Modern applications have evolved from single-threaded monoliths to concurrent, asynchronous, distributed microservices. Those who build them are beginning to understand the role and importance of distributed tracing. After all, it’s the most direct way to understand how and why complex systems misbehave, by visualizing transactions as they go through a system, crossing process boundaries. Every organization that’s adopted microservices at scale has had to deploy a distributed tracing solution—first with Dapper at Google, then with Zipkin at Twitter, and now with various open source and commercial tracing solutions at many other technology companies.
As our industry migrates toward microservice architectures, distributed tracing will become the table stakes for visibility into production systems; thus, developers must learn how to integrate and deploy tracing technology effectively. Yuri Shkuro, Bryan Liles, Won Jun Jang, and Prithvi Raj take you from zero to implementing useful traces with OpenTracing, walking you through visualizing the critical path for transactions with microservices, enabling debugging, latency monitoring, and overall performance gains.
The goal throughout is to demystify distributed tracing and convey best practices through interactive lessons, placing a special focus on source-code instrumentation and integration strategies, as historically those have been the most daunting aspect of distributed tracing for newcomers.
Bryan Liles is a Staff Engineer at Heptio. When he is writing software to team move to Kubernetes, he gets to speak at conferences on topics ranging from machine learning to building the next generation of developers. In his free time, Bryan races cars in straight lines and around turns and builds robots and devices.
Won Jun Jang is an observability engineer at Uber Technologies, working on distributed tracing, monitoring, and performance. In his spare time, he gets lectured by his life coach to write a more interesting Bio to sell himself better.
Prithvi Raj is an observability engineer working on Uber’s distributed tracing system, Jaeger.
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