A running example of the code from:
This gist creates a working example from blog post, and a alternate example using simple worker pool.
TLDR: if you want simple and controlled concurrency use a worker pool.
First, you have to enable profiling
> db.setProfilingLevel(1)
Now let it run for a while. It collects the slow queries ( > 100ms) into a capped collections, so queries go in and if it's full, old queries go out, so don't be surprised that it's a moving target...
(based on https://www.vaultproject.io/intro/index.html)
First, build and install the vault snap:
| =begin | |
| Jekyll tag to include Markdown text from _includes directory preprocessing with Liquid. | |
| Usage: | |
| {% markdown <filename> %} | |
| =end | |
| module Jekyll | |
| class MarkdownTag < Liquid::Tag | |
| def initialize(tag_name, text, tokens) | |
| super | |
| @text = text.strip |
| #!/bin/bash | |
| # This is a simple build script and will be executed on your CI system if | |
| # available. Otherwise it will execute while your application is stopped | |
| # before the deploy step. This script gets executed directly, so it | |
| # could be python, php, ruby, etc. | |
| # | |
| # MEMCACHED SERVER | |
| # |
| curl https://raw.github.com/gist/3342482/57d1f618104185aa89044f934c4f86cb74e11553/rbenv-openshift.sh | bash |
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| Custom Icon and Image Creation Guidelines: | |
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| Configuring Web Applications: | |
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