Linux Performance Tuning (LFS426)
Linux Performance Tuning (LFS426)
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 Audience
- 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.
Course Content
19 modules · 119 topics01Introduction8 topics
- Linux Foundation
- Linux Foundation Training
- Linux Foundation Certifications
- Linux Foundation Digital Badges
- Linux Foundation Digital Badges
- Laboratory Exercises, Solutions and Resources
- Distribution Details
- Labs
02Performance Optimization Principles4 topics
- Methodology
- Optimization Process
- Investigation Tools
- Labs
03Benchmarking4 topics
- Performance Benchmarks
- Synthetic Benchmarks
- Application Benchmarks
- Labs
04Tuning Interfaces7 topics
- Tuning Concepts
- Kernel Tunables
- Kernel Parameters
- Application Interfaces
- tuned
- Hardware Tunables
- Labs
05Monitoring Interfaces7 topics
- /proc Filesystem
- Command-line Utilities
- Performance Data Collection
- Nagios
- Ganglia
- Kernel Monitoring
- Labs
06Profiling Techniques and Tools11 topics
- 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
07Tracing Tools8 topics
- User Space Tracing
- strace
- Library Tracing
- Kernel Tracing
- ftrace
- SystemTap
- Tracing Applications with SystemTap
- Labs
08CPU Subsystem6 topics
- CPU Concepts and Architecture
- CPU-Level Optimizations
- Specialized Instruction Sets
- CPU Topology
- BIOS Settings
- Labs
09Power Management6 topics
- Power Management Strategies
- Device Power Management
- CPU Power Saving States
- Frequency Scaling
- Power Management Tools
- Labs
10Process Scheduling7 topics
- Design
- Scheduling Policies
- Scheduling Tunable Settings
- CPU Affinity and Isolation
- Interrupt Affinity
- Control Groups
- Labs
11Memory Subsystem5 topics
- Overview
- Page Lookup Optimization and Huge Pages
- Controlling Swapping from Applications
- Minimizing Faults
- Labs
12NUMA Optimizations4 topics
- CPU Concepts and Architecture
- NUMA Memory Allocation
- NUMA Statistics
- Labs
13I/O Subsystem6 topics
- Storage Stack Overview
- I/O Scheduler Concepts
- I/O Scheduler Algorithms
- Hardware Considerations
- Tuning Storage Devices
- Labs
14Local Filesystems4 topics
- Major Filesystem Choices
- Ext3/4 Journaling Modes
- Filesystem Attributes
- Labs
15Network Filesystems4 topics
- Network File System (NFS)
- NFSv4
- pNFS
- Labs
16Storage and IO9 topics
- Software RAID Refresher
- RAID Levels
- RAID configuration
- Logical volumes
- Volumes and Volume Groups
- Creating Logical Volumes
- Raw Devices
- Asynchronous I/O
- Labs
17Analyzing the I/O Subsystem8 topics
- iostat
- iotop
- blktrace
- blkparse
- btrace
- btt
- blkiomon
- Labs
18Network Subsystem Optimization7 topics
- Network Stack Overview
- Optimizing for Latency and Throughput
- Network Interface Hardware Settings
- Offloading Techniques
- TCP Optimization
- Monitoring and Diagnostic Tools
- Labs
19Virtualization4 topics
- Virtualization Overview
- Disk Considerations
- Network Considerations
- Labs
Schedule Dates
4 upcoming batches| Batch Dates | Duration | Batch Options | Language | Action |
|---|---|---|---|---|
| 26 October 2026 - 29 October 2026 | 4 Days | 4 hours & 8 hours | English / Arabic | |
| 01 February 2027 - 04 February 2027 | 4 Days | 4 hours & 8 hours | English / Arabic | |
| 03 May 2027 - 06 May 2027 | 4 Days | 4 hours & 8 hours | English / Arabic | |
| 09 August 2027 - 12 August 2027 | 4 Days | 4 hours & 8 hours | English / Arabic |
Can’t find a suitable date? Request a schedule that fits your team.
Request More InformationFAQs
Who should enrol in the Linux Performance Tuning (LFS426) course?
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.
Does the course include hands-on labs and practical exercises?
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.
How will this course help in troubleshooting performance issues?
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.
Does the course cover storage and network performance optimization?
Yes. The course focuses on disk I/O tuning, filesystem optimization, RAID configurations, network throughput improvement, latency reduction, and tuning network buffer
Will I gain skills in performance monitoring and workload profiling?
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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