How to mitigate risk with progressive feature rollouts in Python using LaunchDarkly.

This tutorial demonstrates how to implement progressive rollouts in a Python application using LaunchDarkly. It guides users through setting up an account with LaunchDarkly, creating a feature flag for a progressive rollout, and building an application that uses this feature flag to switch between different data sources based on the value of the flag. The tutorial also explains how to monitor and adjust the rollout as it progresses using LaunchDarkly's dashboard. By implementing progressive rollouts, developers can mitigate risks associated with rolling out new features by gradually introducing them to a percentage of users at a time.

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