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.
August 19, 2026
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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.
About the Speaker
Simran Kumari
Simran specializes in DevOps, cloud-native technologies, and observability, with hands-on experience in Kubernetes, Docker, and AWS. Creates practical, accessible technical content and solutions that help teams simplify complex workflows and improve system reliability.