Viewing profile — lebinh

To me, that's mostly because the things we need to monitor are scattered around our planet.

Just want to point out that Cloudflare doesn't charge for bandwidth, so egress from GCP to Cloudflare is a good way to cut the bandwidth cost.

I wrote something out of our need for better monitoring/metrics for Nginx here: https://luameter.com/ And quite a few people are using it for per-vhost metrics use case just like y…

I showed ngxtop [0] about 2 years ago as a top inspired tool to quickly check the status of my nginx servers, something I created for my need. I expected some people would find it …

Cool idea! I've created a similar repo for Nginx from my experiences: https://github.com/lebinh/nginx-conf

Measure and profile the code will always be the best thing to do but for simple 20% effort tips I think it would be: * Don't write your own data structure, stick to the standard li…

Hi, I'm the author of this. About a year ago I open sourced a tool for quick monitoring and troubleshooting Nginx, ngxtop [1], and received some very positive interests from HN com…

Found this great library when trying to play with and visualise some data recently[1]. One of the easiest way to create a nice graph from pure python. [1] https://github.com/lebinh…

Had awesome experience with Codementor ( https://www.codementor.io/ ) recently, highly recommended for anyone looking for help or helping others.

Unfortunately most of the servers I'm working with are still on python2 by default. The latest Ubuntu LTS, 12.04, only has python2 by default so python2 is still my priority. But i…

Thanks, I'll definitely add that, maybe put this on pypi asap. For now you can clone the repo and then run pip install -r requirements.txt to install required dependencies.

If what you mean by exec time is request_time, i.e., serving time of a request, then it's pretty close on my agenda as long as you have it in your access log :)

The performance impact really depend on your server and traffics. Currently with high traffic server it will take quite some amount of CPU if running for awhile, after 15-20 mins o…

Thanks, I'll put it on pypi soon, just put it on github today

I used lyricswiki's api to get the url for the lyric's page, then parse it's html to get the lyrics. hope that helps ;)

I created a similar app a couple of months ago :D http://nowlyrics.appspot.com It was also featured on last.fm, http://build.last.fm/item/481