Turbonomic Platform Operator

The Turbonomic Platform Operator (t8c-operator) makes it easy for Turbonomic Administrators to deploy and operate Turbonomic Platform deployments in a Kubernetes infrastructure. Packaged as a container, it uses the operator pattern to manage Turbonomic-specific custom resource, following best practices to manage all the underlying Kubernetes objects for you.

This repository is used to build the Turbonomic Platform Operator (t8c-operator).

NOTE Documentation on how to deploy the Turbonomic Platform on kubernetes is being maintained in this project's wiki. Start here.

Prerequisites

You must have Docker Engine installed to build the Turbonomic Platform Operator. The Kubernetes Operator SDK also must be installed to build this project.

git clone -b v0.15.0 https://github.com/operator-framework/operator-sdk
cd operator-sdk
make install

You may need to add $GOPATH/bin to you path to run the operator-sdk command line tool:

export PATH=${PATH}:${GOPATH}/bin

Cloning this repository

git clone https://github.com/turbonomic/t8c-install.git
cd t8c-install/operator

Building the operator

You can build the operator by just running make.

Other make targets include (more info below):

make all: builds the turbonomic/t8c-operator docker image (same as make image)
make image: builds the turbonomic/t8c-operator docker image
make package: generates tarball of the turbonomic/t8c-operator docker image and installation YAML file
make local: builds the t8c-operator binary for test and debugging purposes
make clean: removes the binary build output and turbonomic/t8c-operator container image
make run: runs the t8c operator locally, monitoring the Kubernetes cluster configured in your current kubectl context
make fmt: runs go fmt on all *.go source files in this project
make lint: runs the golint utility on all *.go source files in this project

Pushing Your Turbonomic Platform Operator Image

If you are using a local, single-node Kubernetes cluster like kind, minikube or Docker Desktop, you only need to build the turbonomic/t8c-operator image. You can skip the rest of this section.

If possible, we recommend re-tagging your custom-built images and pushing them to a remote registry that your Kubernetes workers are able to pull from.

Running the Turbonomic Platform Operator

Running as a foreground process

Use this to run the operator as a local foreground process on your machine:

make run

This will use your current Kubernetes context from ~/.kube/config.

Running in Local and Remote Clusters

To deploy Turbonomic into a Kubernetes cluster, follow the documentation here.

Remember the custom resource defines your Turbonomic instance's configuration. To modify the Turbonomic platform, leverage the custom resource to make changes and apply:

kubectl apply -f https://raw.githubusercontent.com/turbonomic/t8c-install/master/operator/deploy/crds/charts_v1alpha1_xl_cr.yaml -n turbonomic

Delete the Turbonomic Deployment and the Turbonomic Platform Operator

Delete the Turbonomic custom resource, to destroy an instance of Turbonomic within the namespace

kubectl delete -f https://raw.githubusercontent.com/turbonomic/t8c-install/master/operator/deploy/crds/charts_v1alpha1_xl_cr.yaml -n turbonomic

You can stop and remove the operator by running

kubectl delete -f https://raw.githubusercontent.com/turbonomic/t8c-install/master/operator/deploy/operator.yaml -n turbonomic
kubectl delete -f https://raw.githubusercontent.com/turbonomic/t8c-install/master/operator/deploy/role_binding.yaml -n turbonomic
kubectl delete -f https://raw.githubusercontent.com/turbonomic/t8c-install/master/operator/deploy/role.yaml -n turbonomic
kubectl delete -f https://raw.githubusercontent.com/turbonomic/t8c-install/master/operator/deploy/service_account.yaml -n turbonomic
kubectl delete -f https://raw.githubusercontent.com/turbonomic/t8c-install/master/operator/deploy/crds/charts_v1alpha1_xl_crd.yaml
kubectl delete ns turbonomic

esara / t8c-install