Komodor is a commercial SaaS platform for Kubernetes troubleshooting and fleet operations. You install an agent in each cluster and it streams Kubernetes events, resource diffs, Helm releases, Argo CD sync history, and optional log/metric snapshots into a central backend that builds a timeline of every change.
The product is organized around that timeline: when a pod starts crashlooping, you can see which Deployment revision, ConfigMap, Secret, or upstream chart change correlates in time with the failure, without stitching together kubectl output yourself. It layers RBAC, drift detection across a fleet of clusters, a node actions/remediation layer, and an AI assistant (Klaudia) that proposes probable root cause. Komodor is agnostic about where clusters run — EKS, GKE, AKS, on-prem — and connects to Prometheus/Datadog/Sentry/PagerDuty for cross-correlation.
Overlapping tools include Robusta, Cast AI, Datadog’s Kubernetes product, and open-source k8sgpt. Komodor’s focus is specifically the change-centric view of why a workload broke between yesterday and today, which is a different angle than general-purpose Kubernetes observability.