Database Per Service Explained | Fix Microservices Coupling

Description

Website Link: www.systemdrd.com Sharing a single database across microservices might seem easy… but it creates a hidden problem: 💥 Tight Coupling One schema change in a single service can break multiple others — slowing down deployments and creating fear across teams. 💡 Enter the Database Per Service pattern. Each microservice owns its own private database, giving teams full control and independence. ⚡ Why This Pattern Matters: * 🚫 Eliminates tight coupling between services * 🚀 Enables independent deployments * 🧩 Allows using the best database for each service * 🔒 Improves isolation and reliability 📌 In This Video, You’ll Learn: * Why shared databases are dangerous * What “tight coupling” really means * How Database Per Service works * Real-world microservices architecture insights 🔥 If you're building Microservices, Backend Systems, or Cloud Applications, this is a must-know concept. 👉 LIKE 👍 | SHARE 🔁 | SUBSCRIBE 🔔 for more system design content! #Microservices #SystemDesign #DatabaseDesign #BackendEngineering #SoftwareArchitecture #CloudComputing #Scalability #DevOps #TechExplained #DistributedSystems