This short video looks at what it takes to push code to the site five days a week. Tomorrow we'll be hosting a Tech Talk on our push process in more...
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Blog Search when-present<#else>when-missing. (These only cover the last step of the expression; to cover the whole expression, use parenthesis: (myOptionalVar.foo)!myDefault, (myOptionalVar.foo)?? ---- ---- FTL stack trace ("~" means nesting-related): - Failed at: ${entry.path} [in template "__entry.ftlh" at line 3, column 25] - Reached through: #include "__entry.ftlh" [in template "entry.ftlh" at
Here I'll detail my buildout configuration for an install of Django, Solr (http search server, ), Varnish (http cache), and supervisord for controling solr and varnish. I'll show how to get a Debian init script for supervisord (of course instructions are valid for Ubuntu). I'll detail parts of base.cfg for each service, and I'll try to explain what and why. This may not be the best way to do that
Supervisor: A Process Control System¶ Supervisor is a client/server system that allows its users to monitor and control a number of processes on UNIX-like operating systems. It shares some of the same goals of programs like launchd, daemontools, and runit. Unlike some of these programs, it is not meant to be run as a substitute for init as âprocess id 1â. Instead it is meant to be used to control
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Visualization and Data Analysis, Konrad-Zuse-Zentrum für Informationstechnik, Berlin, Germany Visualization and Virtual Reality Group, FhG IGD Darmstadt, Germany Institute of Medical Informatics, University of Hamburg, Hamburg, Germany Medical Imaging Group, DKFZ Heidelberg, Germany Computer Graphics Group, Technical University of Kaiserslautern, Kaiserslautern, Germany Image and Signal Processing
Background We use MySQL for storing all of the data in FriendFeed. Our database has grown a lot as our user base has grown. We now store over 250 million entries and a bunch of other data, from comments and "likes" to friend lists. As our database has grown, we have tried to iteratively deal with the scaling issues that come with rapid growth. We did the typical things, like using read slaves and
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