Lifecycle phase 9 of 13

Operate: AI tools

Observability, incident response and AI SRE agents.

14 tools list this as the main phase, and 10 more tools cover it. Each claim is the vendor's own words, and every fact on a tool's page links to its source.

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Main phase

CauselyCausely“Causal reasoning system that gives AI ops agents deterministic cause-and-effect context, so they stop guessing about production.”
ClericCleric“Follows every change after merge, verifies its effect under real production traffic and investigates before it becomes an incident.”
Dash0 (Agent0)Dash0“OpenTelemetry-native observability with AI agents: watches the agents writing your code and fixes problems in production.”
Datadog (Bits AI)Datadog“Cloud monitoring and security platform; Bits AI runs incident tasks, writes postmortems and, as Bits AI Dev Agent, suggests tests for uncovered code.”
DynatraceDynatrace“Observability built for the age of AI: deterministic AI and AI agents that prevent problems and coordinate action across clouds.”
incident.ioincident.io“AI software reliability platform unifying on-call, agentic root cause analysis, incident response and status pages.”
KomodorKomodor“Agentic operations platform for production Kubernetes: build, run, optimise and govern, with an AI SRE for root cause.”
NeuBird (Production Ops Agent)NeuBird AI“Production Ops Agent: does what an AI SRE does, then prevents downtime before the page and resolves what gets through.”
New RelicNew Relic“AI-powered observability platform that correlates telemetry across the stack, with an SRE Agent to isolate and resolve issues.”
PagerDutyPagerDuty“AI-first operations platform: AI agents automate incident toil so teams resolve faster and learn from each incident.”
Resolve AIResolve AI“AI SRE platform that goes on call on your behalf and autonomously resolves incidents.”
RootlyRootly“AI-native incident management: an AI SRE that helps diagnose and remediate issues, with on-call and response in Slack or Teams.”
Sentry (Seer)Sentry“Error monitoring and tracing for developers; the Seer AI debugging agent uses logs, commits, traces and stack traces to fix issues.”
TraversalTraversal“The AI SRE for complex systems: triages alerts, finds root cause and resolves incidents at petabyte scale.”

Also covers this phase

Tools whose main phase is another one.