Edtech Startup API Error Monitoring: Lean Capture Without Replay or Tracing
TL;DR: For an API-only AI tutoring startup operating in the US and EU, start with exception capture plus searchable groups, then attach a small set of cost-allocation fields to every event. Skip session replay. Skip distributed tracing until a specific debugging question requires it. The least complex useful system answers two questions from one failure group: what broke, and how much model work…
For an AI tutoring startup with API-only error monitoring, begin by capturing exceptions and organizing them into searchable groups, then attach essential cost-allocation fields to each event. Avoid session replay and distributed tracing until a specific debugging question demands their use. The simplest yet effective system should answer two key questions: what went wrong, and how much model work was wasted? Exception triage, cost attribution, and operational load are crucial for operational efficiency.
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