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Use this information to learn how to deploy custom resource objects that will be managed by the messaging topology operator. This blog post explains via example how the open policy agent gatekeeper project can be used in combination with the rabbitmq messaging topology operator to manage rabbitmq resources on kubernetes and enforce policies on those resources by extending the kubernetes api. This operator is used with rabbitmq clusters deployed via the rabbitmq cluster kubernetes operator

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This repository contains custom controllers and custom resource definitions (crds) enabling a declarative api for rabbitmq messaging topologies. The rabbitmq messaging topology operator allows developers to create and manage rabbitmq messaging topologies within a rabbitmq cluster using a declarative kubernetes api. The rabbitmq team develop and maintain two kubernetes operators

The rabbitmq cluster kubernetes operator and the rabbitmq messaging topology operator.

The rabbitmq messaging topology operator helps manage the topology of rabbitmq (exchanges, queues, and bindings) declaratively By applying ha policies, you can ensure that your messaging infrastructure remains highly available, even in the face of node failures. There are several message brokers available in the market which developers are using in their microservice architecture like rabbitmq, apache kafka etc In this blog post, we will be discussing rabbitmq

Rabbitmq is an open source message broker. Each solution covers different needs and use cases The bitnami/rabbitmq chart deploys a single rabbitmq installation using a kubernetes statefulset object (together with services, pvcs, configmaps, etc.). This information describes how to modify the configuration of the rabbitmq messaging topology operator in a kubernetes cluster

To change the configuration, add or update the configuration environment variables by editing the topology operator deployment manifest.