faas-netes
faas-netes
is an OpenFaaS provider which enables Kubernetes for OpenFaaS. The existing REST API, CLI and UI are fully compatible.
OpenFaaS also runs well on managed Kubernetes services like AKS, EKS and GKE. See our list of tutorials in the documentation site for more.
OpenFaaS (Functions as a Service) is a framework for building serverless functions with Docker and Kubernetes which has first class support for metrics. Any process can be packaged as a function enabling you to consume a range of web events without repetitive boiler-plate coding.
In this README you'll find a technical overview and instructions for deploying to a Kubernetes cluster.
- Platform for deploying serverless-style workloads - microservices and functions
- Native Kubernetes integrations (API and ecosystem)
- Built-in UI portal
- YAML templates & helm chart
- Over 19k GitHub stars
- Independent open-source project with over 240 contributors
- Operator available to use Custom Resource Definitions (CRDs) openfaas-operator
- OAuth2 / OIDC authz available
Get started
OpenFaaS can form a complete stack for Cloud Native application development called PLONK including: Prometheus, Linux/Linkerd, OpenFaaS, NATS/Nginx and Kubernetes. Introducing PLONK.
Reference guide
Configuration via Environmental variables
faas-netes can be configured with environment variables, but for a full set of options see the helm chart.
Option |
Usage |
httpProbe |
Boolean - use http probe type for function readiness and liveness. Default: false |
write_timeout |
HTTP timeout for writing a response body from your function (in seconds). Default: 60s |
read_timeout |
HTTP timeout for reading the payload from the client caller (in seconds). Default: 60s |
image_pull_policy |
Image pull policy for deployed functions (Always , IfNotPresent , Never ). Default: Always |
gateway.resources |
CPU/Memory resources requests/limits (memory: 120Mi , cpu: 50m ) |
faasnetes.resources |
CPU/Memory resources requests/limits (memory: 120Mi , cpu: 50m ) |
operator.resources |
CPU/Memory resources requests/limits (memory: 120Mi , cpu: 50m ) |
queueWorker.resources |
CPU/Memory resources requests/limits (memory: 120Mi , cpu: 50m ) |
prometheus.resources |
CPU/Memory resources requests/limits (memory: 512Mi ) |
alertmanager.resources |
CPU/Memory resources requests/limits (memory: 25Mi ) |
nats.resources |
CPU/Memory resources requests/limits (memory: 120Mi ) |
faasIdler.resources |
CPU/Memory resources requests/limits (memory: 64Mi ) |
basicAuthPlugin.resources |
CPU/Memory resources requests/limits (memory: 50Mi , cpu: 20m ) |
Readiness checking
The readiness checking for functions assumes you are using our function watchdog which writes a .lock file in the default "tempdir" within a container. To see this in action you can delete the .lock file in a running Pod with kubectl exec
and the function will be re-scheduled.
Namespaces
By default all OpenFaaS functions and services are deployed to the openfaas
and openfaas-fn
namespaces. To alter the namespace use the helm
chart.
Ingress
To configure ingress see the helm
chart. By default NodePorts are used. These are listed in the deployment guide.
Image pull policy
By default, deployed functions will use an imagePullPolicy of Always
, which ensures functions using static image tags are refreshed during an update.
If this is not desired behavior, set the image_pull_policy
environment variable to an alternative. IfNotPresent
is particularly useful when developing locally with minikube.
In this case, you can set your local environment to use minikube's docker so faas-cli build
builds directly into minikube's image store.
faas-cli push
is unnecessary in this workflow - use faas-cli build
then faas-cli deploy
.
Note: When set to Never
, only local (or pulled) images will work. When set to IfNotPresent
, function deployments may not be updated when using static image tags.
Kubernetes Versions
faas-netes maintainers strive to support as many Kubernetes versions as possible and it is currently compatible with Kubernetes 1.11 and higher. Instructions for OpenShift are also available in the documentation.
Contributing
You can quickly create a standard development environment using
make start-kind
this will use KinD to create a single node cluster and install the latest version of OpenFaaS via the Helm chart.
Check the contributor guide in CONTRIBUTING.md
for more details on the workflow, processes, and additional tips.