Design Microservices Architecture with Patterns and Principles - Horizontal Scaling - Scale Out

The video tutorial explains horizontal scaling, which involves distributing the load across multiple servers by adding more machines without changing existing specifications. This approach enhances scalability and reliability, making it a preferred method in distributed architectures. The tutorial also distinguishes between stateless and stateful services, emphasizing that stateless services are easier to scale horizontally. It briefly mentions the CAP theorem for stateful services and focuses on implementing horizontal scaling in an ecommerce application.

What is the primary advantage of horizontal scaling?

• It simplifies the architecture by using fewer machines.

• It provides scalability and reliability through redundancy.

• It increases the processing power by adding more resources to a single machine.

• It reduces the number of servers needed.

How does horizontal scaling differ from vertical scaling?

• Vertical scaling is more cost-effective than horizontal scaling.

• Horizontal scaling involves adding more servers to distribute the load.

• Vertical scaling is preferred in distributed architectures.

• Horizontal scaling involves adding more resources to a single server.

What is a key consideration when scaling stateless services horizontally?

• Ensuring each server has a unique state.

• Using a load balancer to distribute traffic.

• Increasing the memory of each server.

• Reducing the number of servers.

Why is it easier to scale stateless services horizontally?

• They require less memory.

• They are less expensive to scale.

• They can operate without a load balancer.

• They do not need to maintain a state across servers.

What is the focus of horizontal scaling in the context of the e-commerce application mentioned?

• Scaling stateful services.

• Scaling stateless services.

• Reducing the number of servers.

• Increasing server specifications.