Feast on Kubernetes

This page covers deploying Feast on Kubernetes, including the Feast Operator and feature servers.

Overview

Kubernetes is a common target environment for running Feast in production. You can use Kubernetes to:

1. Run Feast feature servers for online feature retrieval.
2. Run scheduled and ad-hoc jobs (e.g. materialization jobs) as Kubernetes Jobs.
3. Operate Feast components using Kubernetes-native primitives.

Feast Operator

To deploy Feast components on Kubernetes, use the included feast-operator.

For first-time Operator users, it may be a good exercise to try the Feast Operator Quickstart. The quickstart demonstrates some of the Operator's built-in features, e.g. git repos, feast apply jobs, etc.

Deploy Feast feature servers on Kubernetes

Basic steps

1. Install kubectl
2. Install the Operator

Install the latest release:

kubectl apply -f https://raw.githubusercontent.com/feast-dev/feast/refs/heads/stable/infra/feast-operator/dist/install.yaml

OR, install a specific version:

kubectl apply -f https://raw.githubusercontent.com/feast-dev/feast/refs/tags/<version>/infra/feast-operator/dist/install.yaml

1. Deploy a Feature Store

kubectl apply -f https://raw.githubusercontent.com/feast-dev/feast/refs/heads/stable/infra/feast-operator/config/samples/v1_featurestore.yaml

Verify the status:

$ kubectl get feast
NAME     STATUS   AGE
sample   Ready    2m21s

The above will install a simple FeatureStore CR like the following. By default, it will run the Online Store feature server:

apiVersion: feast.dev/v1
kind: FeatureStore
metadata:
  name: sample
spec:
  feastProject: my_project

More advanced FeatureStore CR examples can be found in the feast-operator samples directory.

Important note: Scaling a Feature Store Deployment should only be done if the configured data store(s) will support it.

Please check the how-to guide for some specific recommendations on how to scale Feast.