The Autonomous AI SRE Platform
for Your Cloud-Native Infrastructure

Komodor automatically detects, investigates and remediates complex issues to proactively reduce cloud costs, slash MTTR and vanquish TicketOps.

See Komodor's AI SRE in action

Komodor | Product Demo Video

Trusted in production by the world's most demanding cloud-native enterprises

The Power of Kubernetes and Cloud Native
Minus the Complexity

Managing cloud native infrastructure has become too complex and time-consuming for humans alone. Komodor harnesses the power of agentic AI to automate operations across the stack – contextual visualization, lightning-fast troubleshooting, autonomous cost optimization and more.

Explore the Platform

Visualize

Consolidate multi-cluster, cloud, and hybrid estates in curated, contextual workspaces. Empower engineers, data scientists, and experts to instantly understand status, change history, dependencies and insights.

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Troubleshoot

Automatically detect, investigate, and remediate any issue across the most complex cloud-native environments. Slash MTTR to just seconds with battle-tested, AI-driven root cause analysis, one-click fixes and autonomous self-healing.

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Optimize

Turbocharge Kubernetes cost efficiency with dynamic right-sizing, constraint-aware bin-packing and intelligent pod placement. Extend autoscalers with predictive intelligence, smart scaling, and zero-downtime workload migration.

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Not Another AI SRE Assistant

AI SRE (AI Site Reliability Engineering) is an autonomous approach to reliability that detects, investigates, and resolves production issues without manual intervention.
Powered by Klaudia Agentic AI, Komodor brings AI SRE to life, rapidly resolving complex cloud-native incidents.
Covers scenarios such as failed containers, cascading errors, faulty add-ons, CRDs, and workload breakdowns.
Built on hundreds of specialized AI agents trained across thousands of real-world production environments.
Proven in production, delivering up to 95% accuracy in incident detection and resolution.

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	Komodor AI SRE Platform	AIOps / Traditional SRE Tools
Incident Detection	Automatically detects anomalies in real time using AI agents	Relies on alerts, thresholds, and manual monitoring
Root Cause Analysis	Autonomous investigation across services, configs, and dependencies	Manual correlation across multiple tools and dashboards
Resolution	Suggests or executes remediation actions automatically	Requires manual troubleshooting and playbooks
Noise Reduction	Correlates signals to reduce alert fatigue and false positives	High alert noise with limited context
Learning & Adaptation	Continuously learns from past incidents and environments	Static rules and predefined thresholds
Time to Resolution (MTTR)	Significantly reduced through automation and guided remediation	Slower due to manual investigation and fragmented tooling
Kubernetes & Cloud-Native Coverage	Deep, context-aware visibility across Kubernetes and cloud-native stack	Partial visibility across siloed tools
Operational Efficiency	Reduces engineering toil and operational overhead	High manual effort and operational cost

Komodor Delivers Proven ROI

Quantifiable results from teams who’ve transformed their cloud native operations

Cut Down

$ 0 M+

In Kubernetes compute costs

Resolve

0 +

Production
incidents

Save

~ 0 %

Engineering
Hours

Reduce

0 +

Tickets & SRE escalations

4.4 rating

The Award-Winning AI SRE Platform

“Unlike traditional APM tools, Komodor is purpose-built for Kubernetes management, making it highly intuitive and delivering deep insights with minimal overhead. Their support team has also been responsive and helpful throughout our implementation.”

Nati S.

Dell Technologies Fellow

“Komodor makes our developers’ lives easier and lightens the load on our SRE team with an estimated 40% reduction in tickets. Klaudia AI makes higher-order Kubernetes deployments smoother, autonomously troubleshooting issues and accelerating MTTR by over 80%”

Hasith Kalpage

CISO & Director of Plaform Engineering. Cisco

“Komodor has been a game-changer for our team. It significantly accelerates the RCA process for Kubernetes-related issues and even helps us troubleshoot our own applications. Adoption was quick, and the value became clear almost immediately.Their AI agent, Klaudia, now supports uploaded context, allowing it to better understand your product and environment.”

Yuval R.

DevOps Engineer

“What I like best about Komodor is its stability and the accuracy of the information it provides. The intuitive UI also makes it easier to monitor services without getting lost in unnecessary details, which really helps my team stay efficient. It became an important part of our daily workflow. We use it frequently to ensure service stability.”

Michael S.

Director of Cloud Operations, Global Technology Company

“Komodor serves as an excellent single pane of glass for Kubernetes. In our large environment, which includes over 1,000 nodes and 20,000 pods, it has significantly reduced the time needed to find root causes. My team has become more productive and can proactively address issues before they turn into incidents, thanks to Komodor.”

Tiago B.

Director of Software Engineering, Digibee

“The centralized perspective, combined with AI that analyzes issues, reviews logs and events, identifies root causes, and suggests solutions, has saved us a significant amount of time. Overall, it's extremely helpful for both admins and developers who may not be Kubernetes experts.”

Daniel R.

Head of DevOps, Enterprise Software Company