Case study

TraceLens

AI-assisted incident investigation platform connecting logs, traces, deployments, and service signals to surface root causes.

Role
Full-stack engineer
Timeline
2024 · ongoing
Stack
Next.jsTypeScriptPythonFastAPIPostgreSQL

Problem

Distributed systems produce too much signal and too little context during incidents and investigations.

Approach

Correlated operational data and used AI to generate evidence-backed root-cause hypotheses with a clear investigation flow.

Architecture

A Next.js experience over a Python backend that gathers service telemetry and patterns for investigation summaries.

Outcome

Provides a coherent investigation workflow for understanding failing systems and narrowing root causes quickly.