Quickstart
This introduction assumes you are already using dbt in your company and tables you would like to monitor are managed by dbt. To fully use stealthward you need to install both:
We'll go over the steps required to do that & explain what possibilities those packages create for you.
Stealthward DBT Package
Add the stealthward dbt pakcage to your main dbt repo project. You need to update your packages.yml file with stealthward package like that:
and then install dbt packages dependencies by running:
You can do it locally, in your dbt cloud environment, or Airflow etc. scheduler environment.
INFO
On production, you most likely are already running dbt deps as part of dbt models computation. So this step maybe only necessary for your local environment.
Configuration Tables
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DBT Package Functions
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Computing First Metrics
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Storing Test History
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Stealthward Python Package
To generate stealthward reliability UI, send stealthward alerts to Slack and easily backfill stealthward models you will need to install the strealthward python library. Install it executing:
Python Package Functionality
Stealthward overview UI - For generating & display stealthward UI
Stealthward notify - For notifying external services about alerts (Currently Slack)
Stealthward run - For easily backfilling dbt data
Generate & Server UI
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