samarudge
Joined 15 years ago
Joined 15 years ago
I couldn't (quickly) find documentation on how to get the value of a specific cookie, but the server could send a user ID in a header or something Varnish can easily access to be used in the above function.
Varnish supports the ESI (Edge-Side Includes) standard, which allows it to cache fragments of a page, and for the cache server to build them again. It also allows you to completely bypass the cache for certain fragments. This is also supported by a number of CDNs (Fastly, Akamai). I've used the ESI technique several times and have been able to achieve a >98% cache hit rate on Fastly for a site with dynamic per-user content. Even the cache misses are only responsible for rendering a small component of the page
The HTTP library (requests) by default will pull a gzipped version of the resolvers list from Github (Content-Length returned for current version is 59029 compared to 239359 with gzip disabled). Compressing with `gzip -9` gives me a file size of 49648 so I don't think the added complexity of having to consciously deal with the compression in the application outweighs the small gain over the standard HTTP compression Github and Requests provide by default.
I had looked at pre-downloading the resolvers file in the setup script, unfortunately there doesn't seem to be a decent, reliable way to do it. If people download the source and run `setup.py install` it's easy but I'd imagine most people will just install with `pip` or `easy_install` which makes things a bit more complicated since nether of them seem to run post install actions.
Both good suggestions though, I'll keep them on my todo list.
> CentOS is one of the reasons that the RHEL ecosystem is the default. It helps to give us an ubiquity that RHEL might otherwise not have if we forced everyone to pay to use Linux. So, in a micro sense we lose some revenue, but in a broader sense, CentOS plays a very valuable role in helping to make Red Hat the de facto Linux.[0]
[0]http://readwrite.com/2013/08/13/red-hat-ceo-centos-open-sour...
* Documentation Time
If you've got a big project, it could take weeks, even months to properly document some software to a position where it could be used by someone outside of the company. Sure you have your internal documentation but it can often be incomplete, or make assumptions that the person reading it knows about other bits of the company.
* Deployment
Big projects will often use very specialized hardware, software and environments, to the point where it could be nearly impossible to deploy outside of the company. It could depend on internal services that can't be open sourced because there still used, or are an important part of the business. Take Google Reader, yes it would be nice if it was open sourced, but internally it probably uses services, databases, APIs specialized just for Google, it's probably been optimized to work on Google's hardware, with their webserver, with their OS build etc.
Reddit is another example of this, Reddit's code is open source, and while it can be deployed, it's not easy. This seems mostly because it's been built to work on a very specialized set of software versions, and in a very specific environment. Larger open source projects tend to be tested on a multitude of environments, with applications only deployed or built internally, there's no point because you can very accurately control your environment.
* Some of the code is still used
Some, or even big chunks of the code could still be being used in current software. If you've got a library that's particularly useful, you might keep using it. If it works there's no point re-writing it just for a new project.
* The code is very bad
We all know it happens, a project contains terrible code, bad bugs and maybe even security issues, they never bothered getting fixed because they were never noticed. Given the opportunity to look through the code people might pick up on these issues and it would look bad on the company.
* Open source is complicated
Open source seems to come along with a whole host of fun things to deal with, GitHub issues, ranty blog posts, forks, copyright, licenses can all get a bit complicated. Even if it's old software that isn't used anymore you probably need to do some degree of management before things get too out of hand. Even a single tweet can have a big impact on a company, or a products reputation, so particularly at larger companies they'd probably want it managed in some way.
Anyone else got anything to add?
Certainly when it comes to security, authors should do their best to ensure users of the tool are educated, when there's a security issue with any large software product, particularly open source, that's mostly down to poor configuration or ill-informed users, the authors are instantly criticized, but I think it should be the same for any general features in a tool that targets a specific functionality. This particular "best practice" is quite easy to find, and the tool is very specifically targeted towards validation, yet has something that's against best practice and could potentially cause frustration for people who use this tool, and people who use the stuff created using this tool.
Source: https://github.com/guillaumepotier/validator.js/blob/master/...
http://davidcel.is/blog/2012/09/06/stop-validating-email-add... http://stackoverflow.com/a/202528/744180 (others, just Google)
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