OpenTelemetry Hands-on - Automatic and Manual Instrumentation for Java and Python Applications

Learn to implement OpenTelemetry for observability in Python and Java applications through this hands-on tutorial. Master both automatic and manual instrumentation techniques while working with a polyglot microservice application. Explore the collection and analysis of telemetry data, including metrics, traces, and logs, using various backend systems. Configure collectors and examine results using tools like Jaeger and Prometheus. Gain practical experience in cloud-native observability by implementing OpenTelemetry's unified framework for collecting and exporting telemetry data from applications and services. Perfect for developers seeking hands-on experience with OpenTelemetry's capabilities in ensuring application performance, reliability, and security in modern software environments.