Connect, Microsoft Teams, Microsoft 365, and Google Drive create a complex web of identity, permissions, and integration controls.

Unfortunately, most endpoint management tools on the market were designed for a pre-cloud, pre-bring-your-own-device (BYOD) era, making them inadequate for managing the modern SaaS landscape. So how do you take control?

When managing risk in the cloud, its crucial to select IT and security solutions that truly address the intricacies of the deployed SaaS applications and were born 100% in the cloud without any legacy on-premises components. The good news is that vendors are developing innovative solutions to help IT and security teams do this. But its essential to explore the options and consider the following:

First, do they go beyond basic factors such as OAuth scopes, login IP addresses, and high-level scores, and instead delve deeper into data usage patterns and even examine the code of all integrations?

Second, many major SaaS vendors provide event monitoring, antivirus protection, and basic data leak prevention as check boxes. But these features often fall short when it comes to preventing and remediating data attacks because of miscalibrated thresholds in alert systems and logs that are not tuned for specific organizations. That results in alert overload and fatigue. Its important to understand how a solution improves risk scoring and alert prioritization.

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Strengthening security in a multi-SaaS cloud environment - TechCrunch

This article was originally published on Network Computing.

FinOps is gaining steam, but companies shouldn't just forge ahead. They should carefully consider their approach to FinOps. The tech which garners most of the headlines is only one ingredient. The amount of data cloud services generate is so complex that people and processes are just as important.

Related: Why FinOps Is Key to Cloud Cost Optimization

Think about what FinOps has to do:

The human brain can't possibly do all of this. So, today's typical human tools manual processes and spreadsheets are not up to the task.

Related: How FinOps Can Help Optimize Cloud Spending

Integration:Cost management requires integration to discover shadow IT and evaluate usage across hundreds of SaaS apps, as well as private and publicIaaS. Integration is crucial so you can understand, in granular detail, cloud usage. In turn, this helps put boundaries around spending and can track dynamic pricing. FinOps should work in synch with financial management systems and should be able to produce general ledger files.

Real-time AI, ML, behavioral analytics (BA), and predictive analytics (PA):Handling all the data that the cloud produces means FinOps platforms must handle the cloud usage data that comes along for the ride. Multiple times a day, you'll have to crunch expansive data sets, track dynamic pricing (which can change daily), and compare your service configurations to millions of other pricing schemas all while normalizing cost data across multiple providers. AI, ML, BA, and PA can help with this task.

Cloud optimization and CEM working together:FinOps requires cloud service usage optimization and expense management to work in unison. Cloud optimization tools alone can only go so far. Yes, you need usage optimization tools that identify waste and unused resources, recommend lower-coststorage tiers, and help with rightsizing. But you also need an expense management platform to handle and automate invoice processing, cost allocations, and forecasting. And you need it all automated with a single-pane view, so you leave the manual headaches in the past.

Automated response (closed-loop automation):Insights are useless if you can't act. FinOps solutions and tech platforms should generate more than recommendations. They should be integrated into IaaS service control panels so you can approve a recommendation and ensure the system makes suitable service modifications automatically, which speeds up the time to savings.

How a tech research firm moved from manually managing the cloud to FinOps and started controlling multi-cloud infrastructure costs.

Talking about FinOps in the abstract is one thing. Seeing it at work is something else.

Senior IT and financial leaders at a technology research firm faced visibility, management, and cost control challenges after migrating much of the company's network infrastructure to the cloud. As their digital transformation matured, they found the cloud resource intensive.

Every month, IT financial analysts manually evaluated millions of dollars in expenses with little control over costs and invoice information. Analysts had to study tens of thousands of rows of billing information to decipher which departments were using each cloud service. Allocating each cost to its associated department was also a manual process. With roughly 500 departments, this administrative work had mushroomed into a full-time job for a larger group of employees. Because this work had become so laborious, finding the time to optimize costs seemed nearly impossible.

The company had been using a third-party cloud optimization tool for several years. As a point solution, it could highlight ways to optimize costs but couldn't automate IaaS financial management tasks. The company asked Tangoe to solve both problems, replacing the existing tool with one comprehensive FinOps solution for improved productivity and cost savings and do it all in 30 days, just before their contract expired.

Using the Tangoe One Cloud for IaaS solution, expense management experts implemented a proof-of-concept that worked across Amazon Web Services, Microsoft Azure, as well as Google Cloud Platform to deliver what the existing tool could not:

The company recognized productivity gains in both IT and financial departments. What used to take IT financial analysts an estimated 40 hours of manual work every week or month now happens in just minutes.

Today, company leaders have one complete solution giving them the peace of mind that comes from knowing their cloud investments are being utilized responsibly, and their spending is under control across their multi-cloud estate.

Taking a DIY approach can be risky unless you can build all these tools in-house with homegrown systems.

You need a sophisticated technology platform behind your cost management program and team. Tangoe is one such system. I recently wrote a buyer's guide titled, What To Look For In A Cloud Expense Management Solution. You can access ithere.

Zeus Kerravala is the founder and principal analyst with ZK Research.

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The Machines Behind the FinOps Curtain: Operationalizing Your Strategy with AI - ITPro Today

New OracleCloud Native SCCA Landing Zone solution reduces barriers to cloud adoption and enables mission owners to rapidly build compliant architectures

AUSTIN, Texas, July 31, 2023 /PRNewswire/ -- Oracle Cloud Infrastructure (OCI) has introduced a new Secure Cloud Computing Architecture (SCCA) for the U.S. Department of Defense (DoD). The solution helps make security compliance and cloud adoption for mission-critical workloads easier, faster, and more cost effective by using a framework of cloud native services.

SCCA is a DoD security frameworkdesigned to provide a standard approach for boundary and application-level security for the Defense Information Systems Agency(DISA) Impact Level 4 and 5 data hosted in commercial cloud environments. Historically, SCCA compliance has required significant investment from DoD mission owners in the form of independent development efforts and third-party software licensing. The cost and time result in a significant challenge during cloud migrations.

Oracle Cloud Native SCCA Landing Zone provides a framework for securely running DoD mission workloads and storing Impact Level 2, 4, and 5 data in OCI government regions. The automation provided by the solution enables DoD mission owners to establish a compliant security architecture in just a few hours or days, instead of months. It uses cloud native infrastructure services, significantly accelerating the time to deployment of mission critical workloads by reducing architecture time and minimizing decision points.

"Oracle Cloud Native SCCA Landing Zone is a game changer for our customers. What we are doing is fundamentally different,"said Rand Waldron, vice president, OCI Global Government Sector. "We will deliver all the capabilities necessary for SCCA completely in native OCI services. Our customers will no longer have to manage multiple licenses, multiple vendor relationships, or multiple kinds of security configurations. Our SCCA solution will provide everything the customer needs to stand up an SCCA-compliant workload in the cloud.".

Learn more about Oracle's new Cloud Native SCCA Landing Zone solution in the OCI SCCA Architecture Guide.

Simplifying and accelerating DoD security complianceThe Oracle Cloud Native SCCA Landing Zone includes baseline configurations, rules, and templates that meet DISA Impact Level 2, 4 and 5 accreditation requirements. This is delivered using a standardized Infrastructure-as-Code (IAC) template that meets a set of SCCA controls in a simplified and repeatable way. Based on Terraform, OCI Landing Zones allow OCI customers to perform one click, best-practice deployments of multiple Oracle services at once. Customers can launch the templates from the Cloud Native SCCA Landing Zone, answer a few simple questions about their configuration, and have an architecture set up same day.

The solution also addresses the four primary technical componentsof the SCCA framework; Cloud Access Point (CAP), Virtual Data Center Security Stack (VDSS), Virtual Data Center Management Service (VDMS), and Trusted Cloud Credential Manager (TCCM). Customers who deploy the secure baseline using the Cloud Native SCCA Landing Zone are provided with an architecture guide, implementation guide, requirements checklist, reference architecture, and best practices to accelerate the accreditation of their application on OCI.

Security, compliance, consistent high performance, and simple, predictable pricingThe Oracle Cloud Native SCCA Landing Zone script and associated technical documentation are provided at no separate or additional charge under a customer's contract. Underlying consumable cloud services used to stand up Oracle Cloud Native SCCA in a customer's tenancy may be billable in accordance with the customer's contract. Oracle Cloud for DoD services are priced at the same, consistent global pricing as Oracle's commercial public cloud regions and meet DISA Impact Levels 2, 4, and 5 and FedRAMP+ authorization standards.

Commercial customers can also take advantage of the automated security posture outlined above. All OCI customers can leverage custom security zones with the SCCA and other OCI Landing Zones that allow organizations to apply security policies and prevent changes that could weaken a customer's security configuration quickly and easily. Learn more about Oracle Landing Zones here.

Oracle Cloud Native SCCA Landing Zone scripts are available within the OCI Console, through GitHub, and from the Hosting and Compute Center (HaCC) website.

Additional Resources

About OracleOracle offersintegrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud.For more information about Oracle (NYSE: ORCL), please visit us atoracle.com.

TrademarksOracle, Java, MySQL, and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company--ushering in the new era of cloud computing.

SOURCE Oracle

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Oracle Introduces First Cloud Native Secure Cloud Computing ... - PR Newswire

Unleashing the Power of Cloud Computing: Revolutionizing Database, Storage, and Backup Software Publishing

The power of cloud computing is transforming the landscape of database, storage, and backup software publishing, revolutionizing the way businesses operate and manage their data. This technological advancement is not just a trend, but a paradigm shift that is reshaping the industry, offering unprecedented opportunities for efficiency, scalability, and innovation.

Cloud computing, at its core, is the delivery of computing services over the internet, or the cloud, rather than using local servers or personal devices. This includes servers, storage, databases, networking, software, analytics, and intelligence. The benefits of this model are manifold, including cost savings, increased productivity, speed and efficiency, performance, and security.

In the realm of database, storage, and backup software publishing, cloud computing is proving to be a game-changer. Traditional methods of data storage and backup involve physical hardware and servers, which can be costly, time-consuming to maintain, and vulnerable to damage or loss. Cloud computing, on the other hand, offers a more efficient and reliable solution. Data is stored in the cloud, which means it can be accessed from anywhere, at any time, and from any device with an internet connection. This not only enhances accessibility but also facilitates real-time updates and collaboration.

Moreover, cloud computing provides scalable storage solutions. Businesses can easily adjust their storage capacity based on their needs, paying only for what they use. This flexibility is particularly beneficial for businesses with fluctuating bandwidth demands. Additionally, cloud services often come with built-in backup and recovery solutions, making them a more secure option for data storage.

The impact of cloud computing on software publishing is equally profound. Software publishers are increasingly turning to cloud-based platforms to develop, distribute, and update their products. This approach allows for faster and more efficient software deployment, as updates and patches can be rolled out automatically, without the need for users to manually download and install them. Furthermore, cloud-based software can be accessed from anywhere, providing users with greater flexibility and mobility.

The shift to cloud computing also opens up new avenues for innovation in software publishing. With the cloud, software developers can leverage advanced technologies such as artificial intelligence (AI) and machine learning to create more sophisticated and intelligent applications. For instance, AI can be used to analyze user behavior and provide personalized recommendations, while machine learning can help improve software performance and functionality over time.

In conclusion, the power of cloud computing is revolutionizing the database, storage, and backup software publishing industry. By offering more efficient, scalable, and innovative solutions, it is helping businesses optimize their operations and stay competitive in the digital age. As cloud technology continues to evolve and mature, we can expect to see even more transformative changes in the way we store, manage, and use data.

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The Power of Cloud Computing: How it's Transforming Database ... - Fagen wasanni

The Department of Defense (DoD) leads adoption of cloud technologies to advance its various missions. As battlefields become more diverse and more dispersed edge computing is essential to support the DoD with insights and threat assessments that enable real-time decision making. To realize the full potential of edge technologies, cloud and edge ecosystems are coming together to support todays warfighters. MeriTalk sat down with Frank Reyes, cloud solutions leader at Maximus, to discuss the DoDs cloud strategy, the future of cloud computing across the DoD, and how industry can partner with the DoD to support cloud integration and achieve mission success.

MeriTalk: With DEOS, Cloud One, Stratus, and others, the Defense Department is taking a multi-cloud approach to cloud computing. What is driving the DoDs cloud strategy?

Reyes: There are three key drivers for the DoDs multi-cloud strategy. The first is interoperability and data portability. The DoD collects, stores, and analyzes vast amounts of data from multiple domain systems. With a multi-cloud approach, it can integrate data from a variety of systems and applications, allowing the data to be accessed and shared more efficiently across the different service branches, commands, and coalition partners. The second driver is agility. The DoD needs to rapidly access its infrastructure and applications to support evolving mission requirements. With a multi-cloud approach, the DoD takes advantage of diverse cloud service offerings to enable rapid provisioning and deployment of mission-critical applications. The third driver is innovation. The DoD recognizes the importance of harnessing emerging technologies including artificial intelligence (AI), machine learning (ML), advanced analytics, Internet of Things, and others to gain a competitive edge. A multi-cloud strategy allows the DoD to tap into innovations being developed by its cloud service providers (CSPs).

MeriTalk: Cloud-native applications are increasingly powerful. How are they helping DoD agencies meet their missions faster?

Reyes: By adopting cloud-native applications and architectures, the DoD can accelerate from monolithic to microservices architectures. This allows the department to develop, deploy, and scale applications faster, respond faster to changing mission needs, and deliver capabilities more efficiently. And, with the real-time data streams, ML algorithms, and predictive analytics baked into most cloud computing platforms, the DoD is able to generate insights from large data sets for better situational awareness and more effective operations.

MeriTalk: From remote sensors to satellites to drones, the DoD is collecting more data at the edge. How is that impacting the DoDs cloud needs and cloud computing capabilities?

Reyes: The DoDs ability to collect data from edge devices has grown exponentially, and cloud computing is currently the best capability that provides the infrastructure, storage capacity, and advanced analytics tools required to accommodate large-scale ingest, rapid analysis, and long-term retention of massive volumes of edge data.

The DoDs cloud needs are also being shaped by the requirements to establish reliable and secure connectivity between edge devices and the cloud infrastructure, especially in environments where backhaul is limited. Real-time or near real-time data transmission from remote sensors, satellites, and drones to the cloud is essential for that timely decision-making. The CSPs now offer a range of hardware that provides secure, high-bandwidth connectivity to facilitate the seamless data transfer between edge devices and the cloud.

And, when you dont have backhaul capability, you need to do your computing at the edge. The DoD is reducing latency, improving response times, and alleviating the burden on centralized cloud infrastructures by adopting more edge computing at the point of collection. This distributed approach enhances the performance of mission-critical applications, enabling real-time decisions.

MeriTalk: As edge computing continues to grow, what can Federal technology leaders do now to prepare for more insights generated at the edge?

Reyes: Leaders should strongly be considering leveraging the global infrastructure, such as edge servers and points of presence locations, closer to where the data is collected. Government can co-invest in these services with CSPs, along with partnering to enhance bandwidth and connectivity, including 5G and low-Earth satellite capabilities. As security is paramount with any device collecting and sharing information at the edge, government should develop security protocols for edge devices and data transmission.

MeriTalk: As the DoD explores use cases for generative AI, how will this affect edge computing and the DoDs cloud capability needs at the edge?

Reyes: Because generative AI involves computationally intensive tasks and requires large foundational models, it will be challenging to use the technology at the edge unless there are edge devices and capabilities to support it. That will require investments in purpose-built edge devices with improved compute capabilities. Improved devices will also allow the DoD to process data collected at the edge before sending it to the cloud for further analysis, reducing the amount of data transferred to the cloud. Another benefit of generative AI at the edge is improved cybersecurity. When sensitive DoD data supporting AI is processed and encrypted locally, the DoD maintains greater control over that data, which helps reduce the risk of unauthorized access.

MeriTalk: Can you share an example of how generative AI can be used in the field with the right cloud computing capabilities to support it?

Reyes: One example is images collected by drones in the field. Currently, drones on a mission collect information and images and send those back to a central location for analysis, which takes time. But, if we add edge computing resources and generative AI technology onto the drone, the device can process the data in near real-time and make inferences based on its training. Moving the compute function and generative AI technology to the edge drastically increases situational awareness and decision-making speed.

MeriTalk: What are some other ways cloud functionality at the edge can support the DoDs mission?

Reyes: Beyond the benefits of real-time data analysis to improve decision time, moving cloud functionality to the edge will be critical in environments with limited connectivity. Cloud at the edge also supports latency-sensitive applications such as precision-guided munitions and unmanned vehicle controls that require extremely low latency for performance. By moving cloud functionalities to the edge, those latency-sensitive applications can be executed locally, minimizing roundtrip time to the offsite cloud and enabling near instantaneous response time.

MeriTalk: The Joint Warfighting Cloud Capability (JWCC) allows the DoD to explore and acquire cloud solutions to serve missions from headquarters to the tactical edge. How can industry support the DoDs evolving cloud needs so it can realize the full potential of advanced edge technologies?

Reyes: First, industry can develop and offer meaningful cloud solutions that are tailored specifically to take advantage of an edge cloud computing infrastructure, cloud-enabled generative AI, and smarter edge devices. Industry can also help enable the seamless integration of those advanced edge technologies with the cloud. Secondly, industry can invest in the development and deployment of edge computing around the world and smaller edge computing infrastructure devices and in establishing standards-based interfaces, protocols, and APIs that enable seamless communication and data exchange between the edge devices and cloud for agencies. The third area is training support. Industry can help DoD personnel gain the necessary skills and knowledge they need to really understand how to extract the value of these new edge devices and cloud computing infrastructure.

MeriTalk: How can Maximus support the DoD with improving cloud capabilities to realize the full potential of edge technologies?

As a Federal systems integrator, we know the cloud and edge very well. With our expertise in cloud computing, we offer tailored solutions integrating cloud and edge ecosystems to enhance the DoDs ability to leverage data at the edge more efficiently. We collaborate with technology teams to design data architectures, implement a data governance framework, and leverage advanced analytics techniques to extract valuable insights from the vast amount of data generated by edge technologies. We then layer on AI and ML capabilities to deliver real-time situational awareness and fast decision-making capabilities. Maximus is also keenly focused on security and compliance. Our Maximus Cloud solution is FedRAMP accredited, and we manage multiple security operations centers throughout government. We can leverage that experience to implement robust security measures ensuring data protection while meeting regulatory standards.

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From Headquarters to the Edge: The Future of Cloud in the Defense ... - MeriTalk

Get to know the cloud computing companies reshaping the industry landscape and empowering organizations in a rapidly evolving digital era.

As businesses and federal government agencies increasingly rely on cloud technologies to fuel innovation, streamline operations, and enhance scalability, the demand for agile cloud computing services skyrocketed. However, this surge in demand has challenged cloud computing companies to stay ahead of the competition and deliver exceptional services. Here, we will delve into the influential cloud computing companies harnessing the power of cloud technology.

Cloud computing refers to the convenient delivery of IT resources via the internet, encompassing a range of services like data storage, servers, databases, networking, and software. The key advantage lies in its pay-as-you-go pricing model. Rather than investing in and managing physical data centers or servers, users have the flexibility to procure technology services from cloud providers.

Cloud service providers offer users a wide array of functionalities and corresponding use cases, such as:

Joseph Cark Robnett Licklider pioneered cloud computing in the 1960s as part of his research on ARPANet. The term cloud computing was coined in 1966 and became associated with distributed computing.

Heres a journey to the evolution of cloud computing:

Federal civilian agencies, the Defense Department, and the Intelligence Community have embraced cloud computing to achieve cost savings and swiftly adopt emerging technologies to support their missions. The implementation of the Cloud First Policy in 2011 by the White House has mandated agencies to consider secure cloud computing options before making new investments, resulting in numerous agencies transitioning their existing IT infrastructures to the cloud.

Here are the notable benefits of cloud computing on businesses:

Operating a large data center can be costly, with an average yearly expenditure ranging from $10 to $25 million. Much of this budget goes to hardware, software, disaster recovery measure, etc. However, the advent of cloud computing has revolutionized this landscape by relieving businesses of these financial burdens. By opting for a cloud service model, companies only pay for the specific resources they utilize, eliminating the need for excessive investment in building and provisioning data centers beyond their actual requirements.

Data recovery from damaged physical services and hard drives can be difficult and sometimes impossible, resulting in significant data loss for businesses, especially those without proper backups. Cloud computing mitigates these concerns through cloud storage that replicates data across multiple locations. If one server or storage location experiences issues, data remains secure with backup copies elsewhere.

Cloud computing offers high code maintainability, promoting efficient coordination across an organization. It achieves this by facilitating the search, reuse, and modification of code from different teams, resulting in improved accuracy in cloud computing. Consequently, maintaining cloud-based systems is relatively straightforward, particularly in large-scale organizations with extensive codebases. Furthermore, cloud-based applications can automatically refresh and update themselves, eliminating the need for manual updates by the IT department.

Navigate the digital storm of 2023 with insights from 6 leading cloud computing companies. Discover how these companies are innovating and adapting to the changing digital landscape.

Note: The following list of cloud computing companies is ranked in no particular order. The selection criteria are based on a variety of factors, including market capitalization, revenue, and overall industry impact. That said, while they are highly regarded in the industry, plenty of other companies also offer exceptional products and services.

SAIC is a leading provider of advanced cloud computing, cybersecurity, and software solutions. It specializes in assisting defense, intelligence, and civilian agencies in achieving their goals through digital transformation.

SAICs CloudScend suite of solutions is specifically designed to help government agencies efficiently managing, modernizing, and migrating their workloads to the cloud. Through a comprehensive range of strategies, services, and products, SAIC supports customers through their cloud modernization journey.

SAICs cloud experts work closely with customers to assess their progress and tailor CloudScend solutions to their needs. This collaborative approach ensures the expedited delivery of customized cloud environments and capabilities, maximizing the benefits of each customers transition to the cloud.

In June 2023, SAIC successfully secured a significant seven-year contract worth $1.3 billion from the U.S. Department of Treasury. Known as the T-cloud contract, it entrusts SAIC with the management of the agencys wide-ranging cloud computing services, which play a vital role in attaining secure IT objectives. Additionally, the contract allows SAIC to consolidate access to cloud services across the entire department. Previously, individual Treasury offices independently procured their own solutions, but this approach was deemed inefficient and ineffective by the department.

CACI offers a comprehensive managed cloud service that empowers organizations to drive innovation and achieve enhanced agility, operational efficiency, and scalability in their cloud computing initiatives.

As an AWS Advanced Consulting Partner and Public Sector Partner, CACI specializes in delivering highly secure and mission-critical cloud solutions tailored to different levels of security classifications. Leveraging their extensive expertise in planning and executing cloud migrations, CACI collaborates with customers to develop robust and compliant cloud architectures that meet regulatory standards.

One notable achievement of CACI is the successful implementation of a DevSecOps pipeline, which played a pivotal role in developing and deploying a cloud-native web application based on microservices. This application seamlessly streams real-time data, featuring geospatial overlays on a map and an activity feed for non-geospatial information. The microservices architecture ensures scalability and adaptability, enabling future support for diverse platforms and devices as customer needs evolve.

In June 2023, CACI International was awarded an Indefinite Delivery/Indefinite Quantity (IDIQ) contract valued at an estimated $1.2 billion from the U.S. Navys Naval Information Warfare Systems Command (NAVWAR). Known as the Spectral contract, this seven-year agreement enables CACI to leverage its considerable expertise in software development and security operations to integrate a range of technologies, including signal intelligence (SIGINT), cybersecurity, and electronic warfare (EW). The objective is to establish flexible and interconnected military capabilities that effectively address emerging threats.

Google is known for its dominant search engine and cloud services. It remains at the forefront of cloud storage technology and has made significant strides in cloud-based machine learning. One of its notable offerings is the Google Cloud Platform, a comprehensive suite of cloud computing services that operates on the same robust infrastructure that powers Youtube and Gmail.

Google organizes the Google Data Cloud & AI Summit, bringing together top professionals from Google Cloud and the data and AI community to converge to delve into cutting-edge advancements in generative AI, databases, data analytics, and business intelligence. This event allows experts to exchange ideas and explore novel approaches to revolutionize customer experiences through modern applications while driving revenue growth and minimizing costs. On the other hand, Google Cloud Next 2023s sessions provide insights into serverless practices, managed Kubernetes, and more.

AWS, also known as Amazon Web Services, is Amazons cloud computing platform that provides various services, including infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS). By using AWS, businesses can access computing power, database storage, and services for delivering content.

AWS pioneered the pay-as-you-go cloud computing model and has maintained its position as the leading provider in the market. Instead of investing in their servers, customers can outsource their data storage to AWS. AWS then organizes its servers into regions and availability zones (AZs), with each region catering to a specific geographical area and containing separate data centers.

AWS has announced its plans for global expansion. As a part of its initiative, AWS has committed to investing $35 billion in constructing new data centers in Virginia by 2040. US-EAST-1, Amazons oldest region established in 2006, holds significant importance as the largest hub for AWS. It comprises six availability and ten local zones spread across multiple data centers.

Furthermore, AWS is actively collaborating with TM Forum to expedite the progress of Open Digital Architecture (ODA), a cloud-native software that enables telecommunications companies to unlock new growth opportunities. In addition to collaborating, AWS contributes to the forums innovation roadmap, which includes enhancing network edge use cases and optimizing 5G monetization strategies.

Microsoft Azure is a comprehensive public cloud computing platform offering a wide range of services, including IaaS, PaaS, and SaaS. It boasts a vast selection of over 200 products and services accessible via the Internet. These offerings encompass domains such as analytics, artificial intelligence and machine learning, containers, databases, and DevOps while providing flexibility to replace or complement existing on-premise servers.

Utilizing Azure can help offload the management and maintenance of hardware, infrastructure, and resources to Microsoft, allowing free access or a pay-per-use basis per your requirements.

This 2023, Microsoft Azure introduced a new series of memory-optimized plans called P*mv3. These plans, including P1mv3, P2mv3, P3mv3, and so on, are designed to offer organizations more flexibility in scaling their memory configuration without the need to pay for additional cores.

The memory and core configurations of these plans vary. For example, the P1mv3 plan offers two virtual cores with 16 GB RAM, compared to the P1v3 plan, which provides two cores with 8 GB RAM. On the other hand, the P5mv3 plan offers 32 virtual cores with 256 GB RAM.

Salesforce offers cloud-based software solutions to businesses with tools designed to assist companies in finding potential customers, finalizing sales, and delivering exceptional customer service. It is widely recognized as a leading customer relationship management (CRM) platform utilized by support, sales, and marketing teams across the globe.

One of Salesforces notable offerings is Service Cloud, regarded as one of the most acclaimed customer service software solutions worldwide. Service Cloud enables efficient communication and issue resolution between customers and support agents through various channels, such as phone, web, chat, and email.

This 2023, Salesforce is hosting Salesforce Connections, a must-attend event for businesses looking to enhance customer satisfaction and loyalty. The event aims to provide attendees valuable insights and strategies to optimize operations, achieve better outcomes, reduce expenses, and exceed customer expectations. The event showcases the latest innovation in Digital 360, a collective term that describes Salesforces offerings: Experience Cloud, Marketing Cloud, and Commerce Cloud.

Additionally, Salesforce CEO Marc Benioff recently hosted the Salesforce AI Day, unveiling the Salesforce AI Cloud roadmap. The roadmap includes 16 new releases to provide personalized and relevant AI-powered tools to Salesforce customers, including Sales Email Generation, Reply Recommendations, Summarization Service, Knowledge Email Creation, Subject Line Generation, and more.

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6 Cloud Computing Companies Navigating the Digital Storm in 2023 - GovCon Wire

Market insight reports global Government Cloud Computing market research report uncovers the present picture in global and major regions from the perspective of Major Players, Countries, Product Types, and end industries. This study investigates the leading competitors in the global industry and categorizes the market.

This Government Cloud Computing Market research report pinpoints the competitive landscape of industries to better comprehend competition on a global scale. This analysis study describes the global markets expected growth for the years 2023 to 2029. This study report was compiled based on static and dynamic business views.

Before you buy, click here to get a free sample PDF copy of the latest research on the Government Cloud Computing Market 2023:

https://www.marketinsightsreports.com/reports/073012771369/global-government-cloud-computing-market-growth-trends-and-forecast-2023-to-2028-by-types-by-application-by-regions-and-by-key-players-microsoft-oracle-amazon-web-services-ibm/inquiry?Mode=M18

The Global Government Cloud Computing Markets Leading Players:

Microsoft, Oracle, Amazon Web Services, IBM, Google, Salesforce, Cisco Systems, Dell Technologies, VMware, Verizon, CGI Group and Others.

This study categorizes the global Government Cloud Computing market into the following types:

Infrastructure as a Service (IaaS)

Platform as a Service (PaaS)

Software as a Service (SaaS)

The Global Government Cloud Computing market is divided into the following applications:

Local and State Government

Defense and Military

Important Features that are under Offering and Key Underlines of the Reports:

Detailed overview of the market Changing market dynamics of the industry In-depth market segmentation by Type, Application, etc., Historical, Current, and projected market size in terms of volume and value Recent industry trends and developments Competitive landscape of the Government Cloud Computing Market Strategies of key players and product offerings Potential and niche segments/regions exhibiting promising growth

The Government Cloud Computing Market Regional Analysis:

Geographically, this report is divided into several key Regions, with production, consumption, revenue (million USD), and market share and growth rate of the Government Cloud Computing Market in these regions, from 2023 to 2029 (forecast), covering North America (USA, Canada, and Mexico), Europe (Germany, France, UK, Russia, and Italy), and Asia-Pacific (China, Japan, Korea, India, and Southeast).

The Report will Include a Major Chapter

Table of Contents

Market Summary Economic Impact Competition Analysis by Players Production, Revenue (Value) by geographical breakdown Government Cloud Computing Market Size by Type and Application Regional Market Status and Outlook Government Cloud Computing Market Analysis and Outlook Market Forecast by Region, Type, and Application Cost Investigation, Market Dynamics Marketing Strategy comprehension, Distributors and Traders Market Effect Factor Analysis Research Finding/ Conclusion Appendix

Full Report Description, TOC, Table of Figures, Chart, and so on are available at

https://www.marketinsightsreports.com/reports/073012771369/global-government-cloud-computing-market-growth-trends-and-forecast-2023-to-2028-by-types-by-application-by-regions-and-by-key-players-microsoft-oracle-amazon-web-services-ibm?Mode=M18

The following key questions are addressed in the report:

Finally, the Government Cloud Computing Market report is a credible source for obtaining market research that will significantly accelerate your business. The study provides the main location, and economic conditions with the item value, benefit, limit, generation, supply, demand, market development rate, figure, and so on. The Government Cloud Computing The industry research also includes a new project SWOT analysis, speculation attainability analysis, and venture return analysis.

The Combined Effects of High Inflation:

Globally, significant inflation in industrialized economies has resulted in an overall price increase over the last two years. The cumulatively deteriorating general purchasing power is projected to have a considerable influence on developing economies and is regarded asbeneficial in a variety of ways. The study examines the impact of high inflation on the global economys long-term performance. It givesinformation on fiscal policies that measure and mitigate their short-term effects on demand/supply, cash flow, and currency exchange. The Global Government Cloud Computing Market report forecasts strong inflation, considering the influence of cost-push and demand-pull inflation.

Custom services are provided in conjunction with the report:

20% free customization. You can add up to five nations of your choice. You can add up to five firms of your choice. Up to 40 hours of customization. One year of post-delivery support beginning on the day of delivery.

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Government Cloud Computing Market Size, Status and Business ... - University City Review

Exactitude Consultancy, the market research has completed and published the final copy of the detailed research report on theCloud Computing in Education Market.TheCloud Computing in Education Marketis expected to register a CAGR of over24.03% over the forecast period.

We have recently published a new report, titled Global Cloud Computing in Education Market Research Report 2023. The report has been put together using primary and secondary research methodologies, which offer an accurate and precise understanding of the Cloud Computing in Education market. Analysts have used a top-down and bottom-up approach to evaluate the segments and provide a fair assessment of their impact on the global Cloud Computing in Education market. The report offers an overview of the market, which briefly describes the market condition and the leading segments. It also mentions the top players present in the global Cloud Computing in Education market.

The research report on the global Cloud Computing in Education market includes a SWOT analysis and Porters five forces analysis, which help in providing the precise trajectory of the market. These market measurement tools help in identifying drivers, restraints, weaknesses, Cloud Computing in Education market opportunities, and threats.

https://exactitudeconsultancy.com/reports/15570/cloud-computing-in-education-market/#request-a-sample

A summary of the research work.

Table of Contents The studys depth of coverage

Market participants at the forefront

The research framework of the reports structure

Exactitude Consultancy research methodology

Microsoft Corporation, Ellucian, Amazon Web Services, Adobe System Inc., NEC Corporation, VMware Inc., IBM Corporation, Oracle Corporation, Cisco System Inc., NetApp Inc., Dell EMC, Google Cloud Platform, Salesforce, Baidu Yun, Tencent Cloud

Market Size Value in 2022

Market Size Value in2029

Growth Rate

Forecast Period

What are the Report Highlights?

The Cloud Computing in Education Market analysis report offers a comprehensive overview of the Market and its major growth prospects such as drivers, restraints, challenges, and upcoming opportunities. It also throws light on the current industry trends, major developments, and other interesting insights useful for this market. It further discusses the nature of the market competition, list of players and their key strategies to stay put in the competition. It also describes the table of segmentation and the names of the leading segment with market figures. The report is provided on the company website.

This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue and sales data of each region and country for the period 2018-2029.

The Cloud Computing in Education market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America, Middle East and Africa. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2023 because of the base year, with estimates for 2023 and forecast revenue for 2029.

Segments Covered in the Report

(Note*:We offer report based on sub segments as well. Kindly, let us know if you are interested)

Cloud Computing in Education Market By Service Model, 2020-2029, (USD Billion)

Cloud Computing in Education Market By Deployment Model, 2020-2029, (USD Billion)

Cloud Computing in Education Market By Ownership, 2020-2029, (USD Billion)

Cloud Computing in Education Market By User Type, 2020-2029, (USD Billion)

Cloud Computing in Education Market By Application, 2020-2029, (USD Billion)

What exactly is included in the Report?

Industry Trends and Developments:In this section, the authors of the research discuss the significant trends and developments that are occurring in the Cloud Computing in Education Market place, as well as their expected impact on the overall growth.

Future Prospects:In this portion of the study, Cloud Computing in Education Market participants are presented with information about the prospects that the global industry is likely to supply them with.

Analysis of the industrys size and forecast:The industry analysts have provided information on the size of the industry from both a value and volume standpoint, including historical, present and projected figures.

In-Depth Regional Analysis:Vendors are provided with in-depth information about high-growth regions and their particular countries, allowing them to place their money in more profitable areas.

The Competitive Landscape:This section of the study sheds light on the competitive landscape of the Cloud Computing in Education Market by examining the important strategies implemented by vendors to strengthen their position in the Cloud Computing in Education Market.

Study on Industry Segmentation:This section of the study contains a detailed overview of the important Cloud Computing in Education Market segments, which include product type, application, and vertical, among others.

Need a report that reflects how COVID-19 has impacted this market and its growth? Download Free PDF Now

Streamline initial research efforts by obtaining information on market growth, size, top competitors, and segmentation within the global Cloud Computing in Education Market.

Determine your companys priorities to maximize business tactics and expand into new markets effectively.

The report gives significant importance to key market characteristics such as volume, revenue, Cloud Computing in Education Market share, concentration rate, supply-demand environment, growth, and obstacles.

Comprehensive discussions on market growth drivers, trend analysis, future scope, government policies, and environmental considerations are included.

The study utilizes critical analytical procedures to achieve the highest level of data accuracy, including secondary research, Porters five analysis, SWOT analysis, qualitative analysis, and market sizing.

Utilize key conclusions and recommendations to gain a better understanding of Cloud Computing in Education Market trends and develop long-term revenue generation strategies.

Capitalize on growth opportunities in established and emerging regions to refine corporate expansion strategies.

Enhance decision-making processes by analyzing global Cloud Computing in Education Market trends, identifying driving and restraining factors, and gaining insights into product strategies, segmentation, and industry verticals.

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We believe our location in India is of strategic advantage to you. Without the overheads of other firms, we can get you intelligence at the level of accuracy you deserve, at a significantly lower cost to your organization.

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With our vast database of market intelligence and an ever-growing network of experts across the value chain, we make sure you get top-notch solutions with swift turnarounds that suit your deadlines.

Exactitude Consultancy is a market research & consulting services firm which helps its client to address their most pressing strategic and business challenges. Our market research helps clients to address critical business challenges and also helps make optimized business decisions with our fact-based research insights, market intelligence, and accurate data.

What we aim is to provide a holistic picture of the market taking into account all the possible market drivers.

With an aim to cover the entire business spectrum right from the core industries: Coal, Crude oil, Natural Gas, Petroleum refinery products, Fertilizer, Cement, Steel, and Electricity generation to the applied industries like: Engineering plastics, Automotive, Downstream chemicals, Medical Devices, Pharmaceuticals and Others.

We aim to provide an integrated and holistic approach to the entire business ecosystem under study so that our reports provide the most accurate data for your decisions.

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Cloud Computing in Education Market Forecast, 2023-2029: The ... - University City Review