6 Best Practices for High-Performance Serverless Engineering


When you write your first few lambdas, performance is the last thing on your mind. Permissions, security, identity and access management (IAM) roles and triggers all conspire to make the first couple of lambdas, even after a “hello world” trial just to get your first serverless deployments up and working. But once your users begin to rely on services your lambdas provide, it’s time to focus on high-performance serverless.

Here are some key things to remember when you’re trying to produce high-performance serverless applications.

1. Observability
Serverless handles scaling really well. But as scale interacts with complexity, slowdowns and bugs are inevitable. I’ll be frank: these can be a bear if you don’t plan for observability from the start.

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