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Repository Overview (README excerpt)
Crawler viewpgwatch: PostgreSQL monitoring solution Overview pgwatch is a scalable and flexible PostgreSQL-specific monitoring solution that offers a comprehensive view of database performance and health. It provides a user-friendly interface through Grafana dashboards, allowing users to easily inspect various metrics and trends. Visit demo.pgwatch.com for a Grafana demo, and pgwat.ch for full documentation. Quick Start To fetch and run the latest **demo** Docker image, exposing • Grafana on port 3000, • the administrative web UI on port 8080, • the internal configuration and metrics database on port 5432: After a few minutes, you can open the "Database Overview" dashboard and start looking at the metrics. To define your own dashboards, you need to log in to Grafana as admin ( / ). If you don't want to add the test database for monitoring, remove the parameter when launching the container. Development and production use For production and long-term installation Docker image should be used. For the fastest development and deployment experience, the Docker compose files are provided. • The usual production setup should involve: • For development purposes, you want to build the image from source: These commands will build and start services listed in the compose file: • configuration and metric database; • pgwatch monitoring agent with WebUI; • Grafana with dashboards. Monitor Database After starting, you could open the monitoring dashboard and start looking at metrics. To add a test database to monitoring, you can use the built-in WebUI. Produce Workload To emulate workload for the added test database, execute: Inspect database > [!IMPORTANT] pgAdmin uses port 80. If you want it to use another port, change it in file. To look at what is inside the database, you can spin up pgAdmin4: Go to in your favorite browser and log in as , password . Server should already be added to the group. Development If you apply any changes to the source code and want to restart the agent, it's usually enough to run: The command above will rebuild the agent from source and relaunch the container. Logs If you are running containers in detached mode, you can still follow the logs: Or you may check the log of a particular service: Contributing Feedback, suggestions, problem reports, and pull requests are very much appreciated.