PDQ to go!

Can I have it with fires ?

I was dreaming one day to be able to do back of the envelope scalability calculations. Like if i provision faster CPUs, or run 2 nodes side by side, or maybe sharding, or how much headroom is left.

Later I discvered the oustanding work Neil Gunter did - PDQ: *Pretty Damn Quick* Performance Analyzer. Read more on author's wesite What is PDQ?. There you can get the binaries and run it yourself. It comes in different flavours perl, r, python,c.

This projects packages all PDQ goodies for web, demo PDQtoGO!

Run locally

OS X & Linux & Windows:

docker pull i95north/pdqtogo:latest

Development setup

The develpment environment is intentionally boring. As long as you have docker running then it should just work

// rebuild
sh scripts/rebuild-continer.sh

// this how you run it in development mode
sh scripts/run-bash-it.sh

// run it like in prod
sh scripts/run-it.sh

// run in prod
sh docker run -d -p 80:8080 i95north/pdqtogo:latest

Contributing

1. Fork it (https://github.com/i95n/pdqtogo/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request

Authors

• Ruslan Rusu - Initial work

License

This project is licensed under the MIT License - see the https://opensource.org/licenses/MIT

Acknowledgments

• Neil Gunther, @DrQz