Ways to Reduce Cold Start Times for AWS Lambda with DynamoDB
Asked by
TechWizard1987
Hey everyone! I'm running into a bit of an issue with my Node.js Lambda function that uses the AWS SDK for DynamoDB. When the Lambda function is cold, the first read from DynamoDB takes an excruciatingly long time—ranging from 800ms to over 2 seconds. This delay happens not because of DynamoDB itself, but due to several factors like the Lambda spin-up, Node.js runtime booting, SDK loading, and more. I've measured the cold start durations and they're pretty high, but once the function is warm, it executes the DynamoDB read in under 120ms. I'm currently keeping my Lambda warm by pinging it every 5 minutes, but that doesn't feel like a sustainable solution. What cleaner fixes do you all suggest? Provisioned concurrency feels too pricey for my low-traffic use, and SnapStart isn't yet available for Node.js. Any tips to speed up the cold init phase?
Answers
You might want to look into tree shaking to help reduce your cold start times. Node.js Lambdas typically have around a 500ms cold start, and optimizing your code could help. AWS is also working on a low-latency runtime in beta that you might find useful, check it out on GitHub.
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