Design Microservices Architecture with Patterns and Principles - Microservices Distributed Transactions

The video tutorial explores transaction operations in microservices, highlighting the challenges of maintaining data consistency in distributed architectures. It uses an e-commerce application as a real-world example to demonstrate how product and shopping cart microservices handle price changes. The tutorial emphasizes the use of event-driven architecture and the publish-subscribe pattern to achieve eventual consistency. It also discusses the CAP theorem, explaining the trade-offs between consistency, availability, and partition tolerance in microservices. Finally, it touches on resilience and redundancy in event processing.

What are the challenges of performing transaction operations across microservices?

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Explain the concept of eventual consistency in the context of microservices.

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How can microservices ensure that changes in one service are reflected in another service's data?

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What are the implications of having separate databases for each microservice?

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How does the CAP theorem relate to microservices architecture?

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Describe the role of asynchronous communication in maintaining data consistency across microservices.

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What is the significance of using a message broker system in microservices?

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