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Rothko

Rothko stores and allows interaction with distributions of a metric that vary through time. This allows you to collect insight about the overall values of metrics when there are many values from multiple hosts.

Learn more about Rothko in our introductory blog post.

Contributing

Set up

Source the .setup script to add the bin folder to your $PATH (run . .setup) which adds the roth command. Running roth has output like

Usage: roth <subcommand> [subcommand args...]

	build     builds a development rothko binary
	clean     cleans development rothko data
	generate  generates all the code/documentation
	live      runs a live server that rebuilds on code changes
	onboard   sets up the developer environment to build and run the ui
	run       runs a development rothko server

If you are working on the ui, you can run roth onboard to have it install the required set of npm and Elm dependencies, and roth live to have it spin up a live server (fswatch is required). Any changes to the Go or Elm code will cause the code to be rebuilt and any open web pages to reload. You can then visit a demo site with some demo data at http://localhost:8080.

In general

  • Pull requests are fine and dandy.
  • Try to make the code you add "look like" the code around it. Style and consistency matter.
  • Open an issue to talk about any major changes you'd like to see. Maybe it's already being worked on.

In Go

  • Try to add unit tests for any new functionality you add or any bugs you fix. There are some internal packages for doing assertions, etc. Check out other tests for guidance.
  • Be sure to document any exported public interfaces. Documentation matters.
  • Run roth generate as it commits documentation to the README's at the package directories.
  • Breaking changes are still acceptible for now.

In Elm

  • Make sure to run elm-format on everything. I use elm-format-0.18 0.7.0-exp.

Misc

  • If you write bash scripts, make sure they pass shellcheck.

Finally

Be sure to add yourself to AUTHORS so that you can get credit for your hard work!

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Stores time-series distribution information

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