Bulk Processing Without the 429s: Adaptive Concurrency for the Gemini API
Pushing tens of thousands of requests through the Gemini API with a fixed concurrency almost always produces 429s and dropped items. Here is an AIMD design that auto-tunes concurrency from the 429 feedback, with a bounded worker pool, a dead-letter queue, and resumable checkpoints.
The Day You Switch Gemini Embedding Models: Designing a Zero-Downtime Reindex
Upgrade your embedding model and every vector you ever stored becomes incompatible. Here is a dual-index design for re-embedding hundreds of thousands of vectors without downtime, complete with a resumable reindex job and a query-side abstraction layer.
Layering Gemini API Response Caches in Three Tiers — How I Split Memory, Redis, and Context Cache
Notes from running a three-tier cache (in-memory, Redis, Gemini Context Cache) in front of the Gemini API for six weeks across a wallpaper app — actual hit rates, billing impact, and the invalidation traps that ate me alive.
Coalescing Gemini API Requests with SSE Fan-out: Collapsing 100 Simultaneous Hits into a Single Call
How I rebuilt the post-push-notification thundering herd on a 50M-download wallpaper app into a Cloudflare Durable Objects coalescer with SSE fan-out, cutting Gemini API costs by 92% with 14 days of production telemetry.
SwiftData × Gemini API Offline Response Cache — Persisting and Reusing AI Responses on iOS
Design a SwiftData-backed cache layer for Gemini API responses so your iOS app keeps working in airplane mode and on flaky networks. Covers @Model schema, invalidation strategy, store-size discipline, and migration — all from production iOS experience.
A Gemini API Control Plane for Indie Developers Running an App Portfolio
When you run several apps (wallpaper, healing, manifestation) on Gemini API, keys scatter and per-app cost attribution disappears. This is the three-layer control-plane architecture I have used for twelve months, with the traps that only show up over time.
Wiring Circuit Breakers and Graceful Degradation into Gemini API — an Indie App's Stability-First Notes
When you run Gemini API in production for an indie app, something upstream breaks at least a few times a month. Here are the building blocks for circuit breakers and graceful degradation I settled on, with the implementation traps I actually hit.
Architecting a Multi-Tenant SaaS on Gemini API — Tenant Isolation, Usage Metering, and Runaway Cost Defense in Production
A field-tested blueprint for serving Gemini API to multiple tenants on a single backend — covering tenant isolation choices, per-tenant rate limiting in Redis, request-level usage metering for billing, and runaway-cost defenses.
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.
Gemini API Semantic Router: Implementation Notes for Splitting Flash and Pro Smartly
Implementation notes for building a production-grade semantic router that automatically dispatches Gemini queries between Flash and Pro. Includes Python and TypeScript working code, a two-stage design pattern, and seven implementation insights from running it inside an indie wallpaper app.
Long-Term Memory and Session Persistence with Gemini API — Design Patterns for Production Chatbots
Master the design patterns for long-term memory management, session persistence, and token budget control essential for building production-grade chatbots with Gemini API.
Gemini API AI Gateway Design Patterns — Building a Unified Proxy for Rate Limiting, Failover, and Cost Tracking
An advanced guide to designing and implementing an AI gateway (proxy server) for production Gemini API deployments. Learn how to unify rate limiting, automatic failover, token cost tracking, and multi-model routing in a single architecture layer.