Sometimes, claims call the same service for the same information over and over again. This behavior is called chattiness. Caching can help us optimize this chattiness.
Using Spring Data with Cassandra 3 extends Spring's power into more NoSQL. This detailed tutorial includes setting up Apache Cassandra and some basic interactions.
You can customize a Mule caching strategy so that the Mule cache scope actions can operate on the Redis data store. You can also try other third-party caching frameworks.
In the final article to his comprehensive series on learning Oracle JET, Chris Muir goes over the Oracle JET Common Model & Collection API, a client-side JavaScript API for accessing remote REST web services and plugging them into our JET UI components.
Let's look into the Apache Ignite Cluster Layer, a GitHub project that includes the basic building blocks needed to implement a proposed microservices-based architecture.
Apache Lucene's indexing and searching capabilities make it attractive for any number of usesādevelopment or academic. See an example of how the search engine works.
Once you've mastered the basics of cache abstraction with Spring, consider moving onto Hazelcast for more options while incorporating a time-to-live policy.
What's the max amount of threads you can run with each tool before you start getting errors or saturating a basic resource? Is there significantly different resource use?