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Integrate multiple AWS services to build a multi-tier application - Day 99

Hello Readers! As we approach the grand finale of our #100DaysOfAWS series, we're going to do a project that's the culmination of everything we've learned. Today, on Day 99, we're going to create a multi-tier application by seamlessly integrating multiple AWS services. This is where theory meets practice, and we'll navigate through the process together, step by step.

Understanding the Concept:

Before we jump into the practical aspect, let's get our bearings. A multi-tier application is like a perfectly orchestrated symphony. It consists of different layers, each with its own role and responsibility. In our case, we'll have the frontend, backend, and a database layer, each interacting harmoniously to deliver a seamless user experience.

Setting Up the Frontend:

Our journey begins with the frontend - the part users interact with. For this, we'll utilize AWS Amplify, a service that simplifies the process of building and deploying web applications.

Amplify Initialization:

To kick things off, install the Amplify CLI and initialize your project.

npm install -g @aws-amplify/cli
amplify init

Creating Components:

Develop the frontend components using frameworks like React or Vue. Amplify supports various libraries, so choose the one that aligns with your preference.

Authentication Integration:

Integrate user authentication effortlessly with Amplify. It provides a straightforward way to set up authentication flows, from sign-up to login.

Building the Backend:

Next, let's look into the backend. For this, we'll use AWS Lambda and API Gateway to create serverless functions that power our application.

Lambda Functions:

Write serverless functions using Node.js or Python. These functions will handle the business logic of your application.

// Example Lambda function
exports.handler = async (event) => {
    // Your logic here
    return {
        statusCode: 200,
        body: JSON.stringify('Hello from Lambda!'),

API Gateway Integration:

Create an API using API Gateway and link it to your Lambda functions. This establishes a secure and scalable communication channel between your frontend and backend.

Database Layer with Amazon DynamoDB:

For our database layer, we'll employ Amazon DynamoDB, a fully managed NoSQL database service.

DynamoDB Table Creation:

Define the schema and create a DynamoDB table. Specify the primary key and any secondary indexes needed for efficient queries.

Database Operations in Lambda:

Integrate DynamoDB operations within your Lambda functions to interact with the database.

const AWS = require('aws-sdk');
const dynamoDB = new AWS.DynamoDB.DocumentClient();
exports.handler = async (event) => {
    // Example: Read from DynamoDB
    const params = {
        TableName: 'YourTableName',
        Key: {
            userId: '123',
    const result = await dynamoDB.get(params).promise();
    return {
        statusCode: 200,
        body: JSON.stringify(result),

Putting It All Together:

Now that we have the frontend, backend, and database components, it's time to connect the dots.

Amplify Update:

Update your Amplify project to reflect the changes made in the backend and database.

amplify push


Test your application locally to ensure everything is working seamlessly.


Once satisfied with the local testing, deploy your application using the Amplify CLI.

amplify publish

As we conclude Day 99, you've not only learned about the individual components but also integrated them into a cohesive multi-tier application. This project is a testament to your journey through the diverse landscape of AWS services.

Stay tuned for the grand finale on Day 100, where we'll reflect on our achievements and explore avenues for continued AWS exploration.

Thank you for reading!

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