Introduction Serverless architecture frees developers from server management, but without cost optimization, Lambda bills can be shocking. Here are 7 practical tips to reduce your Lambda costs. 1. Optimize Memory Configuration Lambda pricing is directly related to memory settings. Use AWS Lambda Power Tuning to test different configurations: import boto3 def test_memory_configs ( function_name ): client = boto3 . client ( ' lambda ' ) configs = [ 128 , 256 , 512 , 1024 , 1769 ] for memory in configs : client . update_function_configuration ( FunctionName = function_name , MemorySize = memory ) # Test and record results... Enter fullscreen mode Exit fullscreen mode Key finding : Sometimes increasing memory reduces total cost because execution time decreases more than memory cost increases. 2. Use Provisioned Concurrency For latency-sensitive APIs, Provisioned Concurrency eliminates cold starts and offers better pricing than On-Demand. 3.…