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Linux Performance Tuning (LFS426) Training

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Course Overview

The Linux Performance Tuning (LFS426) Training is an advanced, hands-on programme designed for system administrators, DevOps engineers, Linux engineers, and IT professionals who want to master the skills needed to optimize Linux systems for performance, reliability, and scalability.

This course provides in-depth knowledge of Linux system internals, performance monitoring, and resource optimization. Participants will learn how to analyze and troubleshoot CPU, memory, storage, and network performance issues while applying tuning strategies to improve system efficiency and stability in enterprise environments.

The training emphasizes real-world scenarios, including server bottlenecks, application latency, and resource contention, enabling participants to implement proactive monitoring and fine-tuning strategies. Hands-on exercises provide experience with Linux performance analysis tools, workload profiling, and kernel tuning parameters, ensuring participants can optimize systems for high-demand applications and critical enterprise workloads.

By the end of the course, learners will be equipped to identify performance bottlenecks, implement tuning solutions, and maintain high-performing Linux environments aligned with business and operational requirements.

Course Objectives & Learning Outcomes:

  • Understand Linux architecture and system internals relevant to performance
  • Monitor CPU, memory, I/O, and network utilization using Linux tools
  • Identify and troubleshoot system bottlenecks and resource contention
  • Tune kernel parameters, filesystem performance, and process scheduling
  • Optimize network performance and storage subsystems
  • Implement workload profiling and application-level performance tuning
  • Apply best practices for monitoring, alerting, and proactive maintenance
  • Ensure Linux systems are scalable, stable, and high-performing under enterprise workloads

Requirements:

This course is primarily intended for system administrators and technology architects who need to select and tune their environment to maximize speed and efficiency. Students should be experienced Linux users. Familiarity with local system administration concepts covered in LFS301 Linux System Administration is required.

Target Audiance

  • Participants should have intermediate to advanced Linux administration experience, including command-line proficiency, process management, networking basics, and storage administration. Knowledge of application deployment and monitoring will also help in understanding performance tuning concepts.

Schedule Dates

20 April 2026 - 23 April 2026
Linux Performance Tuning (LFS426)
20 July 2026 - 23 July 2026
Linux Performance Tuning (LFS426)
26 October 2026 - 29 October 2026
Linux Performance Tuning (LFS426)
01 February 2027 - 04 February 2027
Linux Performance Tuning (LFS426)

Course Content

  • Linux Foundation
  • Linux Foundation Training
  • Linux Foundation Certifications
  • Linux Foundation Digital Badges
  • Linux Foundation Digital Badges
  • Laboratory Exercises, Solutions and Resources
  • Distribution Details
  • Labs

  • Methodology
  • Optimization Process
  • Investigation Tools
  • Labs

  • Performance Benchmarks
  • Synthetic Benchmarks
  • Application Benchmarks
  • Labs

  • Tuning Concepts
  • Kernel Tunables
  • Kernel Parameters
  • Application Interfaces
  • tuned
  • Hardware Tunables
  • Labs

  • /proc Filesystem
  • Command-line Utilities
  • Performance Data Collection
  • Nagios
  • Ganglia
  • Kernel Monitoring
  • Labs

  • Performance Monitoring
  • Counters
  • Performance Ratios
  • Kernel vs Application Profiling
  • Profile
  • Perf
  • Available perf events
  • Acquiring Performance Data with perf
  • Monitoring Performance from Within the Application
  • User Space Performance Monitoring with gprof
  • Labs

  • User Space Tracing
  • strace
  • Library Tracing
  • Kernel Tracing
  • ftrace
  • SystemTap
  • Tracing Applications with SystemTap
  • Labs

  • CPU Concepts and Architecture
  • CPU-Level Optimizations
  • Specialized Instruction Sets
  • CPU Topology
  • BIOS Settings
  • Labs

  • Power Management Strategies
  • Device Power Management
  • CPU Power Saving States
  • Frequency Scaling
  • Power Management Tools
  • Labs

  • Design
  • Scheduling Policies
  • Scheduling Tunable Settings
  • CPU Affinity and Isolation
  • Interrupt Affinity
  • Control Groups
  • Labs

  • Overview
  • Page Lookup Optimization and Huge Pages
  • Controlling Swapping from Applications
  • Minimizing Faults
  • Labs

  • CPU Concepts and Architecture
  • NUMA Memory Allocation
  • NUMA Statistics
  • Labs

  • Storage Stack Overview
  • I/O Scheduler Concepts
  • I/O Scheduler Algorithms
  • Hardware Considerations
  • Tuning Storage Devices
  • Labs

  • Major Filesystem Choices
  • Ext3/4 Journaling Modes
  • Filesystem Attributes
  • Labs

  • Network File System (NFS)
  • NFSv4
  • pNFS
  • Labs

  • Software RAID Refresher
  • RAID Levels
  • RAID configuration
  • Logical volumes
  • Volumes and Volume Groups
  • Creating Logical Volumes
  • Raw Devices
  • Asynchronous I/O
  • Labs

  • iostat
  • iotop
  • blktrace
  • blkparse
  • btrace
  • btt
  • blkiomon
  • Labs

  • Network Stack Overview
  • Optimizing for Latency and Throughput
  • Network Interface Hardware Settings
  • Offloading Techniques
  • TCP Optimization
  • Monitoring and Diagnostic Tools
  • Labs

  • Virtualization Overview
  • Disk Considerations
  • Network Considerations
  • Labs

FAQs

This course is ideal for system administrators, Linux engineers, DevOps professionals, cloud engineers, and IT operations specialists. It is designed for professionals responsible for ensuring Linux systems perform efficiently under high-load conditions and supporting critical enterprise applications.

Yes. This is a lab-intensive course where participants gain practical experience in monitoring system metrics, identifying performance bottlenecks, tuning kernel parameters, optimizing storage and network settings, and analyzing application performance, providing real-world skill development.

Participants will learn to diagnose CPU, memory, I/O, and network bottlenecks, analyze process and system-level metrics, and implement tuning strategies. The course provides practical approaches to detect, isolate, and resolve performance issues, ensuring systems run at peak efficiency.

Yes. The course focuses on disk I/O tuning, filesystem optimization, RAID configurations, network throughput improvement, latency reduction, and tuning network buffer

Yes. Participants will use tools such as top, vmstat, iostat, sar, perf, tcpdump, and other monitoring utilities to analyze system metrics and profile workloads. This enables data-driven tuning decisions and proactive system performance management.

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