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Socratic vs. Euclidean Forms of API Documentation

High Scalability

I was emailing a service about their documentation and while their doc was good, about one particularly tricky concept they told me that once you use it for a while, that’s when you’ll understand it. I want documentation that takes me from an unproductive newbie to a somewhat functioning journeyperson. It’s not easy.

Cloud 284
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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. Dynatrace provides tooling and documentation to help you migrate your Extensions 1.0 focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. Scalability and failover Extensions 2.0

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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

Dynatrace released Cloud Native Full Stack injection with a short list of temporary limitations — referenced in our documentation — which don’t apply to Classic Full Stack injection. First, go to the Monitor Kubernetes / OpenShift page in the Dynatrace web UI, as documented in help, and generate a deployment file (see the example below).

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AVIF for Next-Generation Image Coding

The Netflix TechBlog

Brief overview of image coding formats The JPEG format was introduced in 1992 and is widely popular. This is followed by quantization and entropy coding. With the motion extension, it was accepted as the video coding standard for digital cinema in 2004. Webp is based on intra-frame coding from the VP8 video coding format.

Code 212
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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. The documentation mentions that the supported languages to profile are Go, Java (any JVM-based language), Python, Ruby, and NodeJS. In this blog post, we’ll review how to run Linux profilers such as perf and produce flame graphs on Kubernetes environments.

Code 106
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Automated observability, security, and reliability at scale

Dynatrace

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. With Configuration as Code, developers can manage their observability and security tasks with config files that can be developed alongside source code conveniently and at scale.

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AWS serverless services: Exploring your options

Dynatrace

Scalability. Finally, there’s scalability. Using a low-code visual workflow approach, organizations can orchestrate key services, automate critical processes, and create new serverless applications. Serverless solutions are also more reliable than their traditional application counterparts. Enhancing event ingestion.