pcp 6.2.0-1 source package in Ubuntu

No description available for libpcp-archive1 in ubuntu noble.

 The libpcp-archive-dev package contains the library and header files
 needed to build an application that creates a Performance Co-Pilot
 (PCP) archive suitable for use with the PCP tools.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

No description available for libpcp-gui2 in ubuntu noble.

 The libpcp-gui-dev package contains the Performance Co-Pilot (PCP)
 library and header files needed to incorporate graphical time control
 (pmtime) into a monitoring application.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

 The PCP::LogImport Perl module contains the language bindings for
 building Perl applications that import performance data from a file
 or real-time source and create a Performance Co-Pilot (PCP) archive
 suitable for use with the PCP tools.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

No description available for libpcp-import1 in ubuntu noble.

 The libpcp-import-dev package contains the library and header files
 needed to build an application that imports performance data from
 a file or real-time source and creates a Performance Co-Pilot (PCP)
 archive suitable for use with the PCP tools.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

 The PCP::LogSummary module provides a Perl module for using the
 statistical summary data produced by the Performance Co-Pilot
 pmlogsummary utility. This utility produces various averages,
 minima, maxima, and other calculations based on the performance
 data stored in a PCP archive. The Perl interface is ideal for
 exporting this data into third-party tools (e.g. spreadsheets).
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

 The PCP::MMV module contains the Perl language bindings for
 building scripts instrumented with the Performance Co-Pilot
 (PCP) Memory Mapped Value (MMV) mechanism.
 .
 This mechanism allows arbitrary values to be exported from an
 instrumented script into the PCP infrastructure for monitoring
 and analysis with pmchart, pmie, pmlogger and other PCP tools.

No description available for libpcp-mmv1 in ubuntu noble.

 The libpcp-mmv-dev package contains the Performance Co-Pilot (PCP)
 library and header files needed to utilise memory mapped value
 instrumentation into a monitored application.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

 The PCP::PMDA Perl module contains the language bindings for
 building Performance Metric Domain Agents (PMDAs) using Perl.
 Each PMDA exports performance data for one specific domain, for
 example the operating system kernel, Cisco routers, a database,
 an application, etc.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

No description available for libpcp-pmda3 in ubuntu noble.

 The libpcp-pmda-dev package contains the Performance Co-Pilot (PCP)
 library and header files needed to develop Performance Metric Domain
 Agents (PMDAs). Each PMDA exports performance data for one domain;
 for example the operating system kernel, Cisco routers, a database,
 an application, etc.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

No description available for libpcp-trace2 in ubuntu noble.

 The libpcp-trace-dev package contains the Performance Co-Pilot (PCP)
 library and header files needed to directly instrument an application
 for event and value tracking by the pmdatrace(1) PCP Trace Performance
 Metric Domain Agent.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

No description available for libpcp-web1 in ubuntu noble.

 The libpcp-web-dev package contains the library and header files
 needed to build a PMDA which parses and extracts metric data from
 a JSON file.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

No description available for libpcp3 in ubuntu noble.

 The libpcp-dev package contains the base Performance Co-Pilot (PCP)
 library and header files needed to develop collector and monitor
 programs which make use of PCP services.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

 Performance Co-Pilot (PCP) is a framework and services to
 support system-level performance monitoring and performance
 management.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

 The pcp-conf package contains important runtime configuration
 files required by all programs and libraries that make up the
 Performance Co-Pilot (PCP) toolkit.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.

 The pcp-doc package provides useful information on using and
 configuring the Performance Co-Pilot (PCP) toolkit for system
 level performance management. It includes tutorials, HOWTOs,
 and other detailed documentation about the internals of core
 PCP utilities and daemons, and the PCP graphical tools.

 Performance Co-Pilot (PCP) front-end tool for exporting data from PCP
 into designated Elasticsearch instances.

 Performance Co-Pilot (PCP) front-end tool for exporting data from PCP
 into designated Graphite (Carbon/Whisper) databases.

 Performance Co-Pilot (PCP) front-end tools for exporting metric values
 to InfluxDB (https://influxdata.com/time-series-platform/influxdb).

 Performance Co-Pilot (PCP) front-end tool for exporting data from PCP
 in JSON format.

 Performance Co-Pilot (PCP) front-end tools for exporting metric values
 to Apache Spark (https://spark.apache.org).

 Performance Co-Pilot (PCP) front-end tool for exporting data from PCP
 in Excel spreadsheet format.

 Performance Co-Pilot (PCP) front-end tool for exporting data from PCP
 in XML format.

 Performance Co-Pilot (PCP) front-end tool for exporting data from PCP
 into designated Zabbix monitoring servers.

 Performance Co-Pilot (PCP) module for exporting metrics from PCP to
 Zabbix via the Zabbix agent - see zbxpcp(3) for further details.

 The PCP GUI package primarily includes visualisation tools for
 monitoring systems using live and archived Performance Co-Pilot
 (PCP) sources.
 .
 These tools have dependencies on graphics libraries which may or
 may not be installed on server machines, so PCP GUI is delivered
 as a separate package to the core PCP infrastructure.

 Performance Co-Pilot (PCP) front-end tool for importing data from collectl
 into standard PCP archive logs for replay with any PCP monitoring tool.
 (such as pmie, pmlogsummary, pmchart or pmdumptext).

 Performance Co-Pilot (PCP) front-end tool for importing data from ganglia
 into standard PCP archive logs for replay with any PCP monitoring tool
 (such as pmie, pmlogsummary, pmchart or pmdumptext).

 Performance Co-Pilot (PCP) front-end tool for importing data from iostat
 into standard PCP archive logs for replay with any PCP monitoring tool.
 (such as pmie, pmlogsummary, pmchart or pmdumptext).

 Performance Co-Pilot (PCP) front-end tool for importing data from MRTG
 (the Multi Router Traffic Grapher tool) into standard PCP archive logs
 for replay with any PCP monitoring tool (such as pmie, pmlogsummary,
 pmchart or pmdumptext).

 Performance Co-Pilot (PCP) front-end tool for importing data from sar
 into standard PCP archive logs for replay with any PCP monitoring tool
 (such as pmie, pmlogsummary, pmchart or pmdumptext).

 Performance Co-Pilot (PCP) front-end tool for importing spreadheet data
 into standard PCP archive logs for replay with any PCP monitoring tool.
 (such as pmie, pmlogsummary, pmchart, or pmdumptext).

 Performance Metrics Domain Agent (PMDA) for collecting Infiniband
 statistics. By default, it monitors the local HCAs but can also
 be configured to monitor remote GUIDs such as IB switches.

 Quality assurance test suite for Performance Co-Pilot (PCP).
 .
 Provides a series of tests that exercise the many utilities and daemon
 processes that form the PCP toolkit. Regular users should never have
 any need to install this package, it is for developers and testers only.

 Contains configuration tweaks and files that increase metrics gathering
 frequency, several extended pmlogger configurations, and automated pmie
 diagnosis, alerting and self-healing for the localhost.

 The PCP Python3 module contains the language bindings for
 building Performance Metric API client tools using Python3.
 .
 The Performance Co-Pilot provides a unifying abstraction for
 all of the interesting performance data in a system, and allows
 client applications to easily retrieve and process any subset of
 that data.