Gemini API × Sentry: A Production Pipeline for LLM Error Tracking and Prompt Failure Observability
Pair Sentry's error tracking with Gemini-specific failure modes so you can catch safety filter blocks, recitation rejections, empty completions, and quiet latency drift in production.
Google ADK Callbacks & Guardrails: A Complete Production Guide to Agent Monitoring and Safety Control
Learn how to implement Google ADK Callbacks and Guardrails to monitor and control AI agent behavior in real time. Covers custom logging, safety filters, cost control, and quality assurance with production-ready, verified code examples.
Gemini API Rate Limits and 429 Handling: Operational Notes from an Indie Mobile App
Operational notes on handling Gemini API rate limits and 429 errors in a production indie mobile app: exponential backoff, adaptive control, multi-key pooling, and Cloud Monitoring integration, all rebuilt after a real incident.
Gemini API Observability in Production — Logging, Monitoring, and Cost Tracking Patterns
Learn how to build a robust observability stack for production Gemini API deployments. Covers structured logging, token usage tracking, latency monitoring, and cost optimization dashboards with full implementation code.
Reading Gemini API Logs by What Survived — Field Notes on Logging & Datasets
Use the Gemini API logging and datasets tool from a results-first angle — not token counts or latency, but whether each output actually survived to publication. Includes tying log review to spend caps and API key hygiene.