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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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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. Recently, I spent some time checking on the Performance (not a very detailed study) of the various programming languages. JAVA SOLUTION (Will Be Uploaded Later).

Java 214
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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

This additional insight enables you to design strategies for handling the effects of cold starts, like warming up your functions or configuring provisioned concurrency for your functions. 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.

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Data privacy by design: How an observability platform protects data security

Dynatrace

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 246
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How To Implement Specific Distributed System Patterns Using Spring Boot: Introduction

DZone

Spring Boot Overview One of the most popular Java EE frameworks for creating apps is Spring. The Spring framework offers a comprehensive programming and configuration mechanism for the Java platform. It seeks to make Java EE programming easier and increase developers' productivity in the workplace.

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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. Given the shape of our data, hollow feeds are an excellent strategy to distribute the data across our serviceboxes.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing.

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