Master Komodor with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Sign up for a free Komodor Community account at https://komodor.com and verify your email address Install the Komodor agent in your Kubernetes cluster using the provided Helm chart or kubectl commands from your dashboard Connect your first cluster by following the step
step setup wizard that guides you through agent configuration and permissions Explore the timeline view to see your cluster events and deployments, then set up integrations with your existing tools like Slack or PagerDuty for notifications
💡 Quick Start: Follow these 2 steps in order to get up and running with Komodor quickly.
Explore the key features that make Komodor powerful for deployment & hosting workflows.
Intelligent correlation of Kubernetes events, deployments, and changes to identify root causes of issues using machine learning algorithms that understand cluster behavior patterns
Essential for DevOps teams needing to quickly troubleshoot complex Kubernetes application problems without manual log analysis
Automatic tracking and analysis of how deployments and configuration changes affect application performance with timeline visualization
Critical for understanding the impact of changes and preventing deployment-related incidents in CI/CD pipelines
Machine learning analysis that identifies potential problems before they impact application availability by analyzing historical patterns and anomalies
Perfect for proactive operations teams focused on preventing rather than just responding to incidents
Intuitive visualization of Kubernetes complexity with clear explanations and guided troubleshooting that requires no deep K8s expertise
Ideal for development teams who need to understand and troubleshoot Kubernetes without becoming platform engineers
Comprehensive timeline view that correlates deployments, configuration changes, and system events to show exactly what happened when
Invaluable for post-incident analysis and understanding the sequence of events that led to issues
When Komodor detects an issue — a crashing pod, failing deployment, unhealthy node, or alert from a connected monitoring tool — its agentic AI automatically pulls related logs, Kubernetes events, manifest diffs, and recent changes across the cluster. It then produces a ranked root cause hypothesis, links the failure to the change that likely caused it, and recommends or executes a remediation such as a rollback, restart, resource adjustment, or manifest edit, with the action gated by your RBAC policies.
Komodor supports managed Kubernetes services including Amazon EKS, Google GKE, Azure AKS, and DigitalOcean, as well as Red Hat OpenShift, Rancher, and self-managed/on-prem Kubernetes clusters. It connects to the Kubernetes API via an in-cluster agent and can ingest data from cloud providers, GitOps tools like Argo CD and Flux, CI/CD systems, and observability stacks.
Datadog and New Relic are broad observability platforms with deep metrics, traces, and logs across many workload types. Komodor is narrower and more opinionated: it focuses on Kubernetes operations, change correlation, and automated remediation rather than general APM. Many teams run Komodor alongside Datadog or New Relic, using the observability tool for telemetry collection and Komodor for the troubleshooting and remediation layer on top.
Komodor offers a free tier suitable for small clusters and evaluation, providing core cluster visibility, change tracking, and basic troubleshooting. Advanced AI investigation, automated remediation, multi-cluster management at scale, RBAC, audit logging, and reliability features such as rightsizing and drift detection are part of the paid Standard and Enterprise plans. Pricing is generally based on the number of nodes and clusters.
Komodor installs an agent inside your cluster that communicates with the SaaS backend. The agent is designed to send metadata, events, and selected logs rather than full workload data, and customers can configure what is collected. Komodor supports SSO, role-based access control, audit logs, and is SOC 2 compliant. For regulated environments, granular permission scoping limits what actions developers can take through the platform.
Now that you know how to use Komodor, it's time to put this knowledge into practice.
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Tutorial updated March 2026