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Cache coherence
Cache coherence







cache coherence

To deploy the application to Kubernetes, first create a Docker image for it.

cache coherence

A user-friendly interface for the sample to-do list application Creating a Docker image Figure 1 shows the UI for the application.įigure 1. That includes converting the existing demo into a production-quality application by adding support for scale out, persistence, monitoring, and end-to-end request tracing.

#CACHE COHERENCE SERIES#

In this part, I’ll complete the series by covering the packaging, deployment, and operational aspects of this project. In the second article, I built a React-based web front end and JavaFX-based desktop client.

cache coherence

In the first article in this series, I implemented a REST API that allows you to manage a to-do list of tasks stored in Coherence. In the summer of 2020, Oracle released Coherence Community Edition (CE), an open source version of the product. It’s an essential tool for improving the performance and scalability of Java applications, and it’s widely used for large-scale projects - think of it as a scalable, concurrent, fault-tolerant implementation that is partitioned across multiple JVMs, machines, and even data centers. Oracle Coherence started as a distributed caching product and then evolved into an in-memory data grid. This article was originally published in Java Magazine, on January 15, 2021. Deploy Coherence application to a Kubernetes cluster, and then scale, monitor and manage that cluster









Cache coherence