Getting an AWS Lambda function to return 200 OK feels great. But does that mean it's ready for production?
What happens when an external API fails? What if your Lambda times out? Can you identify a failed request from CloudWatch logs? And how do you prevent duplicate event processing?
These are important questions when building real-world serverless applications.
I recently published an article on AWS Builder Center covering 7 practical things developers should consider before deploying AWS Lambda functions to production.
Here's what I covered:
Error Handling: Handle failures gracefully and return meaningful responses.
IAM Least Privilege: Give Lambda only the permissions it actually needs.
Timeouts and Memory: Configure resources based on actual workload requirements.
Structured Logging: Use CloudWatch Logs and request IDs to make debugging easier.
Monitoring: Track errors, duration, throttles, and API Gateway 5XX responses.
Idempotency: Design event processing to handle retries and duplicate events safely.
Production Readiness: Review security, reliability, performance, and deployment practices before going live.
The article also includes practical examples using Node.js, TypeScript, and AWS services.
My key takeaway:
A Lambda function that works during testing isn't necessarily ready for production. Developers should also understand how it behaves when things go wrong.
Read the full article on AWS Builder Center:
Your AWS Lambda Works. But Is It Production-Ready? 7 Things Every Developer Should Know
I'd love to hear your thoughts:
What's one thing you always check before deploying a Lambda function to production?
