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Listed in Automation & Workflows with 42 other toolsPart of 2555+ curated AI tools on AISO
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Steadwing

An autonomous on-call engineer that correlates logs, metrics, traces and code into evidence-backed root cause in under 60 seconds — free tier, then $99/mo

freemiumPriced by team size and monthly RCA volume, with no credit card to start. Free is $0/month: 1 user, 10 RCAs and 2 integrations. Pro is $99/month: 5 users, 50 RCAs and 5 integrations. Team is $199/month and is marked most popular: 10 users, 100 RCAs and unlimited integrations. Enterprise is request-pricing. Upgrades are available at any time.View full pricing →

About Steadwing

Steadwing is an autonomous on-call engineer that takes an alert and returns a root-cause analysis with evidence instead of a dashboard link. When an incident fires it pulls context from the tools a team already has — Datadog, PagerDuty, Slack, GitHub and others — correlates logs, metrics, traces and recent code changes, and produces a single view of what broke and why, with the supporting evidence attached rather than a probabilistic guess. The stated target is root cause in under sixty seconds, against the several hours a human typically spends piecing the same picture together across a dozen browser tabs at three in the morning. Two design choices distinguish it from the alert-summarisation tools in the same category. The first is remediation: Steadwing proposes both a short-term fix and a long-term one, and can either hand them over for approval or apply them itself, so the output is an action rather than a report. The second is that incident context compounds — it retains incident history and past fixes and gets more accurate on repeat classes of failure, and you can ask follow-up questions about any past incident and get an answer grounded in that history. Integration is agentless: nothing to deploy on hosts, no code changes, connect the existing stack and it starts working.

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Key Features

Root-cause analysis in under 60 seconds with the evidence attached
Correlates logs, metrics, traces and code changes across the existing stack
Proposes both short-term and long-term fixes; can apply them on approval
Incident history compounds — accuracy improves on repeat failure classes
Agentless integration with Datadog, PagerDuty, Slack and GitHub

Tags

incident-responsesreobservabilityroot-cause-analysisdevops
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