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Launching an Application on AWS Beanstalk

Last Updated : 29 May, 2026

AWS Elastic Beanstalk is a fully managed service that simplifies hosting web applications by automatically provisioning and managing the underlying infrastructure. Developers provide their code, and Elastic Beanstalk handles the rest.

  • Virtual machines, load balancers, operating systems, language runtimes, and web servers are all provisioned automatically.
  • Supports Java, .NET, PHP, Node.js, Python, Ruby, and Go.
  • Runs on Apache, Nginx, Passenger, and IIS depending on the platform.
  • Elastic Beanstalk itself has no additional charge — you pay only for the underlying AWS resources it provisions.
  • A single application can have multiple environments such as dev, staging, and prod running simultaneously.

Core Elastic Beanstalk Concepts

  • Application: A logical container for your entire project. Think of it as a folder that holds multiple versions and environments.
  • Environment: The actual running instance of your application — the collection of AWS resources (EC2, Load Balancer, Auto Scaling Group, etc.) that Elastic Beanstalk creates and manages on your behalf.
  • Application Version: A specific packaged snapshot of your code, typically a .zip or .war file.
  • Platform: The full technology stack your application runs on, combining the operating system, language runtime, web server, and application server (e.g., Python on Amazon Linux 2 with Gunicorn, or Go on Amazon Linux 2).

Launching a Sample Application

Step 1: Log in to your AWS account, search for Elastic Beanstalk in the main search bar, and select it to open the service dashboard.

👁 ElasticBeanstalk

Step 2: Create a New Application

  • Click Create application from the dashboard.
  • In the configuration wizard, select Web server environment as the environment tier.
  • Under Application information, enter a name such as my-first-gfg-app.
👁 environment

Step 3: Configure the Environment

  • Leave the Environment name as auto-generated, or customize it.
  • Leave the Domain field blank for an auto-generated subdomain, or enter a preferred value.
  • Under Platform, select your technology stack from the dropdown (e.g., Python). Elastic Beanstalk will pre-install the appropriate runtime and web server.
👁 environment information
👁 choosing environment

Step 4: Select Sample application to deploy a pre-built application provided by AWS. This is the recommended option for first-time setup, as it is guaranteed to work and confirms that your environment is configured correctly.

👁 Application code

Step 5: Review and Launch

  • Click Next to skip optional advanced configuration pages.
  • On the final review page, acknowledge the service role creation required for Elastic Beanstalk to manage resources on your behalf.
  • Click Submit.
👁 creating environment

Step 6: You will be taken to the environment launch dashboard. Elastic Beanstalk provisions a complete infrastructure stack in the background. The event log will display each resource as it is created:

  • S3 Bucket: Stores your application versions.
  • Security Group: Acts as a firewall controlling instance traffic.
  • EC2 Instance: The virtual server running your application.
  • Auto Scaling Group: Manages instance count based on load.
  • Elastic Load Balancer: Distributes incoming traffic across instances.
  • CloudWatch Alarms: Monitors health and performance metrics.

Note: This process typically takes 5–10 minutes to complete.

👁 select environment

Step 7: Access Your Live Application

  • Once launch completes, the health status turns green with an "Ok" status.
  • Click the Domain URL displayed at the top of the dashboard (e.g., my-first-gfg-app-env.eba-xyz.us-east-1.elasticbeanstalk.com).
  • Your live sample application will open in a new browser tab.
👁 successful launch of web app

Cleaning Up

Elastic Beanstalk is free, but the AWS resources it provisions (such as EC2 instances) incur charges. Always terminate your environment after practice.

  • Navigate to your environment's dashboard.
  • Click the Actions dropdown in the top-right corner.
  • Select Terminate environment.
  • Confirm by typing the environment name and clicking Terminate.

Note: Terminating the environment deletes all associated AWS resources that were provisioned during creation.

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