SLO tracking, error budget management, and burn-rate alerts — all from the same platform you already use for observability.
And how aiAxonIQ solves them.
You defined SLOs in a spreadsheet. No real-time tracking, no error budget visibility, no early warning before burn-down.
Live SLO tracking with multi-window burn-rate alerts. Know exactly where your error budget stands at any moment.
Learn about SLOs & Error BudgetsReconstructing what happened takes longer than the incident itself. Slack messages, Grafana screenshots, manual timelines.
AI incident summaries assemble the likely root cause from correlated logs, traces, and metric anomalies.
Learn about AI InsightsToo many alerts, too many false positives. On-call is unsustainable and engineers are leaving.
Anomaly rules, cooldown windows, and label-based silences cut false positives — so a page means something.
Learn about AlertingYour improved workflow, step by step.
Everything site reliability engineers teams need, in one place.
Availability, latency, error-rate, and custom-query SLOs are computed straight from your traces and metrics. Multi-window burn-rate alerts catch fast and slow burns before the budget is gone, and AI can author SLOs from plain English or propose them from seven days of measured evidence.
Logs, metrics, traces, and LLM observability in one platform. Free tier, no credit card.
Free tier · No credit card · Deploy in 5 min · Self-host or cloud