Ensure Your Clusters and Workloads Are Running as Intended. All the Time.
Proactively detect and remediate issues in your clusters with continuous standards validation, AI-powered root cause analysis, and automated troubleshooting playbooks.
Kubernetes Health Management Should be Holistic and Automated
Managing and optimizing K8s health at scale requires analysis of millions of data points 24/7 and constant correlation of changes in the infrastructure and workload layers, as well as cluster add-ons (operators and CRDs) and 3rd-party integrations. As your environment grows, it’s virtually impossible for platform teams to keep up, and developers lack the expertise to diagnose and solve problems on their own.
Komodor connects the dots for you across the entire K8s stack – revealing hidden issues, assessing impact, prioritizing, and providing clear playbooks for remediation. With Komodor, you can solve critical issues fast, continuously optimize your environment, and prevent future issues.
Rapidly Detect, Investigate and Remediate Real-time Issues
Komodor accelerates troubleshooting with out-of-the-box monitors that detect, investigate, and remediate issues across your workloads and underlying infrastructure. Hundreds of auto-generated, step-by-step playbooks guide both application developers and platform engineers all the way to remediation, and provide suggestions for optimization and preventive measures.
Klaudia, our proprietary AI agent, pinpoints the exact root-cause, along with supporting evidence. With Komodor’s health management, you can slash mean time to resolution and minimize downtime of critical services.
Proactively Mitigate Reliability Risks to Your Clusters
Ensure the health and stability of your Kubernetes clusters with proactive reliability management and 100s of auto-generated playbooks for any Kubernetes issue. Komodor continuously monitors and identifies potential risks such as cascading failures, infrastructure issues affecting workloads, misconfigured workloads causing resource hogging, failed or hanging add-ons that have cluster wide impact or clusters approaching EoL. Komodor helps overcome any obstacles and deliver peak cluster performance and uptime.
Avoid Configuration Drift and Maintain Version Consistency
Keep your Kubernetes clusters consistent and standardized with powerful drift analysis capabilities. Starting with deep, contextual visibility, Komodor also highlights configuration drifts across clusters and workloads, helping you quickly identify deviations that can lead to performance issues or reliability risks. Monitor release rollouts, detect anomalies in resource consumption, flag breaking changes, track updates, durations, and receive instant alerts with failure analysis and remediation suggestions.
Enforce Governance and Standards Across the Organization
Reduce security risks or potential downtime, and safely delegate control across your Kubernetes environment with robust guardrails and policies. Komodor offers both OOTB and fully customizable policy templates, enabling you to detect policy violations, assess their severity, and evaluate runtime impacts. Seamlessly integrate with policy engines like Open Policy Agent (OPA) and Kyverno to further strengthen governance and security measures.
Experience the Full Value of Komodor
Health & reliability management is part of Komodor’s comprehensive Kubernetes Management Platform, designed to tackle the biggest challenges of Day-2 operations.
Accelerate Every Cloud-Native Initiative
with Komodor
Dev Empowerment
Reduce the K8s barrier to entry and enable self-service for developers with unparalleled DevX and heuristics.
Reduce MTTR
Slash the number of tickets and the time to resolution with AI-driven root cause analysis and automated remediation.
Kubernetes Migration
Whether you’re migrating from bare-metal, VMs, EC2, or PCF, Komodor helps you get it done right from Day-0.
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The DevOps Handbook for Kubernetes Errors eBook
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Hidden Signals in K8s Clusters: A Data-Driven Approach to Reliability
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Boost Kubernetes Reliability by Managing the Human Factor
In this blog, we’ll dive into how human error has become a top cause of issues in Kubernetes clusters. We’ll analyze the results of key reports, look at specific outage events, and discuss how innovative tools such as Komodor can help solve these problems.
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