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596 karma · joined April 15, 2009
https://github.com/clutchski/dotfiles/blob/main/home/bin/por...
Shameless plug: we have a bunch posted at datadog.com/careers. Take a gander.
Datadog builds state of the art monitoring tools. If you can make thousands of machines work as one, love grinding 10% more performance out of a function, build amazing data visualizations or just love hacking, drop us a line.
It's not worth it :)
Fact check time. Shopify's headquarters is in Ottawa. Kik is in Waterloo.
Datadog builds awesome monitoring tools. We have tons of challenges and are looking for great build to help tackle them (processing millions of data points a second, integrating with hundreds of pieces of software, sifting anomalies from live data streams, building data visualizations, etc). Come and build great tools that are by developers for developers.
https://www.datadoghq.com/careers/
Write if you have any questions :)
Datadog builds killer monitoring tools for dev and ops teams. We are looking for talented people who can solve hard problems:
- processing millions of data points a second
- writing rock solid client code that runs on hundreds of thousands of machines
- teasing trends out of a massive pipeline of data.
- writing solid, modern front-end code and visualizations
Check out the positions and apply here:
Generalists, front-end, back-end & data developers.
Datadog is a product built to give dev and ops teams great visibility into the health of their system. If you want to come and build systems that process persist, analyze and visualize tons of data (millions of data points per second), come and check us out.
For me, a backend dev, it's been incredibly fruitful helping build, grow and run a system at this scale. We've tackled lots of hard problems and there are lots left to solve.
More details here:
Drop me a line if you have any questions: mattp@datadoghq.com
Zing.
- It's very easy to find and install third party modules
- Once a library is added to stdlib, the API is essentially frozen. This means we can end up stuck with less than ideal APIs (shutil/os, urllib2/urrlib, etc) or Guido & co are stuck in a time consuming PEP/deprecate/delete loop for even minor API improvements.
- libraries outside of the stdlib are free to evolve. users of those libraries who don't want to stay on the bleeding edge are free to stay on old versions.
http://blog.plataformatec.com.br/2011/03/why-rubyists-should...
http://code.google.com/p/closure-library/source/browse/trunk...