Keeping your Linux systems running optimally is a mission-critical function for most Linux IT professionals. This course will teach you the appropriate tools, subsystems, and techniques you need to get the best possible performance out of Linux.
INSTRUCTOR-LED COURSE
Linux Performance Tuning (LFS426)
Who Is It For
This course is designed for IT professionals who are responsible for optimizing Linux performance.
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What You’ll Learn
In this course you will learn about industry configuration best practices, the best tried-and-true optimization performance tuning tools and techniques, how to manually optimize the kernel’s behavior, tracing, profiling and instrumentation techniques across a wide range of conditions, and more.
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What It Prepares You For
This Linux performance optimization course prepares you to use all the tools and techniques you need to keep your Linux systems running at optimal levels. These techniques and tools have been developed and tested in the most demanding high-performance computing environments.
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Introduction
- Linux Foundation Training
- Linux Foundation Certifications
- Linux Foundation Digital Badges
- Laboratory Exercises, Solutions and Resources
- Distribution Details
- Labs
Performance Optimization Principles
- Optimization Process
- Investigation Tools
- Labs
Benchmarking
- Synthetic Benchmarks
- Application Benchmarks
- Labs
Tuning Interfaces
- Kernel Tunables
- Kernel Parameters
- Application Interfaces
- tuned
- Hardware Tunables
- Labs
Monitoring Interfaces
- /proc Filesystem
- Command-line Utilities
- Graphical Utilities
- Nagios
- Ganglia
- Performance Data Collection
- Kernel Monitoring
- Labs
Profiling Techniques and Tools
- Counters
- Performance Ratios
- Kernel vs Application Profiling
- Perf
- Available perf events
- Acquiring Performance Data with perf
- Monitoring Performance from Within the Application
- User Space Performance Monitoring with gprof
- Labs
Tracing Tools
- strace
- Library Tracing
- Kernel Tracing
- ftrace
- SystemTap
- Tracing Applications with SystemTap
- Labs
CPU Subsystem
- CPU-Level Optimizations
- Specialized Instruction Sets
- CPU Topology
- BIOS Settings
- Labs
Power Management
- Device Power Management
- CPU Power Saving States
- Frequency Scaling
- Power Management Tools
- Labs
Process Scheduling
- Scheduling Policies
- Scheduling Tunable Settings
- CPU Affinity and Isolation
- Interrupt Affinity
- Control Groups
- Labs
Memory Subsystem
- Page Lookup Optimization and Huge Pages
- Controlling Swapping from Applications
- Minimizing Faults
- Labs
NUMA Optimizations
- NUMA Memory Allocation
- NUMA Statistics
- Labs
I/O Subsystem
- I/O Scheduler Concepts
- I/O Scheduler Algorithms
- Hardware Considerations
- Tuning Storage Devices
- Labs
Local Filesystems
- Ext3/4 Journaling Modes
- Filesystem Attributes
- Labs
Network Filesystems
- NFSv4
- pNFS
- Labs
Storage and IO
- RAID Levels
- RAID configuration
- Logical volumes
- Volumes and Volume Groups
- Creating Logical Volumes
- Raw Devices
- Asynchronous I/O
- Labs
Analyzing the I/O Subsystem
- iotop
- blktrace
- blkparse
- btrace
- btt
- blkiomon
- Labs
Network Subsystem Optimization
- Optimizing for Latency and Throughput
- Network Interface Hardware Settings
- Offloading Techniques
- TCP Optimization
- Monitoring and Diagnostic Tools
- Labs
Virtualization
- Disk Considerations
- Network Considerations
- Labs
Closing and Evaluation Survey
Prerequisites
Feb 2022
I would absolutely take another course that picked a few of the subsystems and delve deeper into them, especially with labs that focused on labs integrating metrics from multiple subsystems, and diagnosing workloads. I was able to tune one of my homelab hypervisors confidently thanks to the material in this course, and John's feedback, would definitely take future courses led by him.
Feb 2022
John is very knowledgeable, and kept each session positive and enjoyable. The labs were well structured, and served as both a tutorial with clear objectives, and as a sandbox for experimentation and deeper understanding. John provided plenty of time for me to experiment and ask questions until I felt I had gained the knowledge I was looking for, even if it was beyond the scope of the lab.
Nov 2021
Very comprehensive.
Nov 2021
The course material provides us with useful information that can help us to kickstart our work.
Jul 2021
The information provided on the topic is great.
$3250
Live Online (Virtual) or Live (Classroom)
4 days of Instructor-led class time
Hands-on Labs & Assignments
Resources & Course Manual
Certificate of Completion
Digital Badge
