Awesome

The openfaas-workshop was written in 2017/2018, however more appropriate and recent materials now exist:

openfaas-workshop

This is a self-paced workshop for learning how to build, deploy and run serverless functions with OpenFaaS.

In this workshop you begin by deploying OpenFaaS to your laptop or a remote cluster with Docker for Mac or Windows. You will then kick the tires with the OpenFaaS UI, CLI and Function Store. After building, deploying an invoking your own Serverless Functions in Python you'll go on to cover topics such as: managing dependencies with pip, dealing with API tokens through secure secrets, monitoring functions with Prometheus, invoking functions asynchronously and chaining functions together to create applications. The labs culminate by having you create your very own GitHub bot which can respond to issues automatically. The same method could be applied by connecting to online event-streams through IFTTT.com - this will enable you to build bots, auto-responders and integrations with social media and IoT devices.

Finally the labs cover more advanced topics and give suggestions for further learning.

Translations

日本語

Learn for free, show your appreciation as a GitHub Sponsor

OpenFaaS along with these materials are provided for free and require time and effort to maintain.

Become a sponsor for OpenFaaS on GitHub

Requirements:

We walk through how to install these requirements in Lab 1. Please do Lab 1 before you attend an instructor-led workshop.

Functions will be written in Python, so prior programming or scripting experience is preferred
Install the recommended code-editor / IDE VSCode
For Windows install Git Bash
Preferred OS: MacOS, Windows 10 Pro/Enterprise, Ubuntu Linux

Docker:

Docker CE for Mac/Windows Edge edition
Docker CE for Linux

Note: As a last resort if you have an incompatible PC you can run the workshop on https://labs.play-with-docker.com/.

Instructor-led workshops

If you're taking an instructor-led workshops then a link will be shared to join the OpenFaaS Slack community. Use the designated channel for the workshop to discuss comments, questions and suggestions.

Pick your track

In Lab 1 you will pick your track and then throughout the labs look out for any special commands needed for the container orchestrator for your track.

Kubernetes

You can also learn about Serverless on Kubernetes using OpenFaaS.

The recommendation from the OpenFaaS community is that you run Kubernetes in production, but all the knowledge you can is transferrable and functions do not have to be rebuilt.

Lab 1 - Prepare for OpenFaaS

Install pre-requisites
Set up a single-node cluster with Kubernetes
Docker Hub account
OpenFaaS CLI
Deploy OpenFaaS

Lab 2 - Test things out

Use the UI Portal
Deploy via the Function Store
Learn about the CLI
Find metrics with Prometheus

Lab 3 - Introduction to Functions

Scaffold or generate a new function
Build the astronaut-finder function
Add dependencies with pip
Troubleshooting: find the container's logs
Troubleshooting: verbose output with write_debug
Use custom and third-party language templates
Discover community templates using the Template Store

Lab 4 - Go deeper with functions

Inject configuration through environmental variables
- At deployment using yaml
- Dynamically using HTTP context - querystring / headers etc
Security: read-only filesystems
Making use of logging
Create Workflows
- Chaining functions on the client-side
- Call one function from another

Lab 5 - Create a GitHub bot

Build issue-bot - an auto-responder for GitHub Issues

Get a GitHub account
Set up a tunnel with ngrok
Create an webhook receiver issue-bot
Receive webhooks from GitHub
Deploy SentimentAnalysis function
Apply labels via the GitHub API
Complete the function

Lab 6 - HTML for your functions

Generate and return basic HTML from a function
Read and return a static HTML file from disk
Collaborate with other functions

Lab 7 - Asynchronous Functions

Call a function synchronously vs asynchronously
View the queue-worker's logs
Use an X-Callback-Url with requestbin and ngrok

Lab 8 - Advanced Feature - Timeouts

Adjust timeouts with read_timeout
Accommodate longer running functions

Lab 9 - Advanced Feature - Auto-scaling

See auto-scaling in action
- Some insights on min and max replicas
- Discover and visit local Prometheus
- Execute and Prometheus query
- Invoke a function using curl
- Observe auto-scaling kicking in

Lab 10 - Advanced Feature - Secrets

Adapt issue-bot to use a secret
- Create a Kubernetes secret with faas-cli
- Access the secret within the function

Lab 11 - Advanced feature - Trust with HMAC

Apply trust to functions using HMAC

You can start with the first lab Lab 1.

Tear down / Clear up

You can find how to stop and remove OpenFaaS here

Next steps

If you're in an instructor-led workshop and have finished the labs you may want to go back through the labs and edit/alter the code and values or carry out some of your own experiments.

Here are some ideas for follow-on tasks / topics:

OpenFaaS Cloud

Try the multi-user, managed experience of OpenFaaS - either on the Community Cluster, or by hosting your own OpenFaaS Cloud.

Docs: OpenFaaS Cloud

TLS

Enable HTTPS on your gateway with Kubernetes Ingress

CI/CD

Setup Jenkins, Google Cloud Build or GitLab and build and deploy your own functions using the OpenFaaS CLI:

Intro to CI/CD

Storage / databases

Instrumentation / monitoring

Explore the metrics available in Prometheus

Additional blog posts and tutorials

Appendix

The appendix contains some additional content.

Acknowledgements

Thanks to @iyovcheva, @BurtonR, @johnmccabe, @laurentgrangeau, @stefanprodan, @kenfdev, @templum & @rgee0 for contributing to, testing and translating the labs.