Komodor
Autonomous AI SRE Platform for Cloud-Native Infrastructure
À propos de Komodor
Komodor is an AI-powered platform designed to simplify cloud-native operations. It automates issue detection, troubleshooting, and cost optimization across Kubernetes and multi-cloud environments. With features like contextual visualization, autonomous remediation, and predictive scaling, Komodor reduces MTTR, cuts cloud costs, and eliminates operational complexity for enterprises.
Tarifs
Page de tarifs complèteAbonnementOption gratuite
Teams
Sur mesure
50 Nodes, 25 Users
- Playbooks and Monitors
- Static and runtime environment analysis
- Drift detection and analysis
- Automated remediation playbooks
- Infrastructure and workload reliability risks
- OOTB health standards
- Operations
- Real-time resource visibility (events, logs, metrics)
- Direct resource management (pod shell, port forwarding, cordon, etc.)
- Custom workspaces for teams
- Visibility for Kubernetes add-ons
- Enhanced observability timeline
- Visual change tracking
- Cost
- Dynamic pod right sizing
- Cost allocation visibility
- Optimization Autopilot
- Cost impact analysis
- AI Powered Troubleshooting
- Auto-detection of Kubernetes issues
- Autonomous investigation and remediation
- Klaudia AI Agents
- Analysis of cascading failures
- Policies and Monitoring
- OOTB and customized policies and monitors
- Kubernetes add ons monitors
- Data correlation and enrichment from 3rd party resources
- Configurable notifications and alerts
- IP Whitelisting
- Support & Access & Integrations
- SLA 9 to 5
- Tech Support
- Enhanced support response time
- Dedicated Customer Success
- RBAC
- Data Retention
- Temporary and JIT access
- Comprehensive audit logs
- Centralized Kubeconfig management
- SSO
- Integrations
- Komodor API
- Custom Kubernetes Addons
- SOC 2 Type II, GDPR Compliant
Enterprise
Sur mesure
Custom pricing, Unlimited Users
- Playbooks and Monitors
- Static and runtime environment analysis
- Drift detection and analysis
- Automated remediation playbooks
- Infrastructure and workload reliability risks
- OOTB health standards
- Operations
- Real-time resource visibility (events, logs, metrics)
- Direct resource management (pod shell, port forwarding, cordon, etc.)
- Custom workspaces for teams
- Visibility for Kubernetes add-ons
- Enhanced observability timeline
- Visual change tracking
- Cost
- Dynamic pod right sizing
- Cost allocation visibility
- Optimization Autopilot
- Cost impact analysis
- AI Powered Troubleshooting
- Auto-detection of Kubernetes issues
- Autonomous investigation and remediation
- Klaudia AI Agents
- Analysis of cascading failures
- Policies and Monitoring
- OOTB and customized policies and monitors
- Kubernetes add ons monitors
- Data correlation and enrichment from 3rd party resources
- Configurable notifications and alerts
- IP Whitelisting
- Support & Access & Integrations
- SLA 24×7
- Tech Support
- Enhanced support response time
- Dedicated Customer Success
- RBAC
- Data Retention
- Temporary and JIT access
- Comprehensive audit logs
- Centralized Kubeconfig management
- SSO
- Integrations
- Komodor API
- Custom Kubernetes Addons
- SOC 2 Type II, GDPR Compliant
FAQ
Komodor turbocharges Kubernetes cost efficiency with dynamic right-sizing, constraint-aware bin-packing, and intelligent pod placement. It extends autoscalers with predictive intelligence, smart scaling, and zero-downtime workload migration.
Klaudia is Komodor's agentic AI that rapidly resolves complex cloud-native issues. It is powered by hundreds of specialized agents trained on thousands of production environments, delivering 95% accuracy across real-world incidents.
Komodor serves as a single pane of glass for Kubernetes, consolidating multi-cluster, cloud, and hybrid estates in curated, contextual workspaces. It empowers engineers and data scientists to instantly understand status, change history, dependencies, and insights.
Komodor's support team has been praised for being responsive and helpful. They assist with implementation and provide ongoing support to ensure the platform is effectively utilized.
Yes, Komodor has been used in large environments with over 1,000 nodes and 20,000 pods. It significantly reduces the time needed to find root causes and helps teams proactively address issues before they turn into incidents.
Komodor slashes MTTR to just seconds with battle-tested, AI-driven root cause analysis, one-click fixes, and autonomous self-healing. It has been shown to accelerate MTTR by over 80% in real-world scenarios.
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