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    <title>Autopilot: workload autoscaling at Google</title>
    <dc:date>2020-05-07T16:14:24+00:00</dc:date>
    <link>https://dl.acm.org/doi/pdf/10.1145/3342195.3387524</link>
    <dc:creator>amy</dc:creator><description><![CDATA[In many public and private Cloud systems, users need to
specify a limit for the amount of resources (CPU cores and
RAM) to provision for their workloads. A job that exceeds
its limits might be throttled or killed, resulting in delaying or
dropping end-user requests, so human operators naturally
err on the side of caution and request a larger limit than the
job needs. At scale, this results in massive aggregate resource
wastage.
To address this, Google uses Autopilot to configure resources automatically, adjusting both the number of concurrent tasks in a job (horizontal scaling) and the CPU/memory
limits for individual tasks (vertical scaling). Autopilot walks
the same fine line as human operators: its primary goal is
to reduce slack – the difference between the limit and the
actual resource usage – while minimizing the risk that a task
is killed with an out-of-memory (OOM) error or its performance degraded because of CPU throttling. Autopilot uses
machine learning algorithms applied to historical data about
prior executions of a job, plus a set of finely-tuned heuristics,
to walk this line. In practice, Autopiloted jobs have a slack
of just 23%, compared with 46% for manually-managed jobs.
Additionally, Autopilot reduces the number of jobs severely
impacted by OOMs by a factor of 10.
Despite its advantages, ensuring that Autopilot was widely
adopted took significant effort, including making potential
recommendations easily visible to customers who had yet
to opt in, automatically migrating certain categories of jobs,
and adding support for custom recommenders]]></description>
<dc:subject>cloud scalability</dc:subject>
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    <dc:date>2013-02-25T02:05:08+00:00</dc:date>
    <link>http://cacm.acm.org/magazines/2013/2/160173-the-tail-at-scale/fulltext</link>
    <dc:creator>amy</dc:creator><dc:subject>performance scalability paper</dc:subject>
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    <title>Instagram Engineering • Sharding &amp; IDs at Instagram</title>
    <dc:date>2011-10-04T08:34:51+00:00</dc:date>
    <link>http://instagram-engineering.tumblr.com/post/10853187575/sharding-ids-at-instagram</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability architecture engineering databases</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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    <title>Moving Fast at Scale: the slides, and a reprise in NYC « Code as Craft</title>
    <dc:date>2011-03-19T19:48:52+00:00</dc:date>
    <link>http://codeascraft.etsy.com/2011/03/19/moving-fast-at-scale-slides-and-reprise/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[etsy]]></description>
<dc:subject>sxsw devops presentations scalability</dc:subject>
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    <title>Life science apps on aws - mndoci.github.com - GitHub</title>
    <dc:date>2010-09-20T21:03:05+00:00</dc:date>
    <link>http://github.com/mndoci/mndoci.github.com/wiki/Life-Science-Apps-on-AWS</link>
    <dc:creator>amy</dc:creator><dc:subject>genomics scalability aws ec2 analysis distributed</dc:subject>
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<item rdf:about="http://www.tornadoweb.org/">
    <title>Tornado Web Server</title>
    <dc:date>2010-03-10T18:15:29+00:00</dc:date>
    <link>http://www.tornadoweb.org/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Tornado is an open source version of the scalable, non-blocking web server and tools that power FriendFeed. The FriendFeed application is written using a web framework that looks a bit like web.py or Google's webapp, but with additional tools and optimizations to take advantage of the underlying non-blocking infrastructure.

The framework is distinct from most mainstream web server frameworks (and certainly most Python frameworks) because it is non-blocking and reasonably fast. Because it is non-blocking and uses epoll, it can handle thousands of simultaneous standing connections, which means it is ideal for real-time web services. We built the web server specifically to handle FriendFeed's real-time features — every active user of FriendFeed maintains an open connection to the FriendFeed servers. (For more information on scaling servers to support thousands of clients, see The C10K problem.)

See the Tornado documentation for a detailed walkthrough of the framework.]]></description>
<dc:subject>python scalability</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:bfee08f5794e/</dc:identifier>
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<item rdf:about="http://bret.appspot.com/entry/web-sockets-in-tornado">
    <title>Web Sockets in Tornado - Bret Taylor's blog</title>
    <dc:date>2009-12-31T15:47:03+00:00</dc:date>
    <link>http://bret.appspot.com/entry/web-sockets-in-tornado</link>
    <dc:creator>amy</dc:creator><description><![CDATA[The Web Sockets API enables web browsers to maintain a bi-directional communication channel to a server, which in turn makes implementing real-time web sites about 1000% easier than it is today.

Currently, the only reasonable technical facility available to browsers to communicate to web servers is XMLHttpRequest. Sites that update in real-time like FriendFeed use a number of horrible hacks on top of XMLHttpRequest like long-polling to get data in real-time. (If you are interested, Tornado ships with a chat demo application that uses this long-polling technique - here is the JavaScript in all its hacky glory).

Web Sockets support a much simpler interface that enables both the client and the server send messages to each other asynchronously]]></description>
<dc:subject>md gae scalability javascript</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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    <title>Geeking with Greg: Advice from Google on large distributed systems</title>
    <dc:date>2009-10-27T22:08:08+00:00</dc:date>
    <link>http://glinden.blogspot.com/2009/10/advice-from-google-on-large-distributed.html</link>
    <dc:creator>amy</dc:creator><dc:subject>distributed scalability google</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:5b6720bdff1e/</dc:identifier>
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    <title>Perspectives - Jeff Dean: Design Lessons and Advice from Building Large Scale Distributed Systems</title>
    <dc:date>2009-10-27T22:08:01+00:00</dc:date>
    <link>http://perspectives.mvdirona.com/2009/10/17/JeffDeanDesignLessonsAndAdviceFromBuildingLargeScaleDistributedSystems.aspx</link>
    <dc:creator>amy</dc:creator><dc:subject>distributed scalability google</dc:subject>
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    <title>Let's make the web faster - Google Code</title>
    <dc:date>2009-10-19T22:01:05+00:00</dc:date>
    <link>http://code.google.com/speed/articles/</link>
    <dc:creator>amy</dc:creator><dc:subject>web_dev optimization javascript tutorials development scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:df617eedfaf6/</dc:identifier>
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<item rdf:about="http://www.railsinside.com/deployment/338-how-a-1-engineer-rails-site-scaled-to-10-million-requests-per-day.html">
    <title>How a 1-Engineer Rails Site Scaled to 10 Million Requests Per Day</title>
    <dc:date>2009-10-11T17:10:32+00:00</dc:date>
    <link>http://www.railsinside.com/deployment/338-how-a-1-engineer-rails-site-scaled-to-10-million-requests-per-day.html</link>
    <dc:creator>amy</dc:creator><dc:subject>rails development scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:c1c055b837fe/</dc:identifier>
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<item rdf:about="http://highscalability.com/blog/2009/9/22/how-ravelry-scales-to-10-million-requests-using-rails.html">
    <title>High Scalability - High Scalability - How Ravelry Scales to 10 Million Requests Using Rails</title>
    <dc:date>2009-10-11T17:10:21+00:00</dc:date>
    <link>http://highscalability.com/blog/2009/9/22/how-ravelry-scales-to-10-million-requests-using-rails.html</link>
    <dc:creator>amy</dc:creator><dc:subject>rails development scalability</dc:subject>
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<item rdf:about="http://highscalability.com/">
    <title>High Scalability | Building bigger, faster, more reliable websites.</title>
    <dc:date>2009-07-28T17:01:13+00:00</dc:date>
    <link>http://highscalability.com/</link>
    <dc:creator>amy</dc:creator><dc:subject>web_dev scalability</dc:subject>
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    <title>5 Ways to Speed Up Your Rails App | Engine Yard Blog</title>
    <dc:date>2009-07-10T00:29:04+00:00</dc:date>
    <link>http://www.engineyard.com/blog/2009/5-ways-to-speed-up-your-rails-app/</link>
    <dc:creator>amy</dc:creator><dc:subject>rails tips scalability</dc:subject>
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<item rdf:about="http://agiletesting.blogspot.com/2009/04/experiences-deploying-large-scale.html">
    <title>Agile Testing: Experiences deploying a large-scale infrastructure in Amazon EC2</title>
    <dc:date>2009-04-10T21:13:15+00:00</dc:date>
    <link>http://agiletesting.blogspot.com/2009/04/experiences-deploying-large-scale.html</link>
    <dc:creator>amy</dc:creator><dc:subject>aws ec2 scalability distributed computing deployment</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:ba96384403c9/</dc:identifier>
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<item rdf:about="http://video.google.com/videoplay?docid=-5699448884004201579">
    <title>Building Large Systems at Google</title>
    <dc:date>2009-04-10T17:50:17+00:00</dc:date>
    <link>http://video.google.com/videoplay?docid=-5699448884004201579</link>
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<item rdf:about="http://axonflux.com/building-and-scaling-a-startup">
    <title>Building and Scaling a Startup on Rails: 12 Things We Learned the Hard Way - Axon Flux // A Ruby on Rails Blog</title>
    <dc:date>2009-04-10T17:48:45+00:00</dc:date>
    <link>http://axonflux.com/building-and-scaling-a-startup</link>
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</item>
<item rdf:about="http://www.youtube.com/watch?v=9GGinUZsNlU">
    <title>YouTube - SXSWi Scaling Rails in the Cloud P1Y</title>
    <dc:date>2009-04-10T16:01:36+00:00</dc:date>
    <link>http://www.youtube.com/watch?v=9GGinUZsNlU</link>
    <dc:creator>amy</dc:creator><description><![CDATA[otherinbox]]></description>
<dc:subject>rails sxsw videos presentations scalability amazon aws ec2 s3</dc:subject>
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<item rdf:about="http://www.allthingsdistributed.com/2009/03/keeping_your_database_simple_and_fast.html">
    <title>Good Advice on Keeping Your Database Simple and Fast. - All Things Distributed</title>
    <dc:date>2009-04-10T15:29:10+00:00</dc:date>
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</item>
<item rdf:about="http://www.technologyreview.com/blog/editors/23282/">
    <title>Technology Review: Blogs: TR Editors' blog: The Secret Behind Twitter's Growth</title>
    <dc:date>2009-04-02T15:09:21+00:00</dc:date>
    <link>http://www.technologyreview.com/blog/editors/23282/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[on scala]]></description>
<dc:subject>scalability twitter computer_languages</dc:subject>
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</item>
<item rdf:about="http://railslab.newrelic.com/">
    <title>Rails Lab .:. Expert advice on tuning and optimizing your Rails app</title>
    <dc:date>2009-03-23T13:51:17+00:00</dc:date>
    <link>http://railslab.newrelic.com/</link>
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<item rdf:about="http://highscalability.com/strategy-flickr-do-essential-work-front-and-queue-rest">
    <title>Strategy: Flickr - Do the Essential Work Up-front and Queue the Rest  | High Scalability</title>
    <dc:date>2009-02-22T20:20:44+00:00</dc:date>
    <link>http://highscalability.com/strategy-flickr-do-essential-work-front-and-queue-rest</link>
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</item>
<item rdf:about="http://www.railsenvy.com/2009/2/10/scaling-rails-screencasts">
    <title>Rails Envy: Scaling Rails Screencasts</title>
    <dc:date>2009-02-11T22:14:13+00:00</dc:date>
    <link>http://www.railsenvy.com/2009/2/10/scaling-rails-screencasts</link>
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</item>
<item rdf:about="http://liftweb.net/index.php/Main_Page">
    <title>Scala Lift</title>
    <dc:date>2008-12-14T19:07:23+00:00</dc:date>
    <link>http://liftweb.net/index.php/Main_Page</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Lift is an expressive and elegant framework for writing web applications. Lift stresses the importance of security, maintainability, scalability and performance, while allowing for high levels of developer productivity. Lift is  open source software licensed under an Apache 2.0 license.]]></description>
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</item>
<item rdf:about="http://code.google.com/p/the-cassandra-project/">
    <title>the-cassandra-project - Google Code</title>
    <dc:date>2008-07-15T00:09:27+00:00</dc:date>
    <link>http://code.google.com/p/the-cassandra-project/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Cassandra is a distributed storage system for managing structured data while providing reliability at a massive scale.]]></description>
<dc:subject>database p2p distributed grid scalability storage</dc:subject>
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</item>
<item rdf:about="http://www.hueniverse.com/hueniverse/2008/03/on-scaling-a-mi.html">
    <title>Hueniverse: Scaling a Microblogging Service - Part I</title>
    <dc:date>2008-05-30T20:11:54+00:00</dc:date>
    <link>http://www.hueniverse.com/hueniverse/2008/03/on-scaling-a-mi.html</link>
    <dc:creator>amy</dc:creator><dc:subject>twitter scalability tbr</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:9a96c550aa0e/</dc:identifier>
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</item>
<item rdf:about="http://dev.twitter.com/2008/05/youve-got-qs-weve-got-as.html">
    <title>Twitter Technology Blog: You've Got Q's, We've Got A's</title>
    <dc:date>2008-05-30T20:10:36+00:00</dc:date>
    <link>http://dev.twitter.com/2008/05/youve-got-qs-weve-got-as.html</link>
    <dc:creator>amy</dc:creator><dc:subject>twitter scalability</dc:subject>
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<item rdf:about="http://www.techcrunch.com/2008/04/03/scalr-the-auto-scaling-open-source-amazon-ec2-effort/">
    <title>Scalr: The Auto-Scaling Open-Source Amazon EC2 Effort</title>
    <dc:date>2008-04-21T15:20:13+00:00</dc:date>
    <link>http://www.techcrunch.com/2008/04/03/scalr-the-auto-scaling-open-source-amazon-ec2-effort/</link>
    <dc:creator>amy</dc:creator><dc:subject>aws ec2 scalability cloud_computing</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:e245a8de2af6/</dc:identifier>
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</item>
<item rdf:about="http://code.google.com/p/scalr/">
    <title>scalr - Google Code</title>
    <dc:date>2008-04-21T15:12:54+00:00</dc:date>
    <link>http://code.google.com/p/scalr/</link>
    <dc:creator>amy</dc:creator><dc:subject>aws cloud_computing infrastructure ec2 scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:ecc90c6920b1/</dc:identifier>
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<item rdf:about="http://aws.typepad.com/aws/2008/04/scalr-.html">
    <title>Amazon Web Services Blog: Scalr - Scalable Web Sites with EC2</title>
    <dc:date>2008-04-21T15:11:56+00:00</dc:date>
    <link>http://aws.typepad.com/aws/2008/04/scalr-.html</link>
    <dc:creator>amy</dc:creator><dc:subject>amazon ec2 scalability grid</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:cfcf9471dacb/</dc:identifier>
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<item rdf:about="http://blog.rightscale.com/2008/03/26/setting-up-a-fault-tolerant-site-using-amazons-availability-zones/">
    <title>Setting up a fault-tolerant site using Amazon’s Availability Zones « RightScale Blog</title>
    <dc:date>2008-04-04T00:21:12+00:00</dc:date>
    <link>http://blog.rightscale.com/2008/03/26/setting-up-a-fault-tolerant-site-using-amazons-availability-zones/</link>
    <dc:creator>amy</dc:creator><dc:subject>ec2 amazon scalability cloud_computing</dc:subject>
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</item>
<item rdf:about="http://www.scribd.com/doc/49575/Scaling-Rails-Presentation">
    <title>Scaling Rails Presentation</title>
    <dc:date>2008-02-29T03:36:17+00:00</dc:date>
    <link>http://www.scribd.com/doc/49575/Scaling-Rails-Presentation</link>
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<item rdf:about="http://ec2onrails.rubyforge.org/">
    <title>EC2 on Rails</title>
    <dc:date>2008-02-11T17:47:45+00:00</dc:date>
    <link>http://ec2onrails.rubyforge.org/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Deploy a Ruby on Rails app on EC2 in five minutes]]></description>
<dc:subject>aws rails ec2 amazon ruby scalability virtualization deployment</dc:subject>
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</item>
<item rdf:about="http://www.allthingsdistributed.com/2007/12/eventually_consistent.html">
    <title>Eventually Consistent - All Things Distributed</title>
    <dc:date>2008-01-31T18:22:12+00:00</dc:date>
    <link>http://www.allthingsdistributed.com/2007/12/eventually_consistent.html</link>
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</item>
<item rdf:about="http://glinden.blogspot.com/2007/01/yahoo-research-on-distributed-web.html">
    <title>Geeking with Greg: Yahoo Research on distributed web search</title>
    <dc:date>2008-01-31T18:21:17+00:00</dc:date>
    <link>http://glinden.blogspot.com/2007/01/yahoo-research-on-distributed-web.html</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability search distributed research</dc:subject>
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</item>
<item rdf:about="http://students.washington.edu/gcheng/tutorials/large/large.html">
    <title>Large scale data analysis, HOWTO?</title>
    <dc:date>2007-11-24T17:55:45+00:00</dc:date>
    <link>http://students.washington.edu/gcheng/tutorials/large/large.html</link>
    <dc:creator>amy</dc:creator><dc:subject>datamining scalability tutorials</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:176559249b98/</dc:identifier>
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</item>
<item rdf:about="http://www.highscalability.com/unorthodox-approach-database-design-coming-shard">
    <title>An Unorthodox Approach to Database Design : The Coming of the Shard | High Scalability</title>
    <dc:date>2007-10-14T00:44:49+00:00</dc:date>
    <link>http://www.highscalability.com/unorthodox-approach-database-design-coming-shard</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability database</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:5a38a2efb86d/</dc:identifier>
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</item>
<item rdf:about="http://www.25hoursaday.com/weblog/2007/10/10/WhenDatabasesLieConsistencyVsAvailabilityInDistributedSystems.aspx">
    <title>When Databases Lie: Consistency vs. Availability in Distributed Systems</title>
    <dc:date>2007-10-13T23:55:19+00:00</dc:date>
    <link>http://www.25hoursaday.com/weblog/2007/10/10/WhenDatabasesLieConsistencyVsAvailabilityInDistributedSystems.aspx</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability distributed networks database</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:e62dcef7151a/</dc:identifier>
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</item>
<item rdf:about="http://www.allthingsdistributed.com/2007/10/amazons_dynamo.html">
    <title>Amazon's Dynamo - All Things Distributed</title>
    <dc:date>2007-10-10T11:27:40+00:00</dc:date>
    <link>http://www.allthingsdistributed.com/2007/10/amazons_dynamo.html</link>
    <dc:creator>amy</dc:creator><dc:subject>amazon aws scalability academia</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:e90731b0cc7b/</dc:identifier>
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</item>
<item rdf:about="http://drnicwilliams.com/2007/04/12/magic-multi-connections-a-facility-in-rails-to-talk-to-more-than-one-database-at-a-time/">
    <title>Dr Nic    » Magic Multi-Connections: A “facility in Rails to talk to more than one database at a time”</title>
    <dc:date>2007-09-15T19:02:54+00:00</dc:date>
    <link>http://drnicwilliams.com/2007/04/12/magic-multi-connections-a-facility-in-rails-to-talk-to-more-than-one-database-at-a-time/</link>
    <dc:creator>amy</dc:creator><dc:subject>ruby rails database scalability</dc:subject>
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<item rdf:about="http://www.mooseyard.com/Jens/2007/04/twitter-rails-hammers-and-11000-nails-per-second/">
    <title>Twitter, Rails, Hammers, and 11,000 Nails per Second — Thought Palace</title>
    <dc:date>2007-09-15T17:55:45+00:00</dc:date>
    <link>http://www.mooseyard.com/Jens/2007/04/twitter-rails-hammers-and-11000-nails-per-second/</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability</dc:subject>
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<item rdf:about="http://highscalability.com/scaling-twitter-making-twitter-10000-percent-faster">
    <title>Scaling Twitter: Making Twitter 10000 Percent Faster | High Scalability</title>
    <dc:date>2007-09-15T16:35:51+00:00</dc:date>
    <link>http://highscalability.com/scaling-twitter-making-twitter-10000-percent-faster</link>
    <dc:creator>amy</dc:creator><dc:subject>optimization scalability rails architecture</dc:subject>
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<item rdf:about="http://lucene.apache.org/hadoop/">
    <title>Welcome to Hadoop!</title>
    <dc:date>2007-08-08T15:26:14+00:00</dc:date>
    <link>http://lucene.apache.org/hadoop/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[mapreduce implementation]]></description>
<dc:subject>search open_source concurrency scalability algorithms</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:77a3fd29a055/</dc:identifier>
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<item rdf:about="http://www.datawrangling.com/google-paper-on-parallel-em-algorithm-using-mapreduce.html">
    <title>Google Paper on Parallel EM Algorithm using MapReduce » Data Wrangling Blog</title>
    <dc:date>2007-07-15T01:11:48+00:00</dc:date>
    <link>http://www.datawrangling.com/google-paper-on-parallel-em-algorithm-using-mapreduce.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[The part I found interesting was the first detailed description of using the MapReduce model to run large-scale Expectation Maximization (EM) computations in parallel. An implementation of this on Hadoop and Amazon EC2 will let you tackle some large scale]]></description>
<dc:subject>research google machine_learning ec2 amazon aws scalability collaborative_filtering academia</dc:subject>
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<item rdf:about="http://www.itconversations.com/shows/detail1634.html">
    <title>IT Conversations: Werner Vogels</title>
    <dc:date>2007-07-03T22:51:43+00:00</dc:date>
    <link>http://www.itconversations.com/shows/detail1634.html</link>
    <dc:creator>amy</dc:creator><dc:subject>amazon scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:3e1928a8c658/</dc:identifier>
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<item rdf:about="http://www.25hoursaday.com/weblog/2007/06/26/GoogleScalabilityConferenceTripReportScalingGoogleForEveryUser.aspx">
    <title>Dare Obasanjo aka Carnage4Life - Google Scalability Conference Trip Report: Scaling Google for Every User</title>
    <dc:date>2007-07-02T01:20:02+00:00</dc:date>
    <link>http://www.25hoursaday.com/weblog/2007/06/26/GoogleScalabilityConferenceTripReportScalingGoogleForEveryUser.aspx</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability google</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:8496021571f0/</dc:identifier>
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<item rdf:about="http://www.25hoursaday.com/weblog/2007/06/26/GoogleScalabilityConferenceTripReportLessonsInBuildingScalableSystems.aspx">
    <title>Dare Obasanjo aka Carnage4Life - Google Scalability Conference Trip Report: Lessons in Building Scalable Systems</title>
    <dc:date>2007-07-02T01:19:51+00:00</dc:date>
    <link>http://www.25hoursaday.com/weblog/2007/06/26/GoogleScalabilityConferenceTripReportLessonsInBuildingScalableSystems.aspx</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability google</dc:subject>
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</item>
<item rdf:about="http://www.25hoursaday.com/weblog/2007/06/26/GoogleScalabilityConferenceTripReportUsingMapReduceOnLargeGeographicDatasets.aspx">
    <title>Dare Obasanjo aka Carnage4Life - Google Scalability Conference Trip Report: Using MapReduce on Large Geographic Datasets</title>
    <dc:date>2007-07-02T01:19:43+00:00</dc:date>
    <link>http://www.25hoursaday.com/weblog/2007/06/26/GoogleScalabilityConferenceTripReportUsingMapReduceOnLargeGeographicDatasets.aspx</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability google</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:af80aa11d1d3/</dc:identifier>
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<item rdf:about="http://www.25hoursaday.com/weblog/2007/06/25/GoogleScalabilityConferenceTripReportMapReduceBigTableAndOtherDistributedSystemAbstractionsForHandlingLargeDatasets.aspx">
    <title>Dare Obasanjo aka Carnage4Life - Google Scalability Conference Trip Report: MapReduce, BigTable, and Other Distributed System Abstractions for Handling Large Datasets</title>
    <dc:date>2007-07-02T01:19:35+00:00</dc:date>
    <link>http://www.25hoursaday.com/weblog/2007/06/25/GoogleScalabilityConferenceTripReportMapReduceBigTableAndOtherDistributedSystemAbstractionsForHandlingLargeDatasets.aspx</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability google</dc:subject>
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<item rdf:about="http://glinden.blogspot.com/2007/06/more-on-google-scalability-conference.html">
    <title>Geeking with Greg: More on Google Scalability Conference</title>
    <dc:date>2007-07-02T01:18:55+00:00</dc:date>
    <link>http://glinden.blogspot.com/2007/06/more-on-google-scalability-conference.html</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability google comment</dc:subject>
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<item rdf:about="http://www.windley.com/archives/2007/03/aws_and_your_data_center_etech_2007.shtml">
    <title>Phil Windley's Technometria | AWS and Your Data Center: ETech 2007</title>
    <dc:date>2007-03-28T23:48:32+00:00</dc:date>
    <link>http://www.windley.com/archives/2007/03/aws_and_your_data_center_etech_2007.shtml</link>
    <dc:creator>amy</dc:creator><description><![CDATA[etech keynote]]></description>
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<dc:identifier>https://pinboard.in/u:amy/b:076ce2527c98/</dc:identifier>
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<item rdf:about="http://www.readwriteweb.com/archives/etech_amazon_cto_aws.php">
    <title>ETech: Amazon CTO Werner Vogels on Building Web-Scale Computing</title>
    <dc:date>2007-03-28T23:47:56+00:00</dc:date>
    <link>http://www.readwriteweb.com/archives/etech_amazon_cto_aws.php</link>
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<item rdf:about="http://www.acmqueue.com/modules.php?name=Content&amp;pa=showpage&amp;pid=388">
    <title>ACM Queue - A Conversation with Werner Vogels - Amazon's CTO explains what's behind its growth from online bookstore to e-commerce juggernaut.</title>
    <dc:date>2006-05-20T01:54:50+00:00</dc:date>
    <link>http://www.acmqueue.com/modules.php?name=Content&amp;pa=showpage&amp;pid=388</link>
    <dc:creator>amy</dc:creator><dc:subject>business distributed research scalability technology web_services interviews</dc:subject>
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<item rdf:about="http://www.allthingsdistributed.com/2006/04/performance_and_scalability.html">
    <title>All Things Distributed: Performance and Scalability</title>
    <dc:date>2006-05-17T09:37:23+00:00</dc:date>
    <link>http://www.allthingsdistributed.com/2006/04/performance_and_scalability.html</link>
    <dc:creator>amy</dc:creator><dc:subject>scalability software</dc:subject>
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<item rdf:about="http://www.25hoursaday.com/weblog/PermaLink.aspx?guid=2e03a43a-535e-49a1-afaa-b47eab5f71c2">
    <title>Dare Obasanjo aka Carnage4Life - ETech 2006 Trip Report: Scaling Fast and Cheap - How We Built Flickr</title>
    <dc:date>2006-03-28T22:14:53+00:00</dc:date>
    <link>http://www.25hoursaday.com/weblog/PermaLink.aspx?guid=2e03a43a-535e-49a1-afaa-b47eab5f71c2</link>
    <dc:creator>amy</dc:creator><dc:subject>database php tips scalability</dc:subject>
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