# From Alert Noise to Actionable Signals: Lessons from Production

> Hear reliability experts share production war stories, mistakes, and lessons on reducing alert fatigue, improving incident detection, and catching reliability risks earlier.

Source: https://openobserve.ai/webinars-videos/alert-fatigue-noise-slos-incidents-production/
Published: 2026-09-30

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Hear reliability experts share production war stories, mistakes, and lessons learned on reducing alert fatigue, spotting real risks earlier, and improving reliability.

## What you'll learn

- What should actually trigger an alert, and what should be a dashboard, ticket, or automated response instead
- The alerting mistakes to avoid, plus best practices for reducing false positives and on-call fatigue
- How teams use SLOs, burn rates, synthetic monitoring, user impact, and multiple signals to identify incidents earlier

Teams shouldn’t have to choose between drowning in false positives and finding out about real problems too late. But tuning alerts often feels like exactly that: lower the threshold and create more noise, raise it and risk missing something that matters.

Hear reliability experts share real-world war stories about what worked, what failed, and what they missed. We’ll unpack the mistakes and lessons behind those incidents, what should actually deserve attention, and how teams use user impact, SLOs, burn rates, synthetic monitoring, and multiple signals to catch problems earlier.

## Resources

- [Try OpenObserve](https://cloud.openobserve.ai/)
- [SLOs and Burn-Rate Alerts](https://openobserve.ai/blog/slos-and-alerts-release/)