Markus v2.0.0 released! Better metrics API for Python projects.

What is it?

Markus is a Python library for generating metrics.

Markus makes it easier to generate metrics in your program by:

  • providing multiple backends (Datadog statsd, statsd, logging, logging roll-up, and so on) for sending metrics data to different places
  • sending metrics to multiple backends at the same time
  • providing a testing framework for easy metrics generation testing
  • providing a decoupled architecture making it easier to write code to generate metrics without having to worry about making sure creating and configuring a metrics client has been done--similar to the Python logging module in this way

We use it at Mozilla on many projects.

v2.0.0 released!

I released v2.0.0 just now. Changes:

Features

  • Use time.perf_counter() if available. Thank you, Mike! (#34)
  • Support Python 3.7 officially.
  • Add filters for adjusting and dropping metrics getting emitted. See documentation for more details. (#40)

Backwards incompatible changes

  • tags now defaults to [] instead of None which may affect some expected test output.

  • Adjust internals to run .emit() on backends. If you wrote your own backend, you may need to adjust it.

  • Drop support for Python 3.4. (#39)

  • Drop support for Python 2.7.

    If you're still using Python 2.7, you'll need to pin to <2.0.0. (#42)

Bug fixes

  • Document feature support in backends. (#47)
  • Fix MetricsMock.has_record() example. Thank you, John!

Where to go for more

Changes for this release: https://markus.readthedocs.io/en/latest/history.html#september-19th-2019

Documentation and quickstart here: https://markus.readthedocs.io/en/latest/index.html

Source code and issue tracker here: https://github.com/willkg/markus

Let me know whether this helps you!

Want to comment? Send an email to willkg at bluesock dot org. Include the url for the blog entry in your comment so I have some context as to what you're talking about.