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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:

https://github.com/epsagon/lambda-memory-performance-benchmark/blob/master/fibonacci-function/performance_chart.png

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

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