Paperback. 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 optimizationYou 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 layerInstead 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 subsystemsEach chapter ends with: - Production-grade troubleshooting frameworks- Real incident case studies- Diagnostic playbooksThis 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Linux System Calls for Production Engineers (Paperback)
Publisher: Independently Published
Publication Date: 2026
Language: English
ISBN 13: 9798249078713
Binding: Paperback
Condition: 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.

"About this title" may belong to another edition of this title.

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