Deploy the alpine/mariadb docker image on AWS Lambda with TypeScript.
Instructions
To deploy the alpine/mariadb
Docker image on AWS Lambda using Pulumi with TypeScript, we will follow these steps:
- Introduction: We’ll start with an introductory paragraph about the solution and the key services involved.
- Step-by-Step Explanation: We’ll provide a detailed step-by-step guide on how to achieve this deployment.
- Key Points: We’ll highlight the key points to consider during this deployment.
- Conclusion: We’ll conclude with a summary of the deployment process.
Introduction:
In this guide, we will deploy the alpine/mariadb
Docker image on AWS Lambda using Pulumi with TypeScript. This solution leverages AWS Lambda for serverless computing, Amazon ECR for storing Docker images, and Pulumi for infrastructure as code. AWS Lambda allows us to run code without provisioning or managing servers, and Amazon ECR provides a secure, scalable, and reliable registry for Docker images. Pulumi enables us to define, deploy, and manage cloud infrastructure using familiar programming languages.
Step-by-Step Explanation:
- Set up Pulumi and AWS CLI: Ensure you have Pulumi and AWS CLI installed and configured on your machine.
- Create a new Pulumi project: Initialize a new Pulumi project with TypeScript.
- Define AWS resources: Define the necessary AWS resources, including an ECR repository and a Lambda function.
- Build and push Docker image: Build the
alpine/mariadb
Docker image and push it to the ECR repository. - Deploy Lambda function: Deploy the Lambda function using the Docker image from the ECR repository.
Key Points:
- Ensure AWS credentials are configured correctly.
- Use Pulumi’s
@pulumi/aws
package to define AWS resources. - Use Docker CLI to build and push the Docker image to ECR.
- Ensure the Lambda function has the necessary permissions to access the ECR repository.
Conclusion:
By following this guide, you have successfully deployed the alpine/mariadb
Docker image on AWS Lambda using Pulumi with TypeScript. This solution demonstrates the power of serverless computing and infrastructure as code, enabling you to deploy and manage cloud resources efficiently and effectively.
Code Example
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
import * as awsx from "@pulumi/awsx";
// Create an ECR repository
const repo = new aws.ecr.Repository("mariadb-repo");
// Build and push the Docker image to ECR
const image = new awsx.ecr.Image("mariadb-image", {
repositoryUrl: repo.repositoryUrl,
dockerfile: "./Dockerfile"
});
// Create an IAM role for the Lambda function
const role = new aws.iam.Role("lambda-role", {
assumeRolePolicy: aws.iam.assumeRolePolicyForPrincipal({
Service: "lambda.amazonaws.com"
})
});
// Attach the necessary policies to the role
new aws.iam.RolePolicyAttachment("lambda-role-policy", {
role: role.name,
policyArn: aws.iam.ManagedPolicies.AWSLambdaBasicExecutionRole
});
// Create the Lambda function using the Docker image from ECR
const lambda = new aws.lambda.Function("mariadb-lambda", {
packageType: "Image",
imageUri: image.imageUri,
role: role.arn,
timeout: 300,
memorySize: 512
});
// Grant necessary permissions to the Lambda function
new aws.lambda.Permission("lambda-permission", {
action: "lambda:InvokeFunction",
function: lambda.name,
principal: "*"
});
export const repositoryUrl = repo.repositoryUrl;
export const lambdaArn = lambda.arn;
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