# SLOs in OpenObserve: Track Error Budgets and Burn Rate

> Learn how SLOs, error budgets, and burn rates in OpenObserve help teams measure reliability, reduce noisy alerts, and identify risks earlier.

Source: https://openobserve.ai/webinars-videos/service-level-objective-slo/
Published: 2026-08-19
Authors: Simran Kumari

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Learn how SLOs, error budgets, and burn rates in OpenObserve help teams measure reliability, reduce noisy alerts, and identify risks earlier.

## What you'll learn

- Why Service Level Objectives (SLOs) matter
- Error Budget and Burn Rates basics
- Defining Good vs Bad
- How to create an SLO

Service Level Objectives (SLOs) in OpenObserve turn reliability goals into measurable targets backed by error budgets. Set a target such as 99.9% availability, then track both how much error budget remains and how quickly it’s being consumed with burn rate.

SLOs can use rolling 7, 30, or 90-day windows and measure reliability based on success and failure rates, latency thresholds, or existing alerts.

OpenObserve also tracks measurement coverage. When there isn’t enough data to reliably evaluate an SLO, it reports No data and freezes alert state rather than treating missing telemetry as a healthy service.

At a glance, teams can see whether an SLO is meeting its target, at risk, over budget, or missing data. Automatic backfill provides historical results as soon as the SLO is created.

## Resources

- [Learn about SLOs and Burn-Rate Alerts](https://openobserve.ai/blog/slos-and-alerts-release/)
- [Get Started with SLOs](https://openobserve.ai/docs/user-guide/analytics/slos/)