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Building a MongoDB-Powered RESTful Application With Quarkus and Eclipse JNoSQL

Build a MongoDB-powered RESTful app with Quarkus and Eclipse JNoSQL: generate, configure, create entities, implement services, and expose API.

Build Embedded Cache Clusters With Quarkus and Red Hat Data Grid

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. by 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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