This course provides an in-depth understanding of software architecture and system design principles with a strong focus on scalability and performance. Participants will learn how to design robust, high-performing, and maintainable software systems capable of handling increasing user loads and complex business requirements. The curriculum covers architectural patterns, microservices, distributed systems, caching strategies, load balancing, database optimization, and performance tuning. Through hands-on projects and real-world case studies, learners will gain practical experience in designing scalable systems and solving performance bottlenecks, preparing them for advanced roles in software engineering and system architecture.
Module 1: Introduction to Software Architecture Fundamentals of software architecture Importance of scalability and performance Architectural patterns overview (monolithic, microservices, event-driven).
Module 2: System Design Principles SOLID principles and design best practices Layered architecture and component-based design Designing for maintainability and extensibility.
Module 3: Scalability Concepts Horizontal vs. vertical scaling Load balancing strategies Caching mechanisms (in-memory, distributed).
Module 4: Distributed Systems & Microservices Basics of distributed system design Microservices architecture patterns Communication protocols and service discovery.
Module 5: Database Design & Optimization SQL vs. NoSQL databases Indexing, query optimization, and shading Handling large datasets efficiently.
Module 6: Performance Tuning & Monitoring Identifying performance bottlenecks Profiling and benchmarking tools Monitoring with Prometheus, Graafian, and logging strategies.
Module 7: Cloud & Infrastructure Design Cloud architecture patterns (AWS, Azure, GCP) Designing for high availability and disaster recovery CI/CD pipelines and infrastructure as code.
Module 8: Security & Reliability Considerations Secure system design principles Fault tolerance and resilience patterns Data consistency and reliability strategies.
Module 9: Case Studies & Real-World Applications Analysis of scalable system architectures (e.g., Netflix, Uber, Amazon) Lessons learned from performance bottlenecks.
Module 10: Capstone Project Design and implement a scalable, high-performance system Apply learned concepts using real-world tools and technologies Presentation and review of project architecture.
Mobile: 9100348679
Email: coursedivine@gmail.com
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