How to Install Nuxt.js on AWS?

Best Hosting Solutions to Buy in January 2026

1

Steadfast Self-Hosting: Rapid-Rise Personal Cloud

BUY & SAVE

$25.00

2

Cloud Spotting for Beginners: The Quick & Easy Full-Color Sky Guide to Instantly Identify Every Cloud, Predict 24-Hour Weather, Capture Stunning Photos Using Only Your Smartphone, No Jargon, No Gear

BUY & SAVE

$20.99

3

Embracing the Power of Cloud Hosting for Banking Solutions: A Handful Guide for Professionals

BUY & SAVE

$18.44

4

Murach's Oracle SQL and PL/SQL Professional Data Analytics Guide for Database Development & Cloud Hosting - Learn Efficient Statements, Stored Procedures & Database Design (3rd Edition)

BUY & SAVE

$53.55

5

Cloud Native DevOps with Kubernetes: Building, Deploying, and Scaling Modern Applications in the Cloud

BUY & SAVE

$49.49 $89.99

Save 45%

6

KEIKI 78.8" Compressible Double Chaise Lounge, Oversized Cloud Couch for Family Lounging and Casual Hosting, Boneless Chaise Lounge Indoor with Plush Spring Cushions, No Assembly Needed

• EXCEPTIONAL COMFORT WITH HIGH-DENSITY SPRING PADDING FOR LASTING RELAXATION.

• PREMIUM CORDUROY FABRIC OFFERS DURABILITY AND MODERN CHARM FOR ANY DECOR.

• VERSATILE DOUBLE CHAISE DESIGN ADAPTS TO COUPLES, FAMILIES, AND GUESTS.

BUY & SAVE

$377.97 $429.99

Save 12%

7

The Complete Technology Mastery Guide: Master Everything from Self-Hosting to AI, Cybersecurity to Quantum Computing — All in One Book

BUY & SAVE

$11.99

+

ONE MORE?

To install Nuxt.js on AWS, follow these steps:

1. Launch an EC2 instance: Login to your AWS account and navigate to the EC2 dashboard. Launch a new EC2 instance using the desired instance type, operating system, and security group settings.
2. Connect to the EC2 instance: Once the instance is launched, connect to it using SSH or RDP, depending on the operating system of the instance.
3. Install Node.js and npm: Update the package lists using the following command: For Ubuntu, run: sudo apt update For Amazon Linux, run: sudo yum update Install Node.js and npm using the appropriate command for your operating system: For Ubuntu, run: sudo apt install nodejs npm For Amazon Linux, run: sudo yum install nodejs npm
4. Install Nuxt.js: Once Node.js and npm are installed, you can install Nuxt.js using npm. Run the following command: sudo npm install -g create-nuxt-app
5. Generate a Nuxt.js project: After Nuxt.js is installed, generate a new Nuxt.js project using the following command: npx create-nuxt-app my-nuxt-project Replace my-nuxt-project with the desired name of your project.
6. Configure the project settings: During the project generation process, you will be prompted to answer various questions related to project configuration. Choose the options that suit your requirements or leave them as default by pressing the Enter key.
7. Start the Nuxt.js application: Once the project is generated, navigate to the project directory using the following command: cd my-nuxt-project Build and start the Nuxt.js application by running: npm run build npm start
8. Access the Nuxt.js application: Nuxt.js will start running on the default port 3000. To access the application, open a web browser and enter the public IP address or the domain associated with your EC2 instance followed by :3000. For example, http://:3000.

How to secure an EC2 instance with a key pair?

To secure an EC2 instance with a key pair, follow these steps:

1. Generate a key pair: Go to the EC2 Dashboard in the AWS Management Console. Click on "Key Pairs" in the left navigation pane. Click on "Create Key Pair" and give it a unique name. Choose a private key file format, such as "PEM," and then click on "Create Key Pair." Save the private key file securely on your local machine.
2. Launch an EC2 instance: Go to the EC2 Dashboard and click on "Launch Instance." Choose the desired AMI, instance type, and other configurations as per your requirements. In the "Configure Instance Details" section, you can configure additional settings as needed. In the "Configure Security Group" section, ensure that you allow SSH access (port 22) from your IP address or a specific range. In the "Configure Key Pair" section, select the key pair you created in Step 1. Complete the launch process and wait for the instance to be ready.
3. Connect to the EC2 instance: Open a terminal or SSH client on your local machine. Set the permissions of the private key file: chmod 400 /path/to/private/key.pem. Connect to the instance using SSH: ssh -i /path/to/private/key.pem ec2-user@, replacing public-IP with the actual public IP address of your EC2 instance. If you are using a different key pair or a different username, modify the SSH command accordingly.
4. Disable password-based authentication (optional but recommended): Once connected to the EC2 instance, open the SSH configuration file: sudo nano /etc/ssh/sshd_config. Look for the line PasswordAuthentication yes and change it to PasswordAuthentication no. Save the file and exit the editor. Restart the SSH service: sudo service ssh restart.

By following these steps, your EC2 instance will be secured with a key pair, ensuring that only clients with the matching private key can authenticate and access the instance.

How to use AWS Lambda functions with a Nuxt.js application?

To use AWS Lambda functions with a Nuxt.js application, you can follow these steps:

1. Create your Nuxt.js application using the Vue CLI by running the following command in your terminal: npx create-nuxt-app
2. Install the aws-sdk package in your Nuxt.js application by running the following command: npm install aws-sdk
3. Create a new folder called lambda at the root of your Nuxt.js application. Inside the lambda folder, create a file for your Lambda function, e.g., my-function.js. This file will contain the code for your Lambda function.
4. Write your Lambda function code inside the my-function.js file. You can use the aws-sdk package to interact with AWS services. Here's an example of a basic Lambda function: const AWS = require('aws-sdk'); const dynamoDB = new AWS.DynamoDB.DocumentClient(); exports.handler = async (event, context) => { try { // Your Lambda function code here // e.g., fetch data from DynamoDB and return it const params = { TableName: 'my-table', Key: { id: '123' } }; const data = await dynamoDB.get(params).promise(); return data.Item; } catch (error) { return { statusCode: 500, body: JSON.stringify({ message: error.message }) }; } };
5. Deploy your Lambda function to AWS: If you're using the AWS CLI, run the following command in your terminal (ensure you have configured your AWS credentials with the CLI): aws lambda create-function --function-name my-function --handler lambda/my-function.handler --runtime nodejs14.x --role --zip-file fileb://lambda/my-function.js.zip Replace with the ARN of the IAM role that has the necessary permissions to execute the Lambda function and access any required AWS services. Alternatively, you can deploy your Lambda function using the AWS Management Console or any other deployment automation tool like AWS SAM or Serverless Framework.
6. Once your Lambda function is deployed, you can invoke it from your Nuxt.js application by making an HTTP request to the Lambda function's API endpoint using libraries like axios or the built-in fetch in JavaScript. // Inside your Nuxt.js pages or components import axios from 'axios'; export default { async fetch() { const response = await axios.get('/my-function-api-endpoint'); // Process the response as needed console.log(response.data); } }; Replace /my-function-api-endpoint with the API endpoint of your deployed Lambda function.

That's it! You have now integrated AWS Lambda functions with your Nuxt.js application.

What is AWS Auto Scaling?

AWS Auto Scaling is a service provided by Amazon Web Services that allows users to automatically adjust the number of resources, such as EC2 instances or ECS tasks, based on the demands of their applications or workloads. It helps optimize the use of AWS resources by automatically scaling up or down based on predefined rules, maintaining performance and optimizing costs. Auto Scaling uses scaling plans and scaling policies to scale resources in response to changing conditions. It can also be integrated with other AWS services, such as Amazon CloudWatch, to monitor and manage application performance.