{"repo":"honeybee-studio/honeybeepf-llm","free":true,"listed":false,"github":"https://github.com/honeybee-studio/honeybeepf-llm","clone":"git clone https://github.com/honeybee-studio/honeybeepf-llm.git","description":"Lightweight eBPF-based observability agent for AI/LLM workloads - monitors token usage, latency, and sensitive file access in Kubernetes without code changes.","language":"Rust","stars":10,"topics":["ai","ebpf","helm","kubernetes","llm","monitoring","observability","opentelemetry","rust","security"],"license":"Apache-2.0","category":"analytics","readme_excerpt":"eBPF Observability Platform Lightweight eBPF observability for AI workloads --- About 1. Project Overview A lightweight, eBPF-based observability platform designed to identify cost and performance bottlenecks in AI workloads by selectively collecting essential data such as LLM token usage and system metrics. Architecture 2. Background / Introduction Traditional observability tools often introduce significant operational overhead due to excessive resource consumption, required application code changes, and complex configuration processes. To address these limitations, our platform is built around a Rust-based eBPF agent that collects only essential data at the kernel level without any code modifications. The agent can be deployed via Helm Charts in Kubernetes environments or as a standalone binary in traditional AI data centers, enabling cost reduction and performance optimization across heterogeneous infrastructures. 3. Core Values - We practice selective observability—collecting only decision-driving data directly from the kernel. - Minimal overhead by design - Infrastructure-agnostic: works on Kubernetes and traditional AI data centers - Built for AI efficiency: enabling cheaper, faster, and more efficient AI workloads --- Getting Started 4. Prerequisites Item Minimum Requirement ------ ------------------- Kubernetes v1.23+ Helm v3.0+ Node CPU 200m (request) / 1000m (limit) Node Memory 512Mi (request) / 1Gi (limit) Kernel Linux 5.8+ (eBPF support required) Capabilities CAP ","default_branch":null,"files":null,"tree":[],"storefront":"/r/honeybee-studio","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/honeybee-studio/honeybeepf-llm/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."}