PostgreSQL and Its Monitoring via Watchlog

PostgreSQL is a powerful, open-source, object-relational database management system (ORDBMS) known for its robustness, extensibility, and compliance with SQL standards. It is a preferred choice for modern applications due to its support for advanced features such as JSON handling, full-text search, ACID-compliant transactions, and a powerful role-based permission system. PostgreSQL is ideal for both analytical workloads and transactional systems at scale.

PostgreSQL and Its Monitoring via Watchlog

PostgreSQL Monitoring in Watchlog

Watchlog provides an intuitive and powerful dashboard for real-time monitoring of PostgreSQL databases. This interface offers deep visibility into query performance, resource usage, and the overall health of your database system.

1. Query Performance Insights

The Normalized Query section groups and simplifies queries to give you an aggregated view with key metrics like:

  • Count: How many times each query was executed
  • Total Duration: Cumulative execution time of the query
  • Avg Duration: Average time per execution
  • Avg Rows: Average number of rows returned

For example, the query select * from users was executed 40 times with negligible average duration and returned an average of 5 rows, suggesting it’s lightweight but frequently called.

2. Database Overview and Activity

The overview panel displays critical data points including:

  • Number of Tables and Indexes
  • Total Database Size
  • Uptime
  • Insert, Update, Delete Operations Over Time

These metrics are visualized in timeline charts, helping you understand load patterns and activity peaks across your PostgreSQL instance.

3. System Health and Resource Utilization

Several graphs provide real-time monitoring of PostgreSQL's internal health:

  • Cache Hit Rate: Ideally close to 100%, indicating most reads are served from memory rather than disk.
  • Disk vs Cache Blocks: Visual comparison of blocks read from disk vs cache hits.
  • Connection Load: Breakdown of active vs idle connections.
  • Transaction Outcomes: Successful vs failed transaction trends.
  • Blocked Queries & Deadlocks: Helps identify potential performance bottlenecks or contention issues.

Conclusion

Combining PostgreSQL with Watchlog delivers a smart and actionable monitoring solution. It offers deep insights into query behavior and system resource consumption, enabling developers and system administrators to make data-driven decisions. If you’re looking for a modern, reliable monitoring tool for PostgreSQL, Watchlog is a compelling choice.


Dive into the dedicated PostgreSQL feature page and see how Watchlog helps you track performance, queries, and system health—efficiently and in real time.

👉 View PostgreSQL Monitoring Details