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Workflow Calendar 馃搯

Databricks Plotly

Introduction

This notebook is designed to visualize workflow schedules and their respective runs. It showcases aspects of scheduling, execution, and duration of your tasks.

Use Cases

This notebook is useful for the below cases:

  1. Performance Monitoring: Keep an eye on how long your runs are taking and identify potential bottlenecks.
  2. Scheduling Insights: Understand when your workflows are scheduled and when the first run occurred. Resolve timing conflicts and ensure that your workflows are running as expected.
  3. Historical Analysis: Analyze the historical data of your runs, making it easier to identify trends and patterns.
  4. Resource Allocation: Optimize your resource allocation based on past performance.
  5. Troubleshooting: Quickly identify runs that failed or took longer than expected.


See more details in the notebook (ipynb)