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System Design and Application Architecture

Level 1: Beginner – Foundations of System Design and Application Architecture

  1. Introduction to System Design
    • Importance of System Design
    • Key Principles and Terminology
    • Types of Systems (Monolithic, Distributed, etc.)
  2. Basic Concepts in Application Architecture
    • Understanding Client-Server Model
    • Three-tier and N-tier Architectures
    • Introduction to Microservices and SOA (Service-Oriented Architecture)
  3. Data Structures and Algorithms for System Design
    • Essential Data Structures
    • Fundamental Algorithms (Sorting, Searching, etc.)
    • How to Choose the Right Data Structure
  4. Networking Basics
    • IP Addresses, Ports, and Protocols
    • HTTP/HTTPS and RESTful APIs
    • Basics of Web Sockets and Real-Time Communication
  5. Databases Basics
    • Relational vs. Non-Relational Databases
    • Database Design Fundamentals
    • SQL Basics and NoSQL Overview
  6. Scalability Basics
    • What is Scalability? (Vertical vs. Horizontal)
    • Load Balancing Basics
    • Introduction to Caching

Level 2: Intermediate – Expanding System Design Knowledge

  1. Advanced Application Architecture
    • Microservices vs. Monolithic Applications
    • Event-Driven Architectures
    • Serverless Architectures
  2. Designing RESTful APIs
    • Principles of REST
    • CRUD Operations and Status Codes
    • Authentication and Authorization (OAuth, JWT)
  3. Data Consistency and Integrity
    • ACID Properties
    • CAP Theorem (Consistency, Availability, Partition Tolerance)
    • Eventual Consistency Models
  4. Intermediate Database Concepts
    • Database Indexing and Optimization
    • Data Partitioning and Sharding
    • Database Replication and Failover
  5. Caching Strategies
    • Types of Caching (In-memory, Distributed, etc.)
    • Cache Invalidation and Expiry
    • Tools (Redis, Memcached)
  6. Concurrency and Parallelism
    • Threading and Async Programming
    • Locks and Synchronization Mechanisms
    • Multi-threaded Applications and Race Conditions
  7. Messaging and Queueing Systems
    • Introduction to Message Queues (Kafka, RabbitMQ)
    • Asynchronous Communication
    • Pub/Sub Model

Level 3: Advanced – Complex Architectures and High Scalability

  1. Microservices Deep Dive
    • Service Discovery and Registry
    • API Gateway and BFF (Backend-for-Frontend)
    • Circuit Breakers and Resilience Patterns
  2. Advanced API Design
    • GraphQL vs. REST APIs
    • Designing for Extensibility and Scalability
    • API Versioning and Documentation
  3. Distributed Systems
    • Fundamentals of Distributed Computing
    • Distributed Transactions and Consensus Algorithms
    • Challenges (Data Consistency, Fault Tolerance, etc.)
  4. Security in System Design
    • Authentication and Authorization at Scale
    • Secure API Design and Data Encryption
    • Common Security Threats (XSS, CSRF, SQL Injection)
  5. Advanced Data Processing
    • ETL (Extract, Transform, Load) Pipelines
    • Big Data Concepts and Processing Tools (Hadoop, Spark)
    • Data Warehousing and Data Lakes
  6. Monitoring and Observability
    • Logging, Metrics, and Tracing
    • Incident Response and Root Cause Analysis
    • Tools for Monitoring (Prometheus, ELK Stack, Grafana)
  7. Scaling Strategies
    • Autoscaling and Load Balancers
    • Edge Computing and Content Delivery Networks (CDNs)
    • Geographic Distribution and Multi-region Deployments

Level 4: Senior – Expertise in System Design and Architectural Leadership

  1. Designing for High Availability and Reliability
    • Principles of High Availability
    • Disaster Recovery and Backup Strategies
    • Chaos Engineering and Failure Injection Testing
  2. High-performance Data Architecture
    • Data Partitioning for Scalability
    • Real-Time Data Processing Architectures
    • Stream Processing Systems (Apache Kafka, Apache Flink)
  3. Event-Driven and Reactive Architectures
    • Event Sourcing and CQRS (Command Query Responsibility Segregation)
    • Reactive Manifesto and Reactive Programming
    • Tools and Frameworks for Reactive Systems (Akka, Reactor)
  4. Advanced Security Architecture
    • Zero Trust Architecture
    • Advanced Encryption and Key Management
    • Security Audits and Compliance (GDPR, HIPAA)
  5. Architectural Trade-offs and Decision Making
    • Evaluating Trade-offs (Cost, Performance, Reliability)
    • Use Case Analysis and Prototyping
    • Documentation of Architectural Decisions (ADR)
  6. Building Enterprise-level Architectures
    • Governance and Standards in Enterprise Systems
    • Interfacing with Legacy Systems
    • Domain-Driven Design (DDD) in Enterprise Applications
  7. Leadership in System Design
    • Leading Architectural Discussions and Reviews
    • Mentoring and Developing Architectural Skills in Teams
    • Creating Roadmaps for System Evolution and Scaling

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