The Utoolity team is pleased to present Tasks for AWS 2.23 – this release adds container image support for AWS Lambda functions, and it allows to deploy functions powered by the AWS Graviton2 processor.
You can now use the app to deploy Lambda functions packages as container images to unify your tooling and support dependencies up to 10 GB in size via the AWS Lambda Function task, and you can get a better price performance ratio by running suitable functions on the Arm-based AWS Graviton2 processor.
Deploy AWS Lambda functions packaged as container images
You can now also deploy Lambda functions packaged as container images with the AWS Lambda Function task, which already enables you to deploy functions packaged as ZIP archives from S3. This helps if you’ve invested in container tooling for your development workflows or need to deploy workloads with deployment packages larger than 50 MB – refer to the introductory blog post for details:
To help you with that, you can now package and deploy Lambda functions as container images of up to 10 GB in size. In this way, you can also easily build and deploy larger workloads that rely on sizable dependencies, such as machine learning or data intensive workloads. Just like functions packaged as ZIP archives, functions deployed as container images benefit from the same operational simplicity, automatic scaling, high availability, and native integrations with many services.
- Lambda container images have some unique characteristics – Refer to Optimizing Lambda functions packaged as container images to understand "how container images are packaged, as well as how the Lambda service retrieves, caches, deploys, and retires container images.
Deploy AWS Lambda functions powered by Graviton2 processors
You can now also use the the AWS Lambda Function task to deploy new and existing functions powered by the Arm-based AWS Graviton2 processors, which can yield significantly better price performance for suitable workloads – refer to the introductory blog post for details:
With this choice, you can save money in two ways. First, your functions run more efficiently due to the Graviton2 architecture. Second, you pay less for the time that they run. In fact, Lambda functions powered by Graviton2 are designed to deliver up to 19 percent better performance at 20 percent lower cost.
For more details about this release, please refer to the Tasks for AWS 2.23 Release Notes.