Kubeshark is a network observability platform designed for Kubernetes environments, functioning as an eBPF-powered engine for cluster-wide traffic analysis. It captures, indexes, and visualizes network activity and API calls directly from the kernel, providing deep visibility into service-to-service communication without requiring sidecar proxies or manual code instrumentation.
The platform distinguishes itself through its ability to perform protocol-aware traffic dissection and user-space cryptographic hooking, which allows for the inspection of encrypted traffic and the reconstruction of application-layer protocols like HTTP, gRPC, and Kafka. It supports advanced diagnostic capabilities, including AI-driven troubleshooting, forensic analysis of network snapshots, and the correlation of infrastructure events with application-level traffic patterns.
Beyond core monitoring, the system provides a comprehensive suite of tools for managing traffic data, including granular role-based access control, sensitive data redaction, and flexible storage options ranging from ephemeral local buffers to cloud-based object storage. It is built to operate in diverse environments, supporting air-gapped deployments and integrating with standard Kubernetes ingress resources for secure dashboard access.
The project is managed via a command-line interface that facilitates deployment control, custom script execution, and the sharing of specific traffic analysis views through encoded search queries.
