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TL;DR - Komodor
- Automates detection, investigation, and remediation of complex cloud-native issues using AI.
- Reduces cloud costs and slashes MTTR for Kubernetes environments.
- Empowers developers with self-service troubleshooting and simplifies Kubernetes management.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Significantly reduces MTTR and engineering hours by automating troubleshooting.
- Provides a single pane of glass for Kubernetes, simplifying complex environments.
- Empowers developers to resolve issues independently, reducing SRE workload.
- Offers robust cost optimization features for Kubernetes compute.
- Highly accurate AI-driven root cause analysis with Klaudia AI.
Cons
- Pricing is based on the number of nodes, which might not suit all dynamic environments.
- Requires integration into existing Kubernetes infrastructure.
Key Features
Contextual visualization across multi-cluster, cloud, and hybrid estatesAutomated issue detection, investigation, and remediation with Klaudia AIDynamic pod right-sizing and intelligent pod placement for cost optimizationReal-time resource visibility (events, logs, metrics)Direct resource management (pod shell, port forwarding, cordon)Customizable workspaces for teams and enhanced observability timelineAutomated remediation playbooks and drift detectionGranular RBAC and comprehensive audit logs for governance
Pricing Plans
Free TrialIndividuals
Free Forever
- Full K8s inspection capabilities
- Basic K8s troubleshooting capabilities
- Basic K8s best practices
- Kommunity Support
Business
Contact us
- Everything in Individuals
- Advanced K8s troubleshooting capabilities
- Advanced K8s best practices
- Integrates with your entire stack
- Basic security and auditing capabilities
- 24/5 Live support
Enterprise
Contact Sales
- Everything in Business
- Full security and auditing capabilities
- 24/7 Live support & Enterprise SLA
- Unlimited Users, Clusters, Nodes and Events
About Komodor
By Toolradar Team·
Komodor is an autonomous AI SRE platform designed to detect, investigate, and remediate complex issues within cloud-native infrastructures, particularly Kubernetes environments. It leverages agentic AI, powered by Klaudia AI, to automate operations across the stack, providing contextual visualization, rapid troubleshooting, and autonomous cost optimization.
This platform is built for SRE teams, DevOps engineers, and developers managing Kubernetes at scale. It aims to reduce cloud costs, slash Mean Time To Resolution (MTTR), and eliminate "TicketOps" by empowering engineers with self-service troubleshooting capabilities. Komodor helps teams proactively address issues, improve reliability, and maintain control over complex, multi-cluster, cloud, and hybrid Kubernetes estates.
Key benefits include increased developer autonomy, simplified Kubernetes management, and significant reductions in engineering hours spent on incident resolution. It provides a unified view of Kubernetes environments, allowing for quick identification of root causes and offering remediation advice, even for those who are not Kubernetes experts.
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Komodor FAQ
How does Komodor calculate pricing for dynamic environments?
Komodor calculates pricing based on the average number of nodes in your clusters per annum. If this model does not fit specific needs, alternative arrangements can be discussed.
Is Komodor compliant with industry security standards?
Yes, Komodor is fully SOC 2 Type II and GDPR compliant, ensuring data security and privacy.
What kind of data does Komodor collect and how is it handled?
Komodor only listens to changes and collects metadata to track occurrences. It does not access underlying data, automatically blocks secrets, and allows customization to reduce additional data or limit access via Kubernetes RBAC. The agent does not transfer PII or sensitive data.
Does Komodor support all types of Kubernetes environments?
Yes, Komodor works with any Kubernetes flavor and is not limited by version. It supports public and private clouds, as well as on-premise or edge Kubernetes installations.
How does Komodor help developers troubleshoot Kubernetes issues?
Komodor provides developers with personalized workspaces, simplified visual timelines, and actionable insights. Its AI SRE automatically pinpoints root causes and offers remediation advice, enabling developers to independently monitor, operate, and troubleshoot their applications.
What is Klaudia AI and what does it do?
Klaudia AI is Komodor's agentic AI, which powers the platform's autonomous capabilities. It consists of hundreds of specialized agents trained on thousands of production environments, delivering high accuracy in detecting, investigating, and remediating complex cloud-native incidents.
Source: komodor.com