Linux System Calls for Production Engineers: Debugging, Performance & Kernel Boundaries Explained

K. Morray, Ethan

ISBN 13: 9798249078713

Published by Independently published, 2026

About this Item

Unread book in perfect condition.

Seller Inventory # 53630043

Bibliographic Details

• Title: Linux System Calls for Production Engineers: Debugging, Performance & Kernel Boundaries Explained
• Publisher: Independently published
• Publication Date: 2026
• Language: English
• ISBN 13: 9798249078713
• Binding: Soft cover
• Condition: As New

About this title

Synopsis

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 trace

• A container crashes under memory pressure

• EPERM, EINVAL, or EMFILE errors appear without explanation

• Latency 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 enforcement

• Containers meet isolation policies

• Performance meets kernel cost

• Security 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 → Return

• Resource governance and scheduler interaction

• Isolation across containers and pods

• Failure 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.