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The case for containers on Lambda (with benchmarks)

The case for containers on Lambda (with benchmarks)

AWS Lambda introduced support for container-based functions, and the initial reaction from the community was mostly negative. However, Lambda is not meant to run large applications, but rather small bits of code that can scale widely and execute many functions simultaneously. The main challenge with container-based Lambda functions is the cold start performance penalty, but the AWS Lambda team has put a tremendous amount of work into improving this aspect.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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