Are you tired of managing servers for your applications? AWS Lambda might be the solution for you. This function-based service can streamline development and maintenance by automating your operational routines and application components. In this guide, we will show you how to create an AWS Lambda function using the AWS Serverless Application Model (SAM) and the AWS Management Console.
How to Create an AWS Lambda Function
Creating an AWS Lambda function is easy and can be done in two ways: through the AWS Management Console or with AWS SAM. Let’s walk through each method.
Creating an AWS Lambda Function with the AWS Management Console
To create an AWS Lambda function with the AWS Management Console, follow these simple steps:
- Step 1: Click on the “Create function” button in the AWS Lambda console.
- Step 2: Select a code option, including authoring from scratch or using a blueprint.
- Step 3: Configure the basic settings, including the function name, runtime, and IAM role (permissions).
- Step 4: Add any advanced settings, such as VPC configurations and code signing.
Creating an AWS Lambda Function with the AWS Serverless Application Model (SAM)
The AWS Serverless Application Model (SAM) is a more efficient and automated way to deploy and maintain your Lambda functions. To create an AWS Lambda function with SAM, follow these best practices:
- Group functions in a template: Group all the functions and relevant components in the same YAML-formatted template.
- Use native tools for automated deployment: Automate deployment using services like AWS CodeBuild and AWS CodePipeline.
- Integrate Lambda functions: Integrate your Lambda functions with AWS services like Secrets Manager for secure access.
- Manage application-level configurations: Consider using AWS AppConfig Lambda extension for managing application-level configurations.
Frequently Asked Questions (FAQs)
What is AWS Lambda?
AWS Lambda is a compute service from Amazon Web Services that runs your code in response to events and automatically manages the computing resources required by that code.
What is the AWS Serverless Application Model (SAM)?
The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides a simplified way of defining the Amazon API Gateway APIs, AWS Lambda functions, and Amazon DynamoDB tables needed by your serverless application.
What programming languages does AWS Lambda support?
AWS Lambda supports programming languages like Node.js, Go, Python, Ruby, Java, C#, and .NET. They also support custom runtimes, so you can use any language that can be compiled on the Amazon Linux operating system.
Can AWS Lambda functions be integrated with other AWS services?
Yes, AWS Lambda functions can be integrated with other AWS services like Secrets Manager and Systems Manager Parameter Store for secure access and separation from application configuration information.
Wrap Up
Creating an AWS Lambda function is a simple process. You can use the AWS Management Console for testing and development or use the efficient and automated AWS Serverless Application Model (SAM) for production applications. By following best practices like group functions in a template and integrating your Lambda functions with other AWS services, you can create a powerful and secure serverless application.
