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  </channel><item rdf:about="http://docs.continuum.io/llvmpy/index.html">
    <title>llvmpy — Continuum documentation</title>
    <dc:date>2014-02-18T10:40:55+00:00</dc:date>
    <link>http://docs.continuum.io/llvmpy/index.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[clean inline optimisation for python, with less abstruse documentation than cython.]]></description>
<dc:subject>python llvm jit scalability c</dc:subject>
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    <title>Cactus Code — Welcome</title>
    <dc:date>2013-09-06T13:55:18+00:00</dc:date>
    <link>http://cactuscode.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[old-skool HPC library. c?]]></description>
<dc:subject>scalability science hpc c</dc:subject>
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    <title>Firebase - A scalable real-time backend for your app</title>
    <dc:date>2013-09-06T10:21:52+00:00</dc:date>
    <link>https://www.firebase.com/index.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Build
Fast
Firebase lets you create fully interactive apps with just frontend code. Stop thinking about servers and databases and focus on your application logic and your customers.
Completely Real-time
Apps built with Firebase respond immediately to data changes as they occur, bringing a whole new level of interactivity to your users.
Servers Optional
Data stored in Firebase is directly accessible from the client. This means you can build dynamic, data-driven websites without worrying about servers or server code.]]></description>
<dc:subject>database nosql concurrency scalability javascript</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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    <link>https://github.com/spotify/luigi</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
(see also ruffus, make etc)]]></description>
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    <title>DNA Sequencing Costs</title>
    <dc:date>2012-07-17T04:19:47+00:00</dc:date>
    <link>http://www.genome.gov/sequencingcosts/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[all yr base are belong to concurrency.]]></description>
<dc:subject>concurrency parallel scalability gene</dc:subject>
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    <dc:date>2011-11-25T02:01:30+00:00</dc:date>
    <link>http://agf.statsolutions.eu/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[python minority game simulation]]></description>
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    <title>Lost in JIT: Analysing python's performance under PyPy</title>
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    <link>http://lostinjit.blogspot.com/2011/11/analysing-pythons-performance-under.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[how to profile pypy performance. not completely obvious.]]></description>
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<item rdf:about="http://graphlab.org/">
    <title>GraphLab: A New Parallel Framework for Machine Learning</title>
    <dc:date>2011-08-10T12:51:49+00:00</dc:date>
    <link>http://graphlab.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Library claiming orders of magnitude speed improvement over hadoop and more flexibility than mapreduce. Already has amazon ec2 images ready to fire up. c++ is the native language; POJO claim to be also a first class citizen, and thus other JVM langauges. Hm.
]]></description>
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    <link>http://www.spark-project.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[hadoop-alike. Major attractions - uses scala, optimised for RAM-happy operations, fast native iteration, and supports a Google Pregel clone called Bagel.
]]></description>
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<item rdf:about="http://hunch.net/?p=1822">
    <title>Research Directions for Machine Learning and Algorithms « Machine Learning (Theory)</title>
    <dc:date>2011-06-18T01:10:39+00:00</dc:date>
    <link>http://hunch.net/?p=1822</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[it is not enough to have a language for specifying your prior structural beliefs—instead we must have a language for such which results in computationally tractable solutions.
]]></description>
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    <title>GraphLab: A New Parallel Framework for Machine Learning</title>
    <dc:date>2011-06-14T11:29:34+00:00</dc:date>
    <link>http://www.graphlab.ml.cmu.edu/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[mapreduce alternative thingy for distributed nodes
]]></description>
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    <dc:date>2011-03-16T10:57:20+00:00</dc:date>
    <link>http://www.cs.cornell.edu/projects/ladis2009/talks/dean-keynote-ladis2009.pdf</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[how google does it.
]]></description>
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    <title>Distributed Systems - Google Code University - Google Code</title>
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    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[handy educational tutes on various concurrency models; a bit of a hadoop emphasis
]]></description>
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</item>
<item rdf:about="http://agtb.wordpress.com/2010/12/23/progress-in-algorithms-beats-moore%E2%80%99s-law/">
    <title>Progress in Algorithms Beats Moore’s Law « Algorithmic Game-Theory/Economics</title>
    <dc:date>2011-02-17T23:05:40+00:00</dc:date>
    <link>http://agtb.wordpress.com/2010/12/23/progress-in-algorithms-beats-moore%E2%80%99s-law/</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>performance numerical_methods hardware futures scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:ab09a2397162/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:numerical_methods"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:hardware"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:futures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://code.google.com/p/pystream/">
    <title>pystream - Project Hosting on Google Code</title>
    <dc:date>2010-12-14T02:06:14+00:00</dc:date>
    <link>http://code.google.com/p/pystream/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Amazon's recommended GPU thingy for python  - sounds like a GPU accelerated SciPy.
]]></description>
<dc:subject>grammarthing gpu python perforamnce scalability cuda</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c9cec58e515e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarthing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:gpu"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:perforamnce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cuda"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://aws.typepad.com/aws/2010/11/new-ec2-instance-type-the-cluster-gpu-instance.html">
    <title>Amazon Web Services Blog: New EC2 Instance Type - The Cluster GPU Instance</title>
    <dc:date>2010-12-14T02:02:55+00:00</dc:date>
    <link>http://aws.typepad.com/aws/2010/11/new-ec2-instance-type-the-cluster-gpu-instance.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Not only is the arrival of Tesla GPUs in the cloud very welcome, the intro blog is a great introduction to resources for using them.
]]></description>
<dc:subject>gpu cuda opencl performance scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:4e58570d73d6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:gpu"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cuda"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opencl"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://s4.io/">
    <title>s4: distributed stream computing platform</title>
    <dc:date>2010-11-12T05:24:48+00:00</dc:date>
    <link>http://s4.io/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[faul tolerant distributed computing by yahoo
]]></description>
<dc:subject>mapreduce yahoo github java scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:392183e5469d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:yahoo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:github"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:java"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ivory.idyll.org/blog/oct-10/sky-is-falling">
    <title>Titus Brown: The sky is falling! The sky is falling!</title>
    <dc:date>2010-10-15T02:17:45+00:00</dc:date>
    <link>http://ivory.idyll.org/blog/oct-10/sky-is-falling</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["As Narayan has eloquently argued many times, it no longer makes sense for most institutions to run their own HPC, if you take into account the true costs of power, AC, and hardware. The only reason it looks like HPCs work well is because of the way institutions play games with funny money (a.k.a. "overhead charges"), channeling it to HPC behind the scenes - often with much politicking involved. If, as a scientist, your compute is "free" or even heavily subsidized, you tend not to think much about it. But now that we have to scale those clusters 10s or 100s or 1000s of X, to deal with data 100s or 1e6s of times as big, institutions will no longer be able to afford to build their own clusters with funny money. And they'll have to charge scientists for the true computational cost of their work -- or scientists will have to use the cloud."
]]></description>
<dc:subject>performance scalability genetic academic methodology cloud</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:981254c09092/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:genetic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:methodology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cloud"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://dataspora.com/blog/the-seven-secrets-of-successful-data-scientists/">
    <title>The Seven Secrets of Successful Data Scientists : Dataspora Blog</title>
    <dc:date>2010-09-03T01:39:39+00:00</dc:date>
    <link>http://dataspora.com/blog/the-seven-secrets-of-successful-data-scientists/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[I always fall down on the step about not trying to be clever.
]]></description>
<dc:subject>datamining scalability parsimony statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:3f9ff6372b91/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:parsimony"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://garethrees.org/2007/11/14/pngcrush/">
    <title>Smallest possible transparent PNG</title>
    <dc:date>2010-08-23T07:57:25+00:00</dc:date>
    <link>http://garethrees.org/2007/11/14/pngcrush/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Nerdiest blog post ever. 1557 words about how to save 1 byte in your transparent PNGs.
]]></description>
<dc:subject>png compression performance scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:b5912ddbdf04/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:png"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compression"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://mathema.tician.de/software/pycuda">
    <title>PyCUDA | Andreas Klöckner's web page</title>
    <dc:date>2010-06-28T16:08:39+00:00</dc:date>
    <link>http://mathema.tician.de/software/pycuda</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what's so special about PyCUDA?

Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed.
Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime.
Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish.
Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions.
Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free.
Helpful Documentation."
]]></description>
<dc:subject>oop performance scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:498f07107a15/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:oop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.eventbrite.com/guest-post-why-you-should-track-page-views-with-mongodb">
    <title>Guest post: Why you should track page views with MongoDB - The Future of Event Management</title>
    <dc:date>2010-06-16T01:29:40+00:00</dc:date>
    <link>http://blog.eventbrite.com/guest-post-why-you-should-track-page-views-with-mongodb</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[google analytics considered as inferior to mongodb for pageview tracking. (query API-wise, i agree. client-side, not so sure.)
]]></description>
<dc:subject>scalability analytics browser mongodb</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:3843d7851495/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:browser"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mongodb"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.pypes.org/">
    <title>Pypes - Flow Based Programming</title>
    <dc:date>2010-06-10T17:52:21+00:00</dc:date>
    <link>http://www.pypes.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[max/msp style flow control programming for python, with concurrency and weirdness. Seems to be an open-source yahoo pipes re-implementation.
]]></description>
<dc:subject>ui browser performance python scalability opensource concurrency</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:14185b542930/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ui"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:browser"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:concurrency"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://riak.basho.com/">
    <title>Basho Riak - A Scalable Web Database that Simplifies Application Development</title>
    <dc:date>2010-06-02T02:21:36+00:00</dc:date>
    <link>http://riak.basho.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[nicer wire protocol than redis (http/json!), very scale-y
]]></description>
<dc:subject>scalability nosql http rest json cache</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:64fc6a92e661/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:http"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:rest"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:json"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cache"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://highscalability.com/blog/2010/5/17/7-lessons-learned-while-building-reddit-to-270-million-page.html">
    <title>High Scalability - High Scalability - 7 Lessons Learned While Building Reddit to 270 Million Page Views a Month</title>
    <dc:date>2010-05-18T06:54:05+00:00</dc:date>
    <link>http://highscalability.com/blog/2010/5/17/7-lessons-learned-while-building-reddit-to-270-million-page.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[how a massive site like reddit scales is pretty instructive. spoiler: cache everything. memoise functions
]]></description>
<dc:subject>reddit python memcache scalability via:datakid</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:51fa6785c092/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:reddit"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:memcache"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:via:datakid"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.bestinclass.dk/index.php/2009/10/brians-functional-brain/">
    <title>Brians functional brain | BEST IN CLASS</title>
    <dc:date>2010-04-19T03:56:11+00:00</dc:date>
    <link>http://www.bestinclass.dk/index.php/2009/10/brians-functional-brain/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[parallelizing cellular automata using clojure
]]></description>
<dc:subject>java clojure performance scalability agents cellularautomata</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:e9cbb1aa384c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:java"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:clojure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cellularautomata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://gunicorn.org/">
    <title>Green Unicorn - Welcome</title>
    <dc:date>2010-04-09T02:04:05+00:00</dc:date>
    <link>http://gunicorn.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Green Unicorn (gunicorn) is an HTTP/WSGI Server for UNIX designed to serve fast clients or sleepy applications.

This is a port of Unicorn in Python.
]]></description>
<dc:subject>nginx python scalability performance django grammarthing greenlet event</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:47e690f0765e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nginx"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:django"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarthing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:greenlet"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:event"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://projects.unbit.it/uwsgi/">
    <title>uWSGI</title>
    <dc:date>2010-04-09T02:01:46+00:00</dc:date>
    <link>http://projects.unbit.it/uwsgi/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[uWSGI is a fast (pure C), self-healing, developer-friendly WSGI server, aimed for professional python webapps deployment and development. Over time it has evolved in a complete stack for networked/clustered python applications, implementing message/object passing and process management. It uses the uwsgi (all lowercase) protocol for all the networking/interprocess communications. From the 0.9.5 release it includes a plugin loading technology that can be used to add support for other languages or platform. A Lua wsapi adaptor, a PSGI handler and an Erlang message exchanger are already available.
]]></description>
<dc:subject>nginx python scalability performance django</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:3b472a837c5a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nginx"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:django"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.zeromq.org/">
    <title>zeromq: Fastest. Messaging. Ever.</title>
    <dc:date>2010-03-31T01:38:39+00:00</dc:date>
    <link>http://www.zeromq.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[hi performance minimal queu protocol
]]></description>
<dc:subject>queue parsimony c++ opensource distributed concurrency scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:e3ac7d8eaf1a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:queue"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:parsimony"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:concurrency"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://code.google.com/p/swarm-dpl/">
    <title>swarm-dpl - Project Hosting on Google Code</title>
    <dc:date>2010-03-29T05:19:35+00:00</dc:date>
    <link>http://code.google.com/p/swarm-dpl/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[intriguing approach to distributed high performance computing, where continuations are passed about as needed to scale to the computation
]]></description>
<dc:subject>java scala scalability agents simulation</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:33ed11d1f908/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:java"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scala"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:simulation"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://alestic.com/2009/06/ec2-user-data-scripts">
    <title>Automate EC2 Instance Setup with user-data Scripts - Alestic.com</title>
    <dc:date>2010-03-12T18:38:13+00:00</dc:date>
    <link>http://alestic.com/2009/06/ec2-user-data-scripts</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[ubuntu instances excute their user-data in bash!
]]></description>
<dc:subject>scalability amazon deployment ec2 howto ubuntu</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:4a64907c26c5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:deployment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ec2"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:howto"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ubuntu"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.picloud.com/">
    <title>PiCloud | Cloud Computing. Simplified.</title>
    <dc:date>2010-02-26T23:08:51+00:00</dc:date>
    <link>http://www.picloud.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["import cloud; cloud.call(my_function, arguments)" - now your functions has been serialised and executed in a cloud cluster.
]]></description>
<dc:subject>python academic science via:simonw scalability cloud</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:d7c1dd86dc32/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:via:simonw"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cloud"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://googleresearch.blogspot.com/2009/12/machine-learning-with-quantum.html?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A%20blogspot%2FgJZg%20(Official%20Google%20Research%20Blog)">
    <title>Official Google Research Blog: Machine Learning with Quantum Algorithms</title>
    <dc:date>2009-12-09T00:37:29+00:00</dc:date>
    <link>http://googleresearch.blogspot.com/2009/12/machine-learning-with-quantum.html?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A%20blogspot%2FgJZg%20(Official%20Google%20Research%20Blog)</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>compsci quantum scalability google datamining</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:1496bb97cb40/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:quantum"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:datamining"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://googleresearch.blogspot.com/2009/12/machine-learning-with-quantum.html?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A_blogspot%2FgJZg_(Official_Google_Research_Blog)">
    <title>Official Google Research Blog: Machine Learning with Quantum Algorithms</title>
    <dc:date>2009-12-09T00:37:29+00:00</dc:date>
    <link>http://googleresearch.blogspot.com/2009/12/machine-learning-with-quantum.html?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A_blogspot%2FgJZg_(Official_Google_Research_Blog)</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>compsci quantum scalability google datamining</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:5445dfee9eb7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:quantum"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:datamining"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://launchpad.net/pressflow">
    <title>Pressflow in Launchpad</title>
    <dc:date>2009-12-08T04:19:49+00:00</dc:date>
    <link>https://launchpad.net/pressflow</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[a performance-oriented, DVCS API-compatible drupal fork
]]></description>
<dc:subject>bzr drupal performance scalability cpod</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:daf04c763065/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:bzr"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:drupal"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cpod"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.kegel.com/c10k.html">
    <title>The C10K problem</title>
    <dc:date>2009-12-04T22:04:56+00:00</dc:date>
    <link>http://www.kegel.com/c10k.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[event IO and system forks makes you potent
]]></description>
<dc:subject>server scalability unix http</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:01d0048e0db6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:server"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:unix"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:http"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.nakedjavascript.com/going-evented-with-nodejs">
    <title>Going evented with Node.js - Naked JavaScript</title>
    <dc:date>2009-11-17T21:05:23+00:00</dc:date>
    <link>http://www.nakedjavascript.com/going-evented-with-nodejs</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[writing your first twitter/telnet apps with node.js
]]></description>
<dc:subject>howto javascript server scalability twitter</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:aef8249ff226/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:howto"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:server"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:twitter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://sic.conversationsnetwork.org/shows/detail4143.html">
    <title>Social Innovation Conversations | Stanford Discussions | Premal Shah (Free Podcast)</title>
    <dc:date>2009-11-12T09:16:01+00:00</dc:date>
    <link>http://sic.conversationsnetwork.org/shows/detail4143.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Fascinating expose on how kiva crowdsources volunteer management to be the sleekest NGO ever
]]></description>
<dc:subject>Crowdsourcing NGO scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:6877f0e75952/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Crowdsourcing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:NGO"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://github.com/blog/542-introducing-resque">
    <title>Introducing Resque - GitHub</title>
    <dc:date>2009-11-04T23:24:23+00:00</dc:date>
    <link>http://github.com/blog/542-introducing-resque</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[redis-backed queue for reasonably heavyweight jobs with a simple ruby interface.
]]></description>
<dc:subject>ruby scalability queue redis</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:6afedb0a9ef2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ruby"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:queue"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:redis"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://notes.variogr.am/">
    <title>bwhitman @ variogr.am</title>
    <dc:date>2009-10-29T10:54:58+00:00</dc:date>
    <link>http://notes.variogr.am/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[awesome music geekery by the guy behind echonest
]]></description>
<dc:subject>music scalability portable dsp</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:dfe9fe6b2705/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:portable"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:dsp"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/0910.0674">
    <title>[0910.0674] Computing of Applied Digital Ecosystems</title>
    <dc:date>2009-10-27T01:36:16+00:00</dc:date>
    <link>http://arxiv.org/abs/0910.0674</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[how do you evolve the bloody things in silico
]]></description>
<dc:subject>evolution ecology compsci scalability phd</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c8575056ba19/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:evolution"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ecology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:phd"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://radar.oreilly.com/2008/10/web-20-and-cloud-computing.html">
    <title>Web 2.0 and Cloud Computing - O'Reilly Radar</title>
    <dc:date>2009-10-22T04:37:32+00:00</dc:date>
    <link>http://radar.oreilly.com/2008/10/web-20-and-cloud-computing.html</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>cloud saas scalability economics netcultures</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:d663b3a32dad/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cloud"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:saas"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:netcultures"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://wiki.apache.org/hama/GraphPackage">
    <title>GraphPackage - Hama Wiki</title>
    <dc:date>2009-10-10T22:40:27+00:00</dc:date>
    <link>http://wiki.apache.org/hama/GraphPackage</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[A pregel-like graph computation framework for hadoop. apparently working
]]></description>
<dc:subject>scalability networks hadoop academic agents phd</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:a9005011a671/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:phd"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.metabrew.com/article/anti-rdbms-a-list-of-distributed-key-value-stores/">
    <title>Richard Jones | Anti-RDBMS: A list of distributed key-value stores | Richard Jones, Esq.</title>
    <dc:date>2009-10-10T07:56:53+00:00</dc:date>
    <link>http://www.metabrew.com/article/anti-rdbms-a-list-of-distributed-key-value-stores/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[intersting run around various non-sql data stores and which work for last.fm
]]></description>
<dc:subject>comparison performance scalability mysql couchdb db last.fm</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:4e78d9b9c050/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:comparison"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mysql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:couchdb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:last.fm"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://tomayko.com/writings/unicorn-is-unix">
    <title>I like Unicorn because it's Unix</title>
    <dc:date>2009-10-07T04:14:27+00:00</dc:date>
    <link>http://tomayko.com/writings/unicorn-is-unix</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["There’s another problem with Unix programming in Ruby that I’ll just touch on briefly: Java people and Windows people. They’re going to tell you that fork(2) is bad because they don’t have it on their platform, or it sucks on their platform, or whatever, but it’s cool, you know, because they have native threads, and threads are like, way better anyways.

Fuck that.

Don’t ever let anyone tell you that fork(2) is bad. Thirty years from now, there will still be a fork(2) and a pipe(2) and a exec(2) and smart people will still be using them to solve hard problems reliably and predictably, just like they were thirty years ago."
]]></description>
<dc:subject>ruby unix coding compsci scalability http geek server</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:871c999f546e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ruby"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:unix"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:coding"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:http"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:geek"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:server"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://dieselweb.org/lib/">
    <title>Diesel: How Python Does Comet</title>
    <dc:date>2009-10-07T00:23:53+00:00</dc:date>
    <link>http://dieselweb.org/lib/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[generator based pyton keep-the-connection-alive thingy. rumoured to have poor test coverage, though.
]]></description>
<dc:subject>python http scalability concurrency coroutines evented</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:4b900be5e7a0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:http"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:concurrency"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:coroutines"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:evented"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.tornadoweb.org/">
    <title>Tornado Web Server</title>
    <dc:date>2009-09-11T13:39:17+00:00</dc:date>
    <link>http://www.tornadoweb.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[non-blocking masively parallel python webserver, as seen on friendfeed
]]></description>
<dc:subject>friendfeed facebook opensource python scalability performance realtime</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:844e30f58aa4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:friendfeed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:facebook"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:realtime"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://wiki.postgresql.org/wiki/Londiste_Tutorial">
    <title>Londiste Tutorial - PostgreSQL Wiki</title>
    <dc:date>2009-09-10T21:46:49+00:00</dc:date>
    <link>http://wiki.postgresql.org/wiki/Londiste_Tutorial</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[a postres single master replication app.
]]></description>
<dc:subject>postgresql scalability performance python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:52ca5f4ad29d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:postgresql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://tilecache.org/">
    <title>TileCache, from MetaCarta Labs</title>
    <dc:date>2009-09-08T08:40:07+00:00</dc:date>
    <link>http://tilecache.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[thingy that caches map tiles in a map-tile aware way making it, well, fast. IIRC this is used by Open Street Maps.
]]></description>
<dc:subject>scalability performance mapping python opensource</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:51ab2badaef5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mapping"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bret.appspot.com/entry/how-friendfeed-uses-mysql">
    <title>How FriendFeed uses MySQL to store schema-less data - Bret Taylor's blog</title>
    <dc:date>2009-09-02T04:40:14+00:00</dc:date>
    <link>http://bret.appspot.com/entry/how-friendfeed-uses-mysql</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[fascintating hybrid of schemaless and schema'd high performance datastore at friendfeed. - stashing indexed free(ish)-form serialised python objects in the fields.
]]></description>
<dc:subject>nosql mysql db python scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:4048ea73f900/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mysql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.eflorenzano.com/blog/post/my-thoughts-nosql/">
    <title>My Thoughts on NoSQL - Die in a Fire - Eric Florenzano’s Blog</title>
    <dc:date>2009-09-02T02:06:41+00:00</dc:date>
    <link>http://www.eflorenzano.com/blog/post/my-thoughts-nosql/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[go, floguy. TRadeoffs for some trendy non-relations DBMSs
]]></description>
<dc:subject>db couchdb comparison nosql tokyocabinet scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:d4e828e44928/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:couchdb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:comparison"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:tokyocabinet"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://supervisord.org/">
    <title>Supervisor</title>
    <dc:date>2009-08-26T05:57:35+00:00</dc:date>
    <link>http://supervisord.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[an alternative process manager that doesn't require you to write daemonising startup scripts, and manages your unforked processes itself.
]]></description>
<dc:subject>python cli server opensource scalability phm unix</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:0313c6f55b61/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cli"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:server"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:phm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:unix"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.pointy-stick.com/blog/2008/12/13/etags-and-modification-times-django/">
    <title>Defying Classification: ETags And Modification Times In Django</title>
    <dc:date>2009-08-20T06:38:10+00:00</dc:date>
    <link>http://www.pointy-stick.com/blog/2008/12/13/etags-and-modification-times-django/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[how to make them etags behave nice-like. an save CPU time to boot.
]]></description>
<dc:subject>scalability django phm</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:a85bee98114e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:django"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:phm"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.w3.org/2001/tag/doc/leastPower.html">
    <title>The Rule of Least Power</title>
    <dc:date>2009-08-19T01:38:46+00:00</dc:date>
    <link>http://www.w3.org/2001/tag/doc/leastPower.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Even the w3c endorses this idea: that you should make your data as easy to understand as possible.
]]></description>
<dc:subject>netcultures parsimony standards complexity scalability philosophy evolution</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:15787f1c5bb3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:netcultures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:parsimony"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:standards"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:complexity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:philosophy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:evolution"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.vim-fu.com/?p=416">
    <title>bundling versioned ami's rapidly in Amazon's ec2 | Vim-Fu</title>
    <dc:date>2009-07-30T06:21:49+00:00</dc:date>
    <link>http://www.vim-fu.com/?p=416</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[managing rapdily mutating cloud server setups
]]></description>
<dc:subject>amazon scalability performance scm</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:1890a78fadfc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scm"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.boxedice.com/2009/07/25/choosing-a-non-relational-database-why-we-migrated-from-mysql-to-mongodb/">
    <title>Choosing a non-relational database</title>
    <dc:date>2009-07-30T06:21:17+00:00</dc:date>
    <link>http://blog.boxedice.com/2009/07/25/choosing-a-non-relational-database-why-we-migrated-from-mysql-to-mongodb/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[pluses and minuses of mongodb vs MySQL
]]></description>
<dc:subject>comparison db scalability couchdb nosql mongodb</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:bb37582c9a2a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:comparison"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:couchdb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mongodb"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://jacobian.org/speaking/2009/oscon/">
    <title>Django in the Real World</title>
    <dc:date>2009-07-24T01:05:01+00:00</dc:date>
    <link>http://jacobian.org/speaking/2009/oscon/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Jacob does the whole deal - scalability, deployment, replication etc
]]></description>
<dc:subject>django deployment python scalability db opensource via:cogat</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c4f87b6fafe1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:django"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:deployment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:via:cogat"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.pythoughts.com/">
    <title>PyThoughts - Web Development, Life, Writing, Etc.</title>
    <dc:date>2009-07-14T04:26:10+00:00</dc:date>
    <link>http://blog.pythoughts.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[nice little python blog
]]></description>
<dc:subject>gae google python scalability howto</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:8b0fad9302b5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:gae"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:howto"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://django-denorm.initcrash.net/">
    <title>Welcome to django-denorm’s documentation! — django-denorm v0.1 documentation</title>
    <dc:date>2009-07-02T04:06:03+00:00</dc:date>
    <link>http://django-denorm.initcrash.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["django-denorm provides a declarative way of denormalizing models in Django based applications while maintaining data consistency." - another solution to db scalability problems - use JOINS for canonical refs, but load denormalised copies. also allows some nice queries not natively supported by the django ORM, which this framework makes transparent.
]]></description>
<dc:subject>django scalability db orm</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:2d9d7ba3a5e5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:django"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:orm"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://wiki.apache.org/cassandra/FrontPage">
    <title>FrontPage - Cassandra Wiki</title>
    <dc:date>2009-07-02T01:23:47+00:00</dc:date>
    <link>http://wiki.apache.org/cassandra/FrontPage</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Cassandra is the new hotness. V. distributed, non-relational data store with flexible indexing and data models. open-sourced by facebook. Overkill for everything I do, (i will never have that many db writes that i want to live with its warts) but nice to know it's there.
]]></description>
<dc:subject>db scalability performance facebook opensource cassandra nosql</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:5d7c16f7e720/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:facebook"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cassandra"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nosql"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://incubator.apache.org/cassandra/">
    <title>Cassandra Project</title>
    <dc:date>2009-06-25T01:37:49+00:00</dc:date>
    <link>http://incubator.apache.org/cassandra/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[facebook's own google bigtable workalike. Except it's better and stuff. and crashy.
]]></description>
<dc:subject>facebook opensource db performance scalability distributed Cassandra nosql</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:d31fbd26ca24/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:facebook"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Cassandra"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nosql"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://discoproject.org/">
    <title>Disco</title>
    <dc:date>2009-06-25T01:29:09+00:00</dc:date>
    <link>http://discoproject.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[python mapreduce framework, for all those massive corups analysis tasks. written in erlang, btw.
]]></description>
<dc:subject>opensource framework distributed mapreduce scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:19071598778b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:framework"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://couchdb.apache.org/">
    <title>Apache CouchDB: The CouchDB Project</title>
    <dc:date>2009-06-25T01:25:02+00:00</dc:date>
    <link>http://couchdb.apache.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[the sexiest REST db in the game.
]]></description>
<dc:subject>nosql couchdb db opensource javascript erlang scalability rest scm</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:3e847740ce53/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:couchdb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:erlang"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:rest"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scm"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://hunch.net/~vw/">
    <title>Vowpal Wabbit (Fast Online Learning)</title>
    <dc:date>2009-06-22T00:38:40+00:00</dc:date>
    <link>http://hunch.net/~vw/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[There are two ways to have a fast learning algorithm: (a) start with a slow algorithm and speed it up, or (b) build an intrinsically fast learning algorithm. This project is about approach (b), and it's reached a state where it may be useful to others as a platform for research and experimentation.

There are two algorithms, one implementing specialist gradient descent (GD) on squared loss and the other implementing specialist exponentiated gradient descent (SEG) on squared loss.
]]></description>
<dc:subject>learning ai statistics compsci scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c148c04461ed/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.skyhunter.com/marcs/ewalnut.html">
    <title>E in a Walnut</title>
    <dc:date>2009-06-17T04:30:01+00:00</dc:date>
    <link>http://www.skyhunter.com/marcs/ewalnut.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[crazy - a distributed, high security language for computation over crappy, slow, compromised or untrusted networks.
]]></description>
<dc:subject>security capabilities e p2p distributed concurrency compsci scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:39c285bf9319/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:security"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:capabilities"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:e"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:p2p"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:concurrency"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://googleresearch.blogspot.com/2009/06/large-scale-graph-computing-at-google.html">
    <title>Official Google Research Blog: Large-scale graph computing at Google</title>
    <dc:date>2009-06-16T04:09:19+00:00</dc:date>
    <link>http://googleresearch.blogspot.com/2009/06/large-scale-graph-computing-at-google.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[google making moves to open their large scale graph analysis infrastructure. Or at least discuss the implementation.
]]></description>
<dc:subject>graph scalability networks</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:2dc10806c3a2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:graph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:networks"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.mongodb.org/display/DOCS/Home">
    <title>Home - MongoDB - 10gen Confluence</title>
    <dc:date>2009-06-08T15:17:31+00:00</dc:date>
    <link>http://www.mongodb.org/display/DOCS/Home</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["MongoDB is a high-performance, open source, schema-free document-oriented database. MongoDB is written in C++ and offers the following features:

Collection oriented storage - easy storage of object-style data
Dynamic queries
Full index support, including on inner objects
Query profiling
Replication and fail-over support
Efficient storage of binary data including large objects (e.g. videos)
Auto-sharding for cloud-level scalability (Q209)
A key goal of MongoDB is to bridge the gap between key/value stores (which are fast and highly scalable) and traditional RDBMS systems (which are deep in functionality)."

an indexed store of JSON objects that get deserialised into whatever client language you connect using. handy. looks faster and easier than couch
]]></description>
<dc:subject>json db python ruby scalability opensource c++ mongodb nosql</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:50df91bdc13c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:json"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ruby"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mongodb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nosql"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.caktusgroup.com/blog/2009/05/26/testing-django-views-for-concurrency-issues/">
    <title>Caktus Blog » Blog Archive » Testing Django Views for Concurrency Issues</title>
    <dc:date>2009-05-28T00:36:51+00:00</dc:date>
    <link>http://www.caktusgroup.com/blog/2009/05/26/testing-django-views-for-concurrency-issues/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[wunderschön! a decorator that allows you to write unit tests for django to detect threading collisions under load
]]></description>
<dc:subject>python django scalability thread testing</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:fa93d7820aec/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:django"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:thread"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:testing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://oubiwann.blogspot.com/2009/04/after-cloud-prelude.html">
    <title>Electric Duncan: After the Cloud: Prelude</title>
    <dc:date>2009-04-20T06:07:12+00:00</dc:date>
    <link>http://oubiwann.blogspot.com/2009/04/after-cloud-prelude.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[essay in progress in cloud hosting futures
]]></description>
<dc:subject>python hosting cloud scalability parsimony</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:20ba20a80bba/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:hosting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cloud"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:parsimony"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blogs.digitar.com/jjww/2009/01/rabbits-and-warrens/">
    <title>Rabbits and warrens. - Jason’s .plan</title>
    <dc:date>2009-04-13T12:00:32+00:00</dc:date>
    <link>http://blogs.digitar.com/jjww/2009/01/rabbits-and-warrens/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[AMQP ("queueing") HOWTO for python, based around RabbitMQ, the erlang AQMP flagship.
]]></description>
<dc:subject>opensource python scalability programming erlang phm amqp howto</dc:subject>
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