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Build sophisticated, enterprise-ready intelligent applications with MongoDB Atlas and Google Cloud. Combine Google Cloud’s robust infrastructure with Atlas, a developer data platform, to ensure flexibility, scalability, and security.- Latest
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Sentiment Chef Demo Walkthrough | MongoDB Atlas and Gemini
✅ Sign-up for a free cluster at → https://mdb.link/MYXszuADKp0-register - Sentiment - Chef is a project demonstrating sentiment analysis and summarization with Gemini Pro, feature extraction and tagging for images and videos with Gemini Pro Vision, full-text search with MongoDB Atlas Search and serverless workflow with MongoDB Atlas Triggers. (Links for, MongoDB website, etc): Try MongoDB Atlas - GitHubhttps://github.com/mongodb-developer/Google-Cloud-Sentiment-Chef/
Jun 20, 2024
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How to Deploy your Serverless Full-Stack App with Google Cloud Run and MongoDB Atlas
✅ Subscribe to MongoDB Atlas on Google Cloud: https://bit.ly/3KOx4H9 ✅ Sign-up for a free cluster at: https://mdb.link/free--UobUxpW6WQ ✅ Get help on our Community Forums: https://mdb.link/community--UobUxpW6WQ In this video, you'll learn what is serverless, how to deploy a serverless MEAN stack application on Google Cloud Run, and how to create a MongoDB Atlas serverless instance. 📚 RESOURCES 📚 Learn more about Google Cloud Run and MongoDB Atlas serverless instances - https://bit.ly/serverless-atlas-cloud-run ⏱️ Timestamps ⏱️ 0:00 Introduction 0:14 Autoscaling 1:18 Improved developer productivity 1:50 Better billing model 2:16 Serverless considerations 3:03 Google Cloud Run 3:47 MongoDB Atlas serverless instances 5:18 Serverless MEAN stack 6:11 Deploying to Cloud Run 8:42 Node.js API service configuration 10:14 Angular client service configuration 11:21 Angular Firebase deployment 11:32 Cloud Run command-line deployment --- Subscribe to MongoDB ➡️ https://bit.ly/3bpg1Z1 #mongodb #google-cloud #serverless
Sep 06, 2022