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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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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

Perform an audit on default settings of the application server. 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.

Java 246
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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

This decoupling simplifies system architecture and supports scalability in distributed environments. Kafka stores and distributes data through a partitioned log system, which spans multiple brokers to provide fault tolerance and scalability. What is RabbitMQ? This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147
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Kubernetes in the wild report 2023

Dynatrace

Java, Go, and Node.js Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors.