Linux Performance Optimization: Red Hat EX436 and LPIC-3 304

لینوکس (به انگلیسی: Linux) نام یک سیستم عامل رایانه‌ای است که معروف‌ترین مثال نرم‌افزار آزاد و توسعه به روش اُپن‌سورس (متن‌باز) شناخته می‌شود. اگر بخواهیم دقیق باشیم فقط باید هستهٔ لینوکس را لینوکس بنامیم اما به طور معمول این کلمه به سیستم‌عامل‌های یونیکس‌مانندی (یا گنو/لینوکسی) اطلاق می‌شود که بر مبنای هستهٔ لینوکس و کتاب‌خانه‌ها و ابزارهای پروژه‌ گنو ساخته شده‌اند. به مجموعه‌ای از نرم‌افزارهای بنا شده بر اجزای گفته شده توزیع لینوکس (linux distribution) می‌گویند که به طور معمول شامل ابزارهای توسعه‌ نرم‌افزار، پایگاه‌های داده، سرویس دهنده‌های وب مثل آپاچی، محیط‌های رومیزی مثل گنوم و کی‌دی‌ای و مجموعه‌های اداری مثل اُپن آفیس هستند.

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ویدئو آموزشی Linux Performance Optimization: Red Hat EX436 and LPIC-3 304

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Introduction
Module 1: Performance Tuning Essentials
Lesson 1: Performance Optimization Basics
Learning objectives
1.1 Understanding Performance Tuning
1.2 What do you Want to Accomplish?
1.3 Getting Started
1.4 Using top to Analyze Performance

Lesson 2: Tuning Essentials
Learning objectives
2.1 Understanding Queueing
2.2 Configuring System Tunables
2.3 Managing Kernal Module Parameters
2.4 Working with Tuned
2.5 Managing Custom Tuned Profiles
2.6 Managing Tuna

Lesson 3: Limiting Resource Usage
Learning objectives
3.1 Configuring Ulimit Resource Limits
3.2 Understanding Control Groups
3.3 Integrating Control Groups in systemd
3.4 Managing systemd cgroups
3.5 Managing Slices

Module 2: Gathering Performance Data

Lesson 4: Benchmarking
Learning objectives
4.1 Understanding Benchmarking
4.2 Understanding Units
4.3 Using Benchmarking Tools
4.4 Using awk to Find Relevant Data
4.5 Getting Performance data with sar
4.6 Plotting Data
4.7 Lab: Using gnuplot to show sar data
4.8 Using Performance Co-Pilot

Lesson 5: Profiling
Learning objectives
5.1 Understanding the Need for Profiling
5.2 Understanding What you Need to Know
5.3 Querying Kernel Information
5.4 Hardware Profiling Tools
5.5 Profiling Storage
5.6 Understanding CPU Cache Usage
5.7 Profiling CPU Cache Usage
5.8 Using perf

Lesson 6: Tracing
Learning objectives
6.1 Understanding Tracing
6.2 Tracing System and Library Calls
6.3 Kernel Tracing with ftrace
6.4 Understanding SystemTap
6.5 Installing SystemTap
6.6 Running SystemTap Scripts
6.7 Running Precompiled SystemTap Modules

Module 3: Tuning Specific Workloads

Lesson 7: Tuning for Small Files
Learning objectives
7.1 Understanding I/O Flow
7.2 Understanding Small File Workloads Pt 1
7.3 Understanding Small File Workloads Pt 2
7.3 7.4 Optimizing Disk I/O
7.4 7.5 Selecting the Best Filesystem
7.5 7.6 Managing journaling Options
7.6 7.7 Tuning a Mailserver Workload

Lesson 8: Tuning Memory

Learning objectives
8.1 Understanding Memory Management
8.2 Managing Process Memory
8.3 Finding Memory Leaks
8.4 Using Swap and Cache
8.5 Managing Memory Reclamation
8.6 Managing OOM
8.7 Managing NUMA

Lesson 9: Tuning for CPU-intense Workloads
Learning objectives
9.1 Understanding CPU Features
9.2 Understanding CPU-bound Tasks
9.3 Understanding CPU Scheduling
9.4 Configuring CPU Scheduling
9.5 CPU Pinning
9.6 Balancing Interrupts
9.7 Using Real-time Scheduling

Lesson 10: Tuning File Services
Learning objectives
10.1 Understanding File Services Tuning
10.2 Selecting the Right Tuned Profile
10.3 Managing Fragmentation
10.4 Managing FS Journal Placement
10.5 Aligning a File System to the Disk Geometry
10.6 Understanding Network Performance Challenges
10.7 Tuning Network Interface Performance
10.8 Tuning Network Queues
10.9 Managing TCP- / UDP-related Tunables
10.10 Managing Network Link Aggregation

Lesson 11: Database Workload Tuning
Learning objectives
11.1 Understanding Database Server Workload
11.2 Managing Inter Process Communication (IPC)
11.3 Managing Huge Pages
11.4 Overcommitting Memory

Lesson 12: Tuning Power Usage
Learning objectives
12.1 Using Generic Power-saving Strategies
12.2 Linux Power Consumption Strategies
12.3 Understanding Power States
12.4 Profiling Power Usage
12.5 Managing cpufreq

Lesson 13: Tuning Virtualization
Learning objectives
13.1 Using Tuned
13.2 CPU Pinning
13.3 Using Kernel Samepgage Merging (KSM)
13.4 Virtual Machines and Cgroups
13.5 Virtual Machine Storage

Lesson 14: Sample Exam
Learning objectives
14.1 Questions
14.2 Collecting Data with sar
14.3 Analyzing Cache Performance
14.4 Managing Huge Pages
14.5 Analyzing File System Performance
14.6 Managing Swap
14.7 Optimizing Large Writes
14.8 Analyzing I/O
14.9 Analyzing Performance Data
14.10 Managing Network Buffers
14.11 Managing User Limitations
14.12 Managing System Resource Access
14.13 Analyzing System Cells
14.14 Managing Shared Memory
14.15 Managing Kernel Module Options
14.16 Analyzing Hardware Capabilities

Table of Contents

  1. Introduction
    1. Linux Performance Optimization: Introduction 00:02:58
  2. Module 1: Performance Tuning Essentials
    1. Module introduction 00:00:25
  3. Lesson 1: Performance Optimization Basics
    1. Learning objectives 00:00:23
    2. 1.1 Understanding Performance Tuning 00:05:51
    3. 1.2 What do you Want to Accomplish? 00:04:05
    4. 1.3 Getting Started 00:08:13
    5. 1.4 Using top to Analyze Performance 00:08:45
  4. Lesson 2: Tuning Essentials
    1. Learning objectives 00:00:21
    2. 2.1 Understanding Queueing 00:03:55
    3. 2.2 Configuring System Tunables 00:10:53
    4. 2.3 Managing Kernal Module Parameters 00:05:56
    5. 2.4 Working with Tuned 00:06:44
    6. 2.5 Managing Custom Tuned Profiles 00:09:17
    7. 2.6 Managing Tuna 00:01:37
  5. Lesson 3: Limiting Resource Usage
    1. Learning objectives 00:00:23
    2. 3.1 Configuring Ulimit Resource Limits 00:12:35
    3. 3.2 Understanding Control Groups 00:06:31
    4. 3.3 Integrating Control Groups in systemd 00:06:17
    5. 3.4 Managing systemd cgroups 00:09:24
    6. 3.5 Managing Slices 00:04:28
  6. Module 2: Gathering Performance Data
    1. Module introduction 00:00:27
  7. Lesson 4: Benchmarking
    1. Learning objectives 00:00:29
    2. 4.1 Understanding Benchmarking 00:01:39
    3. 4.2 Understanding Units 00:06:32
    4. 4.3 Using Benchmarking Tools 00:06:05
    5. 4.4 Using awk to Find Relevant Data 00:09:08
    6. 4.5 Getting Performance data with sar 00:03:45
    7. 4.6 Plotting Data 00:06:17
    8. 4.7 Lab: Using gnuplot to show sar data 00:05:11
    9. 4.8 Using Performance Co-Pilot 00:09:29
  8. Lesson 5: Profiling
    1. Learning objectives 00:00:28
    2. 5.1 Understanding the Need for Profiling 00:02:47
    3. 5.2 Understanding What you Need to Know 00:08:37
    4. 5.3 Querying Kernel Information 00:06:16
    5. 5.4 Hardware Profiling Tools 00:09:51
    6. 5.5 Profiling Storage 00:07:34
    7. 5.6 Understanding CPU Cache Usage 00:05:33
    8. 5.7 Profiling CPU Cache Usage 00:05:50
    9. 5.8 Using perf 00:04:06
  9. Lesson 6: Tracing
    1. Learning objectives 00:00:25
    2. 6.1 Understanding Tracing 00:01:17
    3. 6.2 Tracing System and Library Calls 00:06:55
    4. 6.3 Kernel Tracing with ftrace 00:05:32
    5. 6.4 Understanding SystemTap 00:02:02
    6. 6.5 Installing SystemTap 00:02:15
    7. 6.6 Running SystemTap Scripts 00:05:16
    8. 6.7 Running Precompiled SystemTap Modules 00:01:35
  10. Module 3: Tuning Specific Workloads
    1. Module introduction 00:00:27
  11. Lesson 7: Tuning for Small Files
    1. Learning objectives 00:00:27
    2. 7.1 Understanding I/O Flow 00:04:01
    3. 7.2 Understanding Small File Workloads Pt 1 00:08:41
    4. 7.3 Understanding Small File Workloads Pt 2 00:05:20
    5. 7.3 7.4 Optimizing Disk I/O 00:05:06
    6. 7.4 7.5 Selecting the Best Filesystem 00:11:48
    7. 7.5 7.6 Managing journaling Options 00:08:46
    8. 7.6 7.7 Tuning a Mailserver Workload 00:04:22
  12. Lesson 8: Tuning Memory
    1. Learning objectives 00:00:37
    2. 8.1 Understanding Memory Management 00:08:35
    3. 8.2 Managing Process Memory 00:05:07
    4. 8.3 Finding Memory Leaks 00:04:32
    5. 8.4 Using Swap and Cache 00:12:07
    6. 8.5 Managing Memory Reclamation 00:05:50
    7. 8.6 Managing OOM 00:11:31
    8. 8.7 Managing NUMA 00:04:32
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  1. محمد says

    ممنون عالی بود.

  2. میترا امیدی says

    مثل همیشه عالی هستین

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