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Module 2: AWS Core Services

Learn the essential AWS services that power millions of applications worldwide

🌍 AWS Global Infrastructure

AWS (Amazon Web Services) is like a massive global network of data centers. Imagine having warehouses full of computers all over the world that you can rent! AWS has data centers in 30+ geographic regions, each with multiple availability zones for redundancy.

Key Concepts

Region: Geographic area (e.g., US East, Europe, Asia Pacific)

Availability Zone (AZ): Isolated data center within a region

Edge Location: CDN endpoints for faster content delivery

🖥️ EC2 - Elastic Compute Cloud

EC2 is like renting a computer in the cloud! Instead of buying physical servers, you launch virtual servers (called instances) in minutes. Need more power? Upgrade. Don't need it anymore? Delete it. Pay only for what you use!

Key Features

Multiple Instance Types

Choose CPU, memory, storage based on your needs

Auto Scaling

Automatically add/remove instances based on demand

Load Balancing

Distribute traffic across multiple instances

Multiple OS Options

Linux, Windows, or custom AMIs

💡 Common Use Cases:

  • • Web servers and applications
  • • Development and test environments
  • • Big data processing
  • • Machine learning training

🗄️ S3 - Simple Storage Service

S3 is like an infinite hard drive in the cloud! Store any amount of data - photos, videos, backups, logs, anything. It's incredibly durable (99.999999999% durability) and accessible from anywhere. Think of it as Dropbox, but for applications!

Key Concepts

Bucket: Container for objects (like a folder)

Object: File you store (up to 5TB each)

Storage Classes: Different tiers for different access patterns

Storage Classes

S3 Standard: Frequently accessed data (websites, apps)

S3 Intelligent-Tiering: Automatic cost optimization

S3 Glacier: Long-term archival (cheap but slow retrieval)

🗃️ RDS - Relational Database Service

RDS is managed database service - AWS handles backups, patches, scaling, and maintenance while you focus on your application. Like having a database administrator without hiring one!

Supported Databases

  • • MySQL
  • • PostgreSQL
  • • MariaDB
  • • Oracle
  • • SQL Server
  • • Amazon Aurora

Key Features

  • • Automated backups
  • • Multi-AZ deployment
  • • Read replicas
  • • Automatic scaling
  • • Monitoring included

🌐 VPC - Virtual Private Cloud

VPC is your own private network in AWS cloud. Like having your own office building with controlled access - you decide who can enter, which rooms connect, and how data flows. Essential for security!

Subnets

Divide your VPC into smaller networks (public for web servers, private for databases)

Security Groups

Virtual firewalls controlling inbound/outbound traffic

Internet Gateway

Allows communication between VPC and internet

🔐 IAM - Identity and Access Management

IAM controls who can access what in your AWS account. Like a security system with ID badges - you create users, assign permissions, and ensure only authorized people can access resources. Critical for security!

Core Components

Users: Individual people or applications

Groups: Collection of users with same permissions

Roles: Temporary permissions for services

Policies: JSON documents defining permissions

🔒 Security Best Practices:

  • • Enable MFA (Multi-Factor Authentication)
  • • Follow principle of least privilege
  • • Use roles instead of access keys when possible
  • • Rotate credentials regularly
  • • Never share root account credentials

⚡ Lambda - Serverless Computing

Lambda lets you run code without managing servers! Upload your code, and AWS runs it when triggered. Like having a robot that wakes up, does a task, then goes back to sleep. You only pay for the milliseconds your code runs - perfect for event-driven applications!

How It Works

1. Upload Code: Write function in Python, Node.js, Java, etc.

2. Set Trigger: API call, file upload, schedule, etc.

3. AWS Runs It: Automatically scales, no server management

4. Pay Per Use: Charged only for execution time

💡 Common Use Cases:

  • • Image/video processing when uploaded
  • • Real-time file processing
  • • API backends
  • • Scheduled tasks (cron jobs)
  • • Data transformation

📚 Learning Resources

Hands-on Learning

🎯 What's Next?

Excellent! You now understand AWS core services. Next, we'll learn Docker and containerization - a revolutionary way to package and deploy applications. Get ready to containerize your first app!