Design Microservices Architecture with Patterns and Principles - Microservices Distributed Tracing with OpenTelemetry Us

The video tutorial explains distributed tracing using Open Telemetry and Zipkin. Distributed tracing helps track requests across microservices, aiding in understanding interactions and troubleshooting. Open Telemetry provides APIs for collecting telemetry data, while Zipkin stores and visualizes trace data. The tutorial demonstrates integrating Open Telemetry with Zipkin in a microservice architecture, using an e-commerce application as an example. It highlights how trace data can identify performance issues and improve system observability.

What is the primary purpose of distributed tracing in microservices?

• To increase the speed of microservices

• To reduce the cost of microservices

• To track the flow of requests across different microservices

• To enhance the security of microservices

Which open-source project provides APIs and libraries for collecting telemetry data?

• Prometheus

• Grafana

• Kibana

• Open Telemetry

What is the role of Zipkin in distributed tracing?

• It collects and stores trace data from microservices

• It provides a database for storing microservices data

• It enhances the security of microservices

• It reduces the latency of microservices

How does the Open Telemetry SDK help in distributed tracing?

• By collecting trace data as requests flow through the system

• By increasing the speed of data processing

• By reducing the number of microservices

• By encrypting data between microservices

In the e-commerce example, what is the benefit of using Open Telemetry and Zipkin?

• To enhance the security of the application

• To increase the number of microservices

• To improve observability and identify performance issues

• To reduce the cost of the application