KubeBlocks
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Overview
Quickstart

Operations

Lifecycle Management
Vertical Scaling
Horizontal Scaling
Volume Expansion
Manage PostgreSQL Services
Minor Version Upgrade
Modify PostgreSQL Parameters
PostgreSQL Switchover
Decommission PostgreSQL Replica
Recovering PostgreSQL Replica

Backup And Restores

Create BackupRepo
Create Full Backup
Scheduled Backups
Scheduled Continuous Backup
Restore PostgreSQL Cluster
Restore with PITR

Custom Secret

Custom Password
Custom Password Policy

TLS

PostgreSQL Cluster with TLS
PostgreSQL Cluster with Custom TLS

Monitoring

Observability for PostgreSQL Clusters
FAQs

tpl

  1. Prerequisites
  2. Deploy a PostgreSQL Cluster
  3. Verifying the Deployment
  4. Cluster Lifecycle Operations
    1. Stopping the Cluster
    2. Verifying Cluster Stop
    3. Starting the Cluster
    4. Verifying Cluster Start
    5. Restarting Cluster
  5. Summary

PostgreSQL Cluster Lifecycle Management

This guide demonstrates how to manage a PostgreSQL cluster's operational state in KubeBlocks, including:

  • Stopping the cluster to conserve resources
  • Starting a stopped cluster
  • Restarting cluster components

These operations help optimize resource usage and reduce operational costs in Kubernetes environments.

Lifecycle management operations in KubeBlocks:

OperationEffectUse Case
StopSuspends cluster, retains storageCost savings, maintenance
StartResumes cluster operationRestore service after pause
RestartRecreates pods for componentConfiguration changes, troubleshooting

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 PostgreSQL Cluster

      KubeBlocks uses a declarative approach for managing PostgreSQL clusters. Below is an example configuration for deploying a PostgreSQL cluster with 2 replicas (1 primary, 1 replicas).

      Apply the following YAML configuration to deploy the cluster:

      apiVersion: apps.kubeblocks.io/v1 kind: Cluster metadata: name: pg-cluster namespace: demo spec: terminationPolicy: Delete clusterDef: postgresql topology: replication componentSpecs: - name: postgresql serviceVersion: 16.4.0 disableExporter: true replicas: 2 resources: limits: cpu: "0.5" memory: "0.5Gi" requests: cpu: "0.5" memory: "0.5Gi" volumeClaimTemplates: - name: data spec: accessModes: - ReadWriteOnce resources: requests: storage: 20Gi

      Verifying the Deployment

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

        kubectl get cluster pg-cluster -n demo -w

        Expected Output:

        NAME CLUSTER-DEFINITION TERMINATION-POLICY STATUS AGE pg-cluster postgresql Delete Creating 50s pg-cluster postgresql Delete Running 4m2s

        Once the cluster status becomes Running, your PostgreSQL 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.

        Cluster Lifecycle Operations

        Stopping the Cluster

        Stopping a PostgreSQL cluster in KubeBlocks will:

        1. Terminates all running pods
        2. Retains persistent storage (PVCs)
        3. Maintains cluster configuration

        This operation is ideal for:

        • Temporary cost savings
        • Maintenance windows
        • Development environment pauses

        Option 1: OpsRequest API

        Create a Stop operation request:

        apiVersion: operations.kubeblocks.io/v1alpha1 kind: OpsRequest metadata: name: pg-cluster-stop-ops namespace: demo spec: clusterName: pg-cluster type: Stop

        Option 2: Cluster API Patch

        Modify the cluster spec directly by patching the stop field:

        kubectl patch cluster pg-cluster -n demo --type='json' -p='[ { "op": "add", "path": "/spec/componentSpecs/0/stop", "value": true } ]'

        Verifying Cluster Stop

        To confirm a successful stop operation:

        1. Check cluster status transition:

          kubectl get cluster pg-cluster -n demo -w

          Example Output:

          NAME CLUSTER-DEFINITION TERMINATION-POLICY STATUS AGE pg-cluster postgresql Delete Stopping 6m3s pg-cluster postgresql Delete Stopped 6m55s
        2. Verify no running pods:

          kubectl get pods -n demo

          Example Output:

          No resources found in demo namespace.
        3. Confirm persistent volumes remain:

          kubectl get pvc -n demo

          Example Output:

          NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE data-pg-cluster-postgresql-0 Bound pvc-dcfb1ebc-2773-4edd-9898-e11da76062c4 20Gi RWO standard 19m data-pg-cluster-postgresql-1 Bound pvc-36366e01-0178-43fa-b1a0-4168b057dd10 20Gi RWO standard 19m

        Starting the Cluster

        Starting a stopped PostgreSQL cluster:

        1. Recreates all pods
        2. Reattaches persistent storage
        3. Restores service endpoints

        Expected behavior:

        • Cluster returns to previous state
        • No data loss occurs
        • Services resume automatically

        Initiate a Start operation request:

        apiVersion: operations.kubeblocks.io/v1alpha1 kind: OpsRequest metadata: name: pg-cluster-start-ops namespace: demo spec: # Specifies the name of the Cluster resource that this operation is targeting. clusterName: pg-cluster type: Start

        Modify the cluster spec to resume operation:

        1. Set stop: false, or

        2. Remove the stop field entirely

          kubectl patch cluster pg-cluster -n demo --type='json' -p='[ { "op": "remove", "path": "/spec/componentSpecs/0/stop" } ]'

        Verifying Cluster Start

        To confirm a successful start operation:

        1. Check cluster status transition:

          kubectl get cluster pg-cluster -n demo -w

          Example Output:

          NAME CLUSTER-DEFINITION TERMINATION-POLICY STATUS AGE pg-cluster postgresql Delete Updating 22m pg-cluster postgresql Delete Running 22m
        2. Verify pod recreation:

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

          Example Output:

          NAME READY STATUS RESTARTS AGE pg-cluster-postgresql-0 1/1 Running 0 2m pg-cluster-postgresql-1 1/1 Running 0 1m
        3. Check service endpoints:

          kubectl get endpoints pg-cluster-postgresql-postgresql -n demo

        Restarting Cluster

        Restart operations provide:

        • Pod recreation without full cluster stop
        • Component-level granularity
        • Minimal service disruption

        Use cases:

        • Configuration changes requiring restart
        • Resource refresh
        • Troubleshooting

        Using OpsRequest API

        Target a specific component for restart:

        apiVersion: operations.kubeblocks.io/v1alpha1 kind: OpsRequest metadata: name: pg-cluster-restart-ops namespace: demo spec: clusterName: pg-cluster type: Restart restart: - componentName: postgresql

        Verifying Restart Completion

        To verify a successful component restart:

        1. Track OpsRequest progress:

          kubectl get opsrequest pg-cluster-restart-ops -n demo -w

          Example Output:

          NAME TYPE CLUSTER STATUS PROGRESS AGE pg-cluster-restart-ops Restart pg-cluster Running 0/2 10s pg-cluster-restart-ops Restart pg-cluster Running 1/2 65s pg-cluster-restart-ops Restart pg-cluster Running 2/2 2m5s pg-cluster-restart-ops Restart pg-cluster Succeed 2/2 2m5s
        2. Check pod status:

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

        Note: Pods will show new creation timestamps after restart

        1. Verify component health:
          kbcli cluster describe pg-cluster -n demo

        Once the operation is complete, the cluster will return to the Running state.

        Summary

        In this guide, you learned how to:

        1. Stop a PostgreSQL cluster to suspend operations while retaining persistent storage.
        2. Start a stopped cluster to bring it back online.
        3. Restart specific cluster components to recreate their Pods without stopping the entire cluster.

        By managing the lifecycle of your PostgreSQL cluster, you can optimize resource utilization, reduce costs, and maintain flexibility in your Kubernetes environment. KubeBlocks provides a seamless way to perform these operations, ensuring high availability and minimal disruption.

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