How do I deploy a Python Docker image on AWS Lambda with TypeScript?

In this guide, we will deploy a Python Docker image on AWS Lambda using Pulumi and TypeScript. Pulumi allows us to define and manage cloud infrastructure using code. We will create an AWS Lambda function that uses a Docker image for its code execution. This approach leverages AWS Lambda’s support for container images, enabling the use of custom runtime environments.

Key Points

• We will use Pulumi to define the cloud infrastructure.
• The Lambda function will be created using a Docker image containing Python code.
• We will configure the necessary IAM roles and permissions for the Lambda function.

Detailed Steps

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

// Define the IAM role for the Lambda function
const lambdaRole = new aws.iam.Role("lambdaRole", {
    assumeRolePolicy: aws.iam.assumeRolePolicyForPrincipal({ Service: "lambda.amazonaws.com" }),
});

// Attach the AWSLambdaBasicExecutionRole policy to the role
new aws.iam.RolePolicyAttachment("lambdaRoleAttachment", {
    role: lambdaRole,
    policyArn: aws.iam.ManagedPolicies.AWSLambdaBasicExecutionRole,
});

// Define the Docker image URI (replace with your actual ECR image URI)
const imageUri = "123456789012.dkr.ecr.us-west-2.amazonaws.com/my-python-lambda:latest";

// Create the Lambda function using the Docker image
const lambdaFunction = new aws.lambda.Function("pythonDockerLambda", {
    packageType: "Image",
    imageUri: imageUri,
    role: lambdaRole.arn,
    timeout: 60, // Set timeout to 60 seconds
});

// Export the Lambda function's ARN
export const lambdaFunctionArn = lambdaFunction.arn;

Summary

In this guide, we created an AWS Lambda function using Pulumi and TypeScript. The Lambda function runs a Python Docker image, allowing for custom runtime environments. We defined the necessary IAM role and permissions and configured the Lambda function to use the Docker image. This approach leverages AWS Lambda’s support for container images, providing flexibility in runtime environments.