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SRE Best Practices for Java Applications

DZone

Site reliability engineering (SRE) plays a vital role in ensuring Java applications' high availability, performance, and scalability. This discipline merges software engineering and operations, aiming to create a robust infrastructure that supports seamless user experiences.

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Java memory optimizations: 3x Jenkins performance improvement with Dynatrace

Dynatrace

In my last blog I covered how our Engineering Productivity (EP) and Infrastructure & Services (IAS) Teams are ensuring that our DevOps tool chain is running as expected, even while workloads have shifted as our global engineering teams are now working from home. But let’s start from the beginning: Step #1 – Switching to Java 11.

Java 332
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed. Ahem, Slow!

Java 214
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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Therefore, we’re happy to announce support for OpenTracing data that’s emitted by auto- and custom-instrumentation of Java source code with Dynatrace PurePath 4, our distributed tracing and code-level analysis technology. Find OpenTracing for Java seamlessly integrated into PurePath 4.

Java 264
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

This standardization enhances adoption within the personalization stack, simplifies the system, and improves understanding and debuggability for engineers. They must also provide enough information for partner engineers to identify the problem with the underlying service in cases of system-level issues.

Traffic 180
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How Netflix Content Engineering makes a federated graph searchable

The Netflix TechBlog

By Alex Hutter , Falguni Jhaveri and Senthil Sayeebaba Over the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. it began to power a significant portion of the user experience for many applications within Content Engineering. This was done using graphql-java.

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Optimizing Java XPath CPU and memory overhead by 98%

Dynatrace

Solution : Use optimized methods to access / query for specific data, e.g.: getNodeByType resulted in 98% reduction of CPU usage, better performance, returned high availability and reduced operational costs. One suggestion I want to give them on their way is to look into the practices of Performance Testing and Chaos Engineering.

Java 246