Project Overview
This project studies data management support for root cause analysis in cloud-native microservice systems. Modern distributed applications generate large volumes of observability data, including metrics, events, logs, and traces, but diagnosing failures often requires engineers to manually inspect multiple data sources and dashboards.
The goal of this project is to prototype an observability data management layer that helps organize, retrieve, and analyze telemetry data for incident investigation. Experimental resources will be used to deploy representative microservice applications, generate and collect telemetry through standard observability tools such as OpenTelemetry and related storage backends, and evaluate how different retrieval and analysis workflows support root cause analysis.
The project will focus on system deployment, telemetry collection, query processing, and performance evaluation in realistic cloud environments. This work does not require privileged access to production systems or sensitive user data; experiments will be conducted using controlled benchmark applications and synthetic or publicly available workloads.