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+# Postgres Performance for Humans
+
+To many developers the database is a black box. You expect to be able to put data into your database, have it to stay there, and get it out when you query it... hopefully in a performant manner. When its not performant enough the two options are usually add some indexes or throw some hardware at it. We'll walk through a bit of a clearer guide of how you can understand how database is doing from a 30,000 foot perspective as well as analyze specific problematic queries and how to tune them. In particular we'll cover:
+
+* Postgres Caching
+* Postgres Indexing
+* Explain Plans
+* Extensions
+* More
+
+## Craig Kerstiens
+
+I'm part of the team at Heroku. I've worked in a variety of roles from some engineering to  product management while at Heroku. Early at Heroku I launched our Python support and now am the Product Manager for the Heroku Postgres Database as a Service product. I blog a good bit about Postgres, startups and other things at craigkerstiens.com and curate Postgres Weekly.
+
+![Profile picture](./profile_picture.png)
+
+- [My website](http://www.craigkerstiens.com)
+- [My twitter](https://twitter.com/craigkerstiens)
+- [Past talk slides - various ones](https://speakerdeck.com/craigkerstiens)
+- [Past talk video](http://www.youtube.com/watch?v=3TnVl97ZZL8)
+- [Past talk video](http://pyvideo.org/video/1734/going-beyond-the-django-orm-limitations-with-post)
+- [Past talk video](https://vimeo.com/56682925)
+- [Past talk video](http://www.youtube.com/watch?v=MT2gzzbyWpw)
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