In this video, we dive deep into the "Database Per Service" pattern, a key concept in microservices architecture. Unlike monolithic applications where all components share a single database, this pattern ensures that each microservice has its own independent database, leading to better scalability, performance, and loose coupling.

By isolating databases, services can scale independently, avoiding bottlenecks and service downtime. This video also addresses how largescale companies like Amazon and Netflix use this pattern to handle massive traffic and ensure seamless operations.

For those interested in building scalable, faulttolerant systems, be sure to also check out my video on eventdriven architecture

Key Sections:
00:00 Introduction to the Database Per Service Pattern
00:59 Implementation Approaches
02:10 Example of Credit Card Application
03:08 Challenges & Data Consistency in Distributed Systems
05:00 EventDriven Architecture to Maintain Consistency

  / bytemonk  

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