Sold by: Komodor
Deployed on AWS
The Only, Unified Dev-First Kubernetes Platform. Easily Operate, Troubleshoot & Optimize Your Application Costs.
4.4
Overview
Todays microservices systems are complex, distributed and they are constantly changing. Keeping track of so many moving parts in so many places often seems nearly impossible. Komodor is the missing piece in the DevOps tool chain, enabling teams to gain control over their entire stack. Komodor tracks alerts and changes (such as code, configs and deploys) across the entire K8s-based stack, analyzing their ripple effect and then providing devs, DevOps and SRE teams the context they need to troubleshoot efficiently. For private offers above 1 node contact awsmarketplace@komodor.com
Highlights
- Automatic Troubleshooting
- Kubernetes Observability
- Assisted Remediation
Details
Sold by
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Additional vCPUs | Price per additional vCPU | $132.00 |
Komodor Enterprise - 1,000 vCPUs included | Enterprise platform pricing - including the first 1,000 vCPUs | $150,000.00 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
docs.komodor.com support@komodor.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Komodor
By Observe, Inc.
Top
100
In Monitoring
Top
10
In Issue & Bug Tracking, Monitoring and Observability
Top
10
In Application Performance and UX Monitoring
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Kubernetes Monitoring
Real-time tracking of alerts and changes across Kubernetes-based infrastructure
Distributed System Analysis
Comprehensive tracking and analysis of microservices interactions and dependencies
Troubleshooting Automation
Intelligent system for identifying and correlating changes affecting application performance
Infrastructure Observability
Detailed visibility into configuration, deployment, and code changes across entire stack
Incident Context Generation
Automated contextual insights for development, DevOps, and SRE teams to diagnose system issues
Distributed Tracing
Autonomously deploys tracing in serverless and containerized environments with single-click configuration
Log Correlation
Automatically correlates log data with distributed tracing for enhanced performance and troubleshooting
System Architecture Mapping
Generates real-time, auto-updated system architecture map based on actual execution data
Transaction Monitoring
Provides comprehensive end-to-end transaction tracking with detailed context and performance insights
Smart Alerting
Preconfigured intelligent alerting mechanism that detects and notifies critical issues in application infrastructure
Data Ingestion Capability
Supports petabyte-scale telemetry ingestion with high-performance processing across logs, metrics, and traces
AI-Powered Troubleshooting
Utilizes natural language processing and AI-driven root cause analysis for complex incident investigation
Knowledge Graph Technology
Implements a proprietary Knowledge Graph for structured data correlation and advanced search capabilities
Open Data Lake Architecture
Built on Snowflake data lake infrastructure enabling flexible and scalable telemetry storage and analysis
Multi-Dimensional Telemetry Analysis
Enables context-aware correlation across different observability data types including logs, metrics, and distributed traces
Standard contract
No
Customer reviews
Yuval R.
Effortless Onboarding and Time-Saving for Kubernetes Monitoring
Reviewed on Dec 23, 2025
Review provided by G2
What do you like best about the product?
Komodor is really easy to onboard. I've seen many monitoring tools in the past but this one shines in its ability to swiftly make a common developer be much more knowledgeable about his usage in Kubernetes, let alone the time it saves them and for the DevOps in troubleshooting.
RBAC management is great as well, Integrations and specifically the option to control it via TF/TG.
And lastly, great customer support!
RBAC management is great as well, Integrations and specifically the option to control it via TF/TG.
And lastly, great customer support!
What do you dislike about the product?
I wish that the drift analysis would be more adaptable to find RCAs.
Also, the Klaudia AI seems to not take too much previous context into it's replies, causing it to loop back to irrelevant reasons for failures and missing the real issue (in that case, some additional prompting and you can to the actual RCA)
Cost optimization looks really promising but it's not fit for any K8s application. It must be resilient enough to withstand the infra changes that the cost-optimization tools want to do.
Also, the Klaudia AI seems to not take too much previous context into it's replies, causing it to loop back to irrelevant reasons for failures and missing the real issue (in that case, some additional prompting and you can to the actual RCA)
Cost optimization looks really promising but it's not fit for any K8s application. It must be resilient enough to withstand the infra changes that the cost-optimization tools want to do.
What problems is the product solving and how is that benefiting you?
RCA assistance for Devops and developers
Cost overview and optimization paths
Versioning of deployed charts and comparison
Better RBAC control than via AWS EKS IAM.
K8s clusters inventory
Cost overview and optimization paths
Versioning of deployed charts and comparison
Better RBAC control than via AWS EKS IAM.
K8s clusters inventory
Pablo B.
Komodor: An Effective Solution with AI, but at a High Cost
Reviewed on Nov 01, 2025
Review provided by G2
What do you like best about the product?
Komodor effectively assists in the troubleshooting in POD executions, and provides significant help with its integrated AI.
What do you dislike about the product?
This is a great tool, though its costs are higher than those of other options available on the market.
What problems is the product solving and how is that benefiting you?
Komodor is a valuable tool for efficiently addressing problems when incidents occur or when troubleshooting issues arise on the platform where I work. It has made the process of resolving such challenges much more manageable.
Tiago B.
Komodor is great for leaner k8s teams
Reviewed on Oct 27, 2025
Review provided by G2
What do you like best about the product?
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.
What do you dislike about the product?
I was initially critical of their Cost Optimization features, but fortunately, they have made improvements. Now, I am able to get real value from them.
What problems is the product solving and how is that benefiting you?
Komodor has significantly helped us address incidents more efficiently. With their AI analysis tools, our mean time to resolution (MTTR) has dropped from several hours to just a few minutes.
Information Technology and Services
Komdoor review as a Kubernetes admin
Reviewed on Oct 08, 2025
Review provided by G2
What do you like best about the product?
User-friendly interface.
Users with little knowledge had an easy way of querying Kubernetes object in a graphical interface.
Basic metrics are easy to query.
Users with little knowledge had an easy way of querying Kubernetes object in a graphical interface.
Basic metrics are easy to query.
What do you dislike about the product?
When it comes to visualizing Kubernetes object a lot of similar functionality is also offered by free tools such as Headlamp and OpenLens.
For monitoring information we would still require our Prometheus / Grafana stack for our specific dashboarding / historical queries. We would prefer means of providing a single pane of glass.
For monitoring information we would still require our Prometheus / Grafana stack for our specific dashboarding / historical queries. We would prefer means of providing a single pane of glass.
What problems is the product solving and how is that benefiting you?
We have a lot of non-technical user that need to query information inside the Kubernetes cluster.
Komodor provided an intuitive way to do that.
Komodor provided an intuitive way to do that.
Mark H.
Making managing production deployments easy
Reviewed on Oct 08, 2025
Review provided by G2
What do you like best about the product?
The ability to quickly find problems amongst hundreds or thousands of running containers. The AI-assisted troubleshooting tool is very useful, and can quickly scan logs and find the root cause of problems.
What do you dislike about the product?
Searching for a service amongst lots of similarly named services is not as easy as I would like. If I have a lot of copies of the same service in different environments, then sometimes the search doesn't immediately bring back exactly what I want, especially if I'm not sure of the exact name of the k8s namespace or environment where the service lives.
What problems is the product solving and how is that benefiting you?
Monitoring to confirm everything is working after an upgrade is easy, as is identifying problems if something goes wrong.