4.1 С чего начать изучение DevOps #

# Заполните честно по шкале 1-10

technical_skills:
  linux_basics: ___/10          # Командная строка, файловая система, процессы
  networking: ___/10            # TCP/IP, DNS, HTTP, load balancing
  programming: ___/10           # Любой язык программирования
  databases: ___/10             # SQL, NoSQL, backup/restore
  cloud_basics: ___/10          # Понимание облачных концепций
  security: ___/10              # Базовые принципы информационной безопасности

devops_tools:
  version_control: ___/10       # Git workflow, branching
  ci_cd: ___/10                # Jenkins, GitHub Actions, deployment
  containers: ___/10            # Docker, container concepts
  orchestration: ___/10         # Kubernetes, Docker Swarm
  infrastructure_as_code: ___/10 # Terraform, Ansible, CloudFormation
  monitoring: ___/10            # Prometheus, Grafana, logging

soft_skills:
  communication: ___/10         # Техническая коммуникация
  problem_solving: ___/10       # Системное мышление, debugging
  time_management: ___/10       # Приоритизация, productivity
  learning_ability: ___/10      # Скорость освоения новых технологий
  collaboration: ___/10         # Работа в команде, code review

# Анализ результатов:
total_technical: ___/60        # Сумма technical_skills
total_devops: ___/60          # Сумма devops_tools  
total_soft: ___/50            # Сумма soft_skills

**Сильные стороны:**
✅ Linux/Windows администрирование
✅ Сетевые технологии
✅ Понимание инфраструктуры
✅ Troubleshooting навыки
✅ Security awareness

**Пробелы для заполнения:**
📚 Программирование (Python/Bash скриптинг)
📚 Version control (Git workflow)
📚 CI/CD процессы
📚 Контейнеризация
📚 Cloud платформы
📚 Infrastructure as Code

**Преимущества перехода:**
- Понимаете "боль" операционной команды
- Знаете, как системы ломаются в реальности
- Опыт работы с production средами
- Понимание capacity planning и performance tuning

**Сильные стороны:**
✅ Программирование
✅ Понимание жизненного цикла ПО
✅ Debugging и problem solving
✅ Работа с Git и code review
✅ Testing mindset

**Пробелы для заполнения:**
📚 Linux системное администрирование
📚 Networking и security
📚 Infrastructure management
📚 Monitoring и observability
📚 Production operations
📚 Incident management

**Преимущества перехода:**
- Понимаете потребности разработчиков
- Можете автоматизировать сложные процессы
- Знаете, как приложения должны работать
- Опыт code review и quality assurance

**Преимущества "чистого листа":**
✅ Нет устаревших привычек
✅ Готовность к обучению
✅ Свежий взгляд на процессы
✅ Высокая мотивация

**Общие пробелы:**
📚 Все технические навыки
📚 Понимание IT-процессов
📚 Industry context и терминология
📚 Professional communication

**Стратегия обучения:**
- Начать с фундаментальных основ
- Больше времени на практику
- Найти ментора или сообщество
- Фокус на learning how to learn

#!/bin/bash
# Скрипт настройки домашней лаборатории

echo "=== DevOps Home Lab Setup ==="

# 1. Виртуализация (выберите одно)
setup_virtualization() {
    echo "Выберите платформу виртуализации:"
    echo "1. VirtualBox (бесплатно, для начинающих)"
    echo "2. VMware Workstation (платно, более производительно)"
    echo "3. Hyper-V (Windows, встроенно)"
    echo "4. KVM/QEMU (Linux, продвинутые пользователи)"
    
    # Для большинства рекомендуется VirtualBox
    sudo apt update
    sudo apt install virtualbox virtualbox-ext-pack
    
    # Скачать образы Linux
    echo "Рекомендуемые дистрибутивы для изучения:"
    echo "- Ubuntu Server 22.04 LTS (основной)"
    echo "- CentOS Stream 9 (enterprise)"
    echo "- Alpine Linux (для контейнеров)"
}

# 2. Контейнеризация
setup_containers() {
    # Docker
    curl -fsSL https://get.docker.com -o get-docker.sh
    sudo sh get-docker.sh
    sudo usermod -aG docker $USER
    
    # Docker Compose
    sudo curl -L "https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
    sudo chmod +x /usr/local/bin/docker-compose
    
    # Kind (Kubernetes in Docker)
    curl -Lo ./kind https://kind.sigs.k8s.io/dl/v0.17.0/kind-linux-amd64
    chmod +x ./kind
    sudo mv ./kind /usr/local/bin/kind
}

# 3. Kubernetes для обучения
setup_kubernetes() {
    # kubectl
    curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
    sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl
    
    # Minikube (альтернатива Kind)
    curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
    sudo install minikube-linux-amd64 /usr/local/bin/minikube
    
    echo "Создать кластер: minikube start --driver=docker"
}

# 4. Infrastructure as Code
setup_iac() {
    # Terraform
    wget -O- https://apt.releases.hashicorp.com/gpg | sudo gpg --dearmor -o /usr/share/keyrings/hashicorp-archive-keyring.gpg
    echo "deb [signed-by=/usr/share/keyrings/hashicorp-archive-keyring.gpg] https://apt.releases.hashicorp.com $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/hashicorp.list
    sudo apt update && sudo apt install terraform
    
    # Ansible
    sudo apt install software-properties-common
    sudo add-apt-repository --yes --update ppa:ansible/ansible
    sudo apt install ansible
}

# 5. Мониторинг (локальная установка)
setup_monitoring() {
    # Создать docker-compose для Prometheus + Grafana
    mkdir -p ~/devops-lab/monitoring
    cat > ~/devops-lab/monitoring/docker-compose.yml << 'EOF'
version: '3.8'
services:
  prometheus:
    image: prom/prometheus:latest
    ports:
      - "9090:9090"
    volumes:
      - ./prometheus.yml:/etc/prometheus/prometheus.yml
      
  grafana:
    image: grafana/grafana:latest
    ports:
      - "3000:3000"
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=admin
    volumes:
      - grafana-data:/var/lib/grafana

volumes:
  grafana-data:
EOF

    # Базовая конфигурация Prometheus
    cat > ~/devops-lab/monitoring/prometheus.yml << 'EOF'
global:
  scrape_interval: 15s

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
      - targets: ['localhost:9090']
EOF

    echo "Запустить мониторинг: cd ~/devops-lab/monitoring && docker-compose up -d"
}

# Основная функция установки
main() {
    echo "Установка компонентов DevOps лаборатории..."
    setup_virtualization
    setup_containers
    setup_kubernetes  
    setup_iac
    setup_monitoring
    
    echo "✅ Базовая настройка завершена!"
    echo "📚 Следующие шаги:"
    echo "1. Создайте VM с Ubuntu Server"
    echo "2. Запустите Kind/Minikube кластер"  
    echo "3. Поднимите мониторинг: cd ~/devops-lab/monitoring && docker-compose up -d"
    echo "4. Начните с первых labs в Chapter 2"
}

main

# Настройка бесплатных cloud аккаунтов для практики

aws_free_tier:
  duration: "12 months"
  limits:
    ec2: "750 hours/month t2.micro"
    s3: "5GB storage"
    rds: "750 hours/month db.t2.micro"
    lambda: "1M requests/month"
  cost_warning: "Настройте billing alerts на $5!"
  
azure_free_tier:
  duration: "12 months"  
  credits: "$200 for first month"
  limits:
    vm: "750 hours/month B1S"
    storage: "5GB LRS"
    database: "250GB SQL Database"
  cost_warning: "Следите за потреблением credits"

gcp_free_tier:
  duration: "Always free + $300 credit"
  limits:
    compute: "1 f1-micro instance"
    storage: "5GB regional storage"  
    functions: "2M invocations/month"
    bigquery: "1TB queries/month"
  advantage: "Более щедрые always-free лимиты"

safety_tips:
  - "Используйте только free tier ресурсы"
  - "Настройте budget alerts"
  - "Удаляйте ресурсы после экспериментов"
  - "Изучите pricing calculator перед созданием ресурсов"

# DevOps Learning Plan - Первые 90 дней

## Days 1-30: Foundations
### Week 1: Linux Basics
- [ ] Complete Linux command line tutorial
- [ ] Practice file permissions and user management
- [ ] Learn basic networking commands (ping, netstat, ss)
- [ ] Set up SSH key authentication

### Week 2: Version Control
- [ ] Git fundamentals course
- [ ] Create GitHub account and first repository
- [ ] Practice branching and merging
- [ ] Learn GitHub workflow (issues, PRs, reviews)

### Week 3-4: Programming Basics
- [ ] Choose language: Python (recommended) or Bash
- [ ] Complete beginner course (Python for Everybody или аналог)
- [ ] Write first automation scripts
- [ ] Learn basic debugging techniques

**Milestone:** Can navigate Linux, use Git, write simple scripts

## Days 31-60: DevOps Tools
### Week 5-6: Containerization
- [ ] Docker fundamentals course
- [ ] Build first Docker images
- [ ] Learn Docker Compose
- [ ] Practice container networking and volumes

### Week 7-8: CI/CD Introduction  
- [ ] Set up GitHub Actions for simple project
- [ ] Learn Jenkins basics (optional)
- [ ] Automate testing and building
- [ ] Deploy to staging environment

**Milestone:** Can containerize applications and set up basic CI/CD

## Days 61-90: Advanced Topics
### Week 9-10: Cloud Basics
- [ ] Choose cloud provider (AWS recommended)
- [ ] Complete cloud practitioner course
- [ ] Deploy applications to cloud
- [ ] Learn cloud networking basics

### Week 11-12: Infrastructure as Code
- [ ] Terraform basics course
- [ ] Provision cloud resources with code
- [ ] Learn state management
- [ ] Practice module creation

**Milestone:** Can provision cloud infrastructure as code

## Daily Habits (throughout 90 days):
- [ ] 30 minutes of structured learning
- [ ] 30 minutes of hands-on practice
- [ ] Read 1 DevOps article/blog post
- [ ] Participate in 1 community discussion (Reddit, Discord)

## Weekly Habits:
- [ ] Work on personal project (2-3 hours)
- [ ] Review and document learnings
- [ ] Plan next week's focus areas
- [ ] Connect with other learners/professionals

## Success Metrics:
- [ ] GitHub profile with 10+ repositories
- [ ] LinkedIn profile updated with new skills
- [ ] Personal blog with 5+ technical posts
- [ ] Network of 20+ DevOps professionals (LinkedIn/Twitter)
- [ ] Completed 1 end-to-end project (code → CI/CD → cloud deployment)

# Пример SMART целей для DevOps новичка

goal_1:
  specific: "Deploy a containerized web application to Kubernetes"
  measurable: "Complete deployment with health checks and monitoring"
  achievable: "Using minikube and basic Docker knowledge"
  relevant: "Core DevOps skill for modern deployments"
  time_bound: "Within 6 weeks"
  
goal_2:
  specific: "Automate infrastructure provisioning with Terraform"
  measurable: "Create reusable modules for VPC, EC2, and RDS"
  achievable: "Start with AWS free tier resources"
  relevant: "Infrastructure as Code is DevOps fundamental"
  time_bound: "Within 8 weeks"

goal_3:
  specific: "Build complete CI/CD pipeline"
  measurable: "Code commit → automated tests → deployment to staging → production"
  achievable: "Using GitHub Actions and existing knowledge"
  relevant: "Essential for DevOps engineering role"
  time_bound: "Within 10 weeks"

# Weekly Progress Review - Week XX

## Completed This Week ✅
- [ ] Finished Docker Compose tutorial
- [ ] Built multi-container application  
- [ ] Set up monitoring with Prometheus
- [ ] Created technical blog post about learning

## Challenges Faced 🚧
- Kubernetes networking was confusing
- Spent too much time on perfect configuration
- Struggled with Terraform state management

## Lessons Learned 📝
- Start simple, add complexity gradually
- Documentation is crucial for complex setups
- Community help is invaluable when stuck

## Next Week Goals 🎯
- [ ] Complete Kubernetes networking deep-dive
- [ ] Deploy application to cloud
- [ ] Write post-mortem of challenges faced
- [ ] Connect with 3 new DevOps professionals online

## Skill Level Updates
- Docker: 6/10 → 7/10
- Kubernetes: 3/10 → 5/10  
- Terraform: 2/10 → 4/10
- Linux: 7/10 → 7/10

## Time Investment
- Structured learning: 6 hours
- Hands-on practice: 8 hours
- Community engagement: 2 hours
- Total: 16 hours (target: 15-20 hours/week)