OpsPilot is an autonomous AI agent that watches your cloud 24/7 — detects issues, traces root causes, and fixes them before anyone pages. No dashboards to stare at. No 3am wake-ups.
A continuous loop. No human in the loop until OpsPilot decides it's needed.
If you can afford Datadog, you don't need OpsPilot. If you can't, this is built for you.
Watches AWS, GCP, Azure, Kubernetes, and your databases. No agents to install, no configuration to maintain. Connects via API in minutes.
LLM-powered reasoning traces failures across logs, metrics, and config. Knows exactly which service caused the cascade — not just which alert fired.
Restarts crashed services. Scales under-provisioned resources. Rotates failed nodes. Patches security advisories. Only escalates what it can't handle.
Every incident becomes a living runbook. OpsPilot documents what it found, what it did, and why — so your team learns without the scars.
Detects over-provisioned instances, idle resources, and suboptimal storage classes. Automatically right-sizes and saves money while you sleep.
Smart escalation — OpsPilot pings your team only when human judgment is required. Everything else gets handled automatically and logged.
Link your AWS, GCP, or Azure account via read-only IAM role. No agent installation. No code changes. Takes about five minutes.
OpsPilot watches your traffic, normal traffic patterns, and dependency graph for 24 hours. Builds a model of "healthy."
OpsPilot monitors 24/7, handles incidents, optimizes costs, and drafts runbooks. You get a daily digest in Slack — not a flood of alerts.
Your DevOps engineer shouldn't be watching Grafana at 2am. Neither should you. OpsPilot is the always-on ops team that handles the toil — so your people work on things that actually matter.