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Version: 0.3.25

Alerting

Alerts​

Monitoring and alerting are used together to give a complete picture of the health of our data product.

An alert is triggered by a specific action:

  • what cases do you want to alert?
  • where should the alert be sent?
  • how can you create a useful message?

For example, an actionable alert contains info to help take a follow up action: what, when, and why the pipeline broke (with a link to the error log):

Airflow Slack notification

While we may create all kinds of tests and associated alerts, the first ones are usually alerts about the running status of your pipeline. Unfortunately, the outcome of a pipeline is not binary: it could succeed, it could fail, it could be late due to extra data, it could be stuck due to a bug, it could be not started due to a failed dependency, etc. Due to the complexity of the cases, usually you alert failures and monitor (lack of) success.

We could also use alerts as a way to deliver tests. For example, a customer support representative must associate each customer call with a customer. We could test that all tickets have a customer in our production database. If not, we could alert customer support to collect the necessary information.

Sentry​

Using dlt tracing, you can configure Sentry DSN to start receiving rich information on executed pipelines, including encountered errors and exceptions.

Slack​

Read here about how to send messages to Slack.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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