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Observe Kubernetes traffic, inspect protocols, and troubleshoot security and performance issues.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kubeshark" yet — see the docs or source repo.
Using Kubeshark, analyze L7 traffic between payment-service and order-service over the last 30 minutes. Identify endpoints with the most 5xx responses, timeouts, and retries, then summarize anomalies by namespace, pod, and request path.
A list of problematic endpoints, error distribution, affected pods, and likely root-cause clues.
Use Kubeshark to inspect network calls for services involved in the checkout flow during the last hour. Rank the slowest upstream dependencies by P95 latency and note whether issues concentrate on a specific node, namespace, or protocol layer.
Outputs a latency ranking, critical dependency paths, and suspected performance bottlenecks.
Through Kubeshark, review outbound connections from the production namespace in the last 24 hours. Identify unknown destinations, unusual ports, and anomalous TLS sessions, group them by workload, and flag high-risk communications.
Generates a suspicious outbound traffic report with destinations, protocol traits, involved workloads, and risk notes.
Inspect Kubernetes clusters via MCP by listing pods, namespaces, nodes, and events.
Capture and inspect network traffic for reconnaissance, device identification, and security audits.
Monitor Kafka health, consumer lag, and diagnostics through natural language queries.
Operate Kubernetes, monitor SLOs, and run Prometheus queries in natural language.
Analyze network traffic with natural language for packet stats and anomaly detection.
Analyze PCAP captures with AI for network forensics and protocol troubleshooting.