Automated Error Budget Tracker and SLO Dashboard for Platform Engineering Teams
Platform engineering teams define SLOs (Service Level Objectives) but track them manually in spreadsheets or custom dashboards. When the error budget is consumed, nobody notices until a customer-facing outage occurs. An automated SLO tracker that ingests metrics from monitoring tools, calculates remaining error budget in real-time, and alerts when budgets are at risk would enable data-driven reliability decisions.
Problem Statement
A platform team defines SLOs: API availability 99.9% (monthly), p99 latency under 500ms. They track this in a Grafana dashboard that an SRE built 8 months ago. The dashboard breaks whenever Prometheus metrics change. Nobody checks it proactively. Last month, the team burned 80% of their error budget in 3 days due to a slow database migration — nobody noticed because the dashboard was not alerting. They only discovered the issue when customer complaints spiked. If they had real-time error budget tracking with alerts, they would have paused the migration after burning 30% of the budget.
The Idea
An SLO dashboard that connects to existing monitoring tools (Datadog, Prometheus, CloudWatch), automatically calculates error budget consumption in real-time, alerts when budgets approach exhaustion, and provides burn-rate projections, reliability management without custom dashboard engineering.
Why Now
Google's SRE book popularized SLOs and error budgets, but adoption outside top tech companies is slow because implementation requires custom engineering. Platform teams spend 2-4 weeks building custom SLO dashboards that break when metrics schemas change. Datadog and Grafana offer SLO features but require complex configuration.
Target User
Platform engineers and SREs at companies with 10-50 engineers who need SLO tracking without building and maintaining custom dashboards
Target Market
SLO management and reliability engineering tools for platform teams
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