Real-time telemetry, AI-driven anomaly detection, and a query language your team will actually use. Built for engineering teams that ship fast — without firefighting.
Trusted by engineering teams at
Most observability tools drown you in metrics. Orbital surfaces what matters — automatically — so your team focuses on shipping, not on chasing dashboards.
Stream millions of events per second. Query the last 60 seconds of your entire fleet — without sampling, without lag.
Our model learns your fleet’s baseline in 48 hours. It surfaces deviations in plain English — “API latency p99 grew 4× on eu-west since deploy.”
OQL feels like SQL but reads like English. Auto-complete, time-travel diff, shareable URLs — incident response without the cognitive tax.
Below is a real Orbital dashboard pulling synthetic telemetry from a 200-node fleet. Watch the numbers move.
Every metric, log line, and trace is queryable in OQL — Orbital Query Language. Familiar SQL syntax, async-by-default, time-aware. Diff two windows in one keystroke.
Read the docs →# Find slow queries since the deploy FROM postgres.queries WHERE duration_ms > 500 AND started_at > deploy('web-api') SELECT p99(duration_ms) AS p99, count(*) AS n, query_normalized GROUP BY query_normalized ORDER BY p99 DESC LIMIT 10;
Start free. Scale linearly. No seat-tax, no surprise bills.
For solo engineers and small teams just getting started with observability.
For engineering teams shipping daily. AI anomalies, full retention, integrations.
For platforms with strict SLA, compliance, or custom-cloud needs.
Orbital cut our MTTR by 73 % in the first month. The AI anomaly summaries read like a senior engineer wrote them.
Switched from a 6-figure observability stack to Orbital. Same coverage, 12 % of the cost, and our on-call rotation finally sleeps.
OQL is the first query language I’ve ever liked. Our PMs write their own dashboards now. That alone is worth the migration.
Free for 30 days, then $19/month. Set up in under 4 minutes.