Autonomous incident response in 35 seconds
The TigerOps AI SRE agent detects incidents, correlates signals across your entire stack, identifies the root cause, executes remediation, and communicates to stakeholders — all without waking a single engineer.
Incident response is still mostly manual
Most teams still rely on paging an engineer, who then manually pieces together context from multiple tools before even starting to diagnose the problem. The first 30 minutes of every incident is pure toil.
End-to-end autonomous incident handling
Every step from detection to post-mortem, handled by AI.
Detection
Multi-signal anomaly detection identifies the issue before users are impacted. AI correlates metrics, traces, and logs to confirm a real incident — not a false positive.
Correlation
The AI SRE agent correlates the anomaly across every upstream and downstream dependency — traces, infrastructure metrics, deployment events, and recent changes.
Root Cause
AI pinpoints the exact root cause with a confidence score, matching the pattern against historical incidents and known failure signatures.
Remediation
The AI agent executes the matching runbook: scaling the connection pool, redistributing read traffic, and applying any necessary config changes — all without human intervention.
Communication
A full incident summary is automatically posted to Slack and PagerDuty. On-call engineers get context-rich notifications — or none at all if the incident is fully resolved.
Post-Mortem
TigerOps auto-generates a post-mortem with timeline, contributing factors, remediation steps, and action items. Runbook is updated with the new pattern for future prevention.
Before vs. after TigerOps
The same incident. A completely different experience.
Stop fighting fires. Start preventing them.
Let the AI SRE agent handle routine incidents while your team focuses on reliability engineering that matters.