AWS Lambda Memory Performance Benchmark

Motivation

• Understand how RAM selection affect Lambda's performance (on Medium).
• Code a tool that measures Lambda function performance (duration and cost) with several memory sizes.

Setup

git clone git@github.com:epsagon/lambda-memory-performance-benchmark.git
cd lambda-memory-performance-benchmark/
pip install -r requirements.txt
python benchmark.py -f <function_name> -r <function_region> -p <payload_filename>

Usage

Basic run:

python benchmark.py -f lambda-performance-benchmark -r us-east-1 -p fibonacci-function/payload.json

Fibonacci's Last Result (February 9th, 2018)

Chart:

Table:

Memory Size	Duration (in ms)	Price Per 1M Invocations (in $)
128MB	376.05	0.832
192MB	250.24	0.939
256MB	198.56	0.834
512MB	98.36	0.834
768MB	65.48	1.250
1024MB	45.31	1.667
1536MB	30.53	2.501
2048MB	25.21	3.334
2560MB	25.36	4.168
3008MB	25.15	4.897