Connect EC2 Instance to AWS API Gateway

Connecting an EC2 instance to the AWS API Gateway can enable you to securely expose and manage your server’s APIs through a highly scalable, managed gateway. Here’s a step-by-step guide:

Step 1: Launch and Configure Your EC2 Instance

1. Log in to AWS Console:

Go to the AWS Management Console and navigate to the EC2 service.

2. Launch EC2 Instance:

Select “Launch Instance,” choose your desired Amazon Machine Image (AMI) (e.g., Amazon Linux 2), instance type, and other configurations.

3. Configure Security Group:

Ensure the security group for the EC2 instance allows inbound traffic on the necessary ports (e.g., 80 for HTTP or 443 for HTTPS).

4. Install Necessary Software:

If your EC2 instance hosts a web server, such as Apache or Nginx, install and configure it as needed to serve your API.

5. Obtain the Public DNS or IP:

After launching the instance, note its public DNS or IP address, as this will be required for the API Gateway configuration.

Step 2: Set Up API Gateway

1. Go to API Gateway in AWS Console:

In the AWS Management Console, search for API Gateway and select it.

2. Create a New API:

Choose Create API and select HTTP API if you want a simple HTTP endpoint, or REST API if you need additional features.

Provide a name and description for the API, then click Create.

3. Configure the API Endpoint:

After creating the API, go to Routes to add a new route.

Specify the route path (e.g., /myapi) and choose the HTTP method you’ll use (e.g., GET, POST).

4. Set up Integration Target:

Under Integrations, select Add Integration.

Choose HTTP as the integration type.

In the Endpoint URL field, enter the public DNS or IP address of your EC2 instance with the relevant path (e.g., http://ec2-public-dns-or-ip/myapi).

Select Create to link this endpoint to your API Gateway.

Step 3: Configure Method Request and Response

1. Method Request Configuration:

Go to your method (e.g., GET or POST) and configure any necessary query parameters, headers, or authorization requirements under the Method Request section.

2. Set Up Method Response:

Define responses under Method Response. For example, you may add response mappings to interpret HTTP status codes from your EC2 instance (e.g., 200 OK, 404 Not Found).

3. Map Integration Response:

Configure response mappings under Integration Response if needed, allowing API Gateway to transform backend responses to fit your API’s design.

Step 4: Configure CORS (Cross-Origin Resource Sharing)

1. Enable CORS:

In Settings for the route or method, enable CORS to allow external domains to access your API.

Specify allowed methods (e.g., GET, POST) and headers required for your API.

Step 5: Deploy the API

1. Deploy API:

Go to the Deployments section in API Gateway.

Choose Create to deploy a new version of your API.

Name the deployment stage (e.g., prod for production) and click Deploy.

2. Get the Endpoint URL:

Once deployed, you will receive a unique API endpoint URL from API Gateway. This URL can now be used to access your EC2-hosted API.

Step 6: Test the API Gateway and EC2 Integration

1. Open a Browser or API Client:

Use a browser, Postman, or another API client to access the API Gateway endpoint URL. Append the relevant path to access your API (e.g., https://api-id.execute-api.region.amazonaws.com/prod/myapi).

2. Send a Request:

Send an HTTP request to the endpoint. The request should be routed to your EC2 instance, and the response should return via API Gateway.

3. Verify the Response:

Confirm that the API Gateway properly routes requests to your EC2 instance and that responses return as expected.


Additional Tips for Security and Optimization

1. Use AWS IAM for Secure Access:

Set up AWS IAM roles to secure access to the API Gateway, allowing specific users or applications to call the API.

2. Enable SSL:

To secure the connection, consider enabling SSL on your EC2 instance and API Gateway to handle HTTPS requests.

3. Monitor and Scale:

Enable AWS CloudWatch monitoring on both API Gateway and EC2 to observe traffic patterns, identify bottlenecks, and scale as necessary.

The article above is rendered by integrating outputs of 1 HUMAN AGENT & 3 AI AGENTS, an amalgamation of HGI and AI to serve technology education globally.

(Article By : Himanshu N)