noSQL

Build embedded cache clusters with Quarkus and Red Hat Data Grid

Build embedded cache clusters with Quarkus and Red Hat Data Grid

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.

Continue reading Build embedded cache clusters with Quarkus and Red Hat Data Grid

Share
Securely connect Quarkus and Red Hat Data Grid on Red Hat OpenShift

Securely connect Quarkus and Red Hat Data Grid on Red Hat OpenShift

The release of Red Hat Data Grid 8.1 offers new features for securing applications deployed on Red Hat OpenShift. Naturally, I wanted to check them out for Quarkus. Using the Quarkus Data Grid extension made that easy to do.

Data Grid is an in-memory, distributed, NoSQL datastore solution based on Infinispan. Since it manages your data, Data Grid should be as secure as possible. For this reason, it uses a default property realm that requires HTTPS and automatically enforces user authentication on remote endpoints. As an additional layer of security on OpenShift, Data Grid presents certificates signed by the OpenShift Service Signer. In practice, this means that Data Grid is as secure as possible out of the box, requiring encrypted connections and authentication from the first request. Data Grid generates a default set of credentials (which, of course, you can override), but unauthenticated access is denied.

In this article, I show you how to configure a Quarkus application with Data Grid and deploy it on OpenShift.

Continue reading “Securely connect Quarkus and Red Hat Data Grid on Red Hat OpenShift”

Share
Red Hat Data Grid 8.0 brings new server architecture, improved REST API, and more

Red Hat Data Grid 8.0 brings new server architecture, improved REST API, and more

Red Hat Data Grid helps applications access, process, and analyze data at in-memory speed. Red Hat Data Grid 8.0 is included in the latest update to Red Hat Runtimes, providing a distributed in-memory, NoSQL datastore. This release includes a new Operator for handling complex applications, a new server architecture that reduces memory consumption and increases security, a faster API with new features, a new CLI, and compatibility with a variety of observability tools.

Continue reading Red Hat Data Grid 8.0 brings new server architecture, improved REST API, and more

Share