RabbitMQ-cluster-operator 2.2.0

• Automated deployment of RabbitMQ clusters in Kubernetes
• Support for high availability through automatic failover
• Scalability through horizontal scaling of nodes
• Integration with Kubernetes-native tools like Prometheus and Grafana for monitoring
• Simplified management of RabbitMQ clusters using Kubernetes primitives
• Customizable configuration options for RabbitMQ nodes and plugins

• Messaging workloads that require high availability and scalability can benefit from using RabbitMQ clusters deployed with the RabbitMQ Cluster Operator. With automatic failover and horizontal scaling, clusters can handle increased traffic and ensure that messages are delivered reliably.
• Teams that are already using Kubernetes to manage their workloads can leverage the RabbitMQ Cluster Operator to manage their RabbitMQ clusters in a familiar way. This makes it easy to deploy and manage RabbitMQ clusters alongside other Kubernetes-native applications.

To use the RabbitMQ Cluster Operator, follow these steps:

1. Install the RabbitMQ Cluster Operator on your Kubernetes cluster
2. Configure your RabbitMQ cluster settings using Kubernetes manifests
3. Deploy the RabbitMQ cluster using the Kubernetes manifests
4. Monitor the RabbitMQ cluster using Kubernetes-native tools like Prometheus and Grafana

• The RabbitMQ Cluster Operator is built using the Operator SDK, a framework for building Kubernetes-native operators.
• It uses the RabbitMQ Kubernetes Operator as its foundation, adding additional features for cluster management and monitoring.
• The RabbitMQ Cluster Operator can be deployed on any Kubernetes environment, including on-premises, public cloud, or hybrid cloud environments.
• It supports the latest version of RabbitMQ and can be customized with additional plugins or configuration options as needed.
• The RabbitMQ Cluster Operator is open source and can be found on GitHub.