[KOGITO-8049] Update the CNCF Serverless Workflow Golang SDK to Specs v0.8

Signed-off-by: Davide Salerno <dsalerno@redhat.com>
4 files changed
tree: c09d21a778725ec377accae335d8db6df8184854
  1. .github/
  2. api/
  3. builder/
  4. bundle/
  5. config/
  6. constants/
  7. controllers/
  8. converters/
  9. hack/
  10. test/
  11. .gitignore
  12. Dockerfile
  13. go.mod
  14. go.sum
  15. LICENSE
  16. main.go
  17. Makefile
  18. operator.yaml
  19. PROJECT
  20. README.md
README.md

Kogito Serverless Operator

The Kogito Serverless Operator is built in order to help the Kogito Serverless users to build and deploy easily on Kubernetes/Knative/OpenShift a service based on Kogito that it will be able to execute a workflow.

The CustomResources defined and managed by this operator are the following:

  • Workflow

PreRequisites

operator-sdk-v1.22.2

Go 1.19

Description

The aim of this project is to collect everything is needed for a proof-of-concept of the Kogito Serverless Workflow CRD

Getting Started

You’ll need a Kubernetes cluster to run against. You can use KIND to get a local cluster for testing, or run against a remote cluster. Note: Your controller will automatically use the current context in your kubeconfig file (i.e. whatever cluster kubectl cluster-info shows).

Running on the cluster

  1. Install Instances of Custom Resources:
kubectl apply -f config/samples/
  1. Build and push your image to the location specified by IMG:
make docker-build docker-push IMG=<some-registry>/kogito-serverless-operator:tag
  1. Deploy the controller to the cluster with the image specified by IMG:
make deploy IMG=<some-registry>/kogito-serverless-operator:tag

Uninstall CRDs

To delete the CRDs from the cluster:

make uninstall

Undeploy controller

UnDeploy the controller to the cluster:

make undeploy

Minikube or CRC

Test the Greeting workflow on Minikube

A good starting point to check that everything is working well, it is the Greeting workflow.

Follow these steps to create a container that you can than deploy as a Service on Kubernetes or KNative.

  1. Start Minikube
minikube start --cpus 4 --memory 4096 --addons registry --insecure-registry "10.0.0.0/24"
  1. Create a namespace for the building phase
kubectl create namespace kogito-builder
  1. Create a secret
kubectl create secret docker-registry regcred --docker-server=<registry_url> --docker-username=<registry_username> --docker-password=<registry_password> --docker-email=<registry_email> -n kogito-builder
  1. Build and push your image to the location specified by IMG:
make container-build container-push IMG=<some-registry>/kogito-serverless-operator:tag
  1. Deploy the controller to the cluster with the image specified by IMG:
make deploy IMG=<some-registry>/kogito-serverless-operator:tag
  1. Create a dedicated Namespace for the test:
kubectl create namespace greeting-workflow
  1. Install Instances of Custom Resources:
kubectl apply -f config/samples/sw.kogito.kie.org__v08_kogitoserverlessworkflow.yaml -n greeting-workflow

Contributing

// TODO(user): Add detailed information on how you would like others to contribute to this project

How it works

This project aims to follow the Kubernetes Operator pattern

It uses Controllers which provides a reconcile function responsible for synchronizing resources untile the desired state is reached on the cluster

Test It Out

  1. Install the CRDs into the cluster:
make install
  1. Run your controller (this will run in the foreground, so switch to a new terminal if you want to leave it running):
make run

NOTE: You can also run this in one step by running: make install run

Modifying the API definitions

If you are editing the API definitions, generate the manifests such as CRs or CRDs using:

make manifests

NOTE: Run make --help for more information on all potential make targets

More information can be found via the Kubebuilder Documentation

License

Copyright 2022.

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.