Alexis Roberson

In modern application development, feature flags are the guardrails that keep experiments controlled and rollbacks safe when conditions shift. If feature flags act as the guardrails, observability provides the visibility: the headlights (traces), mirrors (logs), and dashboard instruments (metrics) that reveal what’s happening in the environment and how well a feature is performing.

Originally published in the LaunchDarkly Docs LLM applications have a telemetry problem. Unlike traditional software where you can trace a bug to a specific line of code or a failed API call, LLM failures are a bit more nuanced. A response that's slightly off, a prompt that worked yesterday but not today, or a model swap can quietly degrade your user experience.

Originally published in the LaunchDarkly Docs Part 3 of 3: Rage Click Detection with LaunchDarkly Overview In Part 1, we set up rage click detection using LaunchDarkly's Session Replay. In Part 2, we connected those frustration signals to guarded releases for automated rollback protection. Now it's time to put it all together.