Master Software Architecture & System Design for Developers | Udemy

Are you ready to advance your career from a developer to a software architect — and transition from coding applications to architecting large-scale, high-performance systems?

This course provides a complete journey — from mastering the fundamentals of software architecture and system design to leveraging AWS cloud-native services in real-world scenarios.

This hands-on, in-depth course equips you with the technical skills, architectural mindset, and cloud expertise needed to design scalable, resilient, and cost-effective systems that meet modern enterprise needs.

What You’ll Learn:

Roles and Responsibilities:

• Understand the key differences between Software Architect vs. Solutions Architect.
• Explore Software Architecture vs. System Design.
• Learn how to build and maintain an Architectural Vision.

AWS Cloud-Native Services:

• Amazon IAM: User creation, role policies, and enabling MFA.
• Cost Management: AWS Pricing Calculator, Budgets, and Free Tier usage.
• Amazon EC2: Instance Types, EBS, Pricing Models (On-Demand, Reserved, Dedicated, and Savings Plans).
• Storage Services: Amazon S3, S3 Storage Classes, Access Policies; EBS Volumes; and Amazon EFS.
• Networking: Amazon VPC, Subnets, IGWs, and Availability Zones.
• Load Balancing: ALB, NLB, and ELB with EC2 integration and cost analysis.
• Databases: Amazon RDS (MySQL, Aurora), DynamoDB setup, and real EC2 connections.
• Serverless: Build AWS Lambda functions with S3 triggers and CloudWatch logging.
• API Gateway: Create and manage REST APIs and explore integration options.

Important System Design Concepts:

• Stateful vs. Stateless Architectures
• Load Balancer vs. Reverse Proxy
• Fault Tolerance, Redundancy, Replication
• Failure Detection & Recovery, Rollback vs. Roll Forward
• Retry Mechanism, Timeouts, Health Checks, Fallback Mechanism
• Rate Limiting
• Database Redundancy, Partitioning, Sharding
• Database Consistency Models, Consistent Hashing

Scalability:

• Vertical vs. Horizontal Scaling
• Auto Scaling with Amazon EC2 and ELB
• AWS Application Auto Scaling
• Relational Database Scalability: Challenges and Solutions
• Scalability with Amazon RDS, Aurora, and DynamoDB
• Best Practices for Scalable Design

Reliability:

• Purpose, Benefits, and Trade-Offs
• Measuring MTBF (Mean Time Between Failures) and MTTF (Mean Time to Failure)
• Building a Business Continuity Plan (BCP) and Disaster Recovery Strategy
• Ensuring Network Reliability and Security
• Reliability with Amazon EC2, EBS, S3, ELB, RDS, DynamoDB, Aurora, and Route 53

Availability:

• Impacts and Challenges of Availability
• Response Time Optimization
• Active-Active vs. Active-Passive Clustering
• Availability Implementation Using:
  • Amazon EC2, Amazon S3
  • Amazon RDS, Amazon Aurora
  • Amazon DynamoDB
  • Globally Distributed Applications
    • Multi-Region Deployment
    • CDN via Amazon CloudFront

Performance:

• Understanding Metrics: Speed, Latency, Throughput, Bandwidth
• Using CloudWatch Metrics for Monitoring
• Concurrency vs. Parallelism
• Load Shedding, Request Batching
• Lazy Loading vs. Eager Loading
• Deployment Considerations
• AWS-Specific Performance Tuning:
  • EC2 Placement Groups
  • Millisecond Latency Techniques

Security:

• Authentication vs Authorization
• Multi-Factor Authentication (MFA), Single Sign-On (SSO)
• Role-Based Access Control (RBAC)
• AWS IAM Policies – Identity, Resource, and Session-based
• Shared Responsibility Model
• JWT (JSON Web Tokens) – Creation and Validation
• Amazon Cognito, OAuth 2.0 vs OpenID Connect (OIDC)
• TLS Handshake Complete Process, VPN vs SSH
• Asymmetric vs Symmetric Encryption
• AWS KMS, Secrets Manager

Communication Protocols & Messaging:

• HTTP Versions, REST, gRPC, GraphQL
• AMQP, RabbitMQ, Apache Kafka
• Event-Driven & Data Streaming Systems
• Amazon SQS, Amazon SNS, Amazon EventBridge
• WebSockets
• Includes Node.js practical coding practices for integration

Architectural Styles & Patterns:

• Client-Server, Layered (n-tier), Component-Based, Monolithic, Service-Oriented Architecture (SOA),
• Microservices Architecture
• Domain-Driven Design (DDD)
  • Microservices Core Concepts:
    • Service Discovery, Load Balancer, API Gateway
    • Service Mesh, Configuration Server, Database Per Service
    • Circuit Breaker Pattern, SAGA Pattern, CQRS, Event Sourcing
    • Choreography Pattern, Aggregator Pattern, Backend for Frontend (BFF)
  • Comparison:
    • Monolith vs Microservices
    • SOA vs Microservices
  • Migration Techniques:
    • Decomposition Strategies
    • Strangler Pattern
• Serverless Architecture
  • Design Patterns and AWS Compute Services

By the end of this course, you’ll be equipped with the expertise to lead architecture decisions, design scalable cloud solutions, and deliver high-performing software systems for enterprise needs.