Join us for this livestream to hear about how to elevate your development journey with MongoDB Atlas and Amazon CodeWhisperer. Unleash productivity, speed, and innovation through AI-driven code assistance. Amazon CodeWhispererer with a MongoDB-trained foundational model streamlines development, prototyping, and experimentation, all with less time coding.

Register for Atlas - <a href="https://mdb.link/CCAtlas19" target="_blank" rel="noreferrer">https://mdb.link/CCAtlas19</a>
MongoDB & CodeWhisperer - <a href="https://mdb.link/MDB&CW" target="_blank" rel="noreferrer">https://mdb.link/MDB&CW</a>
Learn More - <a href="https://mdb.link/CWGetStarted" target="_blank" rel="noreferrer">https://mdb.link/CWGetStarted</a>

Introducing MongoDB with Amazon CodeWhisperer

✅ Sign-up for a free cluster at → <a href="https://mdb.link/free--ZSKyLspT3Q" target="_blank" rel="noreferrer">https://mdb.link/free--ZSKyLspT3Q</a>
✅ Get help on our Community Forums → <a href="https://mdb.link/community--ZSKyLspT3Q" target="_blank" rel="noreferrer">https://mdb.link/community--ZSKyLspT3Q</a>

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 → <a href="https://mdb.link/article--ZSKyLspT3Q" target="_blank" rel="noreferrer">https://mdb.link/article--ZSKyLspT3Q</a>

✅ Connect with Anaiya → <a href="https://www.linkedin.com/in/anaiyaraisinghani/" target="_blank" rel="noreferrer">https://www.linkedin.com/in/anaiyaraisinghani/</a>
✅ View more of Anaiya's content → <a href="https://www.mongodb.com/developer/search/?s=anaiya+raisinghani&sortMode=0" target="_blank" rel="noreferrer">https://www.mongodb.com/developer/search/?s=anaiya+raisinghani&sortMode=0</a>

------
Don't forget to like, share, and subscribe for more awesome tutorials! 🙌
✅ Subscribe to our channel → <a href="https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe</a>

Build an AWS Lambda Serverless function with PyMongo & MongoDB

✅ Sign-up for a free cluster at → <a href="https://mdb.link/free-hMlUrnx9n84" target="_blank" rel="noreferrer">https://mdb.link/free-hMlUrnx9n84</a>
✅ Get help on our Community Forums → <a href="https://mdb.link/community-hMlUrnx9n84" target="_blank" rel="noreferrer">https://mdb.link/community-hMlUrnx9n84</a>

👋 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 → <a href="https://mdb.link/article-hMlUrnx9n84" target="_blank" rel="noreferrer">https://mdb.link/article-hMlUrnx9n84</a>

⏱️ 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 → <a href="https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe</a>

Build an AWS Lambda Serverless function with Java and MongoDB

✅ Sign-up for a free cluster at: <a href="https://mdb.link/free-lQ6g3QTf4eA" target="_blank" rel="noreferrer">https://mdb.link/free-lQ6g3QTf4eA</a>
✅ Get help on our Community Forums: <a href="https://mdb.link/community-lQ6g3QTf4eA" target="_blank" rel="noreferrer">https://mdb.link/community-lQ6g3QTf4eA</a>

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: <a href="https://mdb.link/article-with-code-lQ6g3QTf4eA" target="_blank" rel="noreferrer">https://mdb.link/article-with-code-lQ6g3QTf4eA</a>

------
✅ Subscribe to our channel → <a href="https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe</a>

Build an AWS Lambda Serverless function with Kotlin and MongoDB

Learn more → <a href="https://mdb.link/atlas-in-aws-function-csharp" target="_blank" rel="noreferrer">https://mdb.link/atlas-in-aws-function-csharp</a>
Get started with C Sharp → <a href="https://mdb.link/start-c-sharp" target="_blank" rel="noreferrer">https://mdb.link/start-c-sharp</a>

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.

Interact with MongoDB Atlas and AWS Lambda Functions

Note: Questions can only be asked through the Zoom Webinar, sign up here → <a href="https://trymongodb.com/3QrKldN" target="_blank" rel="noreferrer">https://trymongodb.com/3QrKldN</a>

Ready to begin your MongoDB Atlas adventures — but not sure where to start? Join our Intro to MongoDB webinar at 11am ET on Wednesday, August 9th to learn more!

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 → <a href="https://trymongodb.com/3KwjOrQ" target="_blank" rel="noreferrer">https://trymongodb.com/3KwjOrQ</a>



Subscribe to MongoDB  ➡️  <a href="https://bit.ly/3bpg1Z1" target="_blank" rel="noreferrer">https://bit.ly/3bpg1Z1</a>

Intro to MongoDB (Webinar)

Learn more → <a href="https://trymongodb.com/44dMMnG" target="_blank" rel="noreferrer">https://trymongodb.com/44dMMnG</a>
Blog post → <a href="https://trymongodb.com/46g7OUC" target="_blank" rel="noreferrer">https://trymongodb.com/46g7OUC</a>
Watch the full session → <a href="https://trymongodb.com/3Qk8wed" target="_blank" rel="noreferrer">https://trymongodb.com/3Qk8wed</a>

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 → <a href="https://trymongodb.com/mongodblocalnyc23" target="_blank" rel="noreferrer">https://trymongodb.com/mongodblocalnyc23</a>
Subscribe to our channel → <a href="https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe</a>
#MongoDBlocalNYC2023

AWS

Videos