Book Image

Mastering Distributed Tracing

By : Yuri Shkuro
Book Image

Mastering Distributed Tracing

By: Yuri Shkuro

Overview of this book

Mastering Distributed Tracing will equip you to operate and enhance your own tracing infrastructure. Through practical exercises and code examples, you will learn how end-to-end tracing can be used as a powerful application performance management and comprehension tool. The rise of Internet-scale companies, like Google and Amazon, ushered in a new era of distributed systems operating on thousands of nodes across multiple data centers. Microservices increased that complexity, often exponentially. It is harder to debug these systems, track down failures, detect bottlenecks, or even simply understand what is going on. Distributed tracing focuses on solving these problems for complex distributed systems. Today, tracing standards have developed and we have much faster systems, making instrumentation less intrusive and data more valuable. Yuri Shkuro, the creator of Jaeger, a popular open-source distributed tracing system, delivers end-to-end coverage of the field in Mastering Distributed Tracing. Review the history and theoretical foundations of tracing; solve the data gathering problem through code instrumentation, with open standards like OpenTracing, W3C Trace Context, and OpenCensus; and discuss the benefits and applications of a distributed tracing infrastructure for understanding, and profiling, complex systems.
Table of Contents (21 chapters)
Mastering Distributed Tracing
Contributors
Preface
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15
Afterword
Index

Meet the HotROD


HotROD is a mock-up "ride-sharing" application (ROD stands for Rides on Demand) that is maintained by the Jaeger project. We will discuss its architecture later, but first let's try to run it. If you are using Docker, you can run it with this command:

$ docker run --rm -it \
    --link jaeger \
    -p8080-8083:8080-8083 \
    jaegertracing/example-hotrod:1.6 \
    all \
    --jaeger-agent.host-port=jaeger:6831

Let's quickly review what is going on with this command:

  • The rm flag instructs Docker to automatically remove the container once the program exits.

  • The it flags attach the container's standard in and out streams to the terminal.

  • The link flag tells Docker to make the hostname jaeger available inside the container's networking namespace and resolve it to the Jaeger backend we started earlier.

  • The string all, after the image name, is the command to the HotROD application, instructing it to run all microservices from the same process. It is possible to run each microservice...