
Introduction to Software Architecture
Learn what software architecture means, why it matters, and how it impacts system scalability, performance, and security. By the end, you’ll understand the role architecture plays in every successful project.
Key Concepts in Software Architecture
Explore the foundational principles of software architecture including abstraction, modularity, and trade-offs. This lecture sets the stage for deeper architectural discussions throughout the course.
Role & Responsibilities of a Software Architect
Understand the responsibilities of an architect, from collaborating with stakeholders to making technical decisions and ensuring system alignment with business goals.
C4 Model Introduction
An overview of the C4 model and its value in simplifying and standardizing software architecture documentation.
C4 Context Diagrams
Learn how to create context diagrams that show system boundaries and interactions with external users and systems.
C4 Container Diagrams
Understand container diagrams that describe applications, databases, and how components interact at a high level.
C4 Component Diagrams
Dive into component diagrams, focusing on the internals of each container, showing logical groupings and dependencies.
C4 Code Diagrams – Part 1
Explore code-level diagrams that help developers connect architecture with implementation details.
C4 Code Diagrams – Part 2
Continue with detailed code diagrams, highlighting classes, methods, and interactions.
C4 Code Diagrams – Part 3
Final part of code diagrams with practical tips for maintainable documentation.
Benefits of the C4 Model
Learn the key advantages of using the C4 model: clarity, stakeholder communication, and reduced ambiguity.
Practical Use of C4 Model
Discover how teams apply the C4 model in real projects with best practices and common pitfalls.
Performance vs. Efficiency
Define performance and efficiency, and learn how to balance speed with optimal resource usage in system design.
Common Performance Bottlenecks
Identify bottlenecks such as CPU overload, memory leaks, disk I/O, and network latency with practical examples.
CPU and Memory Latency
Learn about latency in CPU scheduling, process stacks, and memory coherence, and how to measure and optimize them.
Disk I/O and Network Latency
Understand disk access delays, binary conversions, SSL handshake time, and network round-trip latency.
Concurrency, Locking, and Deadlocks
Explore concurrency issues, locking mechanisms, and deadlocks with strategies to avoid system stalls.
Caching Strategies
Learn static vs. dynamic caching, local vs. shared caches, and when to apply each to improve performance.
Queues and Resource Contention
Understand queues at the OS, process, and network levels, including monitoring and mitigation techniques.
Scalability: Vertical vs. Horizontal
Compare vertical and horizontal scaling with examples, advantages, and limitations.
Load Balancing & Session Management
Learn how load balancers distribute requests, manage sessions, and prevent single points of failure.
Microservices and Modularity
Discover how modularity and microservices enable scalability and easier maintenance.
Maintainability, CI/CD, and Code Quality
Explore modular design, version control, automated testing, and code reviews to improve long-term maintainability.
Reliability and Fault Tolerance Overview
Learn redundancy, replication, failover, monitoring, and chaos testing strategies to build fault-tolerant systems.
Security: Authentication and Authorization
Understand user identity verification, role-based access, and principles of least privilege.
Security: Encryption, Audit Logging, and Compliance
Explore data encryption, audit logs, monitoring, and regulatory standards like GDPR, PCI-DSS, and HIPAA.
Reusability: Loose Coupling & High Cohesion
Learn why loosely coupled and highly cohesive systems are easier to extend and maintain.
Modularity: APIs, Libraries & Standards
Discover best practices for modular design, reusable APIs, component libraries, and coding standards.
Modern software systems must be scalable, reliable, secure, and maintainable—yet designing them requires more than picking the right tech stack. It requires a systematic approach to architecture.
In this course, Modern Software Architecture, you’ll learn how to think and work like a software architect. We’ll begin with a clear understanding of what software architecture is and the critical responsibilities of an architect—both technical (system structure, roadmaps, quality attributes) and collaborative (bridging business and engineering, communicating trade-offs, guiding developers).
You will then master the C4 model for communicating architecture effectively across different levels of abstraction—from big-picture system context down to components and code.
The technical pillars of modern architecture are covered through dedicated modules:
Performance and Efficiency – resource optimization, throughput, and bottleneck management.
Scalability and Maintainability – scaling strategies, microservices, caching/CDNs, plus practices like CI/CD, modular design, and refactoring.
Reliability and Fault Tolerance – redundancy, replication, failover, monitoring, and chaos testing to ensure systems survive real-world failures.
Security and Compliance – designing for protection and regulatory alignment from the ground up.
Reusability and Modularity – building shared, consistent components that accelerate development and reduce technical debt.
What you’ll learn
Explain what software architecture is and why it matters.
Define the key responsibilities of a software architect—both technical and collaborative.
Communicate designs clearly using the C4 model (Context, Container, Component, Code).
Optimize performance and efficiency through resource management, throughput tuning, and bottleneck resolution.
Apply scalability strategies: horizontal vs. vertical scaling, load balancing, stateless/stateful design, caching, CDNs, and microservices.
Improve maintainability with modular design, documentation, CI/CD, version control, and refactoring practices.
Design for reliability and fault tolerance using redundancy, replication, failover, monitoring, and chaos testing.
Implement security and compliance measures including encryption, access control, identity management, and regulatory alignment.
Build reusable, modular components that accelerate development and reduce long-term technical debt.
By the end of this course, you’ll have a practical, end-to-end understanding of software architecture foundation, grounded in real-world examples and best practices. You’ll be able to design, communicate, and evolve systems that are resilient, efficient, and future-ready—whether deployed on cloud platforms or on-premise.