Design Microservices Architecture with Patterns and Principles - Topic-Queue Chaining and Load Balancing Pattern

The video tutorial discusses the load balancing pattern in serverless architectures, focusing on asynchronous communication. It explains the use of queues and topics, particularly the topic queue chaining pattern, to enhance resilience and prevent data loss. The tutorial highlights the implementation of this pattern using Amazon SNS and SQS, detailing its benefits in buffering and load balancing. It also addresses challenges with subscriber microservices and compares the use of SQS with Kafka for message persistence.

What is the primary benefit of using a queue as a buffer in asynchronous communication?

• To simplify the architecture design

• To reduce the cost of data storage

• To increase the speed of data processing

• To prevent data loss during service failures

In the topic queue chaining pattern, what role does the API gateway play?

• It triggers the order acknowledgment microservices

• It directly processes all incoming requests

• It acts as a load balancer for microservices

• It stores messages for later processing

What happens if a subscriber microservice is offline when a message is published?

• The message is lost and cannot be processed later

• The message is stored until the service is back online

• The message is redirected to another service

• The message is automatically processed by the publisher

How does Amazon SQS help in managing message loads in microservices?

• By storing messages in a non-durable manner

• By reducing the number of messages

• By acting as a buffering load balancer

• By directly processing messages

Why might Kafka not require an additional queue mechanism in microservices?

• Because it already persists messages into clusters

• Because it does not support asynchronous communication

• Because it is not compatible with microservices

• Because it cannot persist messages