A student's deployed AI project silently failed for three days before anyone noticed — the provider's API key had expired and every request was returning an error nobody was watching for.
A minimal setup that catches this
- A free-tier uptime checker that pings your health endpoint every few minutes and alerts on failure.
- Error-rate logging with a threshold alert (many free logging services support this) — not just raw logs nobody reads.
- A simple daily count of successful vs failed LLM calls, even just written to a log line you can grep.
The one alert that matters most
An alert on API authentication failures specifically — an expired or rotated key is one of the most common and most silent production failures in a student project, and it's trivial to detect if you're watching for it.
See logging and tracing LLM calls for what feeds this monitoring layer.
GenAI engineer and AI product builder with 2+ years shipping production-grade AI systems: RAG pipelines, fine-tuned LLMs, hybrid retrieval and multi-modal apps across vision, speech and OCR, architected end to end from ingestion to deployment. Leads engineering for SCULT INDIA's 14-member team, founded the 500+ member TechVerse Enclave community and has mentored 200+ students. Three hackathon first prizes: Changethon 2025 (IIT Roorkee), Product Genesis at Vividhotsava 2025 (CSJMU Kanpur) and BYTEBATTLE (MeetKats).
Open to GenAI roles, hackathon judging, mentorship sessions and guest talks at colleges. Email pranjulrathour41@gmail.com.
