Cloud Run is a fully-managed compute platform for deploying and scaling containerized applications quickly and securely. It provides a simple developer experience: you build a container, push it to Cloud Run, and you get a HTTPS URL back. The pricing model is pay-per-use; you don’t pay for idle containers.
The product is useful if you want a ‘serverless’ experience with full control over your programming language, runtime and system libraries.
Cloud Run is compatible with the Knative open standard. This means you can take a Cloud Run workload and move it to your own Kubernetes cluster with limited effort.
The open source multi-agent simulation from the Developer Keynote at Google Cloud Next '26. A deployable reference architecture for autonomous AI agents using Gemini and ADK.
A (relatively) minimal configuration app to run Twitter bots on a schedule that can scale to unlimited bots.
Example config for deploying from Travis CI to Google Cloud Run
Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything.
Learn to build and deploy a Serverless Django application to Google Cloud Run with Cloud SQL, Cloud Build, & Docker.
Serverless enables you to focus on code, not infrastructure. Deploy a Docker Container to Cloud Run using this series. Cloud Run is a service by the Google Cloud Platform.
Chatbot that uses Gemini-1.0-Pro to answer questions, with memory by using LangChain. Also, it's enriched by RAG and deployed in Dialogflow
This repository is a work-in-progress ML production pipeline for detecting Covid-19 from cough sounds and clinical information.
Efficient streaming data ingestion, transformation & activation
A demo multimodal AI chat application built with Streamlit and Google's Gemini model. Features include: secure Google OAuth, persistent data storage with Cloud SQL (PostgreSQL), and intelligent function calling. Includes a persona-based newsletter engine to deliver personalized insights.
Template repo for a GCP-hosted REST API with automatic API versioning and custom domain mapping
Fast model deployment on Google Cloud Run
Video Generation Agent with Veo 3.1 and Nano Banana in Cloud Run
Generate Google Cloud Run terraform plan from a docker-compose file
Containerising PyTorch models in a repeatable way. Deploy OpenAI's GPT-2 model and expose it over a Flask API. Finally deploy it to GCP repositories and publish it on a k8s cluster using Cloud Run.
Reusable Dagger CI/CD modules for GCP, versioning, and AI-powered deployment agents
Deploy and host a remote MCP server on Cloud Run
Created by Google
Released November 14, 2019