
Explore the era of the dark software factory, where shipping masks gaps in understanding and yields dark code. Uncover five AI coding levels and three-layer defenses to rebuild your SDLC.
Meet Raja, a freelance senior software engineer and architect, Google Developer Expert in Angular, Women Techmakers ambassador, and prolific content creator and instructor in web performance and software architecture.
Explore the evolution from monolithic to microservices and examine event-driven, serverless, and CQRS architectures. Learn how Conway's Law links organizational structure to architecture and compare these patterns' benefits and considerations.
Explore serverless takeaways: on-demand function as a service runs code via triggers, contrasting with containers and paas, and weighing benefits, limitations, costs, tooling, performance, and security.
Understand the difference between software architecture and system architecture, and how apps, databases, microservices, and cloud resources deploy, interact, and shape the IT environment.
Explore api architecture styles such as rest, graphql, soap, and grpc, highlighting statelessness, http methods, resource-based design, single-query data fetching, and protobuf.
Align your api design with the goal, data, and consumption to choose the right architectural style—rest, GraphQL, soap, or gRPC—for public, enterprise, or microservice needs.
Analyzes single versus multiple API calls for a dashboard with four KPIs, weighing flexibility, data performance, and parallelism across Django and Spring Boot environments, plus caching and microservices implications.
Balance simplicity with functionality and security, and avoid overcomplication in api design. Review best practices for versioning and compare uri, parameter, and header versioning strategies with their advantages and considerations.
Design a REST API for a to-do list, implementing endpoints to create tasks, mark them complete, and retrieve the list. Build an intuitive, consistent, scalable, and secure interface.
In this course, you’ll gain hands-on experience in building software systems that are scalable, secure, and resilient—using the latest industry techniques and patterns. This course is perfect for developers, engineers, and tech enthusiasts ready to advance their skills in software architecture, cloud computing, and DevOps.
Together, we’ll dive deep into architectural patterns, from monolithic systems to microservices and serverless architectures:
We'll examine how to design robust systems that handle complex demands.
Explore critical concepts such as CQRS (Command Query Responsibility Segregation),
and delve into Kubernetes, learning how to deploy, scale, and troubleshoot applications in cloud environments.
We’ll also tackle API design, covering key areas like versioning, error handling, and best practices, all essential for building high-performance applications.
We’ll also address security challenges, exploring memory-safe programming and security-by-design principles to safeguard your applications.
Real-world case studies—including in-depth looks at AWS and Linux kernel architecture—illustrate how these practices are applied at leading tech companies, giving you valuable insights to apply directly in your work. You'll leave this course equipped to design, deploy, and secure software systems using industry-leading strategies. This will empower you to advance in your career confidently and handle real-world software engineering challenges with skill and precision.
By the end, you’ll have a mastery of the essential skills needed to stand out in today’s fast-evolving tech landscape and confidently navigate complex architectural decisions.