Reduce AWS Lambda Costs Developer Tips to Save More
practical strategies to optimize and save on AWS Lambda expenses
Published Jan 6, 2025
Sometimes, as developers, we get so focused on solving problems and delivering solutions that we ignore the costs that can be incurred in the process. On one occasion, I worked on a Lambda function for a critical application. My goal was to release it quickly so that it would start producing results. In my haste, I did not consider the associated costs, prioritizing functionality and speed.
Once in production, costs began to accumulate quickly due to frequent executions and excessive memory usage. Upon reviewing the AWS cost dashboard, I realized the magnitude of the problem.
Since then, I have applied several tips to improve the costs of my Lambda functions. I share them here:
- Reduce the number of executions by using caching, using boto3 and redis:
2. Adjust the memory according to the needs of the function. AWS Lambda allows you to configure memory between 128 MB and 10,240 MB (10 GB).
3. Minimize the amount of data transferred. Use compression when possible:
