This repository contains everything you need to run Prefect Orion, a Prefect agent, or the Prefect CLI using Docker Compose.
Thanks to Paco Ibañez for his excellent work in this repository, which helped me get started. I don't intend to replace his work. Instead, my repository aims to use Docker Compose to help you experiment with Prefect 2 locally and explore the different services you may need in a production environment.
There are a few reasons you might want to run Prefect using Docker Compose:
- You want to try Prefect without installing anything new on your workstation.
- You are comfortable with Docker and prefer it over virtual environments or Anaconda.
- You want to run Prefect on a system like CentOS 7 where installing Prefect dependencies is difficult.
- A Linux, MacOS, or Windows computer or VM with Docker installed. If you are running Windows, you must have Docker set up to use Linux containers, not Windows containers.
- If you run a Prefect agent in Docker, it will not be able to run
DockerContainer
deployments unless you share the host's Docker socket with the agent container because Docker-in-Docker is not supported.
Start by cloning this repository.
The docker-compose.yml
file contains five services:
database
- Postgres database for the Orion APIminio
- MinIO S3-compatible object store, useful for experimenting with remote file storage without needing a cloud storage account.orion
- Prefect Orion API and UIagent
- Prefect Orion Agentcli
- A container that mounts this repository'sflows
directory and offers an ideal environment for building and applying deployments and running flows.
To run the Prefect Orion API and UI, open a terminal, navigate to the directory where you cloned this repository, and run:
docker-compose --profile orion up
This will start PostgreSQL and Prefect Orion. When Orion is ready, you will see a line that looks like:
orion_1 | INFO: Uvicorn running on http://0.0.0.0:4200 (Press CTRL+C to quit)
The Orion API container shares port 4200 with the host machine, so if you open a web browser and navigate to http://localhost:4200
you will see the Prefect Orion UI.
Next, open another terminal in the same directory and run :
docker-compose run cli -rm
(with -rm
the created container is removed afterwards)
This runs an interactive Bash session in a container that shares a Docker network with the Orion server you just started. If you run ls
, you will see that the container shares the flows
subdirectory of the repository on the host machine:
flow.py
root@fb032110b1c1:~/flows#
To demonstrate the container is connected to the Orion API you launched earlier, run:
python flow.py
Then, in a web browser on your host machine, navigate to http://localhost:4200/runs
and you will see the flow you just ran in your CLI container.
If you'd like to use the CLI container to interact with Prefect Cloud instead of a local Orion instance, update docker-compose.yml
and change the agent service's PREFECT_API_URL
environment variable to match your Prefect Cloud API URL. Then, uncomment the PREFECT_API_KEY
environment variable and replace YOUR_API_KEY
with your own API key. If you'd prefer not to put your API key in a Docker Compose file, you can also store it in an environment variable on your host machine and pass it through to Docker Compose like so:
- PREFECT_API_KEY=${PREFECT_API_KEY}
You can run a Prefect Agent by updating docker-compose.yml
and changing YOUR_WORK_QUEUE_NAME
to match the name of the Prefect work queue you would like to connect to, and then running the following command:
docker-compose --profile agent up
This will run a Prefect agent and connect to the work queue you provided.
As with the CLI, you can also use Docker Compose to run an agent that connects to Prefect Cloud by updating the agent's PREFECT_API_URL
and PREFECT_API_KEY
settings in docker-compose.yml
.
MinIO is an S3-compatible object store that works perfectly as remote storage for Prefect deployments. You can run it inside your corporate network and use it as a private, secure object store, or just run it locally in Docker Compose and use it for testing and experimenting with Prefect deployments.
If you'd like to use MinIO with Prefect in Docker compose, start them both at once by running:
docker compose --profile orion --profile minio up
Although Orion won't need to talk to MinIO, Prefect agents and the Prefect CLI will need to talk to both MinIO and Orion to create and run depoyments, so it's best to start them simultaneously.
After the MinIO container starts, you can load the MinIO UI in your web browser by navigating to http://localhost:9000
. Sign in by entering minioadmin
as both the username and password.
Create a bucket named prefect-flows
to store your Prefect flows, and then click Identity->Service Accounts to create a service account. This will give you an access key and a secret you can enter in a Prefect block to let the Prefect CLI and agents write to and read from your MinIO storage bucket.
After you create a MinIO service account, open the Prefect Orion UI at http://localhost:4200
. Click Blocks, then add a Remote File System block. Give the block any name you'd like, but remember what name you choose because you will need it when creating a deployment.
In the Basepath field, enter s3://prefect-flows
.
Finally, the Settings JSON field should look like this:
{
"key": "YOUR_MINIO_KEY",
"secret": "YOUR_MINIO_SECRET",
"client_kwargs": {
"endpoint_url": "http://minio:9000"
}
}
Replace the placeholders with the key and secret MinIO generated when you created the service account. You are now ready to deploy a flow to a MinIO storage bucket! If you want to try it, open a new terminal and run:
docker compose run cli
Then, when the CLI container starts and gives you a Bash prompt, run:
prefect deployment build -sb "remote-file-system/your-storage-block-name" -n "Awesome MinIO deployment" -q "awesome" "flow.py:greetings"
Now, if you open http://localhost:9001/buckets/prefect-flows/browse
in a web browser, you will see that flow.py has been copied into your MinIO bucket.
You can run as many profiles as once as you'd like. For example, if you have created a deployment and want to start and agent for it, but don't want to open two separate terminals to run Orion and an agent and MinIO you can start them all at once by running:
docker compose --profile orion --profile minio --profile agent up
And if you want to start two separate agents that pull from different work queues? No problem! Just duplicate the agent service, give it a different name, and set its work queue name. For example:
agent_two:
image: prefecthq/prefect:2.3.0-python3.10
restart: always
entrypoint: ["prefect", "agent", "start", "-q", "YOUR_OTHER_WORK_QUEUE_NAME"]
environment:
- PREFECT_API_URL=http://orion:4200/api
profiles: ["agent"]
Now, when you run docker-compose --profile agent up
, both agents will start, connect to the Orion API, and begin polling their work queues.