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Komodor

Q: Who is Komodor for?

enterprise, platform engineering, SRE teams

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SRE / DevOps agentindependentVerified 2026-07-22

Autonomous AI SRE for Kubernetes whose Klaudia agent detects, investigates and remediates cluster issues and folds cloud cost into the reliability loop. Named a Representative Vendor in Gartner's 2026 AI SRE Tooling Market Guide.

Komodor is an autonomous AI SRE platform for Kubernetes and cloud native infrastructure. Its Klaudia agent, built on hundreds of specialized agents trained across thousands of production environments, automatically detects, investigates and remediates issues such as failed containers, cascading errors, faulty add ons, CRDs and workload breakdowns, and folds cost optimization through right sizing and bin packing into the same reliability loop. Komodor reports up to 95 percent accuracy in incident detection and resolution and counts enterprises including Dell, Cisco and Digibee among its users. It was named a Representative Vendor in Gartner's 2026 Market Guide for AI SRE Tooling.

Vendor details

Canonical URL

https://komodor.com

Company status

independent

Use cases & customers

Primary use cases

Kubernetes incident detection and remediationroot cause analysisautonomous cost optimizationcluster troubleshooting

Target customers

enterpriseplatform engineeringSRE teams

Deployment options

SaaS (in-cluster agent)

Integrations

Deep Kubernetes and cloud native coverage across multi cluster, cloud and hybrid estates.

Sources & related URLs

Research sources

https://komodor.com https://github.com/agamm/awesome-ai-sre

Capability coverage

9.5 / 14 capabilities · 68%

Integrations & Tool CallingDeep context aware coverage across Kubernetes and cloud native stacks, correlating services, configs and dependencies across multi cluster, cloud and hybrid estates, Komodor AI SRE page 2026-07-22	Full
Workflow OrchestrationAutonomous detect, investigate and remediate loop driven by the Klaudia agent and built on hundreds of specialized AI agents; multi agent orchestration is the core of the platform, Komodor AI SRE page 2026-07-22	Full
Knowledge Grounding & RAGAgents trained across thousands of real world production environments and the Klaudia agent accepts uploaded context to ground investigations in the customer's own product and environment, Komodor AI SRE page 2026-07-22	Full
Human Oversight & GuardrailsGraduated trust model offers one click fixes alongside autonomous self healing, so oversight is configurable but the platform leans toward autonomous execution rather than read only investigation, Komodor AI SRE page 2026-07-22	Partial
Security, Identity & GovernanceEnterprise level security posture with security badges displayed; the agent transfers no PII or sensitive data and customers control which data is uploaded, though specific certifications are not enumerated on the product page, Komodor AI SRE page 2026-07-22	Full
Observability & AuditabilityContextual single pane of glass across clusters with change history, dependencies and log and event review feeding root cause; a core strength of the platform, Komodor AI SRE page 2026-07-22	Full
Memory & State PersistenceDocuments continuous learning from past incidents and environments, but no distinct persistent memory architecture is named, Komodor AI SRE page 2026-07-22	Partial
Deployment & Data ResidencySaaS delivery with an in cluster agent and customer control over which data is uploaded; self hosted or data residency options are not documented on the product page, Komodor AI SRE page 2026-07-22	Partial
Prebuilt Agents, Templates & PacksBuilt on hundreds of specialized AI agents covering common Kubernetes failure modes such as failed containers, cascading errors, faulty add ons, CRDs and workload breakdowns, Komodor AI SRE page 2026-07-22	Full
Triggers & Channel CoverageAutomatically detects anomalies in real time using AI agents and starts autonomous investigation without manual monitoring or thresholds, Komodor AI SRE page 2026-07-22	Full
Model Flexibility & RoutingProprietary Klaudia pipeline; no customer facing model choice or bring your own model routing is documented, Komodor AI SRE page 2026-07-22	Unable to verify
APIs, SDKs & MCP ExtensibilityPublic API and open source tooling are published under the komodorio org; a first class MCP server or SDK extensibility surface is not documented on the product page, Komodor AI SRE page 2026-07-22	Partial
Testing, Debugging & OptimizationTroubleshooting, debugging and autonomous cost optimization through right sizing and bin packing are core capabilities; a distinct agent evaluation or testing harness is not documented, Komodor AI SRE page 2026-07-22	Partial
Browser & Computer UseOperates through Kubernetes and cloud APIs and agents rather than browser or computer interface control, Komodor AI SRE page 2026-07-22	Unable to verify

Pricing

Free trial available; paid pricing via sales

Contact onlyHigh variable costTrial available

What is public

A free trial is offered; paid and enterprise pricing require contacting sales.

Variable cost rationale

Kubernetes platform pricing typically scales with cluster and node footprint; no public rate is published, so total cost is workload dependent.

Sales call required

Yes — required for paid access

Free / trial

Free trial / free signup

Key ambiguities

No public list price; entry cost and billing axis are not published.

Verified 2026-07-22

Data confidence: high