A PostgreSQL metrics dashboard for monitoring database health, focusing on simplicity and opinionated defaults.
Pome is a PostgreSQL metrics dashboard designed to provide insights into database health through a simple, self-contained interface. It monitors key metrics like database size, connections, and bloat analysis to help users track database performance without complex setup. The tool follows principles of simplicity and opinionated defaults, offering pre-configured metrics for common use cases.
Developers or teams running PostgreSQL databases without dedicated DBA support, who need a straightforward way to monitor database health and performance. It's ideal for those managing small to medium-sized databases and seeking an easy-to-deploy solution without external dependencies.
Developers choose Pome for its simplicity and self-contained deployment as a single binary with embedded web assets, requiring no external dependencies. It provides essential, pre-configured metrics out-of-the-box, making it quick to set up and use compared to more complex monitoring tools.
A Postgres Metrics Dashboard
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Pome ships as a single executable with embedded web assets, eliminating the need for external web servers or dependencies, as highlighted in the 'Self-Contained Deployment' feature.
It uses a simple command-line interface similar to psql with common arguments like host and port, making it quick to start, as shown in the 'How to run Pome' section.
Out-of-the-box, Pome provides key metrics such as database size, connection counts, and bloat analysis without configuration, targeting common monitoring needs for PostgreSQL health.
By storing only the last 120 metrics in-memory, Pome avoids the complexity of external databases or time-series storage, keeping deployment straightforward, as noted in the 'Stateless' section.
The README admits that many metrics like unused indexes and cache hit ratio are 'missing features' and 'will be added soon,' indicating it's not yet comprehensive for advanced monitoring.
Pome is stateless and only retains recent metrics in memory, which means no historical analysis beyond the last 120 data points, limiting long-term insights, a trade-off acknowledged in the documentation.
The creator explicitly warns against using Pome in heavily used production databases until more load testing is done, as stated in the 'Can I use Pome in Production?' section, making it risky for critical systems.
Developed and tested only on PostgreSQL 9.4 and newer, with no intent to support older versions initially, which could exclude legacy database environments, as mentioned in the 'Supported PostgreSQL Versions' part.