Komodor Pricing & Plans 2026

Name: Komodor
Brand: Komodor
Availability: InStock
Rating: 4.6 (1 reviews)

Complete pricing guide for Komodor. Compare all plans, analyze costs, and find the perfect tier for your needs.

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🆓Free Tier Available

💎3 Paid Plans

⚡No Setup Fees

Choose Your Plan

Free

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Standard

Per-node, contact sales

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Enterprise

Custom

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Pricing sourced from Komodor · Last verified March 2026

Feature Comparison

Detailed feature comparison coming soon. Visit Komodor's website for complete plan details.

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Is Komodor Worth It?

✅ Why Choose Komodor

• Agentic AI investigates incidents end-to-end — gathering logs, events, and recent changes — and produces a prioritized root cause with suggested fixes, cutting MTTR for common Kubernetes failures
• Strong change-intelligence timeline that correlates pod, deployment, and node issues with the specific git commit, Helm release, or infra change that triggered them
• Unified multi-cluster dashboard across EKS, GKE, AKS, OpenShift, and self-hosted Kubernetes, making it practical to operate fleets without juggling separate kubectl contexts
• Built-in remediation playbooks and one-click actions (restart, rollback, scale, edit manifest) with RBAC and audit logging, which lets platform teams grant scoped production access to developers safely
• Integrates with the existing stack — Prometheus, Datadog, Slack, PagerDuty, Argo CD, GitHub — rather than forcing teams to rip and replace observability tooling
• Includes reliability and cost features (drift detection, rightsizing, node health, certificate tracking) so it doubles as a posture and FinOps surface, not just a troubleshooting tool

⚠️ Consider This

• Kubernetes-only focus means teams running significant VM, serverless, or bare-metal workloads still need a separate operations platform alongside Komodor
• Requires installing an in-cluster agent and granting broad read (and optionally write) permissions, which can be a friction point for security-conscious orgs and air-gapped environments
• Pricing scales with nodes and clusters; large fleets or noisy multi-tenant environments can become expensive compared to building on open-source Prometheus and Grafana
• Overlaps functionally with incumbent APM and observability vendors like Datadog and New Relic, so value depends on whether teams are willing to add another tool to the stack
• AI-suggested remediations still require human judgment in production — over-trusting one-click fixes on stateful workloads or custom operators can mask deeper architectural issues

What Users Say About Komodor

👍 What Users Love

✓Agentic AI investigates incidents end-to-end — gathering logs, events, and recent changes — and produces a prioritized root cause with suggested fixes, cutting MTTR for common Kubernetes failures
✓Strong change-intelligence timeline that correlates pod, deployment, and node issues with the specific git commit, Helm release, or infra change that triggered them
✓Unified multi-cluster dashboard across EKS, GKE, AKS, OpenShift, and self-hosted Kubernetes, making it practical to operate fleets without juggling separate kubectl contexts
✓Built-in remediation playbooks and one-click actions (restart, rollback, scale, edit manifest) with RBAC and audit logging, which lets platform teams grant scoped production access to developers safely
✓Integrates with the existing stack — Prometheus, Datadog, Slack, PagerDuty, Argo CD, GitHub — rather than forcing teams to rip and replace observability tooling
✓Includes reliability and cost features (drift detection, rightsizing, node health, certificate tracking) so it doubles as a posture and FinOps surface, not just a troubleshooting tool

👎 Common Concerns

⚠Kubernetes-only focus means teams running significant VM, serverless, or bare-metal workloads still need a separate operations platform alongside Komodor
⚠Requires installing an in-cluster agent and granting broad read (and optionally write) permissions, which can be a friction point for security-conscious orgs and air-gapped environments
⚠Pricing scales with nodes and clusters; large fleets or noisy multi-tenant environments can become expensive compared to building on open-source Prometheus and Grafana
⚠Overlaps functionally with incumbent APM and observability vendors like Datadog and New Relic, so value depends on whether teams are willing to add another tool to the stack
⚠AI-suggested remediations still require human judgment in production — over-trusting one-click fixes on stateful workloads or custom operators can mask deeper architectural issues

Pricing FAQ

What does Komodor's AI actually do during an incident?

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.

Which Kubernetes distributions and clouds does Komodor support?

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.

How does Komodor compare to Datadog or New Relic for Kubernetes?

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.

Is there a free tier, and what does it include?

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.

How does Komodor handle security and sensitive workload data?

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.

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