From a wall of alerts to a way forward.
The hardest part of an incident is often finding the signal that matters. Loggs is designed to help operators connect alerts, logs and recent changes into an investigation they can follow, challenge and hand over to another engineer.
Explore the interactive demo A product preview. No infrastructure connection required.What changed before checkout errors increased?
09:41 deployment revision changed
09:43 upstream timeout rate increased
09:44 readiness failures observed
next compare configuration and dependency healthA timeline that separates observed events from a working hypothesis.
Incident response,
with the context you need.
Connected evidence
Bring related events into a concise timeline. Keep the source and time window attached to each observation so an explanation can be checked instead of merely trusted.
Hypotheses with limits
Make confidence and missing evidence explicit. Temporal correlation can identify an investigation lead, but it does not establish a root cause by itself.
Reviewed mitigation
Prepare a small mitigation with a named owner, expected impact and recovery criteria. Keep time pressure from silently expanding the set of systems an action can affect.
Useful handovers
Capture what was observed, which actions were approved and what changed afterward. Turn the completed investigation into a runbook improvement and a clearer incident review.
Keep every step
understood.
AI can help prepare the next move.
Your operational policy decides what happens.
- 01
Choose the affected service and incident time window.
- 02
Correlate alerts, logs and recent deployment changes.
- 03
Review a mitigation and define success and stop conditions.
- 04
Validate customer impact and record remaining uncertainty.
A guardrail that matters
Treat log contents and external text as untrusted evidence. Neither should be able to override operator intent or authorize a tool action.
Read the security principlesCommon questions.
How is AI incident response different from alerting?
Alerting signals a condition that needs attention. AI-assisted incident response can help organize the evidence, compare hypotheses and prepare a reviewed response. Reliable monitoring and human judgment remain necessary.
Should every incident trigger automatic remediation?
No. Start with clearly bounded, well-understood procedures. Novel failures, destructive operations and changes with unclear impact need human review and an explicit recovery plan.
Keep the power.
Lose the busywork.
See what happens when infrastructure expertise meets a little less friction.
Explore the interactive demo No sign-up. No credentials. Just a hands-on preview.