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Creating Scalable OpenAI GPT Applications in Java

DZone

One of the more notable aspects of ChatGPT is its engine, which not only powers the web-based chatbot but can also be integrated into your Java applications.

Java 357
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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. Each section will be illustrated with relevant Java code samples to provide practical insights.

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Principles to Handle Thousands of Connections in Java Using Netty

DZone

In today's article, I'm going to discuss common principles that need to be followed if we want to build a scalable application that can handle thousands of connections. I will refer to Netty Framework, TCP and Socket internals and some useful tools if you want to get some insights from your application and underlying system.

Java 352
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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. Unlike Java, we support multiple inheritance as well. All of these services at a later point want to annotate their objects or entities.

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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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How To Implement Video Information and Editing APIs in Java

DZone

It must be said that this video traffic phenomenon primarily owes itself to modernizations in the scalability of streaming infrastructure, which simply weren’t present fifteen years ago.

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Optimizing Java XPath CPU and memory overhead by 98%

Dynatrace

This was a great example on how powerful the data of Dynatrace is when it comes to detecting performance or scalability issues and their root cause. The post Optimizing Java XPath CPU and memory overhead by 98% appeared first on Dynatrace blog. Configure Json response with limited required result data.

Java 246