SKU/Artículo: AMZ-B0GPCZPR97
Linux System Calls for Production Engineers: Debugging, Performance & Kernel Boundaries Explained
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
1.28 kg
1.28 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- When production breaks, Linux system calls decide the outcome.Most engineers use Linux every day. Very few understand what truly happens at the user–kernel boundary — and even fewer can debug failures when that boundary collapses under load.You’ve probably experienced it:A backend service hangs without a clear stack traceA container crashes under memory pressureEPERM, EINVAL, or EMFILE errors appear without explanationLatency spikes persist even after code-level optimization You don’t need another generic Linux overview. You need deep syscall literacy rooted in real production systems.Linux System Calls for Production Engineers is a production-first guide to understanding and mastering Linux system calls, bridging the gap between backend development and serious Linux kernel programming insight.This book teaches you how to think at the boundary where:Syscalls meet scheduler enforcementContainers meet isolation policiesPerformance meets kernel costSecurity meets capability control Inside This Book, You’ll Learn How To:• Perform real-world production debugging in Linux using practical, incident-driven methods • Use strace, perf, and eBPF for deep syscall tracing and performance analysis • Engineer scalable services with optimized epoll performance • Understand Linux container internals, namespaces, and isolation boundaries • Master cgroups v2 and resource governance under load • Diagnose memory crashes through accurate Linux memory management reasoning • Harden services with seccomp security and capability enforcement • Apply systematic Linux performance tuning at the syscall layer Instead of listing APIs, this book builds a layered mental model:Entry → Validation → Execution → ReturnResource governance and scheduler interactionIsolation across containers and podsFailure propagation across kernel subsystems Each chapter ends with:• Production-grade troubleshooting frameworks • Real incident case studies • Diagnostic playbooks This is not a beginner tutorial. It is a field manual for engineers who operate Linux at scale.If you build, deploy, or troubleshoot backend systems in production, this book will permanently upgrade how you reason about Linux.Master the boundary. Become the engineer others escalate to.
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AR$66.314
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AR$45.738
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