OpenTelemetry Hands-On - Manual and Automatic instrumentation for Java and Python apps

In today’s modern software landscape - in the cloud-native one in particular - observability has become a critical aspect of ensuring the performance, reliability, and security of applications. OpenTelemetry, a standard and open-source observability framework, provides a unified way to collect and export telemetry data from applications and services. This hands-on lab will guide participants through the process of using OpenTelemetry to instrument a simple application, collect metrics, traces, and logs, and send them to various backends for analysis.

The lab covers the implementation and usage of OpenTelemetry into Python and Java-based applications.

The exercises include: the instrumentation of a polyglot microservice application, auto-instrumentation vs. manual instrumentation, evaluating the collected traces, logs and metrics, configuring a collector, analysing the results in Jaeger and Prometheus.