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How to create AWS Lambda function – Guide

As an alternative to EC2 instances, many developers are turning to AWS Lambda. A Lambda function can be created in two ways.

AWS Lambda streamlines and accelerates software development and maintenance for teams. Users do not need to manage any servers with AWS Lambda. They have the ability to automate complicated operational routines and application components. Serverless infrastructure is the term for this type of configuration.

Lambda functions, which include a granular piece of code that performs a specified operation, are the main features of AWS Lambda. Users load source code and set parameters like these to implement a Lambda function:

triggers sversions saliases smemory spermissionsDatabase proxies for virtual private cloud (VPC) concurrency targets Handling errors in Elastic File System

How to launch Lambda functions from AWS console

There are many ways to launch Lambda functions. The simplest uses the AWS Management Console. Developers specify source code using the integrated development environment in the UI. From here, configure other settings, such as identity and access management (IAM) permissions or environment variables.

Step 1

An easy way to create an AWS Lambda function is through the Create function button on the Lambda console. The console method adapts to early stages of development rather than production applications.

Step 2

After clicking on the Create function button, the next screen shows various options for the function code. Familiarize yourself with all these options for working with Lambda functions:

Author from scratch. Create your own code from a Hello World example.

Use a project. AWS code plans include integrated AWS integrations with other services and common uses. These blueprints can save a significant amount of time when developing Lambda functions.

Container image. Container images stored in the Amazon Elastic Container Registry are also useful for launching new Lambda functions.

Browse the serverless application repository. In the AWS Serverless Application Repository, users can find several useful products.

For this example, select Author from scratch to create the role.

step 3

Let’s proceed with a Lambda function built from scratch. Basic configuration fields include role name, runtime, and permissions. Supported runtimes include programming languages like Node.js, Go, Python, Ruby, Java, C# and .NET. Lambda also supports custom runtimes, which a developer can implement in any language that can be compiled on Amazon Linux OS. Be aware that AWS adds new runtimes and versions to this list on an ongoing basis.

IAM roles grant permissions to Lambda roles. The default option is limited to writing data to Amazon CloudWatch logs. If a Lambda role requires permissions to call other AWS APIs, you will need to grant sufficient IAM permissions to other AWS services.

The Advanced Settings section displays settings such as code signing and VPC. Code signing adds an extra layer of security to Lambda code. This ensures that the code has not changed since a certain point in time. An example is Amazon Relational Database Service instances with public access disabled.

VPC configurations allow serverless developers to deploy Lambda functions in a VPC with access to private resources. Another example is Amazon ElastiCache clusters accessible only through VPC and DynamoDB tables with VPC endpoints enabled.

After creating the Lambda function, add any other settings in the console. Options include triggers.

How to use AWS SAM

The console is a quick way to get started with functions, but it’s not recommended for production-level applications. The console does not provide a consistent, automated way to initiate and maintain Lambda functions at different stages of deployment. It also lacks an easy way to version code and handle potential rollback scenarios.

The vendor recommends AWS SAM for deploying and maintaining Lambda functions. SAM provides a mechanism to develop, test, configure, and maintain functions using infrastructure as code. The SAM framework defines roles using a template in YAML format. Function and deployment tests occur through the command-line interface. This approach allows application teams to follow CI / CD best practices. The configuration parameters mentioned above can go in a SAM template.

Follow these best practices in the SAM approach:

Group roles in a template. To deploy functions using SAM, group all functions and other relevant components such as API gateways, REST APIs and DynamoDB tables in the same template.

Take advantage of native tools for automatic deployment. Automate deployment of Lambda functions using services such as AWS CodeBuild and AWS CodePipeline.

Integrate Lambda functions. To separate code from application configuration, integrate Lambda functions with services such as AWS Secrets Manager or AWS Systems Manager Parameter Store. the developer defines up the Lambda function to fetch relevant parameters from these AWS services, rather than hard-coding the information in the app or allowing insecure access.

Manage application-level settings. Consider the AWS AppConfig Lambda extension to manage application-level settings.

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