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Linux Kernel Internals and Development

  • Intermediate
  • 13 and older
  • $3,250
  • Live, Instructor-led Online
  • 32 hours over 4 sessions

Start Dates (0)

  • $3,250
  • Live, Instructor-led Online
  • 32 hours over 4 sessions
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Class Description

Description

What you'll learn in this linux training:

This course is designed to provides experienced programmers with a solid understanding of the Linux kernel. In addition to a detailed look at the theory and philosophy behind the Linux kernel, you’ll also participate in extensive hands-on exercises and demonstrations designed to give you the necessary tools to develop and debug Linux kernel code.

In this course you’ll learn:
  • How Linux is architected
  • How kernel algorithms work 
  • Hardware and memory management
  • Modularization techniques and debugging
  • How the kernel developer community operates and how to efficiently work with it.
  • And much more.
The information in this course will work with any major Linux distribution

Audience: This course is for anyone interested in learning how to write and/or debug Linux kernel code. Students should be familiar with basic Linux utilities and text editors and be proficient in the C programming language.

Course Materials: As part of your registration, a printed copy of the course manual will be provided.

Prerequisites: Students should be proficient in the C programming language, basic Linux (UNIX) utilities such as ls, grep and ta, and be comfortable with any of the available text editors (e.g. emacs, vi, etc.) Experience with any major Linux distribution is helpful but not strictly required.

Course Outline:
  • Introduction
    • Objectives
    • Who You Are
    • The Linux Foundation
    • Linux Foundation Training
    • Course Registration
  • Preliminaries
    • Procedures
    • Things change in Linux
    • Linux Distributions
    • Kernel Versions
    • Kernel Sources and Use of git
    • Platforms
    • Documentation and Links
  • Kernel Architecture I
    • UNIX and Linux **
    • Monolithic and Micro Kernels
    • Object-Oriented Methods
    • Main Kernel Tasks
    • User-Space and Kernel-Space
    • Kernel Mode Linux **
  • Kernel Programming Preview
    • Error Numbers and Getting Kernel Output
    • Task Structure
    • Memory Allocation
    • Transferring Data between User and Kernel Spaces
    • Linked Lists
    • String to Number Conversions
    • Jiffies
    • Labs
  • Modules
    • What are Modules?
    • A Trivial Example
    • Compiling Modules
    • Modules vs Built-in
    • Module Utilities
    • Automatic Loading/Unloading of Modules
    • Module Usage Count
    • The module struct
    • Module Licensing
    • Exporting Symbols
    • Resolving Symbols **
    • Labs
  • Kernel Architecture II
    • Processes, Threads, and Tasks
    • Process Context
    • Kernel Preemption
    • Real Time Preemption Patch
    • Dynamic Kernel Patching
    • Run-time Alternatives **
    • Porting to a New Platform **
  • Kernel Initialization
    • Overview of System Initialization
    • System Boot
    • Das U-Boot for Embedded Systems**
  • Kernel Configuration and Compilation
    • Installation and Layout of the Kernel Source
    • Kernel Browsers
    • Kernel Configuration Files
    • Kernel Building and Makefiles
    • initrd and initramfs
    • Labs
  • System Calls
    • What are System Calls?
    • Available System Calls
    • How System Calls are Implemented
    • Adding a New System Call
    • Replacing System Calls from Modules
    • Labs
  • Kernel Style and General Considerations
    • Coding Style
    • kernel-doc **
    • Using Generic Kernel Routines and Methods
    • Making a Kernel Patch
    • sparse
    • Using likely() and unlikely()
    • Writing Portable Code, CPU, 32/64-bit, Endianness
    • Writing for SMP
    • Writing for High Memory Systems
    • Power Management
    • Keeping Security in Mind
    • Mixing User- and Kernel-Space Headers **
    • Labs
  • Race Conditions and Synchronization Methods
    • Concurrency and Synchronization Methods
    • Atomic Operations
    • Bit Operations
    • Spinlocks
    • Seqlocks
    • Disabling Preemption
    • Mutexes
    • Semaphores
    • Completion Functions
    • Read-Copy-Update (RCU)
    • Reference Counts
    • Labs
  • SMP and Threads
    • SMP Kernels and Modules
    • Processor Affinity
    • CPUSETS
    • SMP Algorithms - Scheduling, Locking, etc.
    • Per-CPU Variables **
    • Labs
  • Processes
    • What are Processes?
    • The task_struct
    • Creating User Processes and Threads
    • Creating Kernel Threads
    • Destroying Processes and Threads
    • Executing User-Space Processes From Within the Kernel
    • Labs
  • Process Limits and Capabilities **
    • Process Limits
    • Capabilities
    • Labs
  • Monitoring and Debugging
    • Debuginfo Packages
    • Tracing and Profiling
    • sysctl
    • SysRq Key
    • oops Messages
    • Kernel Debuggers
    • debugfs
    • Labs
  • Scheduling Basics
    • Main Scheduling Tasks
    • SMP
    • Scheduling Priorities
    • Scheduling System Calls
    • The 2.4 schedule() Function
    • O(1) Scheduler
    • Time Slices and Priorities
    • Load Balancing
    • Priority Inversion and Priority Inheritance **
    • Labs
  • Completely Fair Scheduler (CFS)
    • The CFS Scheduler
    • Calculating Priorities and Fair Times
    • Scheduling Classes
    • CFS Scheduler Details
    • Labs
  • Memory Addressing
    • Virtual Memory Management
    • Systems With no MMU
    • Memory Addresses
    • High and Low Memory
    • Memory Zones
    • Special Device Nodes
    • NUMA
    • Paging
    • Page Tables
    • page structure
    • Kernel Samepage Merging (KSM) **
    • Labs
  • Huge Pages
    • Huge Page Support
    • libhugetlbfs
    • Transparent Huge Pages
    • Labs
  • Memory Allocation
    • Requesting and Releasing Pages
    • Buddy System
    • Slabs and Cache Allocations
    • Memory Pools
    • kmalloc()
    • vmalloc()
    • Early Allocations and bootmem()
    • Memory Defragmentation
    • Labs
  • Process Address Space
    • Allocating User Memory and Address Spaces
    • Locking Pages
    • Memory Descriptors and Regions
    • Access Rights
    • Allocating and Freeing Memory Regions
    • Page Faults
    • Labs
  • Disk Caches and Swapping
    • Caches
    • Page Cache Basics
    • What is Swapping?
    • Swap Areas
    • Swapping Pages In and Out
    • Controlling Swappiness
    • The Swap Cache
    • Reverse Mapping **
    • OOM Killer
    • Labs
  • Device Drivers**
    • Types of Devices
    • Device Nodes
    • Character Drivers
    • An Example
    • Labs
  • Signals
    • What are Signals?
    • Available Signals
    • System Calls for Signals
    • Sigaction
    • Signals and Threads
    • How the Kernel Installs Signal Handlers
    • How the Kernel Sends Signals
    • How the Kernel Invokes Signal Handlers
    • Real Time Signals
    • Labs
** These sections may be considered in part or in whole as optional. They contain either background reference material, specialized topics, or advanced subjects. The instructor may choose to cover or not cover them depending on classroom experience and time constraints

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

Refunds and Cancellations:

If you must cancel for any reason please notify us via email at [email protected]. Refunds will only be issued for cancellations received at least 14 calendar days prior the class, and may take up to 14 calendar days to process. Please note that all refunds are subject to a 3% processing fee. If you purchased a bundle of training and certification exams and only want to refund specific items, not the entire bundle, the refund amount shall be calculated as transaction amount multiplied by the proportion of cumulative list price for the items to be refunded divided by the cumulative list price of all items in the bundle.

If you have placed an order for a hard copy version of the course materials, no cancellation will be approved, only a student substitution into the current session will be allowed.

In the event that The Linux Foundation must cancel a training class due to lack of attendance, your refund will be processed in full (no processing fee will be charged) or you can use a credit towards another future training.

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