AWS Learning Labs
Production-ready AWS implementations, infrastructure as code, and architectural patterns for cloud engineers.
π Overview
A comprehensive collection of AWS labs and projects demonstrating real-world cloud architecture, DevOps practices, and scalable solutions. From fundamental services to complex multi-service deployments.
π Lab Categories
π§ͺ Hands-On Experiments
- Service-specific implementations and proof-of-concepts
- Examples: S3 static hosting, Lambda functions, DynamoDB tables
π Learning Paths
- Structured progressions and certification preparation
- Examples: Solutions Architect labs, Security specialization, Networking deep dives
π Production Architectures
- Enterprise-grade patterns and operational excellence
- **Examplesβ¦
AWS Learning Labs
Production-ready AWS implementations, infrastructure as code, and architectural patterns for cloud engineers.
π Overview
A comprehensive collection of AWS labs and projects demonstrating real-world cloud architecture, DevOps practices, and scalable solutions. From fundamental services to complex multi-service deployments.
π Lab Categories
π§ͺ Hands-On Experiments
- Service-specific implementations and proof-of-concepts
- Examples: S3 static hosting, Lambda functions, DynamoDB tables
π Learning Paths
- Structured progressions and certification preparation
- Examples: Solutions Architect labs, Security specialization, Networking deep dives
π Production Architectures
- Enterprise-grade patterns and operational excellence
- Examples: Three-tier web apps, Data pipelines, Microservices
π Tech Stack
Infrastructure: Terraform, AWS CDK, CloudFormation Compute: EC2, Lambda, ECS, EKS Storage: S3, RDS, DynamoDB, EFS Networking: VPC, CloudFront, API Gateway DevOps: CodePipeline, CloudWatch, IAM
π Getting Started
Each lab are separated and includes:
- π Prerequisites and setup instructions
- π Architecture diagrams
- β‘ Deployment scripts
- π§ Cleanup procedures
Browse directories by using name to begin.