Mastering eBPF for Kernel-Level Tracing: Techniques and Real-World Patterns
Learn how to harness eBPF programs to safely instrument the kernel, collect metrics, and build low‑overhead tracing pipelines.
Kernel
Deep Dive into Linux io_uring: Asynchronous I/O Without System Call Overhead
Learn how io_uring redefines asynchronous I/O by removing per-operation syscalls, boosting throughput and reducing latency in modern Linux applications.
Deep Dive into CUDA Graphs for Efficient Kernel Launch Overhead Reduction
CUDA graphs reduce kernel launch overhead by batching operations. They can deliver up to 40% speedups in real-world inference pipelines.
Inside gVisor: Building Secure, Low‑Overhead Sandboxes for Containers
gVisor intercepts container syscalls through a user-space kernel called runsc, delivering strong isolation with surprisingly low overhead. This post examines its architecture, syscall interception strategy, and real-world production tradeoffs.
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.