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RubyConf AU 2018 | Sydney | Australia March 8th & 9th, 2018 Organisers: Melissa Kaulfuss (@melissakaulfuss), Nicholas Bruning (@thetron), Sharon Vaughan (@Sharon_AV) & Nadia Vu (@nadiavu_) MCs: Melissa Kaulfuss & Nicholas Bruning Sponsored by: Envato, Culture Amp, Lookahead, Reinteractive, Oneflare, Shippit, Twilio, The Conversation, Netflix, Disco, Heroku, REA Group
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In the presentation titled 'Debugging Your Services with Distributed Tracing' at RubyConf Australia 2018, Stella Cotton discusses the importance and implementation of distributed tracing within software systems, specifically within the context of Heroku. Distributed tracing is introduced as a method to trace requests across distributed systems, particularly when dealing with microservices. Stella illustrates key concepts through relatable examples, notably an e-commerce application that transitions from a monolithic architecture to a microservices architecture. Key points discussed include: - **What is Distributed Tracing?**: It allows teams to visualize and track the flow of requests between services, making it easier to identify bottlenecks in performance. - **Examples of Distributed Systems**: The presentation details a scenario in an e-commerce site where requests might take longer than expected due to slow responses from a recommendation service, emphasizing the complexities added by multiple services. - **Types of Tracing**: Stella describes 'black box' and 'white box' tracing. While black box tracing is useful, it often does not provide sufficient detail about system operations, particularly with event-driven systems. She advocates for white box tracing, which logs and tracks information about service requests and their relationships. - **Key Components**: She explains various components of a tracing system: the tracer (instrumentation in the application), transport (how data is sent), and UI (how results are visualized). - **Implementation Considerations**: Important factors for implementing distributed tracing include ecosystem compatibility, infrastructure requirements, and security concerns regarding sensitive data. - **Suggested Next Steps**: Stella encourages teams to start small by experimenting with tools like Zipkin, providing practical advice on how to integrate tracing into existing applications. The presentation emphasizes that as systems grow, proper tracing becomes essential for operational success, enabling better decision-making and debugging processes. Stella reinforces the idea that distributed tracing can democratize knowledge of system performance across teams, ultimately leading to more efficient and understandable services.
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