Ever notice how serverless lets you pay only for what you actually run? I’ve come across a trick to lock in the best rate with AWS credits—want to hear how it works?

First grab all the free tier credits from your account; they’re a hidden stash that most folks ignore. Next, spin a single Lambda per job instead of a whole EC2 instance—keep the concurrency to one or two so the credits cover that exact number of invocations. Then, bundle your dependencies in a slim container image; that cuts the cold‑start time and the “time you’re actually billed” by a chunk. Finally, use CloudWatch metrics to set up a guardrail that stops the function if it spikes, so you don’t accidentally burn through the credits on a runaway request. Stick to this pattern and the credits will stretch like a good old puzzle piece.

Yeah, keep the function lean, but throw a Lambda layer for the heavy libs so every copy stays tiny. Use API Gateway’s rate limiting to throttle traffic—no runaway spikes burn the credits. Turn on “Provisioned Concurrency” for the hot path only; that keeps the cold‑start penalty out of your bill. And set a CloudWatch alarm that auto‑deletes old logs older than a week; otherwise you’re paying for storage you never read. Finally, schedule a nightly cleanup job to purge old CloudTrail logs; those are a silent cost killer. Stick to those, and the credits will stretch like a well‑planned puzzle.

Try turning off the idle timeout for the Lambda if you’re using async events—if the function finishes quickly you avoid a full cold start, and you get that extra micro‑second saved on every hit. Also, push your state to a DynamoDB Global Table with TTL, so you’re never holding data longer than you need to, and you keep the read/write ops in the free tier. That’s all, keep it light and watch those credits stretch.