This week, the AI space saw a surge in open-source enthusiasm, with new tools and libraries capturing developer attention. While the headlines focus on stars and strategic partnerships, we’re diving into the nitty-gritty of how we’ve built a self-hosted Postiz instance using Docker Compose and connected it with a Python client that communicates via the /api/public/v1/posts endpoint.
At Apex Grid Technologies, we’ve been evaluating lightweight, self-hosted social platforms as part of our broader exploration into on-device AI integration. Postiz stood out for its minimalism and open API, which made it a natural fit for our experimentation. We chose to self-host it using Docker Compose to ensure we had full control over the environment and could easily scale or modify it as needed.
Setting up Postiz with Docker Compose was straightforward. We used the official Docker image and configured it with our desired settings, such as database connections and authentication options. Here’s a simplified version of our docker-compose.yml:
version: '3.8'
services:
postiz:
image: postiz/postiz:latest
ports:
- "8080:8080"
environment:
POSTIZ_DB_URL: "postgres://user:password@db:5432/postiz"
POSTIZ_JWT_SECRET: "supersecretkey"
depends_on:
- db
db:
image: postgres:15
environment:
POSTGRES_USER: user
POSTGRES_PASSWORD: password
POSTGRES_DB: postiz
volumes:
- postgres_data:/var/lib/postgresql/data
volumes:
postgres_data: