datadog-cdk-constructs VS powertools-lambda-typescript

Serverless developers have the benefit of cloud providers deploying new features which improve our experience and reduce costs. Recently AWS introduced Graviton for Lambda, which leverages their custom ARM-based processor. Using Graviton, AWS says that users can see 19% better performance at 20% lower cost - and many users wouldn't even have to change any of their code at all! At my day job at DataDog, we quickly rolled out ARM-compatible versions of the DataDog Extension and our IaC integrations like the Serverless Plugin and the CDK Construct.

Datadog has a similarhish project for instrumenting lambdas. Thought i'd mention it. Would be interesting to try to do a more in depth compare & contrast.

https://github.com/DataDog/datadog-cdk-constructs

The Powertools GitHub repository offers nice examples to integrate and learn from. For example here are nice example written in AWS CDK. Following I will list the features I gained some experience with.

Lambda Powertools TypeScript can't be used directly as an ES Modules dependency, but there is an issue open, so please consider adding your +1. For now, it's possible to get by with a require shim or via cjs tricks but it would be great to see native support for ES Modules in Lambda Powertools TypeScript.

for secrets, I would recommend using AWS PowerTools if you can (depending on your language) - https://github.com/awslabs/aws-lambda-powertools-python - https://github.com/awslabs/aws-lambda-powertools-typescript

The documentation for Lambda Powertools TypeScript is pretty good and provides several examples with even more on GitHub.

Last week, AWS announced the beta release of AWS Lambda Powertools Typescript. This is a suite of TypeScript utilities for AWS Lambda functions to enable the adoption of best practices in areas such as structured logging, tracing and custom metrics.