Skip to main content

Performance metrics for Pyramid using StatsD

Project description

Performance metrics for Pyramid using StatsD. The project aims at providing ways to instrument a Pyramid application in the least intrusive way.

Installation

Install using setuptools, e.g. (within a virtualenv):

$ pip install pyramid_metrics

Setup

Once pyramid_metrics is installed, you must use the config.include mechanism to include it into your Pyramid project’s configuration. In your Pyramid project’s __init__.py:

config = Configurator(.....)
config.include('pyramid_metrics')

Alternately you can use the pyramid.includes configuration value in your .ini file:

[app:myapp]
pyramid.includes = pyramid_metrics

Usage

Pyramid_metrics configuration (values are defaults):

[app:myapp]
metrics.host = localhost
metrics.port = 8125

metrics.prefix = application.stage

metrics.route_performance = true

Currently implemented

  • Collection utility as a request method

  • Ability to send metrics per Pyramid route

  • Simple time marker mechanism

  • Simple counter

TODO

  • Full StatsD metric types

  • Extensions for automatic metrology (SQLAlchemy, MongoDB, Requests…)

  • Whitelist/blacklist of metrics

  • Time allocation per subsystem (using the time marker mechanism)

Considerations

  • The general error policy is: always failsafe. Pyramid_metrics should NEVER break your application.

  • The DNS resolution is done during configuration to avoid recurring latencies.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyramid_metrics-0.1.2.tar.gz (6.3 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page