AI SRE

AI SRE Workflows that Take You From Alert to Fix

Ready to run, battle-tested agentic AI SRE workflows for incidents, alert noise and recurring failures, running 24/7 to keep your production reliable.

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Real Impact, Measurable Results

0%+

Accuracy in RCA

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Reduction in MTTR

0%

Fewer Tickets & Escalations

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DevOps Hours Saved Weekly

“Komodor has improved the user experience for our engineers, which led to a reduction in the number of tickets we received, as the engineers were able to self-serve more using Komodor.”

Michael B.

Site Reliability Engineering Manager, OpenTable

Incident Management

End-to-End Incident Management While You Sleep

Eliminate the war room chaos with agents that automate the entire incident response process, from opening a ticket to generating a post-mortem

The incident management workflow owns the path from an incoming alert to an understood, remediated production incident. Detection, grouping, investigation and suggested remediation each run as steps that leave their own evidence, so the conclusion can be audited rather than trusted.

Troubleshooting

Autonomous Remediation for Every Issue Across the Stack

Komodor automatically detects issues, dedupes, correlates millions of disparate datapoints, performs a rapid and precise root-cause analysis, applies remediation steps, and verifies the fix

Responding to alerts usually means manual retrieval: checking dashboards, recent deployments, and team channels. This module automates that process by grouping related alerts into a single incident, running parallel domain investigations, presenting an audited root cause with evidence, and suggesting a remediation for human approval. You make the decision while Komodor handles the prep work.

Incident response workflow

Production-Grade
AI SRE Workflow
in Action

Getting from working agent to end-to-end autonomous workflows your whole team can use and trust requires expertise built on years inside production operations. Komodor’s AI SRE Solution Module encapsulates hard-earned lessons from decades of operating production in the trenches.

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Incident response workflow

01

Ingest & Produce

a Datadog alert, a Grafana Loki spike, and a Kubernetes rollout each fire independently.

Alert Intelligence

Reduce Alert Noise and Focus on What Truly Matters

Automate away low-level incidents and toil-heavy operations. Classify which monitors are worth waking up for, and propose the thresholds and suppression rules that silence the rest.

Most alerting setups accumulate untrusted monitors that fire repeatedly, training on-call engineers to ignore pages, even critical ones. Komodor automates the tedious work of reviewing firing histories and classifying alerts. It continuously provides actionable proposals, such as tuned thresholds, deduplication rules, and suppression windows, supported by justification data.

Proactive Reliability Optimization

Prevent Issues Before They Happen with Proactive Reliability Optimization

Komodor continuously analyzes signals from across the stack to flag potential risks to reliability, and automatically fixes them before they escalate into a full-blown incident

Incident response usually focuses on speed, but this workflow focuses on eliminating recurring issues. These root causes are rarely prioritized because engineers are consumed by active incidents. The highest-return work happens when nothing is broken. While recurring pages cost more over time than the fixes themselves, they are ignored during live incidents. Komodor delivers targeted fix proposals right after an incident occurs, when evidence is strongest. The outcome is a shrinking list of repeat causes, with every fix linked to an approved change.

Powerful out-of-the-box building blocks to supercharge existing and custom workflows

Production alert investigator

Correlates production alerts, runs a multi-agent root-cause analysis, and governs remediation.

Alert noise reduction

Reads your monitors’ firing history, classifies each one, and proposes the fix.

Error-budget burn triage

Tracks and ranks reliability budget consumption by service and cause. Outputs a prioritized list of actionable fixes instead of a raw dashboard.

Recurring failure → fix proposal

Triggers on repeating failure patterns to identify recurrences and propose concrete fixes—often an automated agent with defined triggers, permitted actions, and dry-run validation.

Build or Bring Your Own Agents and Skills

Connect an agent you already run; Google ADK, LangChain, Claude Agent SDK or Agno, by generating the wrapper that registers it and reports its evidence.

Ready to run agentic operations that scale with you?

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