Udemy – Master Software Architecture System Design for Developers

Master System Design, Software Architectures, Microservices Architecture, AWS Services and Learn to Crack Interviews

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
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
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
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
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.

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