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
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.
This release addresses the following issues:
TAWS-2330 – Fix removal of getRuntimeArtifactIds() method breaking S3 upload action in Bamboo 9.0