AWS announced some big updates to its Lambda serverless function service today. For starters, starting today it will be able to deliver functions with up to 10 GB of memory and 6 vCPUs (virtual CPUs).

AWS Lambda—and other event-driven, “function-as-a-service” platforms such as Microsoft Azure Functions, Google Cloud Functions, and IBM OpenWhisk—simplify development by abstracting away ...

You can deploy an AWS Lambda function in two different ways, either by using the AWS Toolkit for Visual Studio or by using the AWS Console. In this example, we’ll use the AWS Toolkit to deploy ...

AWS also noted the switch to an open source Lambda runtime client, one of many projects that Amazon has open sourced and placed in the aws/aws-lambda-dotnet GitHub repository over the past few years.

AWS Lambda Python example. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS Management Console’s built-in code editor first loads with a pre-existing, ...

Amazon Web Services has made the option of using Graviton2 Arm-based processors for Lambda functions generally available. The functionality is offered in Mumbai, Singapore, Sydney, Tokyo ...

For now, the preview offering only supports Lambda functions leveraging REST APIs, but AWS hopes to simplify other event sources like S3 and DynamoDB events in the future. More information can be ...

Now, with SnapStart, AWS is addressing this by creating snapshots of a customer’s Lambda functions and then simply starting those up without having to go through the usual initialization process.

AWS announced some big updates to its Lambda serverless function service today. For starters, starting today it will be able to deliver functions with up to 10 GB of memory and 6 vCPUs (virtual CPUs).

AWS announced some big updates to its Lambda serverless function service today. For starters, starting today it will be able to deliver functions with up to 10 GB of memory and 6 vCPUs (virtual CPUs).