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AI Software Operations

Ship Change Faster Without Shipping Incidents

Ready-to-run agentic workflows keep pipelines green, judge every change and hold every release to your production standards. Customize any step, or add your own agents, to fit the way your team ships.

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Real Impact, Measurable Results

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Increase in dev velocity

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Faster K8s onboarding

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Fewer escalations

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Reduction in failed deployments Hours Saved

“Komodor has been a game-changer! The platform’s excellent capabilities help us quickly pinpoint and resolve problems, making operations far less stressful and much more efficient.”

Samor Isa

CloudOps Tech Lead, BioCatch

Change Intelligence & Risk Control

Get an evidence-backed verdict on every change

Most teams decide whether a deploy is safe with a quick look at a dashboard. That means that problems that surface later, or only under real traffic, get through.

Komodor briefs you before a change ships, so you know what it could break, who owns it, and which signals to watch. It then weighs latency, errors and cost together, through the soak window or canary, so a speed gain can’t hide a regression. Every change gets a ship, hold or roll back verdict, with the evidence on record. Rollbacks wait for your approval.

Explore the Docs on the Change Intelligence Module

Explore the Docs on the Change Intelligence Module
Production Readiness & Standards

One production bar for every release

Production standards usually live in templates, checklists and tribal knowledge. That can mean whether a release is ready depends on who reviews it and what they remember.

Komodor scores every release candidate and checks every new service before it takes traffic, recording the evidence for each failure and assigning follow-up work for the gaps. It then passes the release, blocks it, or routes a time-limited waiver for approval. A nightly sweep alerts owners when a live service drifts from your standards.

Explore the Docs on the Production Readiness Module

AI SOFTWARE OPERATIONS WORKFLOW

Production-Grade AI Software Ops 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 Software Operations Solution Modules cover the full life of a change, from a healthy pipeline to a verified rollout.

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AI SOFTWARE OPERATIONS WORKFLOW

01

Trigger

Argo’s canary step fires and posts a deploy event to the module’s endpoint.

CI/CD Health & Remediation

A pipeline your team can trust

Flaky stages teach engineers to hit re-run, and growing queue times push them to batch changes. Over time, a red build stops meaning anything.

Komodor finds the stages that fail for no real reason and quarantines them, either automatically or as a proposal for you to review. Each quarantine has an owner, so it gets fixed rather than forgotten. Komodor also shows where pipeline time goes, and proposes fixes for the biggest bottlenecks as pull requests.

Explore the Docs on the CI/CD Pipeline Health Module

Powerful out-of-the-box building blocks to supercharge optimization workflows

Post-deploy verdict

Triggers post-shipment. It maps the change's blast radius, monitors signals during a soak window, and issues a ship, hold, or rollback verdict with comparative evidence.

Canary judgement

Triggers during canary rollouts. It evaluates canary performance against baselines across latency, errors, and cost to promote or abort accurately.

Change blast-radius brief

Runs pre-shipment to generate an automated pre-flight brief detailing potential breakages, service owners, and key signals to monitor.

Pre-release readiness gate

Triggers when a release candidate is ready. It selects applicable service standards, scores the candidate, collects evidence for failures, and either passes, blocks, or routes a waiver for approval.

Standards drift sweep

Runs nightly across production services to evaluate standards against past scores, alerting owners to post-release regressions.

New service onboarding review

Evaluates new-service requirements before enabling traffic, logs verdict evidence, and assigns follow-up work for gaps.

Flaky stage quarantine

Runs on a set schedule to identify and quarantine failing stages intermittently so merges aren't blocked. Quarantines remain visible and assigned to ensure they are temporary.

Queue-time & failure-rate triage

Runs on a schedule to report merge-path bottlenecks and stage failure rates, recommending high-impact fixes.

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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