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Linux Performance: A Practical Guide to Linux Performance Engineering
Paperback
Series: Modern Cloud & AI Engineering, Book 6
General ComputersComputer SecuritySystem Administration
Publisher: Independently Published
Published: Apr 30 2026
Pages: 140
Weight: 0.43
Height: 0.30 Width: 6.00 Depth: 9.00
Language: English
Optimize Linux performance for high-scale, production-grade systems.
Linux Performance: A Practical Guide to Linux Performance by Eslam Wahba is a hands-on guide for engineers who need to analyze, tune, and optimize Linux systems running in cloud and large-scale production environments.
Performance engineering is essential for maintaining scalability, reliability, and efficiency in modern infrastructure. This book focuses on real-world techniques used by DevOps engineers, SREs, and cloud architects to identify and eliminate performance bottlenecks.
You'll learn how Linux handles core system resources and how to measure, analyze, and optimize performance at every layer.
This book covers:
- CPU scheduling, load balancing, and performance tuning
- Memory management, caching, and optimization strategies
- Disk I/O performance and storage tuning
- Network throughput, latency, and optimization techniques
- Kernel parameter tuning for production workloads
- System-level bottleneck detection and analysis
You'll also learn how to:
- Identify and resolve real-world performance issues
- Use monitoring and profiling tools effectively
- Diagnose performance degradation under load
- Optimize systems for scalability and high availability
Through real production case studies, this book demonstrates how performance tuning directly improves system reliability, efficiency, and scalability in modern cloud infrastructure.
Part of the Modern Cloud & AI Engineering Series, this guide equips DevOps engineers, SREs, and system administrators with the skills needed to build high-performance Linux systems.
Ideal for: DevOps Engineers, SREs, Cloud Architects, System Administrators, and IT professionals focused on performance optimization and scalability.
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