Tune if you want to go faster

Moonpig, a heavy user of AWS Lambda, shares their recent findings on Lambda performance and cost tuning. They emphasize the importance of right-sizing functions by considering memory allocation, CPU profiles, and asynchronous versus synchronous workloads. They also highlight the benefits of using AWS's Graviton CPUs and the challenges of adopting Lambda Layers for managing parameter wrangling.