Komodor is an autonomous AI SRE platform for Kubernetes. Powered by Klaudia, it’s an agentic AI solution for visualizing, troubleshooting and optimizing cloud-native infrastructure, allowing enterprises to operate Kubernetes at scale.
Proactively detect & remediate issues in your clusters & workloads.
Easily operate & manage K8s clusters at scale.
Reduce costs without compromising on performance.
Guides, blogs, webinars & tools to help you troubleshoot and scale Kubernetes.
Tips, trends, and lessons from the field.
Practical guides for real-world K8s ops.
How it works, how to run it, and how not to break it.
Short, clear articles on Kubernetes concepts, best practices, and troubleshooting.
Infra stories from teams like yours, brief, honest, and right to the point.
Product-focused clips showing Komodor in action, from drift detection to add‑on support.
Live demos, real use cases, and expert Q&A, all up-to-date.
The missing UI for Helm – a simplified way of working with Helm.
Visualize Crossplane resources and speed up troubleshooting.
Validate, clean & secure your K8s YAMLs.
Navigate the community-driven K8s ecosystem map.
Who we are, and our promise for the future of K8s.
Have a question for us? Write us.
Come aboard the K8s ship – we’re hiring!
Discover our events, webinars and other ways to connect.
Here’s what they’re saying about Komodor in the news.
Join the Komodor partner program and accelerate growth.
Compare Komodor vs. Legacy APM Tools
Go beyond monitoring. Traditional APMs tell you when something is slow, but only Komodor’s Autonomous AI SRE platform tells you why it happened applies fixes in seconds.
Legacy tools scatter clues across disconnected dashboards, metrics, and logs, forcing engineers to manually stitch the story together. Komodor unifies everything into a coherent, timeline-aware view that provides 95% accurate root cause analysis.
Legacy APMs were built for traditional apps and “patched” for Kubernetes, often leaving massive gaps in container-specific context. Komodor was purpose-built from the ground up to master the unique complexities of the cloud native ecosystem.
APMs act like a thermometer telling you that you have a fever, but they can’t cure the “illness”. Komodor’s Agentic AI technology, Klaudia, moves beyond detection to provide autonomous remediation or 1-click fixes that slash MTTR by over 65%.
Yes. APMs are excellent for monitoring application performance and spotting slowdowns, but they weren’t designed for Kubernetes day-2 operations. Komodor goes beyond APMs by adding root cause analysis, incident timelines, and cost optimization — the areas where APMs stop short.
Here’s the thing. Your APM tells you what’s wrong, but not why. By telling you what went wrong, when it happened, and why it happened, Komodor shortens MTTR. It reduces downtime costs and optimizes spend to help you achieve savings that typically far outweigh the cost of the platform. Many teams find that Komodor pays for itself through reduced engineering hours and cloud spend.
Absolutely. APMs can show a spike in latency or a failing service, but they don’t connect that symptom to a recent deployment, config change, or cluster event. Komodor provides that missing context. It shows you exactly what changed and why it matters, so teams move from detection to resolution much faster.
Yes. Komodor was built for scale. It pulls data from across the entire Kubernetes ecosystem, including deployments, configs, logs, metrics, and cluster events. Role-based access control (RBAC) and governance features make sure each team only sees what they need while platform teams keep oversight. The result is a single source of truth that empowers developers, SREs, and ops with self-serve troubleshooting, shared visibility, and compliance-friendly access.
Komodor uses AI to analyze signals from across your Kubernetes environment—deployments, configs, logs, and metrics—and correlate them into clear timelines, probable root causes, and actionable recommendations. The AI is trained on real-world Kubernetes patterns, and always paired with transparent context so engineers understand why an issue is flagged. This makes it not just reliable, but trustworthy: Komodor’s AI accelerates human decision-making without replacing engineering judgment.
Yes. Komodor was built to work with the tools you already rely on—alerting systems like PagerDuty or Opsgenie, observability stacks like Datadog, Prometheus, or Grafana, collaboration platforms like Slack and Microsoft Teams, and even GitOps tools like ArgoCD. Komodor enriches these integrations with Kubernetes context and change intelligence, so your team gets the full picture without leaving existing workflows.
Legacy APMs often require weeks of configuration, multiple agents, and architecture changes. Because Komodor is Kubernetes-native, it can be deployed in minutes to immediately provide a unified view of your entire cloud native infrastructure and start resolving incidents.
Komodor offers a free trial so teams can get up and running quickly and see value in just a few days. For long-term use, Komodor is a paid platform that scales up with your cloud native footprint. The real ROI comes from the time and money it saves, reducing MTTR, cutting cloud costs, and giving developers autonomy.
See why Dev, Platform & FinOps teams love Komodor on G2
Mid-Market
Komodor is the only platform that provides a contextual understanding of everything running in your clusters; from workloads and native resources to critical add-ons like service meshes and autoscalers. Battle-tested and purpose-built for demanding large scale enterprise environments, who prioritize cost optimization with reliability.
Powered by Klaudia Agentic AI, Komodor rapidly resolves the resource inefficiencies and performance-killing bottlenecks that inflate your cloud bill. Komodor’s specialized agents autonomously correlate live telemetry with historical data to implement automated workload right-sizing, intelligent bin packing, and eliminate the waste caused by unevictable pods.
Gain instant visibility into your clusters and resolve issues faster.
May 12 · 9:00EST / 15:00 CET · Live & Online
🎯 8+ Sessions 🎙️ 10+ Speakers ⚡ 100% Free
By registering you agree to our Privacy Policy. No spam. Unsubscribe anytime.
Check your inbox for a confirmation. We'll send session links closer to May 12.