AIVA Automated Testing System developed by Y Soft Corporation currently has a robust observability stack based on OpenTelemetry, which does not include frontend telemetry. This diploma thesis aims to extend AIVA observability with frontend telemetry seamlessly integrating it with existing telemetry data.

Collect best practices for frontend telemetry, identify and suggest tools and libraries to easily extend existing frontend application with capability to generate, collect, and export telemetry based on the OpenTelemetry standard.

The thesis should be split into six parts:
1. An overview of the observability concept and best practices focused on frontend telemetry and end to end system observability used throughout the thesis.
2. Explain the difference between frontend telemetry and system observability.
3. Propose an approach to extend existing frontend code with telemetry in as non-invasive manner as possible. Explain any necessary trade-offs.
4. Provide prototype implementation integrated with YSoft AIVA frontend and extend the observability stack and monitoring dashboards to include frontend telemetry.
5. Demonstrate the integration of frontend telemetry into full system traceability on a particular user activity.
6. Showcase an example how frontend telemetry can contribute to quantitative user research methods.