Design & Architecture – 100+ Lab Exercises (Basic, Intermediate, Advanced)

🔰 Basic Level (30+ Exercises)

 

Goal: Build foundational knowledge in software design principles, basic architectural patterns, and system components.

 

Software Design Fundamentals

  • Understand SOLID principles and apply in small projects.

  • Practice designing modular, reusable components.

  • Study common design patterns: Singleton, Factory, Observer, Strategy.

  • Implement UML diagrams: Class diagrams, Sequence diagrams.

  • Explore basics of API design and RESTful principles.

System Components & Communication

  • Design simple client-server architecture.

  • Practice designing CRUD operations with layered architecture.

  • Understand synchronous vs asynchronous communication.

  • Model data flow diagrams for sample applications.

  • Study database design fundamentals and normalization.

Scalability Basics

  • Learn about vertical vs horizontal scaling.

  • Practice caching strategies with simple examples (in-memory cache).

  • Explore load balancing concepts and create lab simulations.

 

🚀 Intermediate Level (40+ Exercises)

 

Goal: Advance your skills in designing complex systems, distributed architectures, and performance optimization.

 

Architectural Patterns

  • Implement Microservices architecture for a sample system.

  • Design event-driven systems and use message queues (Kafka, RabbitMQ).

  • Practice CQRS and Event Sourcing patterns with examples.

  • Explore API gateway and service mesh concepts.

Data Management & Storage

  • Design systems with SQL and NoSQL databases; understand trade-offs.

  • Implement data partitioning (sharding) and replication strategies.

  • Explore eventual consistency vs strong consistency scenarios.

Performance & Reliability

  • Design caching layers using Redis or Memcached.

  • Implement rate limiting and circuit breaker patterns.

  • Practice designing fault-tolerant systems with retries and fallback mechanisms.

  • Simulate load balancing with DNS, hardware, and software solutions.

Security & Compliance

  • Implement authentication & authorization flows (OAuth2, JWT).

  • Design systems adhering to GDPR and PCI compliance basics.

  • Explore secure data transmission (TLS/SSL).

 

🧠 Advanced Level (40+ Exercises)

 

Goal: Master enterprise-grade system design, cloud-native architecture, and design for scale and resilience.

 

Large-Scale System Design

  • Design scalable social media platform with real-time features.

  • Architect global distributed systems with multi-region support.

  • Practice CAP theorem applications and trade-offs in real scenarios.

Cloud & DevOps Integration

  • Design cloud-native applications using AWS, Azure, or GCP services.

  • Architect CI/CD pipelines for automated deployments.

  • Implement Infrastructure as Code (Terraform, CloudFormation).

Advanced Patterns & Practices

  • Use Domain-Driven Design (DDD) for complex business domains.

  • Implement Hexagonal Architecture and Clean Architecture.

  • Design API versioning and backward compatibility strategies.

Monitoring & Observability

  • Design logging, metrics, and tracing systems (ELK stack, Prometheus, Jaeger).

  • Implement health checks and auto-scaling policies.

  • Simulate disaster recovery and business continuity plans.

Leadership & Collaboration

  • Lead design review sessions with architecture trade-off discussions.

  • Create architectural decision records (ADRs).

  • Mentor junior engineers in design best practices.

 

Capstone Projects

 

  • Architect an e-commerce platform with microservices, payment gateways, and inventory management.

  • Design a video streaming service with CDN integration and adaptive bitrate streaming.

  • Build a real-time collaborative document editor system.

  • Create a resilient multi-tenant SaaS platform with tenant isolation and security.

 

✅ Recommended Tools & Frameworks

 

  • UML tools: Lucidchart, Visual Paradigm

  • API design: Swagger, Postman

  • Message brokers: Kafka, RabbitMQ

  • Cloud platforms: AWS, Azure, GCP

  • Monitoring stacks: ELK, Prometheus, Grafana

  • Infrastructure as Code: Terraform, Ansible

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