Drift Happens.
Detect & Reconcile Automatically.
Define your desired state as the baseline, and let Komodor ensure consistency and standardization across your Kubernetes clusters, at any scale.
Detect Configuration Drift Across Your Cluster Fleet
Quickly identify deviations that could impact performance or cause service disruptions by monitoring release rollouts, detecting anomalies in resource consumption, flagging breaking changes, and tracking updates and durations. Clear side-by-side visual comparisons of critical attributes like resource requests, limits, replicas, and container configurations simplify drift management across large multi-cluster/cloud environments even further.
Supercharge Your GitOps Pipeline with Automated Troubleshooting
Harness Komodor’s seamless integration with GitOps engines like Argo and Flux, combined with intelligent events timeline and robust troubleshooting capabilities, to enable engineers to move fast with confidence. Drift management leverages cutting-edge Klaudia agentic AI, designed to pinpoint incident root causes with unmatched speed and accuracy and deliver automated remediation.
Enforce Governance and Standardization at Scale
Enhance security, reduce downtime, and establish robust governance across your Kubernetes clusters by clearly identifying drifted cluster policies. Leverage both out-of-the-box and customizable policy templates to detect these violations, assess their severity, and evaluate runtime impacts, seamlessly integrating with tools like Open Policy Agent (OPA) and Kyverno to proactively enforce standards, minimize risks, and ensure stability.
Achieve Autonomous Kubernetes Management at Scale
K8s Drift Analysis is part of Komodor’s comprehensive AI SRE Platform, designed to enable smoother cloud native operations.