Unconference - Stream 1 - 14:30-15:30 - PGCon 2022

Explore standardized PostgreSQL metrics for performance tracking and discover the need for a flexible and scalable solution.

Key takeaways

The importance of having a standard set of metrics for monitoring a PostgreSQL database, allowing for easy tracking and visualization of performance.
The challenge of integrating PostgreSQL metrics with existing monitoring systems, requiring custom queries and configuration.
The potential for PostgreSQL to natively support Prometheus or OpenMetrics, making it easier to integrate with monitoring systems.
The need for a flexible and extensible solution for collecting and presenting PostgreSQL metrics.
The value of having a standardized set of metrics for PostgreSQL, allowing for easy comparison and analysis across different systems and environments.
The potential for PostgreSQL to integrate with service discovery layers, such as Prometheus, to provide automated monitoring and alerting.
The importance of considering the complexity and scalability of the solution, particularly for large-scale PostgreSQL deployments.
The potential for PostgreSQL to support eBPF (extended Berkeley Packet Filter) for kernel-level monitoring and data collection.
The need for a clear and consistent API for collecting and presenting PostgreSQL metrics, to make it easier for developers to integrate with monitoring systems.
The potential for PostgreSQL to support native metric collection and publication, allowing for more efficient and scalable monitoring.
The importance of considering the trade-offs between custom queries and built-in support for metrics, particularly in terms of performance and scalability.

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