Build an AWS Lambda Serverless function with Java and MongoDB

Veröffentlicht am: 01 Januar 1970
auf dem Kanal: MongoDB

1,466

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👋 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

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