Metadata-Version: 2.1
Name: pcp
Version: 5.0
Summary: Performance Co-Pilot collector, monitor and instrumentation APIs
Home-page: https://pcp.io
Author: Performance Co-Pilot Development Team
Author-email: pcp@groups.io
License: GPLv2+
Keywords: performance,analysis,monitoring
Platform: Windows
Platform: Linux
Platform: FreeBSD
Platform: NetBSD
Platform: OpenBSD
Platform: Solaris
Platform: Mac OS X
Platform: AIX
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: AIX
Classifier: Operating System :: POSIX :: BSD :: NetBSD
Classifier: Operating System :: POSIX :: BSD :: OpenBSD
Classifier: Operating System :: POSIX :: BSD :: FreeBSD
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: POSIX :: SunOS/Solaris
Classifier: Operating System :: Unix
Classifier: Topic :: System :: Logging
Classifier: Topic :: System :: Monitoring
Classifier: Topic :: System :: Networking :: Monitoring
Classifier: Topic :: Software Development :: Libraries
Description-Content-Type: text/x-rst


Performance Co-Pilot
====================

Performance Co-Pilot (PCP) provides a framework and services to support
system-level performance monitoring and management. It presents a unifying
abstraction for all of the performance data in a system, and many tools
for interrogating, retrieving and processing that data.

PCP is a feature-rich, mature, extensible, cross-platform toolkit
supporting both live and retrospective analysis. The distributed PCP
architecture makes it especially useful for those seeking centralized
monitoring of distributed processing.

For more information and details on how to contribute to the PCP project
visit `pcp.io
<https://pcp.io/community.html>`_.
