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73 lines
2.0 KiB
Markdown
73 lines
2.0 KiB
Markdown
# Deployment guide for Kubernetes
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> Note: The best place to start is the README file in the faas or faas-netes repo.
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## Kubernetes
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### Build a cluster
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You can start evaluating FaaS and building functions on your laptop or on a VM (cloud or on-prem).
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* [10 minute guides for minikube / kubeadm](https://blog.alexellis.io/tag/k8s/)
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### Deploy OpenFaaS
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* Clone the code
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```
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$ git clone https://github.com/alexellis/faas-netes
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```
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* Deploy the services
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```
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$ cd faas-netes
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$ kubectl apply -f ./faas.yml,monitoring.yml,rbac.yml
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```
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That's it. You now have OpenFaaS deployed.
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For simplicity the default configuration uses NodePorts rather than an IngressController (which is more complicated to setup).
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| Service | TCP port |
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--------------------|----------|
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| API Gateway / UI | 31112 |
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| Prometheus | 31119 |
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> If you're an advanced Kubernetes user, you can add an IngressController to your stack and remove the NodePort assignments.
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* Deploy a sample function
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There are currently no sample functions built into this stack, but we can deploy them quickly via the UI or FaaS-CLI.
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**Use the CLI**
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Follow the tutorial below, but change your gateway URL from localhost:8080 to kubernetes-node-ip:31112
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i.e.
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```
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provider:
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name: faas
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gateway: http://192.168.4.95:31112
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```
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[Your first serverless Python function with OpenFaaS](https://blog.alexellis.io/first-faas-python-function/)
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You can also deploy the samples from the [FaaS-cli](https://github.com/alexellis/faas-cli), but change the gateway address as above.
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**Use the UI**
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Click "New Function" and fill it out with the following:
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| Field | Value |
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-------------|------------------------------|
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| Service | nodeinfo |
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| Image | functions/nodeinfo:latest |
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| fProcess | node main.js |
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| Network | default |
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* Test the function
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Your function will appear after a few seconds and you can click "Invoke"
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