Tracing Gemini API in Production with OpenTelemetry: See Every Step of a Single Request
After three months of running Gemini API in production, plain logs stop telling you why latency, cost, or failures spike. This guide walks through wrapping Gemini in OpenTelemetry — Python and Node.js code, GenAI semantic conventions, sampling, and Grafana/Datadog wiring — so you can see the full anatomy of every request.
Parallel Function Calling in Gemini API: Production Patterns, Pitfalls, and Monitoring
A production guide to Parallel Function Calling in the Gemini API: DAG tool design, partial failure handling, rate limits, and monitoring — with working code.
Preventing Gemini API Cost Spikes in Solo Products — Guardrails That Save You from Month-End Shocks
Nearly every solo developer using the Gemini API eventually has the 'why is my bill 10x what I expected' month. Here are the production-grade guardrails I always install in my own wallpaper app and client projects to stop cost runaways before they start.
Quietly Catching Wrong Answers in Your Gemini-Powered App — A Production Auto-Eval Loop
Running Gemini in production eventually shows you responses that are 'kind of wrong.' I want to catch them before users do. This is the exact auto-eval loop I run over live traffic, with the prompts I use and the mistakes I had to learn my way through.
to Production Architecture for Gemini API 2026— Design Patterns for Building Scalable, Reliable AI Systems
A comprehensive guide to production-grade design patterns for Gemini API. Covers resilient API clients, multi-layer caching, multi-tenant design, observability, and cost control with complete code examples.
Google Cloud Workflows × Gemini API Production Orchestration Guide: Timeouts, Retries, and Cost Control
A complete guide to orchestrating Gemini API calls in production using Google Cloud Workflows. Covers YAML step definitions, automatic retries, timeout configuration, and cost budget alerts with working code examples.
Designing a Production Prompt Management System for Gemini API — Versioning, A/B Testing, and Canary Rollouts
A complete implementation guide for solving the prompt versioning, attribution, and safety challenges in production Gemini API deployments — using FastAPI, PostgreSQL, Redis, A/B testing, and canary rollouts.
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.
Building a Production RAG System with Gemma 4: Local LLM + Vector Search Architecture
A complete guide to building production RAG systems with Gemma 4, ChromaDB, and pgvector. Covers architecture design, chunking strategies, Long-Context RAG using the 256K window, hybrid search, and performance optimization.
Gemini API Embeddings vs Vector Databases: Pinecone, Qdrant, pgvector, and Cloud Spanner Compared for Production
Benchmark Pinecone, Qdrant, pgvector, and Cloud Spanner Vector using Gemini text-embedding-004 with real latency, cost, and code. The definitive production selection guide.
Gemini API Multimodal Input Optimization — Production Techniques to Cut Token Costs for Images, PDFs, Video, and Audio
Cut your Gemini API multimodal token costs by up to 70% in production. Practical optimization techniques for images, PDFs, video, and audio with working Python code examples.
Building Voice Apps with Gemini 2.5 Flash TTS: From Low-Latency Synthesis to Production Optimization
How to build voice apps with Gemini 2.5 Flash TTS. Covers low-latency speech synthesis, expressiveness control, streaming playback, and cost optimization with implementation code.