Files
kubeshark/README.md
Alon Girmonsky a01f7bed74 Update README with new structure and AI focus (#1844)
* Update README with new structure and AI focus

* Update AI section: AI-Powered Root Cause Analysis with agents

* updated links

* added an image to the API context

* some fixes to the readme

* Remove TODO comments - using real images
2026-02-10 10:40:48 -08:00

5.3 KiB

Kubeshark

Release Docker pulls Discord Slack

Network Intelligence for Kubernetes

Live Demo · Docs


  • Cluster-wide, real-time visibility into every packet, API call, and service interaction.
  • Replay any moment in time.
  • Resolve incidents at the speed of LLMs. 100% on-premises.

Kubeshark


Get Started

helm repo add kubeshark https://helm.kubeshark.com
helm install kubeshark kubeshark/kubeshark

Dashboard opens automatically. You're capturing traffic.

With AI — connect your assistant and debug with natural language:

brew install kubeshark
claude mcp add kubeshark -- kubeshark mcp

"Why did checkout fail at 2:15 PM?" "Which services have error rates above 1%?"

MCP setup guide →


Why Kubeshark

  • Instant root cause — trace requests across services, see exact errors
  • Zero instrumentation — no code changes, no SDKs, just deploy
  • Full payload capture — request/response bodies, headers, timing
  • TLS decryption — see encrypted traffic without managing keys
  • AI-ready — query traffic with natural language via MCP

Traffic Analysis and API Dissection

Capture and inspect every API call across your cluster—HTTP, gRPC, Redis, Kafka, DNS, and more. Request/response matching with full payloads, parsed according to protocol specifications. Headers, timing, and complete context. Zero instrumentation required.

API context

Learn more →

L4/L7 Workload Map

Visualize how your services communicate. See dependencies, traffic flow, and identify anomalies at a glance.

Service Map

Learn more →

AI-Powered Root Cause Analysis

Resolve production issues in minutes instead of hours. Connect your AI assistant and investigate incidents using natural language. Build network-aware AI agents for forensics, monitoring, compliance, and security.

"Why did checkout fail at 2:15 PM?" "Which services have error rates above 1%?" "Trace request abc123 through all services"

Works with Claude Code, Cursor, and any MCP-compatible AI.

MCP setup guide →

Traffic Retention

Retain every packet. Take snapshots. Export PCAP files. Replay any moment in time.

Traffic Retention

Snapshots guide →


Features

Feature Description
Raw Capture Continuous cluster-wide packet capture with minimal overhead
Traffic Snapshots Point-in-time snapshots, export as PCAP for Wireshark
L7 API Dissection Request/response matching with full payloads and protocol parsing
Protocol Support HTTP, gRPC, GraphQL, Redis, Kafka, DNS, and more
TLS Decryption eBPF-based decryption without key management
AI-Powered Analysis Query traffic with Claude, Cursor, or any MCP-compatible AI
Display Filters Wireshark-inspired display filters for precise traffic analysis
100% On-Premises Air-gapped support, no external dependencies

Install

Method Command
Helm helm repo add kubeshark https://helm.kubeshark.com && helm install kubeshark kubeshark/kubeshark
Homebrew brew install kubeshark && kubeshark tap
Binary Download

Installation guide →


Contributing

We welcome contributions. See CONTRIBUTING.md.

License

Apache-2.0