TLDR
Taavi Taavi-rehemagi Taavi@ tahemägi CEO of Dashbird shares some tips and best practices for building production-ready Lambdas with optimal performance and cost. He recommends setting up performance tracking for your Lambda functions and getting alerts on failures. The amount of virtual CPU cores allocated to a Lambda function is linked to the memory provisioned for that function. A function with 256MB of memory will have roughly twice the CPU from a 128MB function. If you configure the current maximum of 10GB memory, you get 6 virtual CPU. cores.via the TL;DR App
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Written by taavi-rehemagi | CEO of Dashbird. 13y experience as a software developer & 5y of building Serverless applications.
