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Deployment guide for Kubernetes
Note: The best place to start is the README file in the faas or faas-netes repo.
Kubernetes
Build a cluster
You can start evaluating FaaS and building functions on your laptop or on a VM (cloud or on-prem).
Deploy OpenFaaS
- Clone the code
$ git clone https://github.com/alexellis/faas-netes
- Deploy the services
$ cd faas-netes
$ kubectl apply -f ./faas.yml,monitoring.yml,rbac.yml
That's it. You now have OpenFaaS deployed.
For simplicity the default configuration uses NodePorts rather than an IngressController (which is more complicated to setup).
| Service | TCP port |
|---|---|
| API Gateway / UI | 31112 |
| Prometheus | 31119 |
If you're an advanced Kubernetes user, you can add an IngressController to your stack and remove the NodePort assignments.
- Deploy a sample function
There are currently no sample functions built into this stack, but we can deploy them quickly via the UI or FaaS-CLI.
Use the CLI
Follow the tutorial below, but change your gateway URL from localhost:8080 to kubernetes-node-ip:31112
i.e.
provider:
name: faas
gateway: http://192.168.4.95:31112
Your first serverless Python function with OpenFaaS
You can also deploy the samples from the FaaS-cli, but change the gateway address as above.
Use the UI
Click "New Function" and fill it out with the following:
| Field | Value |
|---|---|
| Service | nodeinfo |
| Image | functions/nodeinfo:latest |
| fProcess | node main.js |
| Network | default |
- Test the function
Your function will appear after a few seconds and you can click "Invoke"