Online Business Builder

From Beginner To Full Stack Hero

Category: Architecture & Project Management-A

  • System Design: Systems that Scale & Evolve

    System Design: Systems that Scale & Evolve

    🧠 System Design Bootcamp: Architect Scalable and Reliable Systems

    🧾 Course Description

    System Design is a critical skill for backend engineers, full stack developers, and tech leads. In “System Design Bootcamp”, you’ll learn how to architect scalable, fault-tolerant, and high-performance systems that power real-world applications like YouTube, Uber, WhatsApp, or Netflix.

    This course is structured around core design principles, component patterns, trade-offs, and interview-ready architectures. You’ll design end-to-end systems using tools like load balancers, databases, caching, queues, CDN, CAP theorem, and consistency models.

    Perfect for engineers preparing for interviews or architects designing real production systems.

    ✅ Key Benefits

    • 🧩 Design with Clarity — Break down complex problems into scalable components
    • 🌐 Real-World Readiness — Learn architectures behind well-known platforms
    • ⚖️ Balance Trade-offs — Understand consistency, availability, and performance
    • 🏗️ Deployable Patterns — Use queues, caching, replication, and sharding effectively
    • 🧪 Interview-Ready — Practice whiteboard sessions and system walkthroughs

    🎯 Pre-requisites

    • Strong knowledge of data structures & algorithms
    • Working experience with web apps or backend systems
    • Familiarity with network basics, databases, and APIs
    • No prior experience with distributed systems required

    📚 Curriculum Breakdown

    📘 Module 1: Foundations of System Design

    • What is system design?
    • Types of systems: OLTP vs OLAP, synchronous vs async
    • Requirements gathering (functional & non-functional)

    🔧 Module 2: Core Building Blocks

    • Load balancers, reverse proxies
    • Databases (SQL vs NoSQL), sharding
    • Caching strategies (Redis, Memcached)
    • CDNs, rate limiting, API gateway

    📶 Module 3: Scaling Techniques

    • Vertical vs horizontal scaling
    • Database replication & partitioning
    • Consistent hashing and data distribution
    • Auto-scaling and stateless architecture

    🔁 Module 4: Communication and Coordination

    • REST vs gRPC vs message queues
    • Message brokers: Kafka, RabbitMQ
    • Event-driven architecture and pub-sub models

    🔐 Module 5: Reliability, Fault Tolerance, and Security

    • CAP theorem, eventual consistency
    • Failover, retries, circuit breakers
    • Authentication and authorization design
    • Data security and rate limiting

    🛠️ Module 6: Monitoring and Maintenance

    • Observability: metrics, logs, tracing
    • Health checks and alerting
    • Blue-green and canary deployments

    🧪 Module 7: System Design Patterns

    • Microservices vs monolith vs SOA
    • CQRS, Saga pattern, database-per-service
    • API versioning and backward compatibility

    🚦 Module 8: Case Studies & Final Projects

    • Design real-world systems like:
      • URL shortener (Bitly)
      • Ride-sharing service (Uber backend)
      • Chat system (WhatsApp)
      • Video streaming platform (YouTube/Netflix)
    • Present architecture + justify decisions

    ⏱️ Estimated Duration

    Daily Study TimeEstimated DurationIdeal For
    2 hours/day18–20 days (~3 weeks)Deep understanding with practice
    4 hours/day9–10 days (~1.5 weeks)Balanced case studies and theory
    6 hours/day5–6 days (bootcamp)Fast-track, intensive learners

    🎓 Outcome

    By the end of System Design Bootcamp, you will:

    • Design scalable and maintainable systems using real-world techniques
    • Explain your architectural decisions in interviews and discussions
    • Balance performance, consistency, and cost
    • Be ready for system design interviews, tech lead roles, or architect-level work
  • Full Stack Architecture: The Blueprint behind the App

    Full Stack Architecture: The Blueprint behind the App

    🏗️ Full Stack Architecture: Design Scalable, Maintainable Applications from Frontend to Backend

    🧾 Course Description

    Full Stack Architecture is about more than just coding both frontend and backend — it’s about designing software systems that are scalable, modular, secure, and maintainable. In “Full Stack Architecture”, you’ll learn how to plan, build, and document full-stack systems using modern web technologies (like React, Node.js, Spring Boot, MongoDB, and PostgreSQL) with clean separation of concerns, API design, data flow, deployment pipelines, and cloud integration.

    This course bridges the gap between developer and architect by teaching you how to think holistically — managing components like authentication, caching, state, APIs, databases, deployment, and observability.

    Perfect for senior developers, tech leads, and aspiring architects, this course turns your development experience into architecture expertise.

    ✅ Key Benefits

    • 🧱 End-to-End System Design — Learn how components interact from UI to DB
    • 📦 Modular Thinking — Design scalable, testable, and maintainable layers
    • 🔐 Secure & Performant — Handle auth, rate limiting, logging, and monitoring
    • 🚀 CI/CD & Cloud Ready — Plan pipelines and deployments from day one
    • 📚 Team-Ready Docs — Use diagrams, documentation, and handoff strategies

    🎯 Pre-requisites

    • Solid knowledge of frontend (React/Angular/Vue) and backend (Node.js, Java, Python) frameworks
    • Experience with REST APIs, databases, and basic DevOps practices
    • Optional: Exposure to Git, Docker, CI/CD tools, or cloud platforms (AWS/GCP/Azure)

    📚 Curriculum Breakdown

    📘 Module 1: Introduction to Full Stack Architecture

    • What is full stack architecture?
    • Layers of a modern full-stack app
    • Monolith vs microservices vs hybrid architectures

    🧠 Module 2: Frontend Architecture

    • Component structure and state management
    • API integration strategies
    • Optimizing for performance, accessibility, and SEO
    • CI for frontend builds

    🔗 Module 3: Backend Architecture

    • Layered design (Controller → Service → DAO)
    • REST vs GraphQL
    • Statelessness, error handling, validation
    • Microservice readiness

    🛢️ Module 4: Data Layer & Persistence

    • Choosing between SQL vs NoSQL
    • ORM usage, schema design, migrations
    • Connection pooling, query optimization
    • Caching with Redis/Memcached

    🔐 Module 5: Security & Auth Architecture

    • JWT, OAuth2, sessions vs tokens
    • Securing APIs and frontend routes
    • Data sanitization and encryption
    • Rate limiting and CORS

    ⚙️ Module 6: CI/CD & Deployment Architecture

    • Branching models and GitOps
    • Dockerizing apps and managing environments
    • CI pipelines for build → test → deploy
    • Deploying to cloud (Render, Railway, AWS, Vercel, Netlify)

    📈 Module 7: Monitoring & Observability

    • Logging (Winston, ELK), tracing, health checks
    • Uptime monitoring, error alerts
    • Integration with tools like Sentry, Prometheus

    🧪 Module 8: Final Architecture Project

    • Design & Document a Full Stack System:
      • Frontend (React/Vue)
      • Backend API (Node.js/Java)
      • DB layer (PostgreSQL/MongoDB)
      • Auth + API Gateway + CI/CD
      • Deployment to cloud

    ⏱️ Estimated Duration

    Daily Study TimeEstimated DurationIdeal For
    2 hours/day16–18 days (~3 weeks)Great for part-time tech professionals
    4 hours/day8–9 days (~1.5 weeks)Balanced learning with project focus
    6 hours/day5–6 days (bootcamp)Intensive system design & labs

    🎓 Outcome

    By the end of Full Stack Architecture, you will:

    • Design scalable, production-ready full-stack applications
    • Choose the right components and patterns for each layer
    • Handle CI/CD pipelines, security, monitoring, and deployments
    • Confidently take on roles like Technical Architect, Full Stack Lead, or Solution Engineer