Pattern

API Design: Principles, Practices, and Patterns A well designed API helps developers learn, integrate, and scale. It reduces surprises, speeds delivery, and makes maintenance easier for teams and users. A thoughtful contract between client and server grows with the product and becomes a shared source of truth. Principles to guide design include clarity, consistency, and stability. Clarity means resources and actions have clear names and roles. Consistency means patterns are repeated across endpoints, so developers can reason by analogy. Stability means the contract should avoid breaking changes and communicate deprecations with timelines and examples. It helps to build on standards—HTTP semantics, meaningful status codes, and a well defined contract in a format like OpenAPI. When in doubt, favor simplicity over cleverness and prefer predictable behavior over clever hacks. ...

Microservices Architecture: Design for Scale Moving from a monolith to microservices helps teams ship faster and scale operations. But to truly gain scale, you must design services with clear boundaries, reliable communication, and strong operations. This guide shares practical ideas you can apply today. Why scale matters When services are small and autonomous, teams update one part without risking others. Scale also means handling traffic spikes, growing data, and occasional failures without breaking the whole system. Clear boundaries plus resilient connections keep performance steady as demand grows. ...

Serverless Architectures: Pros, Cons, and Use Cases Serverless architectures shift the burden of servers from developers to cloud providers. You still build code, but capacity planning, patching, and OS maintenance are handled by the platform. This can speed up delivery and reduce operations for apps with variable load. Pros Lower operational effort and pay-for-use pricing. Automatic scaling with demand, often without manual tuning. Built-in reliability and managed security layers. Faster time to market; teams can ship features without managing servers. Good fit for event-driven and microservice styles. Cons ...