More on Postgres Performance
If you missed my previous post on Understanding Postgres Performance its a great starting point. On this particular post I’m going to dig in to some real life examples of optimizing queries and indexes. It all starts with statsI wrote about some of the great new features in Postgres 9.2 in the recent announcement on support of Postgres 9.2 on Heroku. One of those awesome features, is pg_stat_state
Using Postgres Arrays in Django
A few weeks back I did a brief feature highlight on Postgres arrays. Since that time I’ve found myself using them with increasing regularity on small side projects. Much of this time I’m using Django and of course not opting to write raw SQL to be able to use arrays. Django actually makes it quite simple to work with Arrays in Postgres with a package by Andrey Antukh. Lets get started by installin
Redis in my Postgres
Yesterday there was a post which hit Hacker News that talked about using SQL to access Mongo. While this is powerful I think much of the true value was entirely missed within the post. SQL is an expressive language, though people are often okay with accessing Mongo data through its own ORM. The real value is that you could actually query the data from within Postgres then join across your data sto
Understanding Postgres Performance
Update theres a more recent post that expands further on where to start optimizing specific queries, and of course if you want to dig into optimizing your infrastructure High Performance PostgreSQL is still a great read For many application developers their database is a black box. Data goes in, comes back out and in between there developers hope its a pretty short time span. Without becoming a DB
How Heroku Works - Maker's Day
In my earlier post on Teams and Tools at Heroku, I mentioned how we value engineers’ time; their work has enabled us to build a great platform. As a result of what we’ve built, we’ve had great growth both of our platform and of our teams internally. With that growth inevitably comes different distractions on engineers’ time. Despite how a manager may plan things, engineering work needs long period
Why PostgreSQL Part 2
This post is a list of many of the reasons to use Postgres, much this content as well as how to use these features will later be curated within PostgresGuide.com. If you need to get started check out Postgres.app for Mac, or get a Cloud instance at Heroku Postgres for free Last week I did a post on the many reasons to use Postgres. My goal with the post was two fold: Call out some of the historica
Why Postgres
This post is a list of many of the reasons to use Postgres, much this content as well as how to use these features will later be curated within PostgresGuide.com. If you need to get started check out Postgres.app for Mac, or get a Cloud instance at Heroku Postgres for free UPDATE: A part 2 has been posted on Why Use Postgres Very often recently I find myself explaining why Postgres is so great. In
How Heroku Works - Hiring
I alluded in earlier posts of How Heroku Works that we have talented engineers. In fact I would venture to say that there is not a weak link when it comes to our engineers at Heroku. Ensuring we have talented engineers makes it easier for us to find other talented engineers and maintains a level of quality in our product. This means we must be very careful about not diluting our pool of engineerin
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How I work with Postgres – psql, My PostgreSQL Admin
Introducing django-db-tools - Craig Kerstiens
Arrays in Postgres
Rapid API Prototyping with Heroku Postgres Dataclips - Craig Kerstiens
Protips for Conference Talks
Feedback for Conference Organizers