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Inspektor Gadget vs Kubeshark

Inspektor Gadget

inspektor-gadget.io

Kubeshark

kubeshark.com

Side by side

FigureInspektor GadgetKubeshark
Price fromFree$0.40/mo
Free planYesYes
Free trial——
Open source—Yes
Web—Yes
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published16
Spec score · eBPF Observability Tools7.9 (#13)9.0 (#2)
DeploymentOn Kubernetes, Inspektor Gadget is deployed as a DaemonSet, with one pod per cluster node.Kubeshark can be deployed with Helm in Kubernetes and supports self-hosted air-gapped operation on the Enterprise tier.

Plans

Inspektor Gadget

  • Inspektor GadgetFree

Inspektor Gadget pricing →

Kubeshark

  • CommunityFree
  • Enterprise$0.40 a month
  • Micro$30 a month
  • Pro$30 a month
  • Dynamic$190 a month
  • Small$360 a month

Kubeshark pricing →

In their own words

Inspektor Gadget

Inspektor Gadget is an open-source toolkit and framework for collecting eBPF data and inspecting Kubernetes clusters and Linux hosts. Its gadgets package eBPF programs as OCI images that can be deployed to examine systems. The toolkit enriches low-level kernel data with context such as Kubernetes pod and container names, and can export collected information to observability tools. WebAssembly modules can process data and customize operators; developers can also use the framework through a Go library. In Kubernetes, it runs as a DaemonSet, with one pod on each cluster node. Project gadgets require Linux kernel 5.10 or later with BTF enabled. Supported Kubernetes environments include Minikube, AKS, EKS, GKS, OpenShift, and Talos; AWS Fargate, Azure Container Instances, and GKE Autopilot are listed as unsupported. Official image-based gadgets are signed, and operators can restrict which gadgets may run by digest, tag, or image prefix. Inspektor Gadget has no long-term support releases: only the latest release receives maintenance and security updates.

Visit inspektor-gadget.io

Kubeshark

Kubeshark indexes Kubernetes cluster network traffic at the kernel level using eBPF and makes it searchable with Kubernetes, API, and network context. It can decrypt TLS and service-mesh mTLS traffic without keys, certificates, sidecars, or application changes. Users can capture retrospective traffic snapshots, filter them by time, nodes, workloads, and IPs, then export PCAP files. Its KFL query language combines Kubernetes identity, API context, and network attributes. Kubeshark also provides an identity-aware service map and performance indicators for pods, services, nodes, and namespaces. It supports more than 23 protocols, including HTTP, Kafka, Redis, PostgreSQL, gRPC, and DNS. Cluster network data can be exposed through MCP to AI assistants such as Claude Code, Cursor, and GitHub Copilot. Deployment uses Helm in Kubernetes, and self-hosted air-gapped operation is listed for Enterprise. The free Community plan supports up to 3 nodes or 60 pods and requires internet connectivity. Paid plans start at $30/mo.

Visit kubeshark.com