Modern Software Engineering: AI, Cloud, Design & Security

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 the cqrs architectural pattern with a command side and a query side, using separate databases and event-driven synchronization to model time and history.

Clarify what serverless means, focusing on removing server concerns from the application owner. Examine terminology, benefits, drawbacks, and how it differs from other cloud computing approaches.

Explore autoscaling, load balancing, and serverless architecture—backend as a service and function as a service—and learn about startup latency, cold starts, warm starts, and vendor lock-in.

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.

Explore how a software architecture evolves from prescriptive architecture before implementation to descriptive, as-built architecture after implementation, comparing guidelines and patterns to the real system.

Examine a Cloud Mapper generated AWS environment diagram showing interconnections among EC2, RDS, S3, VPCs, Lambda, CloudFront, IAM, and more to illustrate scalable, secure cloud architecture.

evaluate context-specific trade-offs that shape software architecture, balancing monolith complexity with microservices to sustain productivity, scalability, and evolution over time.

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.

Explore API architecture styles and their takeaways for modern software engineering. Understand how different styles influence design decisions and interoperability in cloud and security contexts.

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.

Examine what makes a good api by emphasizing simplicity, intuitive design, consistency, and security, with modular, scalable, and stateless architecture for efficient data handling.

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.

Explore path-based, parameter, and header API versioning with real-world examples, benefits, drawbacks, and best practices for backward compatibility and clear documentation.

Apply API error handling best practices to craft clear, structured error messages and protect sensitive backend details. Maintain thorough documentation, robust monitoring, and user-friendly errors to improve reliability.

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.

See API design as an art form shaping the modern digital ecosystem. Cultivate empathy for developers and think like an architect from the user's perspective.