Design Microservices Architecture with Patterns and Principles - Problem: Fault Tolerance Microservices Able to Remain O

The video tutorial addresses the challenges of operating microservices in large-scale applications, focusing on fault tolerance and resilience. It highlights the need for microservices to remain operational during failures and disruptions, especially in high-traffic e-commerce environments. The tutorial discusses strategies for deploying new features without affecting system stability and emphasizes the importance of designing resilient architectures. Solutions such as retry patterns, circuit breakers, distributed logging, and health monitoring are introduced to enhance microservices' reliability and availability.

What is a key challenge faced by microservices in large-scale applications?

• Ensuring fault tolerance and operational continuity during failures

• Reducing the number of microservices

• Decreasing the number of concurrent users

• Increasing the number of servers

Why is it important for microservices to be resilient?

• To increase the number of servers

• To decrease the number of concurrent users

• To ensure reliability and availability despite errors

• To reduce the number of microservices

What is one of the solutions for achieving microservices resilience?

• Increasing the number of servers

• Using retry patterns and circuit breakers

• Decreasing the number of microservices

• Reducing the number of concurrent users

Which tool is mentioned for microservices health monitoring?

• Elasticsearch

• Zipkin

• Kibana

• Prometheus

What is the role of distributed logging in microservices?

• To decrease the number of microservices

• To reduce the number of concurrent users

• To provide insights into system operations

• To increase the number of servers