Feast example using Podman and Podman Compose

This guide explains how to deploy Feast remote server components using Podman Compose locally and run an example using the client.

Prerequisites

Podman: Podman installation guide.
Podman Compose: Podman Compose Installation guide.
Python 3.9+ environment
Feast CLI

Setup

1. Feast Project Setup

The project feature_repo already created using feast init command

2. Run the Podman Compose File

Use the docker-compose.yml file to install and run the Feast feature servers (online, offline, and registry) on podman. The docker-compose file uses the quay.io/feastdev/feature-server:latest image. Each respective service has specific port mappings and maps the volume from the ./feature_repo configuration.
To start the feature servers, run the following command:
bash
```
podman-compose up -d
```
This will launch the necessary containers for online, offline, and registry feature servers.

3. Verify the Installation

Use the podman ps command to verify that the containers are running:

bash

podman ps

Example output:

CONTAINER ID  IMAGE                                     COMMAND               CREATED        STATUS        PORTS                   NAMES
61442d6d6ef3  quay.io/feastdev/feature-server:latest  feast -c /feature...  2 minutes ago  Up 2 minutes  0.0.0.0:6566->6566/tcp  online-feature-server
1274c21716a6  quay.io/feastdev/feature-server:latest  feast -c /feature...  2 minutes ago  Up 2 minutes  0.0.0.0:8815->8815/tcp  offline-feature-server
4e38ca8c39db  quay.io/feastdev/feature-server:latest  feast -c /feature...  2 minutes ago  Up 2 minutes  0.0.0.0:6570->6570/tcp  registry-feature-server

Alternatively, you can verify the running containers through Podman Desktop:

4. Run Feast Apply

To apply the feature store definitions to the remote registry, run the following command:
bash
```
podman exec registry-feature-server feast -c /feature_repo apply
```

5. Run Client Examples

The client folder contains example client-side configurations and code:
- feature_store.yaml: Configuration for the feature store.
- test.py: Example Python script to interact with the Feast server.

6. Cleanup

To stop and remove the running containers, run the following command:
bash
```
podman-compose down
```
This will stop all the feature server containers and clean up the environment.