In this post we will cover feature flags, a new subsystem in RabbitMQ 3.8. Feature flags will allow a rolling cluster upgrade to the next minor version, without requiring all nodes to be stopped before upgrading.
In this post we'll cover how the RabbitMQ Java client library gathers runtime metrics and sends them to monitoring systems like JMX and Datadog.
In this post we'll cover a new configuration format available in RabbitMQ 3.7.0.
In this blog post we're going to take a closer look at a new subsystem introduced in RabbitMQ 3.7.0.
After over 1 year in the works, RabbitMQ 3.7.0 has quietly shipped right before the start of the holiday season. The release was heavily inspired by the community feedback on 3.6.x. In this post we'd like to cover some of the highlights in this release.
The RabbitMQ team is happy to announce the release of version 2.0 of HOP, RabbitMQ HTTP API client for Java and other JVM languages. This new release introduce a new reactive client based on Spring Framework 5.0 WebFlux.
The RabbitMQ team is happy to announce the release of version 5.0 of the RabbitMQ Java Client. This new release is now based on Java 8 and comes with a bunch of interesting new features.
As of v3.7.0 Milestone 8,
RabbitMQ ships with a brand new set of CLI tools (rabbitmqctl, rabbitmq-plugins, and more), reworked from the ground-up. We had a few goals with this project.
Version 4.0 of the RabbitMQ Java Client brings support for runtime metrics. This can be especially useful to know how a client application is behaving. Let's see how to enable metrics collection and how to monitor those metrics on JMX or even inside a Spring Boot application.
The RabbitMQ team is happy to announce the release of version 4.0 of the RabbitMQ Java Client. This new release does not introduce any breaking changes and comes with a bunch of interesting new features.