API Design Mistakes That Cost Engineering Teams Months

Description

API Design Best Practices Explained | REST, Scaling, Versioning & GraphQL Almost every modern application runs on APIs. Web apps, mobile apps, cloud systems, and even machine learning services all communicate through APIs. But poorly designed APIs create slow systems, breaking changes, and scaling nightmares. In this video, we build the foundation of API design best practices — focusing on clean structure, predictable behavior, scalability, and long-term maintainability. You’ll learn how to design APIs that are simple, stable, and production-ready. Because great systems start with great interfaces. 🔁 Previous Video Brief In the previous module, we completed ML, Deep Learning & Generative AI — including model training, deployment, monitoring, and MLOps practices. Now we shift focus to APIs, the backbone that connects applications, services, and ML systems in real-world architectures. 🚀 In This Video, You’ll Learn ✔ Why API design matters for scalability ✔ APIs as long-term contracts ✔ REST fundamentals and HTTP methods ✔ Clean request & response design ✔ Proper HTTP status codes ✔ Input validation and error handling ✔ API versioning strategies ✔ Pagination, filtering, and caching ✔ Scalability techniques (rate limiting, async tasks) ✔ REST vs GraphQL vs gRPC comparison ✔ Common API design mistakes ✔ Real-world mindset for stable APIs By the end of this session, you’ll know how to design APIs that remain reliable even as systems grow. 🔜 Next Video Brief In the next video, we move into Microservices Architecture, where you’ll learn how large systems are split into independent services and how they communicate using APIs, messaging, and service-to-service patterns. 🎯 Who This Video Is For • Backend developers • Python & web engineers • ML engineers deploying services • System design interview candidates • Anyone building scalable applications Time Stamps : 00:00 : Introduction 01:53 : Why Good API Design Matters 02:27 : Rest API Fundamentals 03:01 : Request & Response Design 03:32 : Validation & Error Handling 04:00 : API Versioning 04:44 : Scalability Patterns 05:11 : REST Vs GRAPHQL Vs GRPC 05:42 : Common Errors & Facts 06:10 : Interview Questions 06:30 : Outro Full Playlist : https://www.youtube.com/playlist?list=PLCwAH-yEnafgkVF4TzUcjr6pC6GqXLTc7 ABOUT SPLL This video is part of the Python Full Course 2026 by SP Learning Labs (SPLL) — a professional, structured learning path designed to help you master Python from fundamentals to advanced concepts with real-world clarity. Focused on: ✔ Strong fundamentals ✔ System-level understanding ✔ Real-world coding patterns ✔ Interview-ready skills © COPYRIGHT DISCLAIMER © 2026 SP Learning Labs (SPLL). All Rights Reserved. This video, including its audio, visuals, animations, code examples, scripts, and explanations, is the intellectual property of SP Learning Labs. Unauthorized copying, reproduction, redistribution, re-uploading, or use of this content (in full or in part) on any platform without prior written permission is strictly prohibited. This content is created strictly for educational purposes only. Any permitted reuse must provide proper credit to SP Learning Labs (SPLL). Hashtags #Python #APIDesign #RESTAPI #BackendDevelopment #WebDevelopment #Microservices #GraphQL #gRPC #SystemDesign #Programming #LearnPython #FullCourse #SPLL