🚀 Jfedu · Linux Cloud Computing + AIOps LLM Full Course Employment Syllabus

Phase 1 Foundation: Linux Core + AI Ops Entry

Module 1: Linux Ops Foundation & AI Ops Awareness

• 1. Significance of Learning Linux: AI & Cloud Core Carrier
• 2. Linux Introduction: Kernel & Distribution Architecture
• 3. Linux Advantages: Open Source, Stable, Customizable
• 4. Linux Distributions: Enterprise vs Community Selection
• 5. Red Hat: Enterprise Benchmark, AWS/Azure Adaptation
• 6. OpenEuler: Domestic Open Source, Huawei Cloud Integration
• 7. Ubuntu: Cloud-Native & AI Development First Choice
• 8. SUSE: Financial-Grade Stability, Multi-Cloud Management
• 9. Fedora: New Tech & AI Tool Adaptation
• 10. Rocky Linux: Red Hat Compatible
• 11. 32/64-bit Differences: Impact on AI & Cloud Processing
• 12. Linux Kernel Naming & AIOps Cloud Compatibility
• 13. Cloud Computing Core: Linux Role in IaaS/PaaS/SaaS
• 14. Linux Outlook: 2026 Salary Trends
• 15. Windows vs Linux AIOps Division of Labor
• 16. AI Ops Definition: Tech Stack & Value
• 17. AI vs Traditional Ops: From Passive to Proactive
• 18. AI Ops Outlook: Big Tech Demand & Landing Path
• 19. AIOps Scenarios: Anomaly Detection & Case Studies
• 20. Practical: Cloud AIOps Config Server Initialization
• 21. Practical: Cloud Linux Instance Pre-installed AI Agent

Module 2: Linux System Deployment & AI-Assisted Ops First Experience

• 1. Linux Installation Prep: Physical Machine vs Cloud Server Differences
• 2. Enterprise Linux Installation: Cloud Host Image Creation
• 3. Linux Learning Tips: AI-Assisted Command Troubleshooting
• 4. System Boot: Cloud Environment Process Optimization
• 5. BIOS/UEFI Impact on Cloud AIOps Deployment Compatibility
• 6. MBR Limitations & GPT Alternative Solutions
• 7. GPT Partition Table Cloud Service AIOps Advantages
• 8. GRUB Boot Config & Cloud Fault Recovery
• 9. Linux Boot Process: BIOS to Login
• 10. Load BIOS: Cloud Virtualization Adaptation
• 11. Read MBR/GPT: Cloud Storage Mounting
• 12. GRUB Boot: AI Log-Assisted Troubleshooting
• 13. Load Kernel: Cloud Performance Optimization
• 14. Run Levels: systemd Management
• 15. Load rc.sysinit: Cloud Monitoring Startup
• 16. Load Kernel Modules: AI Accelerator Card Config
• 17. Startup Programs: AI Agent Auto-Start
• 18. Read rc.local: Cloud Resource Initialization
• 19. Execute Login: Cloud Security Compliance
• 20. NetworkManager: Cloud Monitoring Integration
• 21. NMCLI Batch Config Cloud Service Network
• 22. TCP/IP Protocol: AIOps Traffic Metrics
• 23. IP Basics: Cloud VPC Planning & Allocation
• 24. IP Classification: CIDR Cloud Network Application
• 25. Gateway/MAC: Cloud Routing Fault Location
• 26. Linux IP Config: DHCP Cloud Service Integration
• 27. Linux DNS Config: Cloud Resolution Optimization
• 28. Network Card Naming: Cloud Asset Management Adaptation
• 29. Linux Password Reset: Cloud Service No-Console Solution
• 30. Remote Management: SSH Config AI Batch Login
• 31. Practical: DeepSeek-Assisted GRUB Fault Recovery
• 32. Practical: AI Tool Deploy Ollama+DeepSeek Localized

Module 3: Linux Core Commands & AI Efficiency Tools Practical

• 1. Linux Directory FHS Standard: Cloud Environment Planning
• 2. AIOps Perspective: Log & Config Model Storage Standards
• 3. Cloud Storage Mount: Object/Block Storage Permission Config
• 4. Basic Commands: cd/ls/pwd Core Operations
• 5. File Commands: mkdir/rm/cp/mv Practical
• 6. Log Commands: cat/head/tail AI Anomaly Extraction
• 7. Compression: zip/gzip/tar Cloud Archive AI Compression
• 8. System Commands: df/du/free Cloud Monitoring Integration
• 9. Disk Commands: fdisk/parted Cloud Disk Operations
• 10. Network Commands: ping/ssh Multi-Cloud Management
• 11. diff Command: Cloud Config Change Detection
• 12. vim Editor: Mode Switching Ops Tips
• 13. vim Advanced: Macro Recording Batch Config Edit
• 14. Linux Users & Groups: Cloud Environment Permission Isolation
• 15. User Commands: useradd/userdel Practical
• 16. Group Commands: groupadd/groupdel Application
• 17. Permission Core: rwx & Numeric Permission Conversion
• 18. chown Permission Allocation: Cloud Security Compliance
• 19. chmod Symbolic & Numeric Permission Practical
• 20. Case 1: Grant User jfedu.net rwx Permission
• 21. Case 2: Grant & Revoke Group jfedu.net Permission
• 22. Case 3: jfedu.net Permission Batch Management AI Audit
• 23. Special Permissions SUID/SGID: Cloud Security Risks
• 24. umask Default Permission: Cloud Service Initialization Config
• 25. find Command: Cloud Service Anomaly File Location
• 26. Practical: AnythingLLM Build Command Knowledge Base
• 27. Practical: Ollama Generate Cloud Service Patrol Script
• 28. Command Anomaly: AI Combined Cloud Monitoring Root Cause Analysis

Phase 2 Core Services: Database/Middleware + AI Intelligent Ops

Module 1: MySQL Database Ops & AI Empowerment

• 1. MySQL Introduction: Cloud-Native AI Ops Trends
• 2. Database Comparison: Self-built MySQL vs Cloud RDS
• 3. MySQL/MariaDB Deployment: YUM/Binary
• 4. MySQL Source Deployment: 5.7 Compile Optimization
• 5. MySQL8 Binary Deployment: Config Planning
• 6. MariaDB 11 Binary Deployment: Cloud Adaptation
• 7. Cloud MySQL Deployment: Security Group, Backup, HA
• 8. MySQL Core Commands: CRUD & Transactions
• 9. Charset Settings: UTF8mb4 Encoding Resolution
• 10. Password Management: Modify & Reset Cloud Environment Adaptation
• 11. User Authorization: Fine-Grained Control Cloud Security
• 12. my.cnf Core Parameters: Performance Optimization
• 13. Index Case: B+Tree Query Optimization
• 14. Slow Query Log: Enable, Analyze, Optimize
• 15. CLI Tips: Batch Operations Cloud Storage Export
• 16. MySQL Optimization: Index, Query, Config Three-Dimensional Plan
• 17. AIOps Application: DeepSeek Optimize SQL Index
• 18. Practical: AI Monitor MySQL Slow Query Generate Plan
• 19. Master-Slave Replication Principle: Binary Log Sync
• 20. MySQL8 Master-Slave Config: Cloud Cross-Region Deployment
• 21. Master-Slave Fault: AI-Assisted Log Diagnosis
• 22. Master-Slave Repair: Ignore Error & Resync
• 23. MySQL Cluster HA: Cloud Load Balancer Integration
• 24. Advanced: LLM Build Fault Knowledge Base Intelligent Q&A
• 25. Practical: AI Preprocess Data Store MySQL Support Analysis

Module 2: Redis Cache & MyCAT Middleware + AI Management

• 1. Redis7 Introduction: In-Memory Database Cloud Cache Value
• 2. Cache Comparison: Self-built Redis vs Cloud Cache
• 3. LAMP+Redis Session Sharing Cache Case
• 4. PHP & Redis Interaction Practical
• 5. Redis Config Core Parameters: Memory Optimization
• 6. Persistence RDB/AOF Combined with Cloud Backup
• 7. Redis Master-Slave Cluster: Data Redundancy & Failover
• 8. Redis Cluster Three-Master Three-Slave Deployment Verification
• 9. Redis Cluster Hash Slot Communication Mechanism
• 10. Backup & Recovery: Cloud Storage Plan Practical
• 11. LNMP Read-Write Separation Redis Cache Acceleration
• 12. MyCAT Introduction: Database Middleware Value
• 13. MyCAT Multi-Role Perspective Concerns
• 14. MyCAT Principle: Sharding Solution
• 15. MyCAT Core: Logic Library, Table, Sharding Table
• 16. Sharding Rules: Cloud Database Sharding Adaptation
• 17. Multi-Tenant Plan: Independent/Shared Library Isolation
• 18. Data Sharding: Vertical vs Horizontal Pros & Cons
• 19. Data Sharding Principles: Data Source Management
• 20. MyCAT2 Deployment: Cloud Host Base Config
• 21. MyCAT Read-Write Separation Test Sync Verification
• 22. MyCAT Management Commands: Version, Library, Table, Heartbeat
• 23. AIOps Application: DeepSeek Design Sharding Rules
• 24. Practical: AI Monitor Redis Memory Generate Strategy
• 25. Practical: MySQL Data AI Analysis Output Table Creation

Module 3: Web Service Architecture & AI Protection Optimization

• 1. Nginx Introduction: Working Principle, Event-Driven
• 2. Web Architecture: Nginx + Cloud Load Balancer + CDN
• 3. Nginx Deployment: Binary, Source, Cloud Installation
• 4. Nginx Modules: Access, Auth_basic, etc.
• 5. Rate Limit Config: Limit_rate Combined with Cloud Throttling
• 6. Nginx Config: Performance, Security, Cloud Adaptation
• 7. Virtual Host: Domain, Port, IP Config
• 8. Location Matching Rules & Priority Practical
• 9. Rewrite Rules: URL Rewrite & Redirect
• 10. Practical: Nginx Static-Dynamic Separation LNMP Cloud Deployment
• 11. LNMP Config: MySQL/PHP/Nginx Integration
• 12. Nginx Log: Custom Split & Cloud Storage Transfer
• 13. Anti-Hotlink: Referer Config Cloud Resource Protection
• 14. HTTPS Config: SSL Cloud Certificate Integration
• 15. Tomcat10 Deployment & Config
• 16. Tomcat Config: Server.xml Core Parameters
• 17. Connectors: BIO/NIO/APR Performance Comparison
• 18. JVM Deep Dive: Heap, Stack Memory Model Optimization
• 19. Tomcat Optimization: JVM Parameters, Thread Pool
• 20. HTTP Protocol: Request, Response, Headers, Status Codes
• 21. HTTP1.1 Keep-Alive Impact on Nginx
• 22. AIOps Application: AI Optimize Nginx Routing
• 23. AI-Assisted Nginx Defense DDoS Anomaly Interception
• 24. Practical: AI Analyze Nginx Performance Generate Plan
• 25. Practical: LLM Generate LNMP Cloud Deployment Script

Phase 3 Monitoring & Logs: Distributed Monitoring + AI Anomaly Detection

Module 1: Zabbix/Prometheus & AI Integration

• 1. Monitoring System: Cloud Monitoring + Open Source Monitoring Collaboration
• 2. Zabbix7 Introduction: Core Components & Process
• 3. Zabbix Collection: Agent/SNMP/JMX
• 4. Zabbix Deployment: Server/Proxy Cloud Cross-Region
• 5. zabbix_server.conf Core Parameters
• 6. Zabbix WEB Initialization Interface Settings
• 7. Zabbix Agent: Active & Passive Mode
• 8. Zabbix Proxy: Distributed Monitoring Config
• 9. Zabbix: Cloud Monitoring Data Sync
• 10. Zabbix Auto-Discovery: Cloud Host Config
• 11. Alert Config: Email, WeChat, Cloud Messaging
• 12. Zabbix Monitor MySQL Master-Slave Triggers
• 13. Advanced Macros: Batch Config Dynamic Parameters
• 14. Monitor Prototype: Batch Port Service Availability
• 15. Monitor Website: Keyword Business Availability
• 16. Zabbix Common Fault Troubleshooting
• 17. Zabbix Trigger Script: Fault Auto-Repair
• 18. Prometheus+Grafana Cloud-Native Deployment
• 19. Prometheus Core Metrics Data Model
• 20. Prometheus: Cloud Monitoring API Aggregation
• 21. Grafana Visualization Dashboard Creation
• 22. AIOps Integration: Zabbix Anomaly AI Analysis
• 23. AI Anomaly Detection: Threshold Self-Adaptive
• 24. Practical: ARIMA Predict CPU & Cloud Auto-Scaling
• 25. Intelligent Alert: Zabbix Noise Reduction & Merge
• 26. Practical: Zabbix Data Train AI Detection Model

Module 2: ELFK Log Analysis & AI Intelligent Diagnosis

• 1. ELK7 Architecture: Component Collaboration & Data Flow
• 2. ELK Process: Collect-Filter-Store-Visualize
• 3. Redis Buffer: ELK High Concurrency Optimization
• 4. ELFK Process: Filebeat Lightweight Collection
• 5. Cloud ELK Deployment: Single Node vs Cluster Scaling
• 6. ES7 Config: User Permission & Cluster Settings
• 7. ES Plugins: IK Analyzer, Monitoring Plugin
• 8. ES: Cloud Storage Backup & Recovery
• 9. ES Fault: Cluster Split-Brain Recovery Drill
• 10. Kibana7: Chinese Settings & Access Control
• 11. Kibana Visualization: Index Dashboard
• 12. Kibana: Cloud Monitoring Panel Integration
• 13. Kibana Security: X-PACK Authentication
• 14. Logstash7: JDK Config & Binary Deployment
• 15. Logstash Plugins: Input/Filter/Output
• 16. Grok Syntax: Log Structured Extraction
• 17. Logstash Index: Time-Based Partition Management
• 18. Filebeat Collect: Nginx/Tomcat Logs
• 19. Filebeat: Multi Log Source Custom Index
• 20. ELK Collect System, MySQL & Other Multi-Type Logs
• 21. ELK Analysis: Access Peak Period Identification
• 22. Redis Accelerate ELK Log Cache Peak Shaving
• 23. AIOps Application: DeepSeek Parse Fault Logs
• 24. ARIMA Predict ES Data Trends
• 25. Practical: Kibana+AI Traffic Prediction Alert
• 26. Practical: AI Draw Kibana Traffic Prediction Curve

Phase 4 Automation & Security: Shell Programming + AI Ops Development

Module 1: Shell Programming Advanced & AI-Assisted Development

• 1. Shell Entry: Script Execution & Interpreter
• 2. Shell Hello World: Script Permission
• 3. Shell Variables: System, Environment, User Variables
• 4. Shell Symbols: Quotes, Brackets, Redirection
• 5. If Condition: Integer, String, File Judgment
• 6. If Multi-Condition: Score Rating Logic
• 7. Case Statement: Menu Interactive Branch
• 8. Select Statement: Interactive Menu
• 9. For Loop: Number, List, Batch Operations
• 10. For Loop: Cloud Service File Transfer Commands
• 11. For Loop: Log Package, User Creation
• 12. While Loop: Condition, Infinite, Line-by-Line Read
• 13. While Loop: File Monitor, Login Monitor
• 14. Shell Function: judge_ip Encapsulation
• 15. Find: By Name, Type, Size, Permission Search
• 16. SED: Text Replace, Delete, Insert
• 17. AWK: Field Processing, Built-in Variables
• 18. GREP: Text Filter, Regex Match
• 19. Shell Array: Define, Access, Replace, Delete
• 20. Cloud Script: Shell Call API Start/Stop Server
• 21. System Script: Backup & Info Collection
• 22. Deploy Script: LAMP/LNMP One-Click Config
• 23. Database Script: MySQL Master-Slave Backup
• 24. Monitor Script: Nginx Log, Disk Monitoring
• 25. Security Script: Block Malicious IP
• 26. AIOps Assisted: LLM Generate Patrol Script
• 27. Shell Preprocess AI Training Data
• 28. Practical: AI Prediction Drive Shell Cloud Resource Adjustment
• 29. Practical: Shell Deploy & Manage AI Model

Module 2: Automation Tools + AI Batch Processing

• 1. Cloud Automation Tool Selection & Architecture Design
• 2. Tool Comparison: Puppet/Saltstack/Ansible
• 3. Ansible Principle: Agentless SSH Communication
• 4. Ansible Installation: YUM Config Detailed
• 5. Inventory Host List: Cloud Dynamic Update
• 6. Ansible Core Modules: ping/copy, etc.
• 7. Command Modules: command/shell/script
• 8. File Modules: copy/file/synchronize
• 9. Package Management: yum/pkg Install & Upgrade
• 10. User Module: user/group Management
• 11. Cron Module: Scheduled Task Config
• 12. Playbook YAML Syntax & Components
• 13. Playbook Variables & Templates: Batch Deployment
• 14. Ansible Call API: Batch Create Cloud Services
• 15. Ansible Optimization: SSH Concurrency Cloud Adaptation
• 16. Ansible Acceleration: Disable Key Detection
• 17. Saltstack Introduction: C/S ZeroMQ Communication
• 18. Saltstack Deployment: Master/Minion
• 19. Salt Node: Hosts & Firewall Config
• 20. Salt Core Modules: ping/cmd, etc.
• 21. Salt State SLS Syntax Case
• 22. SLS Case: Nginx/Tomcat Deployment
• 23. AIOps Application: DeepSeek Write Ansible Playbook
• 24. AI+Ansible: Fault Prediction & Auto-Repair

Module 3: Linux Security Attack & Defense + AI Protection Practical

• 1. Cloud Security System: Cloud Host & Network Protection
• 2. TCP/IP Packet Header: AIOps Traffic Analysis
• 3. TCP Handshake & Wave: Connection Mechanism
• 4. DDoS Attacks: SYN Flood, CC, etc.
• 5. SYN Flood Defense: Kernel Optimization & Cloud Integration
• 6. CC Attack Principle & Defense Strategy
• 7. HTTP Flood Defense: Nginx Rate Limit & Cloud WAF
• 9. Hydra Brute Force: SSH/MySQL Defense
• 10. Libssh Installation: Source & YUM Methods
• 11. Hydra Case: Defense Log Audit
• 12. Metasploit Penetration: Component Deployment
• 13. Msfconsole Penetration: MySQL/Tomcat
• 14. DenyHosts: Anti-Brute Force & Email Alert
• 15. DenyHosts Management: IP Delete & Cloud Adaptation
• 16. IPtables Tables & Chains: Filter/NAT, etc.
• 17. IPtables Process: Forwarding Rule Order
• 18. IPtables Commands: Add, Delete, Modify, Query, Save
• 19. IPtables Case: Web & Database Protection
• 20. Firewalld Zone Management & Command Practical
• 21. Firewalld Config: Permanent Rules
• 22. Linux Security: Password, Sudo, Port Control
• 23. Cloud Host Baseline: AI Automated Audit
• 24. Shell Script: Block Anomaly IP
• 25. AIOps Application: DeepSeek Generate Defense Rules
• 26. Practical: AI Drive DenyHosts Linkage Cloud Security Group

Phase 5 Virtualization & Cloud-Native: Docker/K8s + AI Intelligent Scheduling

Module 1: Docker Virtualization & AI Management Platform

• 1. Virtualization Overview: VMware/KVM/Docker Cloud Relationship
• 2. Virtualization Tech Types & Implementation Comparison
• 3. Docker Advantages: Cloud-Native Adaptability
• 4. Docker Architecture: Client/daemon/containerd
• 5. Core Concepts: Image, Container, Repository Lifecycle
• 6. Cloud Docker Deployment: Install & Domestic Source Config
• 7. Enterprise Docker Security Config & Resource Limits
• 8. Core Commands: search/pull/run/exec
• 9. Container Management: stop/start/restart/rm
• 10. Network Modes: Bridge/Host/Container
• 11. Bridge Mode: Container Communication Cloud Adaptation
• 12. Data Volumes: Local Volume & Cloud Storage Mount
• 13. Dockerfile: FROM/RUN/COPY, etc. Commands
• 14. Dockerfile Standards: Layered Optimization
• 15. Dockerfile Cases: Nginx/MySQL Image
• 16. Repository Management: Docker Hub/Registry/Harbor
• 17. Harbor Deployment: Cloud Environment Image Management
• 18. Docker Monitoring: stats Cloud Monitoring Integration
• 19. Resource Limits: Disk, Memory, CPU Config
• 20. Docker AI Model: Quick Deploy Environment Consistency
• 21. AI Drive Docker Resource Dynamic Allocation
• 22. AIOps Application: DeepSeek Detect Image Vulnerabilities
• 23. Practical: AI Drive Docker Cloud Elastic Scaling
• 24. Advanced: Docker Deploy LLM Service Cloud Adaptation

Module 2: Kubernetes Cloud-Native & AI Ops Practical

• 1. Cloud Computing & K8s Core Value: Cloud-Native Foundation
• 2. Cloud-Native Microservices & K8s Collaboration
• 3. K8s Components: Control Plane & Node Components
• 4. Cloud K8s Deployment: Self-built vs Managed EKS/ACK
• 5. Core Resources: Pod/Label/Replication Controller
• 6. Core Resources: Service/Node/Volume
• 7. Volume Types: Local & Cloud Storage Integration
• 8. K8s Deployment: Kubeadm Build Master/Node
• 9. K8s Node: Hosts & Firewall Config
• 10. Kernel Parameters: K8s Node Performance Optimization
• 11. K8s Network: Flannel/Calico Cloud VPC Adaptation
• 12. Private Registry: Image Pull Config
• 13. Service Types: ClusterIP/NodePort
• 14. Service Cases: Internal Communication & External Access
• 15. Dashboard Deployment & Permission Config
• 16. K8s Faults: Etcd/POD/Docker Issues
• 17. Managed K8s: ACK/EKS Cluster App Deployment
• 18. AI Drive K8s Resource Load-Aware Scheduling
• 19. AI Assist K8s Fault Prediction & Self-Healing
• 20. AIOps Application: AI Drive K8s Resource Scheduling
• 21. Practical: AI Monitor K8s Pod Fault Recovery Plan
• 22. Advanced: K8s Performance Monitoring AI Optimization

Phase 6 AI Ops Advanced: LLM Development & Enterprise Practical

Module 1: LLM Knowledge Base & Model Fine-Tuning Practical

• 1. AIOps Core: LLM Cloud Ops Landing Scenarios
• 2. LLM Deployment: GPU Cloud Host Resource Config
• 3. AnythingLLM Deployment: Ops Cloud Knowledge Base
• 4. Ollama Manage DeepSeek/LLaMA Cloud Adaptation
• 5. Model Fine-Tuning: Ops Cloud Monitoring Data Preparation
• 6. Linux Package Management: RPM/Tar/YUM/Source
• 7. RPM Management: Install, Query, Uninstall
• 8. Tar Command Parameters: System Backup
• 9. YUM Principle: Local, Network, Cloud Source Config
• 10. YUM Case: Priority, ISO Local Source
• 11. Sync External Network YUM Source Extension
• 12. Hard Disk Introduction: Block & Inode
• 13. Hard & Soft Links: Difference & Enterprise Application
• 14. Hard Disk Fault: AI-Assisted Diagnosis & Repair
• 15. Practical: AI Auto-Config YUM Source
• 16. Practical: AI Hard Disk Detection Generate Report
• 17. Practical: AI Collect High-Frequency Linux Commands Optimize Learning
• 18. LLM API Development: Ops Cloud Platform Integration
• 19. Practical: Cloud LLM HA Docker+K8s Deployment

Module 2: AI Ops Agent Development & Enterprise Landing

• 1. AI Agent Principle: Cloud Ops Scenario Design
• 2. Agent Development Environment: Cloud Host Config
• 3. CI/CD Concept: Traditional vs Continuous Integration Difference
• 4. Jenkins Introduction: Core Components & Value
• 5. Jenkins Deployment: WAR Package & Docker Methods
• 6. Jenkins Concepts: Build/JOB/Plugins
• 7. Compile Tool Comparison: Make/Ant/Maven
• 8. Jenkins JOB: Source Pull & Build
• 9. Jenkins Automation: Plugin & Script Integration
• 10. Jenkins Email & Multi-Instance Config
• 11. Jenkins+Ansible: High Concurrency Deployment
• 12. Version Control: SVN vs Git Difference & Selection
• 13. SVN Deployment: YUM/Source + Apache
• 14. SVN Client: Checkout, Commit, Branch
• 15. Git Deployment: YUM/Source Config
• 16. Git Repository: Local & Remote Interaction
• 17. Git Commands: add/commit/push/pull
• 18. Practical 1: Cloud Resource Patrol Agent Development
• 19. Practical 2: Database Intelligent Ops Agent Development
• 20. AI Prediction: Jenkins Build Failure
• 21. AI Analysis: Jenkins Data Optimize Workflow
• 22. AIOps Integration: Agent Link Zabbix/ELK
• 23. Practical: AI Prediction Drive Shell Cloud Resource Adjustment

Phase 7 Career Advancement: High-Salary Interview & Enterprise Project Practical

Module 1: Enterprise-Level Comprehensive Project Practical

• 1. HA Cluster: Keepalived VRRP Principle
• 2. Nginx+Keepalived: Master-Slave & Dual-Master Architecture
• 3. Redis+Keepalived: Data Consistency
• 4. MySQL+Keepalived: Master-Slave Switching
• 5. Haproxy Introduction: Load Algorithms & Scenarios
• 6. Haproxy+Keepalived: Config & Test
• 7. LVS Introduction: Working Modes & Principle
• 8. LVS+Keepalived DR Mode: Config & Troubleshooting
• 9. Project 1: 100M PV Cloud Architecture AIOps Monitoring
• 10. Architecture Design: Cloud Load Balancer + Nginx + K8s + Cloud DB
• 11. Implementation: Nginx + K8s Cloud Deployment
• 12. Implementation: Redis Cluster + MySQL Master-Slave Cross-Region
• 13. Implementation: ELK + Zabbix Cloud Monitoring Linkage
• 14. Optimization: AI Drive Cloud Resource Elastic Scaling
• 15. Project 2: Enterprise AIOps Platform Construction
• 16. Project 3: Cloud-Native Application AI Ops
• 17. Project 4: Cross-Platform Automation Ansible+Jenkins
• 18. Project 4 Optimization: AI Prediction Build Risk & Cost

Module 2: High-Salary Job Hunting & Interview Success

• 1. AI Ops Capability Model: Linux + AI + Cloud
• 2. Job Requirements Analysis: Big Tech JD Analysis
• 3. Company Selection: Development Prospects & Job Match
• 4. Company Scale: Big Tech vs Small Tech Pros & Cons
• 5. City Selection: Tier-1 vs New Tier-1 Opportunities
• 6. No Experience Job Hunting: Project Packaging & Capability Display
• 7. Age & Gender: Ops Job Hunting Tips
• 8. Resume Optimization: Highlight Linux + AI + Cloud Projects
• 9. Resume Basics: HR Screening Logic & Pitfalls
• 10. Work Experience: STAR Rule & Results Quantification
• 11. Project Packaging: Tech Depth & Business Value
• 12. Personal Works: Match Recruitment Needs
• 13. Interview Must-Know: Core Knowledge Points 3000+ Question Bank
• 14. Interview Real Questions: Cloud-Native AI Ops Solutions
• 15. Interview Skills: Self-Introduction & Project Explanation
• 16. Technical Interview: Efficient Communication Skills
• 17. Career Planning: Development Path CKA/AWS Certification
• 18. Mock Interview: High-Frequency Questions & Answers
• 19. Offer Negotiation & Onboarding Preparation