Turning Synthetic Traces into Gold: Monitoring for User Journeys
summary
Claims a centralized tracing platform handles 300 million spans per minute and ingests telemetry at the scale of millions of traces and petabytes of logs, uses B3 headers (with OpenTelemetry compatibility), and runs synthetic tests with 100% sampling so every synthetic execution yields a full trace. It aggregates similar traces into contributor time series and directed flow graphs, supports on-demand and instance-based tracing, and reports that the framework surfaces bottlenecks and sparse failures in practice.
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chapters (10)
- 0:00Introduction and Session Overview
- 0:35Understanding the Scale of Monitoring at Salesforce
- 1:05Defining Critical User Journeys (CUJs)
- 2:07The Importance of Distributed Tracing
- 4:43Deep Dive into Distributed Tracing Semantics
- 7:34Enabling CUJs with Synthetic Tests
- 10:11Aggregating Traces for Insights
- 11:54Advanced Trace Segregation Techniques
- 12:50On-Demand and Instance-Based Tracing
- 13:43Conclusion
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