Autonomous AI SRE platform for cloud-native infrastructure. Klaudia AI Agents perform autonomous investigation of Kubernetes issues by correlating deployment changes, config drift, alerts, and telemetry to identify root cause. Automated remediation playbooks execute operational actions — restart, scale, cordon, drain — with governance guardrails. Continuous drift detection and dynamic pod rightsizing bridge observability data to operational action.
Komodor is a Kubernetes troubleshooting platform built around the Klaudia AI agent. Klaudia ingests Kubernetes deployment events, Git commits, configuration changes, and observability signals, stitches them into a chronological timeline, and correlates failures with the specific change that triggered them.
When a service degrades, Klaudia traverses the event timeline to identify root cause and either executes a remediation playbook (restart, rollback, scale, cordon) under governance guardrails or surfaces the correlation to an engineer with supporting evidence. Automated actions require explicit enablement per cluster and action type.
Integrations: Datadog, Prometheus, PagerDuty, Jira, Slack, GitHub, and GitLab. Free tier: single cluster, monitoring only. Teams and Enterprise unlock AI investigation and automated remediation; pricing via sales.
Key Features
Klaudia AI root-cause correlation: stitches Kubernetes events, Git commits, config changes, and observability signals into a timeline and identifies the specific change that caused a service degradation
Automated remediation playbooks: executes restart, rollback, scale, cordon, and drain operations under configurable governance guardrails — explicit enablement required per action type and cluster
Continuous drift detection: compares live cluster state against the desired state on a configurable interval and surfaces configuration divergence
Dynamic pod rightsizing: analyzes CPU and memory utilization patterns and recommends resource request and limit adjustments; can apply automatically or export YAML for GitOps
Service dependency graph: maps relationships between Kubernetes workloads, namespaces, and external dependencies to scope blast radius during incident investigation
Observability integrations: Datadog, Prometheus, Grafana, PagerDuty, Jira, Slack, GitHub, and GitLab for cross-system event correlation in the Klaudia timeline
