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Build Embedded Cache Clusters With Quarkus and Red Hat Data Grid
In this article, learn how to build embedded cache clusters with Quarkus and Red Hat Data Grid through a detailed tutorial.
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Introduction
There are many ways to configure the cache in a microservices system. As a rule of thumb, you should use caching only in one place; for example, you should not use the cache in both the HTTP and application layers. Distributed caching both increases cloud-native application performance and minimizes the overhead of creating new microservices.
Infinispan is an open-source, in-memory data grid that can run as a distributed cache or a NoSQL datastore. You could use it as a cache, such as for session clustering, or as a data grid in front of the database. Red Hat Data Grid builds on Infinispan with additional features and support for enterprise production environments.

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