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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

Before you begin, be sure to sign-up for the Preview program. Once you’ve received your invitation to the Preview program you need to: 1. How to participate in the Preview Program. In upcoming sprints, additional improvements will include: Support for Java-based functions. So please stay tuned! What’s next.

Lambda 345
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Transform mainframe applications into z/OS Java services with end-to-end transaction visibility and anomaly detection (Preview)

Dynatrace

Although these COBOL applications operate with consistent performance, companies and governments are forced to transform them to new platforms and rewrite them in modern programming languages (like Java) for several reasons. Thus, implementing applications in Java can result in considerable financial savings.

Java 257
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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 189
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Optimizing RabbitMQ requires clustering, queue management, and resource tuning to maintain stability and efficiency. Apache Kafka primarily uses JAAS (Java Authentication and Authorization Service) for authentication. RabbitMQ supports high message volumes but may experience performance drops under heavy loads.

Latency 147
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

Building services that adhere to software best practices, such as Object-Oriented Programming (OOP), the SOLID principles, and modularization, is crucial to have success at this stage. Thank you for joining us on this exploration, and stay tuned for more insights and innovations as we continue to entertain theworld.

Traffic 180
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AI Flame Graphs

Brendan Gregg

The green frames are the actual instructions running on the AI or GPU accelerator, aqua shows the source code for these functions, and red (C), yellow (C++), and orange (kernel) show the CPU code paths that initiated these AI/GPU programs. Even for running programs. Programs that exist in the file system. Process tools.

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How To Reduce CPU Consumption Caused by Garbage Collection

DZone

All the modern programming languages such as Golang, Node.js, Java,NET, Python, etc. In an effort to reduce cloud hosting costs, recently, Uber tuned their garbage collection to reduce CPU utilization. do automatic garbage collection to remove unreferenced objects from memory.

Java 227