May 19
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Microservices Architecture Explained | Service Communication, Events & Scaling As systems grow, a single application becomes harder to maintain, scale, and deploy safely. This is where microservices come in. Instead of one large system doing everything, microservices split applications into smaller, independent services that communicate over APIs and events. But microservices are not magic. They introduce network latency, failures, coordination problems, and operational complexity. In this video, you’ll learn how real-world systems structure services, how they communicate reliably, and when microservices actually make sense. Because architecture decisions should be based on trade-offs — not trends. 🔁 Previous Video Brief In the previous video, we learned API Design Best Practices — including REST principles, versioning, validation, caching, and scalability techniques. Now we go deeper into how entire systems are structured internally using microservices and how services communicate with each other. 🚀 In This Video, You’ll Learn ✔ Monolith vs microservices architecture ✔ When microservices make sense (and when they don’t) ✔ Trade-offs and hidden complexity ✔ Synchronous vs asynchronous communication ✔ REST & gRPC service calls ✔ Message queues and event-based communication ✔ Event-driven architecture basics ✔ Service discovery mechanisms ✔ Observability (logs, metrics, traces) ✔ Real-world debugging challenges ✔ Common microservices mistakes ✔ Practical mindset for scalable distributed systems By the end of this session, you’ll understand how large production systems are split into services and how they stay reliable under heavy traffic. 🔜 Next Video Brief In the next and final video of this module, we move into Cloud-Native Python Systems, where you’ll learn how APIs and microservices are deployed using containers, cloud platforms, scaling strategies, and modern DevOps practices. 🎯 Who This Video Is For • Backend developers • Python engineers building distributed systems • System design interview candidates • DevOps & cloud beginners • Anyone designing scalable applications Time Stamps : 00:00 : Introduction 01:58 : Monolith Vs Microservices 03:25 : Why Microservices are Hard 04:11 : Service Communication Styles 05:20 : Event - Driven Architecture 06:09 : Service Discovery 06:45 : Observability in Microservices 07:27 : Common Errors and Facts 08:21 : Interview Questions 08:52 : 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). #Python #Microservices #DistributedSystems #BackendDevelopment #SystemDesign #EventDriven #APIs #CloudComputing #DevOps #Scalability #Programming #FullCourse #SPLL