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How to Boost Redis With Local Caching in Java

DZone

You may also like: Java-Distributed Caching in Redis. Local caching is one of the most useful tactics for improving the performance of databases such as Redis. Redis developers who want to do local caching in Java will find that Redis doesn’t support this functionality out of the box.

Cache 173
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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

We decided to move one of our Java microservices?—?let’s In both bands, performance characteristics remain consistent for the entire uptime of the JVM on the node, i.e. nodes never jumped the bands. Luckily, the m5.12xl instance type exposes a set of core PMCs (Performance Monitoring Counters, a.k.a. let’s call it GS2?—?to

Hardware 363
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Comparing Apache Ignite In-Memory Cache Performance With Hazelcast In-Memory Cache and Java Native Hashmap

DZone

This article compares different options for the in-memory maps and their performances in order for an application to move away from traditional RDBMS tables for frequently accessed data.

Cache 147
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Kubernetes in the wild report 2023

Dynatrace

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Java, Go, and Node.js Java, Go, and Node.js Most organizations, 72%, use Java to some degree.

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The Return of the Frame Pointers

Brendan Gregg

I'm sure this delivered large performance improvements and I wouldn't try arguing against it. Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway.

Java 145
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Using Cache in Spring Boot

DZone

A solution to that problem could be using a cache, but how do you implement it? In that article, I explain how to use a basic cache in Spring Boot. We would have a slow application because it is reading continuously data that hardly changes.

Cache 100
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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

This blog post will share broadly-applicable techniques (beyond GraphQL) we used to perform this migration. A single API team maintained both the Java implementation of the Falcor framework and the API Server. And we definitely couldn’t replay test non-functional requirements like caching and logging user interaction.

Traffic 353