Monitors your cloud 24/7. Detects anomalies. Auto-remediates before you're paged. Only wakes you when judgment is required.
Connects to your cloud provider, cluster metrics, and log streams. Watches for failure patterns that humans have seen 10,000 times before.
Runs each incident through a decision tree trained on your runbooks. Knows when to act, when to wait, and when to escalate. Never guesses.
Executes remediation autonomously. Clears disks, restarts pods, rolls back bad deploys. Logs every action so you never lose audit trail.
"We didn't build better dashboards. We replaced the engineer who had to stare at them."
The monitoring space is crowded with tools that surface problems for humans to solve. That's the wrong model. The right model is an AI employee who actually fixes things — autonomously, while you sleep, and only calls you when it genuinely doesn't know what to do.
ShiftStack is built on a single principle: if a runbook exists, the agent should execute it. If no runbook exists, the agent should learn one. Your infrastructure shouldn't wait for a human to be awake and caffeinated before it gets fixed.
Neither does ShiftStack. It's always watching, always learning, always fixing.