This post is being constantly updated as we find out more useful information on Momentum tuning. Last update: 2012-05-05.
About 2 months ago I’ve joined LivingSocial technical operations team and one of my first tasks there was to figure out a way to make our MTAs perform better and deliver faster. We use a really great product called Momentum MTA (former Ecelerity) and it is really fast, but it is always good to be able to squeeze as much performance as possible so I’ve started looking for a ways to make our system faster.
While working on it I’ve created a set of scripts to integrate Momentum with Graphite for all kinds of crazy stats graphing, those scripts will be opensourced soon, but for now I’ve decided to share a few tips about performance-related changes we’ve made to improve our performance at least 2x:
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Disclaimer: the information in this post is the author’s personal opinion and is not the opinion or policy of his employer.
It was spring 2010 when we decided that even though Softlayer‘s server provisioning system is really great and it takes only a few hours to get a new server when we need it, it is still too long sometimes. We wanted to be able to scale up when needed and do it faster. It was especially critical because we were working hard on bringing up Facebook integration to our site and that project could have dramatically changed our application servers cloud capacity requirements.
What buzzword comes to your mind when we talk about scaling up really fast, sometimes within minutes, not hours or days? Exactly – cloud computing! So, after some initial testing and playing around with Softlayer’s (really young back then) cloud solution called CloudLayer and talking to our account manager we’ve decided to switch our application from a bunch of huge and at the time pretty expensive 24-core monster servers to a cluster of 8-core cloud instances. To give you some perspective: we had ~250 cores at the start of the project and at the end of 2010 we’d have more then 100 instances – we weren’t a small client with a few instances).
For those who are not familiar with Softlayer cloud: they sell you “dedicated” cores and memory, which is supposed to give you an awesome performance characteristics comparing to shared clouds like EC2.
Long story short, after a month of work on the project we had our application running on the cloud and were able to scale it up and down pretty fast if needed. And since the cloud was based on faster cpu and faster memory machines, we even saw improved performance of single-threaded requests processing (avg. response time dropped by ~30% as far as I remember). We were one happy operations team…
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We use nginx and its features a lot in Scribd. Many times in the last year we needed some pretty interesting, but not supported feature – we wanted nginx X-Accel-Redirect functionality to work with remote URLs. Out of the box nginx supports this functionality for local URIs only. In this short post I want to explain how did we make nginx serve remote content via X-Accel-Redirect.
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Having a reverse-proxy web cache as one of the major infrastructure elements brings many benefits for large web applications: it reduces your application servers load, reduces average response times on your site, etc. But there is one problem every developer experiences when works with such a cache – cached content invalidation.
It is a complex problem that usually consists of two smaller ones: individual cache elements invalidation (you need to keep an eye on your data changes and invalidate cached pages when related data changes) and full cache purges (sometimes your site layout or page templates change and you need to purge all the cached pages to make sure users will get new visual elements of layout changes). In this post I’d like to look at a few techniques we use at Scribd to solve cache invalidation problems.
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Another short post just to remember the procedure for the next time I’ll be setting up a new mac. For those of my readers who do not know what Midnight Commander (aka mc) is, GNU Midnight Commander is a visual file manager, created under a heavy influence of Norton Commander file manager from dark DOS ages 🙂 For more information, you can visit their web site. Now, get to the installation topic itself.
To install mc on a Mac OS X machine, you need macports installed and then first thing you’ll need to do is to install some prerequisite libraries:
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| $ sudo port install libiconv slang2 |
Next thing, download the sources from their web site and unpack them. When the sources are ready, you can configure the build:
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| $ ./configure \
--prefix=/opt/mc \
--with-screen=slang \
--enable-extcharset \
--enable-charset \
--with-libiconv-prefix=/opt/local \
--with-slang-includes=/opt/local/include \
--with-slang-libs=/opt/local/lib |
Then, normal GNU-style build and install procedure:
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| $ make
........
$ sudo make install |
And the last thing would be to add /opt/mc/bin to your PATH environment variable.