
Why Is Context Propagation Crucial For Tracing? - Cloud Stack Studio
Cloud Stack Studio
In this video, we explore the vital metrics you need to monitor when building distributed, event-driven systems. Distributed tracing and structured logging provide valuable insights, but understanding macro-level performance requires generating specific metrics. We'll discuss the importance of metrics like operation duration, message size, queue depth, and errors. Utilizing Open Telemetry's semantic conventions, you'll learn how to aggregate trace data to derive these metrics, enabling you to evaluate system performance comprehensively. Watch until the end to master the metrics crucial for your asynchronous services and improve your system's reliability and efficiency. 00:00 Introduction to Distributed Tracing 00:30 Importance of Metrics in Asynchronous Systems 00:50 Key Metrics for Event-Driven Systems 02:58 Generating Metrics from Trace Data 06:54 Infrastructure Metrics and Observability 08:37 Building Comprehensive Dashboards 09:42 Conclusion and Next Steps
Category
Observability & MonitoringFeed
Observability & Monitoring
Featured Date
October 25, 2025Quality Rank
#3