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Supported Outputs

Logster supports output classes that can send metrics to a backend service or data store. Backend services, for instance, can retain metrics in a time series data store, visualize metrics in graphs or tables, or generate alerts based on defined thresholds.

Logster includes the following built-in outputs:

  • Graphite (graphite): An open-source time-series data store that provides visualization through a web-browser.
  • Ganglia (ganglia): A scalable distributed monitoring system for high-performance computing systems.
  • Amazon CloudWatch (cloudwatch): A monitoring service for AWS cloud resources and the applications you run on AWS.
  • Nagios (nsca): An open-source monitoring system for systems, networks and infrastructure
  • StatsD (statsd): A simple daemon for easy stats aggregation
  • Standard Output (stdout): Outputs the metrics to stdout.

Outputs are just Python classes that implement the interface defined in Output Interface. Multiple outputs can be used at once: use the --output (-o) commandline option repeatedly to specify the output classes you'd like to use.

Available Third-party outputs

    • [New Relic Insights][insights] (insights): An Analytics platform that allows for querying, dashboard and alerting on the data collected byt logster. Setup details can be found here: New Relic Insights Output

If you have an output you'd like to be included here, please open a pull request with a link to its source/GitHub repo and a brief description of its use.

Built-in outputs can be referenced using their short name (graphite, ganglia etc). To use third-party outputs you must specify a fully-qualified module and class name that's available on the search path.