Design Microservices Architecture with Patterns and Principles - Microservices Data Management - Cross-Service Queries

The video tutorial discusses the challenges of cross-service queries in microservice architectures, highlighting the differences between monolithic and microservice systems. It explores various communication patterns, including direct HTTP and asynchronous communication, and their limitations. The tutorial presents use cases, such as e-commerce applications, to illustrate these challenges and potential solutions like the service aggregator pattern. It concludes by introducing the materialized view pattern as a solution for reducing cross-service dependencies, setting the stage for further exploration in the next video.

What is a key challenge of cross-service queries in microservice architectures compared to monolithic architectures?

• Managing a single database

• Ensuring strong consistency

• Handling multiple databases

• Simplifying data management

Why is direct HTTP communication not ideal for microservices?

• It increases coupling between services

• It simplifies service interactions

• It enhances microservice independence

• It reduces latency

What is the best practice for reducing inter-service communication in microservices?

• Using asynchronous communication

• Reducing database usage

• Increasing service coupling

• Using synchronous communication

What pattern is suggested for removing cross-service dependencies?

• Asynchronous Pattern

• Direct HTTP Pattern

• Materialized View Pattern

• Service Aggregator Pattern

In the example use case, what is a major drawback of using multiple HTTP calls?

• Increased latency

• Reduced service interactions

• Simplified architecture

• Improved performance

What is a potential issue if a step in a multi-step HTTP call fails?

• Simplified error handling

• Improved system availability

• Increased system performance

• Unacceptable high latencies

Which solution can help manage high latency in cross-service queries?

• Using message broker systems

• Reducing database size

• Increasing service coupling

• Increasing synchronous calls