Open Source Summit Europe 2022

Scaling application platforms give site reliability engineers a significant burden on collecting telemetry data from a single cluster to multiple clouds. You’re probably handy to observe metrics with comprehensive dashboards by 3rd party application performance monitoring tools in the traditional environments. However, the application topologies are getting more complex due to distributing cloud-native microservices. Infrastructures have also been varying from Linux containers to IoT edge devices, public cloud, and Kubernetes. This is a new challenge for dev and ops to trace application chains. This talk guides you through the distributed tracing integration with OpenTelemetry for serverless functions. OpenTelemetry allows you to collect telemetry data such as metrics, logs, and traces then enables you to analyze applications’ performance and behavior. I’ll also showcase a live demo of how to trace metrics of reactive RESTful APIs with step by step instructions below: - Collect local telemetry data by OpenTelemtry collector and Quarkus Dev mode - Visualize the telemetry data through the Jaeger console locally - Deploy the reactive serverless functions to verify telemetry data using OpenTelemetry and Jaeger operators