First check that the helm command is available and the version is v2.5.0 or newer.
$ helm version
Client: &version.Version{SemVer:"v2.5.0", GitCommit:"012cb0ac1a1b2f888144ef5a67b8dab6c2d45be6", GitTreeState:"clean"}
Server: &version.Version{SemVer:"v2.5.0", GitCommit:"012cb0ac1a1b2f888144ef5a67b8dab6c2d45be6", GitTreeState:"clean"}
Ensure the kubectl client is installed and can connect to your Kubernetes cluster.
The Drycc Chart Repository contains everything needed to install Drycc Workflow onto a Kubernetes cluster, with a single helm install drycc/workflow --namespace drycc command.
Add this repository to Helm:
$ helm repo add drycc https://charts.drycc.cc/stable
Now that Helm is installed and the repository has been added, install Workflow by running:
$ helm install drycc/workflow --namespace drycc
Helm will install a variety of Kubernetes resources in the drycc namespace.
Wait for the pods that Helm launched to be ready. Monitor their status by running:
$ kubectl --namespace=drycc get pods
If it's preferred to have kubectl automatically update as the pod states change, run (type Ctrl-C to stop the watch):
$ kubectl --namespace=drycc get pods -w
Depending on the order in which the Workflow components initialize, some pods may restart. This is common during the installation: if a component's dependencies are not yet available, that component will exit and Kubernetes will automatically restart it.
Here, it can be seen that the controller, builder and registry all took a few loops before they were able to start:
$ kubectl --namespace=drycc get pods
NAME READY STATUS RESTARTS AGE
drycc-builder-hy3xv 1/1 Running 5 5m
drycc-controller-g3cu8 1/1 Running 5 5m
drycc-database-rad1o 1/1 Running 0 5m
drycc-logger-fluentd-1v8uk 1/1 Running 0 5m
drycc-logger-fluentd-esm60 1/1 Running 0 5m
drycc-logger-sm8b3 1/1 Running 0 5m
drycc-minio-4ww3t 1/1 Running 0 5m
drycc-registry-asozo 1/1 Running 1 5m
Once all of the pods are in the READY state, Drycc Workflow is up and running!