💥 Monorepo template (seed project) pre-configured with GraphQL API, PostgreSQL, React, and Joy UI.
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Updated
Feb 7, 2024 - TypeScript
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.
💥 Monorepo template (seed project) pre-configured with GraphQL API, PostgreSQL, React, and Joy UI.
A GitHub Action for deploying services to Google Cloud Run.
Nx Workspaces builders and tools
3D multilingual chatbot with interactive gestures, contextual conversations, persistent chat history, and personalized medical and mental health support.
PDF Converter is a SAAS tool for converting documents, images, files of various formats into PDF format.
A two-in-one platform that showcases two major features. One is Atlas-Kanban which keeps track of all your tasks separated by boards. The other is Atlas-SSR which generates a server-side rendered about page for you.
🐷 PEPPASORG is an integrated system combining a Telegram bot and a Minecraft server setup, deployed on Google Cloud Platform (GCP).
Use Google Cloud Logger to push messages to Slack
Next.js Template in ShareBrowse, Inc.
Demo for CircleCI + Google Cloud Run
Deploy a simple user-facing serverless workload on Google Cloud Run
Telegram bot deployed in CloudRun
Streamlined user registration via Firebase Auth, auto-generating unique IDs and capturing email addresses. Implemented Firestore for structured data storage, enriching user profiles with personalized details for an optimized platform experience.
Live Demo and Docs
Example code for the tutorial on deploying serverless MLflow tracking in Google Cloud Run
Let's you run Google Cloud Jobs in your local development env
Demo Node/Express/Angular app using the Node.js Cloud Client library to access a Google Cloud API.
Created by Google
Released November 14, 2019