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Managing hybrid cloud infrastructure with an observability platform

Dynatrace

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. Dynatrace news.

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Kubernetes in the wild report 2023

Dynatrace

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. The report also reveals the leading programming languages practitioners use for application workloads. Kubernetes infrastructure models differ between cloud and on-premises.

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Rethinking programming

O'Reilly

The programming world will increasingly be split between highly trained professionals and people who don’t have a deep background but have a lot of experience building things. We need to think about how programming is taught. Minecraft has unwittingly taught a generation of grade-schoolers how to program in Java.

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Open Source vs. Proprietary Database Software: What To Choose?

Percona

Let’s start with a simple introductory comparison: With proprietary (closed source) database software, the public does not have access to the source code; only the company that owns it and those given access can modify it. And about attackers: They often use hacking programs instead of attacking the code directly.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

Then, they can split these services into functional application programming interfaces (APIs), rather than shipping applications as one large, collective unit. In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. Additionally, typical SOA models use larger relational databases.

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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

Container orchestration allows an organization to digitally transform at a rapid clip without getting bogged down by slow, siloed development, difficult scaling, and high costs associated with optimizing application infrastructure. The managed service runs on public clouds such as Amazon Web Services and Google Cloud. Networking.

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What Is a Workload in Cloud Computing

Scalegrid

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

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