Aiviro can be run locally at your computer or it can be deployed to a server with its orchestration system.
For running it locally, just run your main python script of the scenario you want to start.
Connect to your server via ssh.
Go to the directory where you want to deploy Aiviro. We recommend creating a new directory for it.
mkdir -p projects/aiviro # create a new directory
cd projects/aiviro # go to the directory
Create and activate a python virtual environment.
python3 -m venv venv # create a virtual environment
source venv/bin/activate # activate the virtual environment
Install Aiviro with Prefect extra dependencies.
pip install -i https://pypi.aiviro.com aiviro[prefect]
Deploy Aiviro orchestration server. It contains server, database and web interface.
# deploying server with the default settings
aiviro-cli deploy server start --detach
# for information about custom deployment of the server, use --help option
aiviro-cli deploy server start --help
Deploy Aiviro agent.
# deploying agent with the default settings
aiviro-cli deploy agent start --agent-name <your-agent-name> --git-url <repo-url-with-access-token> --label rdp --max-flows 1 --detach
# for information about custom deployment of the agent, use --help option
aiviro-cli deploy agent start --help
Add aiviro configuration file and set API credentials.
aiviro-cli config login --client-id <your-client-id> --api-key <your-api-key> --output prefect-data/<agent-name>/volume/
Open the web interface in your browser, default url is http://localhost:8080. Select the
Hello Worldflow and run it, in order to validate your installation.
To stop agent and server, use the following commands. You must be in the same directory where you deployed them.
# stop agent
aiviro-cli deploy agent stop --agent-name <your-agent-name>
# stop server
aiviro-cli deploy server stop
Successful deployment will look like this, you can check all running docker containers by running
docker ps command.
The deployed agent contains your git repository and therefore also your flows. However, you need to register them in the deployed environment, so that you can run them from the web interface. Follow these steps to register your flow:
# connect to the linux server
# enter the agent container
docker exec -it <agent-container-name> /bin/bash
# navigate to git repository directory
# register your flow
Successful registration of the flow will look similar to this: