This project aims to be a load benchmarking suite, no more, no less

Measuring response times (routing times) for each framework (middleware).

• Helping decide between languages, depending on use case
• Learning languages, best practices, devops culture ...
• Having fun ❤️

• Crystal as built-in tools are made in this language
• Docker as frameworks are isolated into containers
• wrk as benchmarking tool, >= 4.1.0
• postgresql to store data, >= 10

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⚠️ On OSX you need docker-machine to use docker containerization

brew install docker-machine
docker-machine create default
eval $(docker-machine env default)

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• Install all dependencies

shards install

• Build internal tools

shards build

• Create and initialize the database

createdb -U postgres benchmark
psql -U postgres -d benchmark < dump.sql

Docker can be used to set up the database:

docker run -it --rm -d \
-p 5432:5432 \
-e POSTGRES_DB=benchmark \
-e POSTGRES_HOST_AUTH_METHOD=trust \
-v /tmp/pg-data:/var/lib/postgresql/data \
--name pg postgres:12-alpine

Wait several seconds for the container to start, then inject the dump:

docker exec pg sh -c "echo \"$(cat dump.sql)\" | psql -U postgres -d benchmark"

After creating the database, export its URL:

export DATABASE_URL="postgresql://postgres@localhost/benchmark"

• Make configuration

bin/make config

• Build containers

jobs are either languages (example : crystal) or frameworks (example : router.cr)

bin/neph [job1] [job2] [job3] ...

• Export all results readme

bin/db to_readme

ℹ️ Updated on 2020-11-10 ℹ️

Benchmarking with wrk

• Threads : 8
• Timeout : 8
• Duration : 15s (seconds)

ℹ️ Sorted by max req/s on concurrency 64 ℹ️

In any way you want ...

• Request a framework addition
• Report a bug (on any implementation)
• Suggest an idea
• ...

Any kind of idea is ❤️

• Taichiro Suzuki - Author | Maintainer
• OvermindDL1 - Maintainer
• Marwan Rabbâa - Maintainer