🟢 Creating and Using AWS Lambda Layers: A Complete Guide

📘 What are AWS Lambda Layers?

AWS Lambda Layers allow you to manage shared libraries, custom runtimes, or configuration files that can be reused across multiple Lambda functions. This provides a modular approach to managing dependencies and …


This content originally appeared on DEV Community and was authored by Softden 2005

📘 What are AWS Lambda Layers?

AWS Lambda Layers allow you to manage shared libraries, custom runtimes, or configuration files that can be reused across multiple Lambda functions. This provides a modular approach to managing dependencies and common code, enabling easy updates and centralization of resources.

🛠️ Why Use AWS Lambda Layers?

  • Reusability: Shared libraries can be reused across multiple Lambda functions.
  • Separation of Concerns: Keeps the Lambda codebase smaller by externalizing dependencies.
  • Centralized Management: Libraries are maintained in one location and updated easily.
  • Version Control: Layers can have multiple versions, allowing fine-grained control over the libraries used by each function.
  • Optimized Deployment: By separating dependencies, the core Lambda package size is minimized.

📅 When to Use AWS Lambda Layers?

Use Lambda Layers when:

  • Multiple Lambda functions need the same dependencies.
  • You need a custom runtime.
  • There is a need for efficient dependency management.
  • You want to optimize deployment package size and manage shared libraries centrally.

🏗️ How to Create and Use AWS Lambda Layers?

Step-by-Step Process:

  1. Create the Folder:

    • On your local machine, create a folder named nodejs (required name for Node.js Lambda layers).

  2. Initialize the Node.js Project:

    • Open a terminal in the nodejs folder and run: 
     npm init -y

  3. Install the Required Package:

    • For example, to install the uuid package, run: 
     npm install uuid

  4. Create the Layer Zip File:

    • Zip the contents of the nodejs folder to create the layer: 
     zip -r layer.zip nodejs

  5. Upload the Layer to AWS Lambda:

    • In the AWS Console, go to Lambda → Layers → Create Layer.
    • Upload the layer.zip file, specify the runtime (e.g., Node.js), and click Create.

  6. Attach the Layer to Your Lambda Function:

    • In your Lambda function, go to Configuration → Layers → Add a Layer.
    • Select your custom layer and attach it.

  7. Use the Layer in Your Lambda Code:

    • In your Lambda function code, require the library from the layer: 
     const { v4: uuidv4 } = require('uuid');

 exports.handler = async (event) => {
   const id = uuidv4();
   return {
     statusCode: 200,
     body: JSON.stringify({ uuid: id }),
   };
 };

⚙️ Best Practices for AWS Lambda Layers

  • Keep Layers Small: Only include necessary files to avoid bloated layers.
  • Use Versioning: Always track and manage versions of your layers.
  • Test Thoroughly: Before deploying in production, test your layers in staging environments.
  • Security: Do not include sensitive information (e.g., credentials) in layers.

⭐ Key Takeaways

  • What: AWS Lambda Layers allow sharing of libraries and custom runtimes across multiple Lambda functions.
  • Why: They promote reusability, efficient dependency management, and optimized package size.
  • How: You create a nodejs folder, install the required libraries, zip it, and upload it as a Lambda Layer, which can be attached to multiple Lambda functions.
  • When: Use Lambda Layers when managing shared dependencies across functions, creating custom runtimes, or optimizing deployment sizes.


This content originally appeared on DEV Community and was authored by Softden 2005


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