HATEOAS In API Design: Improving Discoverability And Self-Description
HATEOAS makes APIs more flexible & self-explanatory by enabling clients to dynamically explore an API through hypermedia links, improving usability & scalability.
⚛ JavaScript • Typescript • React • Node.js • AWS 💻 Full Stack Software Engineer 💭 The mind is like a parachute, it only works if you open it.
HATEOAS makes APIs more flexible & self-explanatory by enabling clients to dynamically explore an API through hypermedia links, improving usability & scalability.
The Pipeline Pattern organizes data processing into stages for modularity, reusability, scalability & extensibility. Ideal for ETL ops, middleware chains & stream processing. Implement in Node.js with TypeScript for efficient data transformation.
Traditional Repository patterns can become cumbersome with complex query logic. Introducing Query Objects: encapsulating database query logic into dedicated classes or functions, simplifying code, improving testability & maintainability.
God Objects are classes that handle too many responsibilities, violating OOP principles & leading to tightly coupled, difficult-to-maintain code. Refactor into smaller, specialized classes for a modular, extensible system.
Developers can share resources or code across several Lambda functions with AWS Lambda Layers. Use TypeScript & AWS Cloud Development Kit (CDK) for efficient layer management, reuse code, cut down on duplication & make upgrades easier.
Provisioned Mode: manual capacity control for predictable workloads. Auto Scaling Mode: automatic scaling for variable traffic patterns.
Feature flags improve API stability by decoupling feature releases from code deployment, allowing for gradual rollouts, quick rollbacks & reduced downtime.
React's Composition Pattern enables modular, reusable UIs by joining discrete parts together, improving scalability, readability & reuse.
Optimize GraphQL performance with query minimization, batching, caching & subscriptions to maintain a scalable & efficient API for large apps.
Optimize React performance by reducing unnecessary re-renders with memoization, useCallback, useMemo, and splitting large components into smaller ones.
Database sharding divides large databases into smaller, easier-to-manage segments called "shards" to improve scalability & throughput.
Improve code review efficiency with clear guidelines, small PRs, prioritized reviews & automated testing. Foster a culture of constructive feedback & rotate reviewers to reduce bottlenecks & increase collaboration.