◉GEMINI LABJP
●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20
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Cloud Run

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Gemini API5production3Production2Cloud Pub/Sub1Event-Driven1Indie Developer1cold start1AWS Lambda1Cloudflare Workers1serverless1Cloud Tasks1async1
◈ Gemini API/2026-05-21Advanced

Designing Event-Driven AI Workflows with Gemini API and Cloud Pub/Sub — Notes from an Indie Developer

An implementation memo on wiring Gemini API into Cloud Pub/Sub event-driven workflows. Using an app-review analysis pipeline as the running example, the article covers retry policy, dead-lettering, idempotency, and cost guardrails — from the perspective of someone running it solo.

◈ Gemini API/2026-05-04Advanced

Solving Gemini API Cold Starts — Production-Grade Startup Optimization for Cloud Run, Lambda, and Workers

When you put Gemini API on serverless, the first request takes six seconds. This guide breaks down where the time goes and shows concrete startup-optimization patterns for Cloud Run, AWS Lambda, and Cloudflare Workers — with real numbers, runnable code, and cost trade-off advice.

⟐ Gemini Dev/2026-04-22Advanced

Async AI Job Queues with Gemini API and Cloud Tasks — Production Patterns for Timeouts, Retries, and Rate Limits

Migrate synchronous Cloud Run + Gemini calls to a Cloud Tasks async job queue. Covers retries, DLQ, idempotent workers, and cost modeling with working code.

◈ Gemini API/2026-04-07Advanced

Gemini API × Slack Bot in Production — Bolt SDK, Thread Context, and Cloud Run Deployment

Build a production-grade AI Slack Bot with Gemini API and Slack Bolt SDK (Python): thread context management, multimodal support, rate limit handling, and Cloud Run deployment.

⟐ Gemini Dev/2026-03-30Advanced

Firebase Genkit × Gemini API in Production — Field Notes from an Indie Developer Running 50M-Download Apps

Production field notes from running Firebase Genkit and Gemini API on the back end of indie wallpaper and mindfulness apps that cumulatively passed 50M downloads. Covers Flow and Tool design, RAG, deployment, real cost and latency numbers, plus seven undocumented gotchas you only find after a month in production.