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1. Launch the Dashboard with Java Agent Enabled: The application is started with the OpenTelemetry Java agent, which uses the OTLP exporter configured. This setup will allow the application to send telemetry data (traces and metrics in this example) to the OpenTelemetry Collector for further processing.

2. Collect and Process Telemetry Data: The OpenTelemetry Collector will be set up to receive telemetry data from the application via OTLP protocols (HTTP on port 4318 and gRPC on port 4317). It will process the incoming data using a batch processor that ensures the efficient handling of metrics.

3. Export Metrics: The processed metrics will then exposed for Prometheus to scrape at the endpoint 0.0.0.0:8889. This integration will allows real-time monitoring and visualisation of the dashboard’s performance.

4. Export Traces: The OpenTelemetry Collector will forward the traces to Zipkin, a distributed tracing system. Zipkin will visualise these traces, helping track the flow of requests across the dashboard and identify any performance bottlenecks or failures.

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