Unlock Linux System Mastery: From Basics to Cloud, Virtualization, and Big Data

Course Overview

The course runs on OpenStack‑enabled RHEL 6.5/CentOS 6.6 (with occasional CentOS 7) and provides a detailed, step‑by‑step teaching framework; the actual delivery order may differ from the outline.

New Knowledge Topics (Draft)

Queueing Theory, including Utilization Law and Little’s Law

Advanced Message Queue Protocols (AMQP) and comparison of RabbitMQ, ActiveMQ, Qpid, ZeroMQ

Enhanced KVM virtualization with enterprise deployment cases

Enhanced OpenStack coverage with enterprise deployment cases

CMDB system (oneCMDB) for automated operations

In‑depth Redis tutorial

In‑depth Git tutorial

1. Linux System Fundamentals and Administration

History and architecture of operating systems; Linux origins and distributions

Basic commands, help systems, and filesystem hierarchy

User, group, and permission management (useradd, userdel, chmod, chown, usermod, chage, umask)

Bash basics, I/O, pipelines, and shell scripting

Text editors: nano, vim (basic to advanced techniques)

Process management tools (ps, pkill, top, htop) and job control

Task scheduling with at, cron, anacron

File search with find (basic and advanced)

TCP/IP fundamentals, state machine, network configuration, client tools

Package management (rpm, yum) and repository creation

Disk interfaces, Linux disk management, filesystems, and related tools

System initialization, kernel basics, custom kernel compilation; RHEL 5 vs RHEL 6 boot differences

X11, SSH, VNC, CUPS services; SSH clients (PuTTY, SecureCRT, Xmanager)

Extended file attributes and ACLs

RAID concepts, software RAID implementation, hardware RAID basics

LVM2 concepts and command‑line tools

Linux logging systems and common log management tools

SELinux principles and utilities (e.g., setenforce)

Kickstart for automated RHEL/CentOS installation

System and network troubleshooting

Custom lightweight Linux builds for deep architectural understanding

2. Shell Programming (Integrated Throughout)

Bash environment customization (profile, bashrc, .bash_profile)

Script structure, variables, expressions, and special parameters

Conditional tests, if/case statements

Loops (for, while, until) with break/continue

Functions and library creation

Signal handling in scripts

Output formatting with printf and colors

Script options and argument parsing

Array handling

Debugging techniques

Dialog command for text UI

Regular expressions and grep

sed and awk deep dive

3. Linux Network Services and Security

System performance, threat models, and protection methods

Encryption, PKI, OpenSSL usage

DNS (BIND9) configuration, advanced features, and intelligent DNS for ISP environments (e.g., www.dns.la)

FTP service with vsftpd, virtual users, FTPS

HTTP protocol, SSL/TLS, Apache fundamentals, MPM models, virtual hosts, security (HTTPS, suEXEC)

PHP setup, MySQL basics, LAMP stack customization

Nginx features, virtual hosts, URL rewriting, LEMP implementation

Django basics and integration with Apache or Nginx

VPN fundamentals and OpenVPN configuration

iptables/netfilter basics, matching, target actions

Advanced iptables: connection tracking, NAT, layer‑7 filtering

RPC concepts, NFS and Samba configuration

Email system fundamentals, Postfix/Dovecot setup, secure protocols, virtual domains, LDAP integration, webmail

nss and PAM basics and configuration

4. MySQL Database from Beginner to Expert

Relational database concepts, MySQL architecture and history

Installation methods (rpm, binaries, source) and service control

Configuration files, server and status variables

DDL/DML operations, tables, views, indexes

Complex queries, joins, subqueries

User management and privileges

Transactions, locking, isolation levels

Storage engines and table maintenance

Backup tools (mysqldump, XtraBackup, LVM snapshots) and recovery

Index types and query optimization

Log management (general, slow, binary, relay, transaction, error)

Replication (master‑slave, master‑master, SSL‑encrypted, GTID, multi‑threaded)

Read/write splitting, connection pooling, sharding (mysql_proxy, sql_relay, amoeba, cobar)

Low‑cost high‑availability clusters (MySQL + corosync/openais + DRBD)

Third‑party tools (phpMyAdmin, MySQL Workbench, MySQL Front)

Hardware and system tuning for MySQL workloads

5. Clustering and Storage

Linux clustering architectures and use cases

LVS principles, types, scheduling algorithms

LVS‑NAT and LVS‑DR configuration for Apache, Nginx, SSH load balancing

Persistence and affinity handling

Bash script for real‑server health monitoring and failover

High‑availability concepts: Heartbeat, OpenAIS/Corosync, Pacemaker

Heartbeat installation, web‑based HA example, GUI management

Corosync/OpenAIS deep dive, Pacemaker resource management, STONITH

RHCS architecture and deployment demo

Integration of LVS and Corosync for large‑scale HA director

Keepalived with Nginx/Haproxy dual‑master setup

RAID, NAS, SAN, iSCSI fundamentals; Linux iSCSI server implementation

OpenFiler, FreeNAS, NexentaStor open‑source solutions

GFS2 cluster filesystem principles and iSCSI‑based implementation

6. HTTP Proxy Acceleration and Application Servers

HTTP caching principles, headers, reverse proxy comparison

Varnish architecture, installation, VCL programming, performance tuning

Nginx upstream and proxy load balancing

HAProxy features, configuration, scheduling algorithms, ACLs

Memcached usage in web stacks

Java/JSP/Servlet, HotSpot JVM, J2SE/J2EE, web containers

Tomcat architecture, installation, connectors, Apache/Nginx integration, clustering models

Session persistence strategies for load‑balanced environments

Distributed file systems overview and comparison

MogileFS principles, installation, integration with Nginx

CDN implementation basics

Scalable web service design for traffic growth (10k → 1M → 10M PV)

Web performance testing, analysis, and optimization

7. Virtualization and IaaS Cloud Topics

Xen virtualization challenges (CPU, memory, I/O) and solutions

Xen basics, scheduling, interrupts, device virtualization

Installation and simple use of Xen on RHEL/CentOS

Virtual storage/network configuration, qemu‑img usage

Xen management tools (xm, xl) and XenServer overview

KVM fundamentals, architecture, and performance testing

KVM installation, configuration, and usage

qemu‑kvm command‑line management

CPU, memory, storage, network virtualization with VNC/SDL

Libvirt, virt‑install, virt‑manager tools

Paravirtualization (virtio), live migration, I/O passthrough, KSM

KVM optimization for production workloads

OpenStack overview (IaaS, PaaS, SaaS)

OpenStack components: Keystone, Glance, Nova, Swift, Horizon

OpenStack networking (Neutron) and block storage (Cinder)

Ceilometer, Heat orchestration

Full OpenStack deployment with separate control, compute, and object storage nodes

8. Automation Operations Topics

Automation overview: efficient IT asset management, rapid issue resolution

SNMP protocol principles and Linux configuration

Monitoring models for network, system, services

Zabbix deep dive (reference list at mageedu.blog.51cto.com/4265610/1309875)

RRDTool, Cacti installation, custom monitoring scripts

Nagios basics, advanced usage, plugin development

Kickstart unattended installation, PXE boot automation

Cobbler service principles and configuration

Ansible command orchestration

Puppet detailed guide (reference list at mageedu.blog.51cto.com/4265610/1308671)

SaltStack overview

9. Linux System Principles and Tuning

PC server architecture and Linux system structure

Process theory (scheduling, priority, categories) and performance tuning

CPU and cache architecture, coherence algorithms, memory models

Memory subsystem (zones, MMU, TLB, slab, buddy, pages) monitoring and tuning

I/O architecture, device drivers, disk I/O queues, scheduler tuning

Virtual filesystem concepts, block/inode/journal, filesystem performance evaluation

Interrupts, signals, IRQ handling, and tuning implications

Network subsystem (socket buffers, NAPI, kernel buffers) monitoring and optimization

Practical project tuning examples (e.g., MySQL system tuning)

Performance evaluation metrics and methods

Tools: sar, htop, dstat, iostat, perf, netperf, iozone

Web and MySQL service optimization case studies

10. Massive Data Parallel Processing Systems

NoSQL fundamentals, CAP theorem, MongoDB architecture and deployment

Hadoop ecosystem: MapReduce concepts, HDFS basics, pseudo‑distributed and full clusters

Hadoop tuning and common configuration pitfalls

Hadoop ecosystem components and scheduler selection

Hardware sizing for Hadoop

Zookeeper, HBase basics and deployment

Hive data warehouse fundamentals

One of Flume/Scribe/Chukwa/Kafka log collection systems

Automated Hadoop deployment tools

11. Supplemental Advanced Topics

RPM SPEC file details, package building, signing

LDAP protocol, OpenLDAP installation and usage

BusyBox and custom kernel for minimal Linux (LFS)

Redis architecture, installation, and use cases

ATS features, installation, and application

Logstash for log collection and analysis

Python scripting basics

12. Professional Skills Course

Personal business model construction and analysis

Workplace etiquette

Resume writing guidelines

Interview process, common questions, mock interviews