Tracing

Deep Dive into eBPF: Tracing Kernel Functions for Performance Analysis

A practical deep dive into eBPF kernel tracing, covering function hooking, map-based data collection, and real-world performance profiling patterns.

Diagram of a distributed LLM inference cluster with separate prefill and decode workers linked by a KV transfer bus.

NVIDIA Dynamo: A Practical Guide to the Open-Source Inference Serving Framework

Dynamo disaggregates prefill and decode, distributes KV cache across nodes, and routes traffic intelligently. Here’s what it is, how it works, and when to reach for it in production.

Short description of the cover image subject.

Implementing eBPF for Production Observability: A Deep Dive into High-Performance System Tracing and Monitoring

A practical guide to integrating eBPF into production observability stacks, with architecture diagrams, code snippets, and lessons from large‑scale deployments.

A Linux kernel symbol table overlaid with a glowing eBPF map.

Implementing eBPF for Tracing and Production Observability: Architecture, Performance, and Real-World Patterns

A deep dive into eBPF‑based tracing, showing how to design a production‑grade observability stack, measure its impact, and apply battle‑tested patterns.

A low‑level view of packet flow visualized with eBPF maps.

Implementing eBPF for Production Observability: A Deep Dive into High-Performance Tracing and Monitoring

A practical guide that walks engineers through eBPF fundamentals, production‑grade tracing patterns, and safe deployment strategies for observability pipelines.