How do I set up continuous monitoring for a Python app deployed in a Docker container?

Setting up continuous monitoring for a Dockerized Python app consists of several steps:

1. First, use tools like Prometheus and Grafana to collect and visualize metrics from your containers and the host system.
2. Then, deploy monitoring agents within your containers to gather application-specific metrics.
3. Third, make sure to also implement health checks to get insights into your app's status.
4. Last but not least, remember to regularly review monitoring dashboards and alerts to maintain the health and performance of your Dockerized Python app.