Abstract:
Performance Co-Pilot (PCP) is the de facto standard for system-level performance monitoring in Fedora, RHEL, and their derivatives. While the default configuration provides a solid baseline, production systems often require tailored settings for efficient and effective data collection. A high-performance database may need high-resolution metrics for fine-grained analysis, whereas a constrained VM or IoT node needs minimal overhead.
This article is a practical, hands-on guide for system administrators and performance engineers to tune the pmlogger service—the component responsible for data logging in PCP. It will cover how to adjust sampling intervals, manage data retention, and customize configurations for various use cases, allowing users to unlock the full power of PCP for their environments.
Patience Suraj. The Magazine is run as a volunteer effort so things do not run in hypervelocity