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Step into Serverless Architecture: Building a Simple FaaS example with AWS Lambda

Serverless architecture has taken the tech world by storm with its pay-as-you-go model, automatic scaling, and no server management. Today we will deep dive into this world by exploring AWS Lambda – Amazon Web Services’ Function-as-a-Service (FaaS) offering.

Step 1: Setting Up AWS Account
If you haven’t done so already, you’ll want to set up an AWS account. It’s a straight-forward process, and AWS offers a free tier for new customers, allowing you to experiment with most services at no cost.

Step 2: Understanding ‘Lambda’
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying computation for you. This allows developers to focus on building the applicatıon logıc without worrying about servers, runtimes, or infrastructure. The term that is key here is event-driven. AWS Lambda can run a function whenever a specified event occurs.

Step 3: Creating a Lambda Function
Let’s create a simple Lambda function. In your AWS console, navigate to the “Lambda” service and click “Create function.” You can choose a blueprint or create from scratch. For this tutorial, let’s create a simple “Hello, World” function in Node.js. Choose appropriate roles for Lambda (usually Lambda execution role) and create the function. You should see an in-browser code editor with a file named “index.js.”

Step 4: Understanding Lambda Function Code
The handler is the method in your Lambda function that processes events. AWS Lambda passes the event data to this handler as the first parameter.

Your ‘index.js’ could look something like:

exports.lambdaHandler = async (event, context) => {
    return {
        'statusCode': 200,
        'body': JSON.stringify({
            message: 'hello, world',
        })
    }
};

Step 5: Testing your Lambda function
In the console, you can set up a test event by Clicking on “Test” at the top. Input any JSON format data (or use default), give your test a name, and click “Create”. Once created, you can click “Test” again to run your function.

Step 6: Deploying Your Function
Once your code is working as expected, click the ‘Deploy’ button. You can now trigger your function via an API Gateway, S3 bucket, or other AWS triggers.

Step 7: Reviewing Logs
After your function has been invoked, you can check the logs in CloudWatch.

Success! You now have a functioning AWS Lambda function. This just scratches the surface of what’s possible with serverless architecture, opening up new possibilities with both scale and intricacy. Serverless architecture enables you to go beyond the limits of traditional compute environments.

Happy coding!

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