Cut Cloud Costs
Without Breaking Production

AI-driven cost optimization that understands performance, risk, and real usage.

Scheudle a Demo

Komodor | Product Demo Video

Reliably cutting cloud infrastructure costs in demanding enterprise environments

Cost Optimization Isn’t a Finance Problem.
It’s an Engineering Problem.

Most cost tools look at spend in isolation, but successful optimization requires understanding how workloads behave in production. Komodor applies AI across your stack to safely reduce waste, right-size resources, and optimize infrastructure in real time.

See how it works

Understand

Get complete visibility into your Kubernetes spend across clusters, teams, and environments. Break down costs by workload, track usage in real time, and uncover where you’re overpaying.

Understand your costs

Optimize

Continuously right-size CPU and memory based on real usage. Eliminate overprovisioning and reduce waste with AI-driven recommendations that adapt to your workloads.

Test Drive

Automate

Safely apply cost optimizations with guardrails. Improve bin-packing, optimize scheduling, and unlock autoscaler efficiency, without risking performance or uptime.

Free Signup

Cost Optimization Without the Risk

Most cost optimization tools focus on savings alone, ignoring the impact on performance and reliability. That’s why teams hesitate to act.

Komodor takes a different approach.

- Optimize costs based on real workload behavior, not static thresholds
- Continuously right-size resources without degrading performance
- Apply changes safely with built-in guardrails and full visibility
- Proven to reduce Kubernetes spend by up to 40–60% without disrupting production

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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

Cut Cloud CostsWithout Breaking Production