66 posts tagged with "New Features"

We are pleased to announce that the RabbitMQ Operator for Kubernetes is now generally available. The RabbitMQ Operator makes it easy to provision and manage RabbitMQ clusters consistently on any certified Kubernetes distribution. Operators inform the Kubernetes container orchestration system how to provision and control specific applications. The Kubernetes (hereafter K8s) Operator pattern is a way to extend the K8s API and state management to include the provisioning and management of custom resources -- resources not provided in a default K8s deployment. In this post, we’ll discuss how the Operator enables the K8s system to control a RabbitMQ cluster.

This is the first part of a series on quorum queues, our new replicated queue type. We'll be covering everything from what quorum queues are, to hardware requirements, migration from mirrored queues and best practices.

Introducing Quorum Queues​

Mirrored queues, also known as HA queues have been the de facto option for years when requiring extra data safety guarantees for your messages. Quorum queues are the next generation of replicated queue that aim to replace most use cases for mirrored queues and are available from the 3.8 release and onward.

In this blog series we’re going to cover the following:

• Part 1 - Understand the need for a new replicated queue type and how it works (this post)
• Part 2 - Why your choice of storage drive matters with quorum queues
• Part 3 - Quorum queues and flow control. Concepts.
• Part 4 - Quorum queues and flow control. Single Queue Benchmarks.
• Part 5 - Quorum queues and flow control. Stress Tests.
• Part 6 - Quorum queues and cluster/VM Sizing (coming soon)
• Part 7 - When and how to migrate from mirrored to quorum queues (coming soon)
• Part 8 - Best practices and gotchas (coming soon)
• Part 9 - Monitoring and admin operations (coming soon)

RabbitMQ 3.8 has just been released and has some major new features which focus on reliability, operations, and observability.

You can find the new 3.8 release on the GitHub releases page which includes information about what is included in the release as well as various installation assets. See our upgrade guide for more information about upgrading to 3.8.0.

Our team dedicates this release to Joe Armstrong, the creator of Erlang. Joe’s work in the fields of concurrent and distributed systems benefits RabbitMQ to this day. Equally importantly, Joe was a rare example of a brilliant engineer who was also very humble and kind.

Let’s take a quick look at the new features in this release.

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.