Ultimate Guide to Database Per Service pattern in Microservices

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 large-scale companies like Amazon and Netflix use this pattern to handle massive traffic and ensure seamless operations. For those interested in building scalable, fault-tolerant systems, be sure to also check out my video on event-driven 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 - Event-Driven Architecture to Maintain Consistency   / bytemonk      • System Design Interview Basics      • System Design Questions      • LLM      • Machine Learning Basics      • Microservices      • Emerging Tech   AWS Certification: AWS Certified Cloud Practioner:    • How to Pass AWS Certified Cloud Practition...   AWS Certified Solution Architect Associate:    • How to Pass AWS Certified Solution Archite...   AWS Certified Solution Architect Professional:    • How to Pass AWS Certified Solution Archite...   #Microservices #eventdrivenarchitecture #databaseperservice