Design Microservices Architecture with Patterns and Principles - Problem: Databases Create Bottlenecks When Scaling

The video discusses the challenges of scaling databases in a microservices architecture. While microservices can scale independently due to their stateless nature, databases pose a bottleneck as they are stateful. The video suggests horizontal scaling and data partitioning as solutions. It also introduces an optional section on learning about Kafka and RabbitMQ, which are message brokers that facilitate asynchronous communication in distributed systems.

What are the main problems associated with scaling databases in a microservices architecture?

Explain the difference between stateful and stateless services in the context of microservices.

What solutions are suggested for scaling stateful applications?

What are the benefits of using non-SQL databases in microservices?

How do Kafka and Rabitain Q contribute to microservices architecture?