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Install Percona Server for MongoDB on Amazon Elastic Kubernetes Service (EKS)

This guide shows you how to deploy Percona Operator for MongoDB on Amazon Elastic Kubernetes Service (EKS). The document assumes some experience with the platform. For more information on the EKS, see the Amazon EKS official documentation .

Prerequisites

The following tools are used in this guide and therefore should be preinstalled:

  1. AWS Command Line Interface (AWS CLI) for interacting with the different parts of AWS. You can install it following the official installation instructions for your system .

  2. eksctl to simplify cluster creation on EKS. It can be installed along its installation notes on GitHub .

  3. kubectl to manage and deploy applications on Kubernetes. Install it following the official installation instructions .

Also, you need to configure AWS CLI with your credentials according to the official guide .

Create the EKS cluster

  1. To create your cluster, you will need the following data:

    • name of your EKS cluster,
    • AWS region in which you wish to deploy your cluster,
    • the amount of nodes you would like tho have,
    • the desired ratio between on-demand and spot instances in the total number of nodes.

    Note

    spot instances are not recommended for production environment, but may be useful e.g. for testing purposes.

    After you have settled all the needed details, create your EKS cluster following the official cluster creation instructions .

  2. After you have created the EKS cluster, you also need to install the Amazon EBS CSI driver on your cluster. See the official documentation on adding it as an Amazon EKS add-on.

Install the Operator and deploy your MongoDB cluster

  1. Deploy the Operator. By default deployment will be done in the default namespace. If that’s not the desired one, you can create a new namespace and/or set the context for the namespace as follows (replace the <namespace name> placeholder with some descriptive name):

    $ kubectl create namespace <namespace name>
$ kubectl config set-context $(kubectl config current-context) --namespace=<namespace name>

    At success, you will see the message that namespace/<namespace name> was created, and the context was modified.

    Deploy the Operator by applying the deploy/bundle.yaml manifest from the Operator source tree.

    You can apply it without downloading, using the following command:

    $ kubectl apply --server-side -f https://raw.githubusercontent.com/percona/percona-server-mongodb-operator/v1.19.1/deploy/bundle.yaml
    Expected output 
    customresourcedefinition.apiextensions.k8s.io/perconaservermongodbs.psmdb.percona.com serverside-applied
customresourcedefinition.apiextensions.k8s.io/perconaservermongodbbackups.psmdb.percona.com serverside-applied
customresourcedefinition.apiextensions.k8s.io/perconaservermongodbrestores.psmdb.percona.com serverside-applied
role.rbac.authorization.k8s.io/percona-server-mongodb-operator serverside-applied
serviceaccount/percona-server-mongodb-operator serverside-applied    
rolebinding.rbac.authorization.k8s.io/service-account-percona-server-mongodb-operator serverside-applied
deployment.apps/percona-server-mongodb-operator serverside-applied

    Clone the repository with all manifests and source code by executing the following command:

    $ git clone -b v1.19.1 https://github.com/percona/percona-server-mongodb-operator

    Edit the deploy/bundle.yaml file: add the following affinity rules to the spec part of the percona-server-mongodb-operator Deployment:

        apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: percona-server-mongodb-operator
    spec:
      replicas: 1
      selector:
        matchLabels:
          name: percona-server-mongodb-operator
      template:
        metadata:
          labels:
            name: percona-server-mongodb-operator
        spec:
          affinity:
            nodeAffinity:
              requiredDuringSchedulingIgnoredDuringExecution:
                nodeSelectorTerms:
                  - matchExpressions:
                    - key: kubernetes.io/arch
                      operator: In
                      values:
                        - arm64

    After editing, apply your modified deploy/bundle.yaml file as follows:

    $ kubectl apply --server-side -f deploy/bundle.yaml
    Expected output 
    customresourcedefinition.apiextensions.k8s.io/perconaservermongodbs.psmdb.percona.com serverside-applied
customresourcedefinition.apiextensions.k8s.io/perconaservermongodbbackups.psmdb.percona.com serverside-applied
customresourcedefinition.apiextensions.k8s.io/perconaservermongodbrestores.psmdb.percona.com serverside-applied
role.rbac.authorization.k8s.io/percona-server-mongodb-operator serverside-applied
serviceaccount/percona-server-mongodb-operator serverside-applied    
rolebinding.rbac.authorization.k8s.io/service-account-percona-server-mongodb-operator serverside-applied
deployment.apps/percona-server-mongodb-operator serverside-applied

  2. The Operator has been started, and you can deploy your MongoDB cluster:

    $ kubectl apply -f https://raw.githubusercontent.com/percona/percona-server-mongodb-operator/v1.19.1/deploy/cr.yaml
    Expected output 
    perconaservermongodb.psmdb.percona.com/my-cluster-name created

    Note

    This deploys default MongoDB cluster configuration, three mongod, three mongos, and three config server instances. Please see deploy/cr.yaml and Custom Resource Options for the configuration options. You can clone the repository with all manifests and source code by executing the following command:

    $ git clone -b v1.19.1 https://github.com/percona/percona-server-mongodb-operator

    After editing the needed options, apply your modified deploy/cr.yaml file as follows:

    $ kubectl apply -f deploy/cr.yaml

    Edit the deploy/cr.yaml file: set the following affinity rules in all affinity subsections:

    ....
affinity:
  advanced:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: kubernetes.io/arch
            operator: In
            values:
            - arm64

    Also, set image and backup.image Custom Resource options to special multi-architecture image versions by adding a -multi suffix to their tags:

    ...
image: percona/percona-server-mongodb:7.0.14-8-multi
...
backup:
  ...
  image: percona/percona-backup-mongodb:2.8.0-multi

    Please note, that currently monitoring with PMM is not supported on ARM64 configurations.

    After editing, apply your modified deploy/cr.yaml file as follows:

    $ kubectl apply -f deploy/cr.yaml
    Expected output 
    perconaservermongodb.psmdb.percona.com/my-cluster-name created

    The creation process may take some time. When the process is over your cluster will obtain the ready status. You can check it with the following command:

    $ kubectl get psmdb
    Expected output 
    NAME              ENDPOINT                                           STATUS   AGE
my-cluster-name   my-cluster-name-mongos.default.svc.cluster.local   ready    5m26s

Verifying the cluster operation

It may take ten minutes to get the cluster started. When kubectl get psmdb command finally shows you the cluster status as ready, you can try to connect to the cluster.

To connect to Percona Server for MongoDB you need to construct the MongoDB connection URI string. It includes the credentials of the admin user, which are stored in the Secrets object.

  1. List the Secrets objects

    $ kubectl get secrets -n <namespace>

    The Secrets object you are interested in has the my-cluster-name-secrets name by default.

  2. View the Secret contents to retrive the admin user credentials.

    $ kubectl get secret my-cluster-name-secrets -o yaml
    The command returns the YAML file with generated Secrets, including the MONGODB_DATABASE_ADMIN_USER and MONGODB_DATABASE_ADMIN_PASSWORD strings, which should look as follows:

    Sample output 
    ...
data:
  ...
  MONGODB_DATABASE_ADMIN_PASSWORD: aDAzQ0pCY3NSWEZ2ZUIzS1I=
  MONGODB_DATABASE_ADMIN_USER: ZGF0YWJhc2VBZG1pbg==

    The actual login name and password on the output are base64-encoded. To bring it back to a human-readable form, run:

    $ echo 'MONGODB_DATABASE_ADMIN_USER' | base64 --decode
$ echo 'MONGODB_DATABASE_ADMIN_PASSWORD' | base64 --decode

  3. Run a container with a MongoDB client and connect its console output to your terminal. The following command does this, naming the new Pod percona-client:

    $ kubectl run -i --rm --tty percona-client --image=percona/percona-server-mongodb:7.0.14-8 --restart=Never -- bash -il

    Executing it may require some time to deploy the corresponding Pod.

  4. Now run mongosh tool inside the percona-client command shell using the admin user credentialds you obtained from the Secret, and a proper namespace name instead of the <namespace name> placeholder. The command will look different depending on whether sharding is on (the default behavior) or off:

    $ mongosh "mongodb://databaseAdmin:databaseAdminPassword@my-cluster-name-mongos.<namespace name>.svc.cluster.local/admin?ssl=false"

    $ mongosh "mongodb+srv://databaseAdmin:databaseAdminPassword@my-cluster-name-rs0.<namespace name>.svc.cluster.local/admin?replicaSet=rs0&ssl=false"

    Note

    If you are using MongoDB versions earler than 6.x (such as 5.0.29-25 instead of the default 7.0.14-8 variant), substitute mongosh command with mongo in the above examples.

Troubleshooting

If kubectl get psmdb command doesn’t show ready status too long, you can check the creation process with the kubectl get pods command:

$ kubectl get pods
Expected output 
NAME                                               READY   STATUS    RESTARTS   AGE
my-cluster-name-cfg-0                              2/2     Running   0          11m
my-cluster-name-cfg-1                              2/2     Running   1          10m
my-cluster-name-cfg-2                              2/2     Running   1          9m
my-cluster-name-mongos-0                           1/1     Running   0          11m
my-cluster-name-mongos-1                           1/1     Running   0          11m
my-cluster-name-mongos-2                           1/1     Running   0          11m
my-cluster-name-rs0-0                              2/2     Running   0          11m
my-cluster-name-rs0-1                              2/2     Running   0          10m
my-cluster-name-rs0-2                              2/2     Running   0          9m
percona-server-mongodb-operator-665cd69f9b-xg5dl   1/1     Running   0          37m

If the command output had shown some errors, you can examine the problematic Pod with the kubectl describe <pod name> command as follows:

$ kubectl describe pod my-cluster-name-rs0-2

Review the detailed information for Warning statements and then correct the configuration. An example of a warning is as follows:

Warning FailedScheduling 68s (x4 over 2m22s) default-scheduler 0/1 nodes are available: 1 node(s) didn’t match pod affinity/anti-affinity, 1 node(s) didn’t satisfy existing pods anti-affinity rules.

Removing the EKS cluster

To delete your cluster, you will need the following data:

  • name of your EKS cluster,
  • AWS region in which you have deployed your cluster.

You can clean up the cluster with the eksctl command as follows (with real names instead of <region> and <cluster name> placeholders):

$ eksctl delete cluster --region=<region> --name="<cluster name>"

The cluster deletion may take time.

Warning

After deleting the cluster, all data stored in it will be lost!

Last update: 2025-04-16