I’m increasingly encountering users on Heroku that are encountering the need to shard their data. For most users this is something you delay as long as possible as you can generally go for sometime before you have to worry about it. Additionally scaling up your database is often a reasonable approach early on and something I encourage as a starting point as scaling up is easy to do with regards to databases. However, for the 1% of users that do need to shard when the time comes many are left wondering where to start, hence the fo...

Really Excellent article about queues, overloads, bottlenecks and architecture

As we’ve scaled Instagram to an ever-growing number of active users, Postgres has continued to be our solid foundation and the canonical data storage for most of the data created by our users. While less than a year ago, we blogged about how we “stored a lot of data” at Instagram at 90 likes per second, we’re now pushing over 10,000 likes per second at peak–and our fundamental storage technology hasn’t changed.

Java performance issues are often attributable to bad database access patterns. In this article a top performance field engineer demonstrates his patterns for diagnosing database related issues.

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To publish iCal through Rails, install iCalendar gem gem install icalendar then in Controller, code to export event ( export to *.ics file) should look like, require ‘icalendar’ class …

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