{"repo":"gma1k/podtrace","free":true,"listed":false,"github":"https://github.com/gma1k/podtrace","clone":"git clone https://github.com/gma1k/podtrace.git","description":"eBPF-driven diagnostic tool for Kubernetes applications 🐝","language":"Go","stars":199,"topics":["debugging","diagnostics","ebpf","kubernetes","networking","observability","performance","tracing","golang","containers"],"license":"Apache-2.0","category":"deployment-docker-iac","readme_excerpt":"A lightweight yet powerful eBPF-driven diagnostic tool for Kubernetes applications. Podtrace delivers full-stack observability from kernel events to application-layer behavior, all activated on demand, with no prior configuration or instrumentation. With a single command, it uncovers insights across the entire lifecycle of a pod, including network flows, TCP/UDP performance, file system activity, memory behavior, latency patterns, system calls, and high-level application events such as HTTP, DNS, and database queries. Overview Podtrace attaches eBPF programs directly to the container, allowing it to observe real behavior as it happens at runtime. It automatically correlates low-level kernel activity with high-level application operations, surfacing clear, human-readable diagnostic events that reveal what the pod is experiencing internally. Instead of assembling data from multiple systems or modifying application code, Podtrace provides deep operational visibility in one place, enabling you to understand: - Why a service is slow - Where latency originates - How network and I/O resources are being used - Which operations block or fail - How requests flow through the application - What happens inside the pod during incidents By combining system-level details, application-layer insights, and real-time event correlation, Podtrace acts as a single on-demand observability lens. This makes it uniquely effective for debugging, performance analysis, and production incident response in ","default_branch":null,"files":null,"tree":[],"storefront":"/r/gma1k","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/gma1k/podtrace/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}