Create a Couchbase Deployment
Before you attempt to deploy a Couchbase Server cluster with the Couchbase Autonomous Operator, ensure that you have done the following:
After you unpack the download, the resulting directory will be titled something like
To deploy a Couchbase Server cluster using the Operator, all you have to do is create a CouchbaseCluster configuration file that describes what you want the cluster to look like (e.g. number of nodes, types of services, system resources, etc), and then push that configuration file into Kubernetes. Like all Kubernetes configurations, a CouchbaseCluster is defined using either YAML or JSON (YAML is preferred by Kubernetes).
The Operator package contains an example CouchbaseCluster configuration file (
couchbase-cluster.yaml), also listed here:
apiVersion: v1 kind: Secret metadata: name: cb-example-auth type: Opaque data: username: QWRtaW5pc3RyYXRvcg== # Administrator password: cGFzc3dvcmQ= # password --- apiVersion: couchbase.com/v2 kind: CouchbaseBucket metadata: name: default (1) spec: memoryQuota: 128Mi --- apiVersion: couchbase.com/v2 kind: CouchbaseCluster metadata: name: cb-example (2) spec: image: couchbase/server:6.5.1 (3) security: adminSecret: cb-example-auth networking: exposeAdminConsole: true adminConsoleServices: - data buckets: managed: true servers: - size: 3 (4) name: all_services services: - data - index - query - search - eventing - analytics
By taking a quick look at this configuration file, you can see that it defines a cluster (with buckets) by specifying the following:
|1||Buckets: 1 bucket named
|4||Size: 3-node cluster with all services on each node|
You can use this example CouchbaseCluster configuration file "as-is" to test out how the Operator deploys a Couchbase Server cluster. However, to deploy a Couchbase cluster that is more specifically tailored to your development and production needs, you need to create your own custom configuration file that conforms to the CouchbaseCluster specification.
Ensure that your Kubernetes environment has the appropriate resources for the Couchbase cluster that you’re trying to deploy.
In the case of Minikube, the default memory allocation is 2 GB. This is not sufficient for running a three-node Couchbase cluster like the one in the example configuration. If you’re using the example configuration for demo purposes, you should set the memory allocation to 4 GB at a minimum (8 GB recommended). You should also increase the CPU allocation if you experience poor performance.
You can set the recommended memory and CPU allocation when you start Minikube:
The next step after creating the CouchbaseCluster configuration file is to push it to Kubernetes. To push the configuration, run the following command:
$ kubectl create -f couchbase-cluster.yaml
$ oc create -f couchbase-cluster.yaml
After receiving the configuration, the Operator automatically begins creating the cluster. The amount of time it takes to create the cluster depends on the configuration. You can track the progress of cluster creation using the cluster status.
Once the cluster has been provisioned, you’ll see that various pods, a service, and a Couchbase cluster have been created. If you used the example configuration (which calls for a three-node cluster) you should see three pods created. The Operator also creates an internal headless service that can be used by applications deployed inside the same Kubernetes namespace to connect to the Couchbase cluster.
Run the following command to see the newly created pods:
The output should look like:
NAME READY STATUS RESTARTS AGE cb-example-0000 1/1 Running 0 1m cb-example-0001 1/1 Running 0 1m cb-example-0002 1/1 Running 0 1m couchbase-operator-1917615544-pd4q6 1/1 Running 0 8m
CouchbaseCluster object status is continually updated during cluster operation and can be used to trigger external events.
CouchbaseCluster status reference for details.