Performance tuning & cost optimization for AWS Lambda

What's the correlation between cost and performance in serverless architectures? And how can we design systems that are cost-effective, highly scalable, and performant at the same time?

This session dives into the best practices for tuning memory, runtime, initialization, concurrency, and more, in a data-driven way, to squeeze every drop of performance out of Lambda functions, as well as a mental framework to think in terms of cost/performance patterns.