Harness the power of MongoDB Atlas and Amazon Web Service’s (AWS) to build sophisticated, enterprise-ready intelligent applications. Integrate AWS with the versatility of a document model and native Vector Search to ensure scalability, and security.
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Enhancing Developer Experience with AWS and MongoDB: Insights from Igor Alekseev
✅ Try MongoDB 8.0 → https://mdb.link/dG7t8KCP-as ✅ Sign-up for a free cluster → https://mdb.link/dG7t8KCP-as-free - In this episode, we catch up with Igor, Principal Partner Solutions Architect from AWS, as he shares insights on the collaboration between AWS and MongoDB. With a focus on enhancing developer experiences, we discuss the latest advancements in Amazon Q Developer, AI-driven migration and modernization tools, and the integration of MongoDB Atlas with AWS services.Nov 11, 2024 | 14 min
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Build an AWS Lambda Serverless function with PyMongo & MongoDB
✅ Sign-up for a free cluster at → https://mdb.link/free--ZSKyLspT3Q ✅ Get help on our Community Forums → https://mdb.link/community--ZSKyLspT3Q Follow along as MongoDB Developer Advocate Anaiya Raisinghani explains how to use AWS Lambda with PyMongo, MongoDB's Python Driver! This tutorial will take you through setting up an Atlas Cluster, establishing an AWS Lambda function, connecting the cluster to Lambda, and loading in/reading back specific information. Watch through the end for information on utilizing MongoDB's Aggregation Pipeline structure. 🔗 Resources 🔗 ✅ For an article format of this video along with code samples, please view our Developer Center → https://mdb.link/article--ZSKyLspT3Q ✅ Connect with Anaiya → https://www.linkedin.com/in/anaiyaraisinghani/ ✅ View more of Anaiya's content → https://www.mongodb.com/developer/search/?s=anaiya+raisinghani&sortMode=0 ------ Don't forget to like, share, and subscribe for more awesome tutorials! 🙌 ✅ Subscribe to our channel → https://mdb.link/subscribe
Sep 25, 2023
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Build an AWS Lambda Serverless function with Java and MongoDB
✅ Sign-up for a free cluster at → https://mdb.link/free-hMlUrnx9n84 ✅ Get help on our Community Forums → https://mdb.link/community-hMlUrnx9n84 👋 Hey there, welcome to this tutorial on Serverless Development with AWS Lambda and MongoDB Atlas using Java! If you're looking to build a scalable application without the hassle of managing infrastructure, you're in the right place. 🔍 What You'll Learn 🔍 → Set up a serverless function using AWS Lambda and Java → Connect your Lambda function to MongoDB Atlas → Best practices for dependency management with Gradle → Query data from MongoDB within your serverless function 🛠 Prerequisites 🛠 → AWS Lambda compatible version of Java → MongoDB Atlas instance deployed and configured → Amazon Web Services (AWS) account → Gradle or Maven for dependency management 📝 Key Takeaways 📝 → Cost-Efficiency: Serverless functions auto-scale, saving you from unnecessary infrastructure costs → Elasticity: MongoDB Atlas pairs perfectly with AWS Lambda's serverless architecture → Code Reusability: Learn how to write reusable MongoDB queries in Java → Security: Use environment variables for sensitive information like MongoDB Atlas URI → Deployment: Step-by-step guide to deploy your Java application to AWS Lambda 👀 Sample Code: We'll walk you through boilerplate AWS Lambda code for Java and Gradle tasks for building your project. You'll also learn how to query MongoDB collections based on user input. 🔗 Resources 🔗 ✅ Written article with code snippets → https://mdb.link/article-hMlUrnx9n84 ⏱️ Timestamps ⏱️ 00:00 - Intro 01:38 - Create a New Java Application 02:05 - Adding Gradle Dependencies for AWS Lambda and MongoDB 03:27 - Configure the Fat Jar in Gradle 04:47 - Create an AWS Lambda Function with Java 06:03 - Connect to MongoDB in Java 10:36 - Querying MongoDB in an AWS Lambda Function 13:58 - Build a Fat Jar of the AWS Lambda Application 14:38 - Navigating the AWS Lambda Dashboard 17:18 - Adding Match Criteria to a MongoDB Query 20:03 - A Review of the Project ------ Don't forget to like, share, and subscribe for more awesome tutorials! 🙌 ✅ Subscribe to our channel → https://mdb.link/subscribe
Sep 25, 2023
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Build an AWS Lambda Serverless function with Kotlin and MongoDB
✅ Sign-up for a free cluster at: https://mdb.link/free-lQ6g3QTf4eA ✅ Get help on our Community Forums: https://mdb.link/community-lQ6g3QTf4eA Learn how to build an AWS Lambda function with Kotlin that interacts with MongoDB and uses the Kotlin driver for MongoDB. 📚 Resources 📚 Gain access to the code from this video and a written set of instructions by navigating to this tutorial on the Developer Center: https://mdb.link/article-with-code-lQ6g3QTf4eA ------ ✅ Subscribe to our channel → https://mdb.link/subscribe
Sep 07, 2023
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Interact with MongoDB Atlas and AWS Lambda Functions
Learn more → https://mdb.link/atlas-in-aws-function-csharp Get started with C Sharp → https://mdb.link/start-c-sharp In this week’s AWS Cloud Connect, Hubert Nguyen, Sr. Developer Advocate at MongoDB, shares practical insights on building a C# AWS Lambda serverless function with MongoDB Atlas. He demonstrates efficient techniques for creating and sharing a MongoDB client and connecting multiple class instances. For those interested in serverless architecture and AWS Lambda, MongoDB Atlas offers flexibility and ease of use.
Sep 04, 2023
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Intro to MongoDB (Webinar)
Senior Developer Advocate Jesse Hall will showcase the unique advantages of the document data model and show you how to deploy an Atlas cluster. Jesse will present a demo of how to get started with MongoDB Atlas and walk you through how to: - Create your first cluster - Add an IP address - Add a database user - Load sample data using a Next.js - e-commerce demo app - Connect to the database Intro to MongoDB Docs → https://trymongodb.com/3KwjOrQ Subscribe to MongoDB ➡️ https://bit.ly/3bpg1Z1
Aug 08, 2023
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Atlas Vector Search Explained in 3 minutes
*Use the CC settings to toggle subtitles in English, Chinese (简体中文), French (Français), German (Deutsch), Italian (Italiano), Korean (한국인), Portuguese (Português), & Spanish (Español). Learn more → https://trymongodb.com/44dMMnG Blog post → https://trymongodb.com/46g7OUC Watch the full session → https://trymongodb.com/3Qk8wed By integrating the operational database and vector store in a single, unified, and fully managed platform — along with support integrations into large language models (LLMs) — Atlas Vector Search is a fast and easy way to build semantic search and AI-powered applications. View all .local NY sessions → https://trymongodb.com/mongodblocalnyc23 Subscribe to our channel → https://mdb.link/subscribe #MongoDBlocalNYC2023
Aug 04, 2023