Software
We've compiled a list of 51 free and paid alternatives to Prometheus. The primary competitors include Datadog, Open Web Analytics. In addition to these, users also draw comparisons between Prometheus and logstash, Rollbar, Graylog. Also you can look at other similar options here: System and Hardware Tools.
We've compiled a list of 51 free and paid alternatives to Prometheus. The primary competitors include Datadog, Open Web Analytics. In addition to these, users also draw comparisons between Prometheus and logstash, Rollbar, Graylog. Also you can look at other similar options here: System and Hardware Tools.
82
Datadog is a monitoring service for IT, Dev & Ops teams who write and run applications at...
52
Open Web Analytics - Web Analytics – Open Source Web Analytics Framework
51
48
Collect and analyze errors in JavaScript, Node.js, Python, Ruby, Java, PHP and other aplications.
48
Graylog is an open source syslog implementation that stores your logs in Elasticsearch.
46
Open-source metrics dashboard and graph editor for Graphite, Elasticsearch, OpenTSDB, Prometheus...
38
Nagios Log Server is a powerful enterprise-class log monitoring and management application that...
29
Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...
29
29
32
An open-source systems monitoring and alerting toolkit.
An open-source systems monitoring and alerting toolkit.
Windows
Linux
Mac
Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud. Since its inception in 2012, many companies and organizations have adopted Prometheus, and the project has a very active developer and user community. It is now a standalone open source project and maintained independently of any company.
Prometheus's main features are:
- A multi-dimensional data model (time series identified by metric name and key/value pairs).
- A flexible query language to leverage this dimensionality.
- No reliance on distributed storage; single server nodes are autonomous.
- Time series collection happens via a pull model over HTTP.
- Pushing time series is supported via an intermediary gateway.
- Targets are discovered via service discovery or static configuration.
- Multiple modes of graphing and dashboarding support.
Data monitoring
Hardware Monitoring
Performance Monitoring
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