KubeBlocks
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Overview
Quickstart

Operations

Lifecycle Management
Vertical Scaling
Horizontal Scaling
Volume Expansion
Manage RabbitMQ Services
Decommission RabbitMQ Replica

Monitoring

Observability for RabbitMQ Clusters

tpl

  1. Why Decommission Pods with KubeBlocks?
  2. Prerequisites
  3. Deploy a RabbitMQ Cluster
  4. Verifying the Deployment
  5. Decommission a Pod
    1. Monitor the Decommissioning Process
    2. Verify the Decommissioning
  6. Summary

Decommission a Specific Pod in KubeBlocks-Managed RabbitMQ Clusters

This guide explains how to decommission (take offline) specific Pods in RabbitMQ clusters managed by KubeBlocks. Decommissioning provides precise control over cluster resources while maintaining availability. Use this for workload rebalancing, node maintenance, or addressing failures.

Why Decommission Pods with KubeBlocks?

In traditional StatefulSet-based deployments, Kubernetes lacks the ability to decommission specific Pods. StatefulSets ensure the order and identity of Pods, and scaling down always removes the Pod with the highest ordinal number (e.g., scaling down from 3 replicas removes Pod-2 first). This limitation prevents precise control over which Pod to take offline, which can complicate maintenance, workload distribution, or failure handling.

KubeBlocks overcomes this limitation by enabling administrators to decommission specific Pods directly. This fine-grained control ensures high availability and allows better resource management without disrupting the entire cluster.

Prerequisites

    Before proceeding, ensure the following:

    • Environment Setup:
      • A Kubernetes cluster is up and running.
      • The kubectl CLI tool is configured to communicate with your cluster.
      • KubeBlocks CLI and KubeBlocks Operator are installed. Follow the installation instructions here.
    • Namespace Preparation: To keep resources isolated, create a dedicated namespace for this tutorial:
    kubectl create ns demo namespace/demo created

    Deploy a RabbitMQ Cluster

      KubeBlocks uses a declarative approach for managing RabbitMQ Clusters. Below is an example configuration for deploying a RabbitMQ Cluster with 3 replicas.

      Apply the following YAML configuration to deploy the cluster:

      apiVersion: apps.kubeblocks.io/v1 kind: Cluster metadata: name: rabbitmq-cluster namespace: demo spec: terminationPolicy: Delete clusterDef: rabbitmq topology: clustermode componentSpecs: - name: rabbitmq serviceVersion: 3.13.7 replicas: 3 resources: limits: cpu: "0.5" memory: "0.5Gi" requests: cpu: "0.5" memory: "0.5Gi" volumeClaimTemplates: - name: data spec: storageClassName: "" accessModes: - ReadWriteOnce resources: requests: storage: 20Gi

      Verifying the Deployment

        Monitor the cluster status until it transitions to the Running state:

        kubectl get cluster rabbitmq-cluster -n demo -w

        Expected Output:

        kubectl get cluster rabbitmq-cluster -n demo NAME CLUSTER-DEFINITION TERMINATION-POLICY STATUS AGE rabbitmq-cluster rabbitmq Delete Creating 15s rabbitmq-cluster rabbitmq Delete Running 83s

        Check the pod status and roles:

        kubectl get pods -l app.kubernetes.io/instance=rabbitmq-cluster -n demo

        Expected Output:

        NAME READY STATUS RESTARTS AGE rabbitmq-cluster-rabbitmq-0 2/2 Running 0 106s rabbitmq-cluster-rabbitmq-1 2/2 Running 0 82s rabbitmq-cluster-rabbitmq-2 2/2 Running 0 47s

        Once the cluster status becomes Running, your RabbitMQ cluster is ready for use.

        TIP

        If you are creating the cluster for the very first time, it may take some time to pull images before running.

        Decommission a Pod

        Expected Workflow:

        1. Replica specified in onlineInstancesToOffline is removed
        2. Pod terminates gracefully
        3. Cluster transitions from Updating to Running

        Before decommissioning a specific pod from a component, make sure this component has more than one replicas. If not, please scale out the component ahead.

        E.g. you can patch the cluster CR with command, to declare there are 3 replicas in component querynode.

        kubectl patch cluster milvus-cluster -n demo --type='json' -p='[ { "op": "replace", "path": "/spec/componentSpecs/2/replicas", "value": 3 } ]'

        To decommission a specific Pod (e.g., 'rabbitmq-cluster-rabbitmq-1'), you can use one of the following methods:

        Option 1: Using OpsRequest

        Create an OpsRequest to mark the Pod as offline:

        apiVersion: operations.kubeblocks.io/v1alpha1 kind: OpsRequest metadata: name: rabbitmq-cluster-decommission-ops namespace: demo spec: clusterName: rabbitmq-cluster type: HorizontalScaling horizontalScaling: - componentName: rabbitmq scaleIn: onlineInstancesToOffline: - 'rabbitmq-cluster-rabbitmq-1' # Specifies the instance names that need to be taken offline

        Monitor the Decommissioning Process

        Check the progress of the decommissioning operation:

        kubectl get ops rabbitmq-cluster-decommission-ops -n demo -w

        Example Output:

        NAME TYPE CLUSTER STATUS PROGRESS AGE rabbitmq-cluster-decommission-ops HorizontalScaling rabbitmq-cluster Running 0/1 8s rabbitmq-cluster-decommission-ops HorizontalScaling rabbitmq-cluster Running 1/1 31s rabbitmq-cluster-decommission-ops HorizontalScaling rabbitmq-cluster Succeed 1/1 31s

        Option 2: Using Cluster API

        Alternatively, update the Cluster resource directly to decommission the Pod:

        apiVersion: apps.kubeblocks.io/v1 kind: Cluster spec: componentSpecs: - name: rabbitmq replicas: 2 # explected replicas after decommission offlineInstances: - rabbitmq-cluster-rabbitmq-1 # <----- Specify Pod to be decommissioned ...

        Verify the Decommissioning

        After applying the updated configuration, verify the remaining Pods in the cluster:

        kubectl get pods -n demo -l app.kubernetes.io/instance=rabbitmq-cluster

        Example Output:

        NAME READY STATUS RESTARTS AGE rabbitmq-cluster-rabbitmq-0 2/2 Running 0 25m rabbitmq-cluster-rabbitmq-2 2/2 Running 0 24m

        Summary

        Key takeaways:

        • Traditional StatefulSets lack precise Pod removal control
        • KubeBlocks enables targeted Pod decommissioning
        • Two implementation methods: OpsRequest or Cluster API

        This provides granular cluster management while maintaining availability.

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