Presto Kubernetes Operator
Kubernetes is an open source container orchestration engine for automating deployment, scaling, and management of containerized applications. Operators are software extensions to Kubernetes that make use of custom resources to manage applications and their components. Operators follow Kubernetes principles, notably the control loop.
Use this operator to manage Presto clusters which are deployed as custom resources. In short, the task of configuring, creating, managing, automatically scaling up and scaling-in of Presto cluster(s) in a Kubernetes environment has been made simple, easy and quick.
Deploying Operator
Deploying Operator - Locally
Step 1: Enable metrics server for k8s, if not already enabled. See this. This is needed for horizontal pod autoscaling.
Step 2: Build the operator
$ go build -o presto-kubernetes-operator cmd/manager/main.go
Step 3: Deploy the CRD
$ kubectl apply -f deploy/crds/falarica.io_prestos_crd.yaml
Step 4: Start the controller with the right credentials
$ ./presto-kubernetes-operator -kubeconfig /home/hemant/.kube/config
Deploying Operator - GKE
Step 1: Enable metrics server for GKE, if not already enabled. See this. This is needed for horizontal pod autoscaling.
Step 2: Create Operator Image Using Google CloudBuild
$ docker/gcloudDockerBuild.sh
Step 3: Deploy the CRD
$ kubectl apply -f deploy/crds/falarica.io_prestos_crd.yaml
Step 4: Update the Operator yaml with image name
# Here gcr.io/fluid-tangent-249303/presto-kubernetes-operator is the name of image.
# Replace it with your image name
$ sed -i 's/REPLACE_IMAGE/gcr.io\/fluid-tangent-249303\/presto-kubernetes-operator/g' deploy/operator.yaml
Step 5: Launch the operator
$ kubectl apply -f deploy/operator.yaml
Deploy Presto Cluster
Deploy the presto cluster
$ ## Deploy Presto
$ kubectl apply -f deploy/crds/falarica_prestodb.yaml
Further Details
- Creating Presto Cluster
- Managing Presto Cluster
- Autoscaling
- Catalogs
- Services
- Additional Volumes
- HTTPS Support
- Caveats/Future Work