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Get Started

This project discusses how we can manipulate, visualize, and learn from the time series metrics data. Check out the project blog for a detailed overview of this project.

Try it out yourself

There are interactive and reproducible notebooks for this entire project available for anyone to start using on the public JupyterHub instance on the Massachusetts Open Cloud (MOC) right now!

  1. To get started, access JupyterHub, select log in with operate-first and sign in using your Google Account.
  2. After signing in, on the spawner page, please select the Time Series Notebook Image in the JupyterHub Notebook Image section from the dropdown and select a Medium container size and hit Start to start your server.
  3. Once your server has spawned, you should see a directory titled s2i-time-series-<current-timestamp>.
  4. Go to notebooks and run the notebook you want to experiment with.
  5. Check out the detailed content page which has notebook blogs with time series for monitoring concepts.

If you need more help navigating the Operate First environment, we have a few short videos to help you get started.