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Website Link: www.systemdrd.com Sharing a single database across microservices might seem easyโฆ but it creates a hidden problem: ๐ฅ Tight Coupling One schema change in a single service can break multiple others โ slowing down deployments and creating fear across teams. ๐ก Enter the Database Per Service pattern. Each microservice owns its own private database, giving teams full control and independence. โก Why This Pattern Matters: * ๐ซ Eliminates tight coupling between services * ๐ Enables independent deployments * ๐งฉ Allows using the best database for each service * ๐ Improves isolation and reliability ๐ In This Video, Youโll Learn: * Why shared databases are dangerous * What โtight couplingโ really means * How Database Per Service works * Real-world microservices architecture insights ๐ฅ If you're building Microservices, Backend Systems, or Cloud Applications, this is a must-know concept. ๐ LIKE ๐ | SHARE ๐ | SUBSCRIBE ๐ for more system design content! #Microservices #SystemDesign #DatabaseDesign #BackendEngineering #SoftwareArchitecture #CloudComputing #Scalability #DevOps #TechExplained #DistributedSystems