Chapter 10. Performance and Scalability

Performance Co-Pilot (PCP) provides a framework and services to support system-level performance monitoring and management. Its light-weight, distributed architecture makes it particularly well-suited to centralized analysis of complex systems.

Performance metrics can be added using the Python, Perl, C++ and C interfaces. Analysis tools can use the client APIs (Python, C++, C) directly, and rich web applications can explore all available performance data using a JSON interface.

For further information, consult the extensive man pages in the pcp and pcp-libs-devel packages. The pcp-doc package installs documentation in the /usr/share/doc/pcp-doc/* directory, which also includes these two free and open books from the upstream project:

http://www.performancecopilot.org/doc/pcp-users-and-administrators-guide.pdf

http://www.performancecopilot.org/doc//pcp-programmers-guide.pdf