Performance Co-Pilot alternatives and similar tools
Based on the "Monitoring" category.
Alternatively, view Performance Co-Pilot alternatives based on common mentions on social networks and blogs.
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Healthchecks
Open-source cron job and background task monitoring service, written in Python & Django -
Zabbix
Real-time monitoring of IT components and services, such as networks, servers, VMs, applications and the cloud. -
Vector
DISCONTINUED. Vector is an on-host performance monitoring framework which exposes hand picked high resolution metrics to every engineer’s browser. -
Statping-ng
An updated drop-in for statping. A Status Page for monitoring your websites and applications with beautiful graphs, analytics, and plugins. Run on any type of environment. -
Flapjack
DISCONTINUED. Monitoring notification routing + event processing system. For issues with the Flapjack packages, please see https://github.com/flapjack/omnibus-flapjack/ -
Thruk
Thruk is a multibackend monitoring webinterface for Naemon, Nagios, Icinga and Shinken using the Livestatus API. -
AS-Stats v1.6 (2014-09-12)
A simple tool to generate per-AS traffic graphs from NetFlow/sFlow records -
Centreon
Centreon is a network, system and application monitoring tool. Centreon is the only AIOps Platform Providing Holistic Visibility to Complex IT Workflows from Cloud to Edge. -
SWMP - Server Web Monitor Page
DISCONTINUED. A responsive, eye-pleasing Linux server statistics dashboard.
InfluxDB - Purpose built for real-time analytics at any scale.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of Performance Co-Pilot or a related project?
README
[PCP](images/pcpicon.png)
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.
See the [INSTALL](INSTALL.md) file for build, installation and configuration steps. For more information and details on how to contribute to the PCP project visit pcp.io