performancecopilot/pcp

Cpcp.io
macOS

Alternative zu Datadog

Performance Co-Pilot

performancemonitoringmetricsanalysisgraphdistributedtimeserieslightweight
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README
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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.

Installation

For common Linux distributions with prebuilt Performance Co-Pilot packages you can follow the [Quick install instructions] [https://pcp.readthedocs.io/en/latest/HowTos/installation/index.html]. See the INSTALL file for build, installation and configuration steps.

Usage

The [Performance Co-Pilot Quick Guides] [https://pcp.readthedocs.io/en/latest/QG/QuickGuides.html] provide information on how to perform basic tasks with Performance Co-Pilot. Check the [Performance Co-Pilot documentation][https://pcp.io/documentation.html] for addition information about [man pages][https://man7.org/linux/man-pages/dir_by_project.html#PCP] and [guides][https://pcp.readthedocs.io/en/latest/].

Development

For more information and details on how to contribute to the PCP project visit pcp.io.