An always-on responder that correlates alerts, runs safe mitigations, and escalates with full context — so when your team does get paged, they already know what to do.
A policy-driven incident response engine for databases. It ingests alerts, correlates them with recent deploys and telemetry, runs pre-approved mitigations (connection-pool resizing, query killing, read-replica failover), and captures a structured postmortem when the dust settles.
In most incidents, the first 20 minutes are wasted re-establishing context. Who paged? What changed? Is this the same regression as last month? Automated Incident Response collapses that context-gathering to seconds and runs the obvious mitigations while humans are still looking for their laptops.
How enterprises deploy this service to solve specific, high-stakes problems.
Automated responders now handle the first-line mitigations for 3 of the top 5 incident classes. Average incident duration dropped from 42 minutes to 13, and the on-call DBA gets a pre-built timeline when they do escalate.
A bad deploy pushed a query regression. The responder detected the plan flip, killed the offending sessions, and paged the on-call engineer with a proposed rollback — all before the CPU alert had fired.
Recurring Sunday-morning replication-lag pages are now autonomously handled by resizing the replica and suppressing downstream alerts, with a weekly summary report to the DBA team.
Document alert classes, policies, and safe mitigations with your team.
Run in advisory mode — agent proposes, humans approve, everything logged.
Move high-confidence flows to autonomous with full audit trail.
Every postmortem feeds improvements back to policies and runbooks.
You decide what can be automated. We execute it with full audit trail.
When humans are paged, they get a timeline — not a one-line alert.
Every resolved incident updates the runbook library.
Book a 30-minute working session with our team. We'll walk through your stack, your pain points, and what a pilot looks like.
