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Unlocking Performance: Exploring Java 21 Virtual Threads [Video]

DZone

In this Java 21 tutorial, we dive into virtual threads, a game-changing feature for developers. Virtual threads are a lightweight and efficient alternative to traditional platform threads, designed to simplify concurrent programming and enhance the performance of Java applications.

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Unleash Peak Performance in Java Applications: Overview of Profile-Guided Optimization (PGO)

DZone

In the realm of Java development, optimizing the performance of applications remains an ongoing pursuit. Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs.

Java 177
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed. JAVA SOLUTION (Will Be Uploaded Later).

Java 207
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Java memory optimizations: 3x Jenkins performance improvement with Dynatrace

Dynatrace

But let’s start from the beginning: Step #1 – Switching to Java 11. In order to leverage the new Memory Profiling feature I’s necessary that you upgrade to Java 11 as this version introduces new capabilities ( JEP 331 ) that allow tool vendors like Dynatrace to capture memory allocation information at run-time with zero overhead.

Java 256
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Dynamic Programming Problems: Learn to Solve Them More Efficiently

DZone

Programming problems can be listed and are sorted based on various categories of programming languages used like PHP, Java, Python, C++, and many others, which developers use for coding. Learning to code simply means improving your knowledge and finding various ways to solve all the problems more efficiently than ever before.

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Automatic and intelligent end-to-end observability for OpenTelemetry Java

Dynatrace

To avoid blind spots that get in the way of efficient root cause analysis and increase resolution times, such teams need an enterprise-scale platform that provides a holistic end-to-end view across all the services they are responsible for. PurePath integrates OpenTelemetry Java data for enterprise-grade collection and contextual analytics.

Java 159
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Optimizing Java XPath CPU and memory overhead by 98%

Dynatrace

Here’s the proof that the update, which was first rolled out on 4 nodes and then to all 6, resulted in a 98% reduction of CPU usage: Updating the 3rd party library to use more efficient internal parsing of documents resulted in 98% of CPU usage reduction.

Java 227