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