DevOps Foundations: Distributed Tracing

Learn how to troubleshoot complex microservice environments with Jaeger and Zipkin, two popular tracing projects, and how to evaluate the performance of a complex application.

Introduction

• Tracing for observability
• Your lab and test app
• Testing the setup

1. What Is Distributed Tracing?

• Why do we need distributed tracing now?
• Tracing libraries and agents
• Overview of Zipkin and Jaeger

2. Implementing Distributed Tracing with Zipkin

• Configuring the Zipkin tracer
• Tracing app code
• Seeing the app trace in the Zipkin UI
• Adding metadata to your traces
• Seeing the tags and error event in the Zipkin UI
• Tracing database calls with Zipkin
• Seeing the database traces in the Zipkin UI
• Tracing message queue calls
• Seeing the message queue traces in the Zipkin UI
• Tracing web calls server-side
• Seeing web service traces in the Zipkin UI
• Tracing web calls end-to-end
• Seeing the whole picture

3. Implementing Distributed Tracing with Jaeger

• Configuring the Jaeger tracer
• Tracing app code
• Seeing the app trace in the Jaeger UI
• Adding metadata to your traces
• Seeing the tags and error event in the Jaeger UI
• Tracing database calls
• Seeing the database traces in the Jaeger UI
• Tracing message queue calls
• Seeing the message queue traces in the Jaeger UI
• Tracing web calls server-side
• Seeing web service traces in the Jaeger UI
• Tracing web calls end-to-end
• Seeing the whole picture

4. Managing Trace Data

• Persisting trace data for long term analysis
• Integrating trace data with the rest of your monitoring systems

Conclusion

• Additional help and resources