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In the foregoing tasks, we set alerting thresholds based on a basic understanding of what the underlying code is doing and how we expect the datasets in our build schedule to be used in the organization. At each build execution, Foundry updates a set of pipeline metrics that we can reference to help us update thresholds. We previously set our TSLU check to a floating value of 1 deviation above the median (of the most recent 10 executions), but this invites a gradual increase over time. Suppose we had a reliable statistical basis for setting the update value to a specific time.
In this task, you’ll practice looking at pipeline metrics to update alerting thresholds.