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Migrating and Modernizing Windows Workloads on AWS

15 Jul
By: ClearScale
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Cloud adoption statistics continue to rise, but that doesn’t mean your company should jump on the cloud bandwagon — at least not without the right strategy and assistance. It’s one thing to implement software-as-a-service (SaaS) or a cloud-first strategy for new systems. It’s an entirely different ball game when it comes to migrating Windows workloads to the cloud — particularly legacy systems and those that require high availability. When moving to the cloud, it’s usually not enough to

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5 Big Data Challenges and How AWS Can Overcome Them

08 Jul
By: ClearScale
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Without a doubt, big data is among an organization’s most valuable business assets. It can provide insights into consumer behavior and enhance customer experiences. It can be used to cut costs and increase revenues. It can drive product development. And much more. However, big data can also be one of the most difficult and complex business assets to manage. And analyzing that data comes with its own set of challenges. Here are five big data challenges and a brief

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Speed Up Your App Development and Deployment Process With IaC

01 Jul
By: ClearScale
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It’s a common problem. You can’t seem to develop and deploy applications fast enough to meet your customers’ changing demands. However, what if you could automate the processes involved? That could really speed things up. It would also let you scale up or down on the fly, reduce manual errors, improve the availability of the application, and realize the cost benefits of on-demand compute. Sounds great, right? But, how do I accomplish that, you’re probably thinking? Good

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Using the 12-Factor Approach for Microservices

08 Jun
By: ClearScale
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A lot has been written about the advantages of microservices architecture over the monolith approach to app development, and the case for employing microservices is strong. The issue is: how do you pull it off? One method that we’ve found extremely beneficial at ClearScale is the use of Twelve-Factor App methodology. It was created by developers at Heroku who observed that successful apps share some common principles. While the original principles were based on apps developed on Heroku platform

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How to Choose The Right IT Services Firm for a Post COVID World

27 May
By: ClearScale
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Few, if any, industries escaped the effects of the COVID-19 pandemic. Even in the technology sector, where change is a normal part of business, many professional services and technology consulting firms struggled to cope with the disruption. That seems almost paradoxical given that organizations across just about every sector had to embrace work-from-home operations or other business changes and implement the technology resources — including cloud services — to support them. But some declines in business for service providers were simply due

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4 Ways Graviton Processors Make the Cloud Journey Better

17 May
By: ClearScale
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By Vyacheslav Gorlov Senior Solutions Architect, ClearScale Server processors power all the cloud services, and Intel and AMD have long dominated this market. Slowly, however, other companies started making inroads ─ including Amazon Web Services (AWS) with its Graviton processors. That’s why it was big news earlier this year when AWS announced it was adding to its family of Graviton2-powered Elastic Cloud Compute (EC2) instances. It signifies that AWS is making a strong commitment to its custom-built, Arm-based Graviton server

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Managed DevOps: Why It’s Needed. Where to Get It.

13 May
By: ClearScale
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From infrastructure to disaster recovery, just about anything in the IT space can be delivered as a service ─ and in many cases, as a managed service. That includes what’s known as Managed DevOps or DevOps as a Service. The idea is that the customer doesn’t have to invest in the resources required for rendering the services. Those costs are covered by the IT service provider, who delivers the service for a fee. The provider also manages the service

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Container Security Risks and Remedies

06 May
By: ClearScale
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Container technology is considered by many in the IT industry as the go-to strategy for virtualization. Like most technologies, however, containers have security risks. The National Institute of Standards and Technology (NIST) released a guide that identifies many of those risks and offers recommendations for mitigating them. While the guide doesn’t solve all the potential problems associated with containerization, it does provide a good starting point. In this post, we discuss the NIST’s take on some of the

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Why Machine Learning Projects Fail – and How to Make Sure They Don’t

29 Apr
By: ClearScale
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The hype about machine learning (ML) is well deserved. It’s not just making things easier for the companies that are taking advantage of it. It’s changing the way they do business for the better. For example, ML is: Being used by financial institutions to quickly detect fraudulent activity Enabling healthcare practitioners diagnose diseases and prescribe appropriate treatments more effectively Helping manufacturing companies monitor equipment so issues can be dealt with before they disrupt operations Allowing streaming services to

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How to Meet HIPAA Compliance on AWS

22 Apr
By: ClearScale
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Machine learning-enabled medical image analysis. Prosthetics customized for individual patients courtesy of 3D printing. Virtual Reality (VR) tools that enable medical students to learn from life-and-death scenarios in low-stakes environments. These are just some of the numerous examples of technology pushing healthcare to new levels of sophistication. In many cases, the technologies driving these innovations are cloud-based. Many healthcare organizations are eager to take advantage of the well-documented benefits of the cloud. However, as these organizations move to the cloud

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