Day-to-day operations
z4j documentation
The control plane for Python task queues. Install the brain once, connect the workers you already run, and operate scheduled work from one place.
What are you working on?
Section titled “What are you working on?”Connect your first workerCreate the admin account, prepare agent credentials and verify your connection.
Investigate a failureFollow an alert through Issues, task history and execution evidence.
Manage scheduled workChoose a timing, understand missed runs and inspect schedule history.
Prepare for productionReview deployment, access, backups and the documented security boundaries.
Start with your stack
Section titled “Start with your stack”Install the brain once. Add the framework and engine integrations to the Python processes that run your work. Installing an adapter package alone does not wire all worker types; follow the startup instructions for your engine.
Django + CeleryA guided path from installation to your first observed task.
FlaskConnect the application and its worker processes.
FastAPIWire the agent into your application lifecycle.
Plain PythonUse the framework-free runtime with your engine adapter.
Engine guides: Celery · RQ · Dramatiq · Huey · arq · taskiq
Operate and maintain
Section titled “Operate and maintain”Deployment lifecycle
Access and security
Reference
Looking for the project overview? Visit z4j.com or read what z4j does.