Mission Control for
the Entire Kubernetes Ecosystem
Kubernetes-native resources and third-party add-ons (CRDs and operators) are essential for cluster operations – without extensibility, Kubernetes isn’t a platform. Komodor’s holistic approach to Kubernetes management enables you to finally treat all of them as first-class citizens.
Introducing: The First Real Full‑Stack Kubernetes Management Platform.
Truly own your Kubernetes platform end-to-end with Komodor’s ability to visualize, operate, detect, investigate, and optimize EVERYTHING that runs in your clusters, from workloads and native resources to popular Kubernetes add-ons (including operators and CRDs).
A Kubernetes platform without extensible add-ons and CRDs isn’t a platform.
They are what makes Kubernetes extensible, scalable, flexible, and efficient. But left unchecked, at scale, they can become an operational hurdle that outweighs their benefits. Komodor provides unparalleled visibility and insights into each category of add-ons and performs an intelligent correlative analysis that connects all the dots and ensures that your Kubernetes platform is thriving and optimized for peak performance and cost-effectiveness at all times.
Storage 
Gain visibility into pod-level storage metrics and historical event timelines. Detect and trace the root cause of volume capacity issues.
Package Managers
Detect version drift and package dependencies between Helm charts, ensuring consistency and helping avoid deployment failures. Preview changes before applying, and see their implications for K8s resources.
Workflow Automation AI/MLOps
Fully visualize every workflow to quickly gain context and identify failures using current and historical data. Drill down to understand and optimize AI/ML pipelines for cost efficiency.
Data Streaming
Track the health and performance of K8s pods belonging to data streaming services like Kafka. Address partition imbalances and prevent cascading failures across downstream consumers.
Networking
Quickly identify misconfigurations or conflicting rules that disrupt service-to-service communication.
Version Control & CI/CD
Eliminate discrepancies between the declarative Git state and the actual cluster state, ensuring out-of-band changes are detected early and environments remain consistent.
Service Mesh
Monitor for misconfigured retries or circuit-breaking policies, preventing overwhelming downstream services and potential cascading failures across the system.
API Gateway
Identify API throttling or rate-limiting misconfigurations before they impact critical API requests, ensuring service continuity and smooth user experiences.
Policy Engines
Validates policy configurations to catch overly permissive settings, preventing security risks or configuration drift that could lead to data breaches or compliance issues.
Infrastructure-as-Code
Track and alert teams to misconfigurations or drift in IaC definitions, preventing resource misallocations that could cause runtime failures or cost overruns.
Autoscalers
Ensure correct pod and node scaling configurations, preventing over- or under-provisioning that can degrade performance or lead to unexpected cost increases.
Core Services
Continuously check the health of core services to prevent downtime caused by DNS propagation delays or TLS certificate renewal failures.
