Design Microservices Architecture with Patterns and Principles - Microservices Observability with Distributed Logging an

The video tutorial discusses microservices observability, focusing on distributed logging and tracing. It explains how these tools help manage the complexity of cloud-native applications by providing operational insights and understanding system behavior. The tutorial uses an e-commerce application as a real-world example to illustrate how distributed logging and tracing can improve observability, track request flows, and identify issues. Technical details on implementing these features, such as using correlation IDs, are also covered.

What is the primary purpose of microservices observability?

• To enhance the user interface of applications

• To provide operational insights and understand incidents

• To reduce the cost of cloud services

• To increase the number of microservices in an application

How does distributed logging help in a microservice architecture?

• By simplifying the user interface

• By increasing the speed of data processing

• By collecting and analyzing log data from multiple services

• By reducing the number of service instances

What is the main function of distributed tracing?

• To track the flow of requests through a microservice architecture

• To store data in a centralized database

• To reduce the number of microservices

• To enhance the graphical user interface

In the e-commerce example, what is the role of distributed logging?

• To enhance the payment gateway

• To manage user accounts

• To collect and analyze log data from microservice instances

• To reduce the number of product listings

How can correlation IDs be used in distributed tracing?

• To identify which step in a process encountered an exception

• To increase the number of service instances

• To enhance the visual design of the application

• To reduce the cost of cloud storage