CRAIG KERSTIENS

The first area I tend to think about when it comes to developer marketing is around advocates.

As developers we can tend to be a fickle bunch; especially in certain open source communities.

I blog because I’m lazy.

Over a year ago I blogged about Heroku’s approach to Teams and Tools.

If you’re looking to get better performance from your Django apps you can check out Pro Django, PostgreSQL High Performance, or read some my earlier posts on Postgres Performance.

In an earlier post I provided a high level overview of sharding.

After my last post I had a variety of readers reach out about many different tweaks they’d made to their workflows using with psql.

On at least a weekly basis and not uncommonly multiple times in a single week I get this question: @neilmiddleton I’ve been hunting for a nice PG interface that works within other things.

For any successful web application there is likely to come a time when you need to conduct some large migration on the backend.

If you missed my previous post on Understanding Postgres Performance its a great starting point.

I’m increasingly encountering users on Heroku that are encountering the need to [shard](http://en.wikipedia.org/wiki/Shard_(database_architecture)) their data.

I recently got asked by a friend and former co-worker how I write SQL.

A few weeks back I did a brief feature highlight on Postgres arrays.

Yesterday there was a post which hit Hacker News that talked about using SQL to access Mongo.

A feature thats glaringly missing within Django and common in many other frameworks including many Java frameworks and Rails is connection pooling for your database connection.

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 the…

Postgres out of the box has an abundance of datatypes, from standard numeric datatypes to geometric or even network datatypes.

For small and large applications there often comes a time where you’re busy creating an API.

A few weeks ago I was sitting at the hotel in Zurich with Jacob Kaplan Moss prior to DjangoCon EU enjoying a beer, talking about Django, and discussing a bit about our upcoming talks for the conference.

Earlier this week while I was at DjangoCon EU there seemed to be a surprising amount of talk about MongoDB.

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.

First a huge thanks to all organizers of conferences, but especially for those that organize not-for-profit conferences.

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.

Update the talk for this is now viewable on YouTube here When I first came across Django I was an immediate fan.

Heroku’s latest Cedar stack supports running anything.

I’ve recently been amazed at the number of companies that are still using a VPN or other means to manage their apps/network.

I alluded in earlier posts of How Heroku Works that we have talented engineers.

For those completely new to web development, Django is a web framework that makes it easier to build web applications with Python.

NoSQL has long been a trend that many have talked about.

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.

Heroku is a largely agile company, we work in primarily small teams that talk via api and data contracts.

Now that you have you system and project environment all setup you probably want to start developing.

This is the first of a multipart series to getting started with Python.

I’ve been writing applications off and on for nearly 4 years now, since before Django 1.0 was even released.

Continuing with the recent posts on metrics and marketing.

If you have an hour to spare its well worth it to look back and look back at my series on startup/bootstrapped marketing.

A short while backed I talked about tactically measuring metrics for your site/company.

I had a recent request on how to setup a funnel in Google Analytics.

In a couple of various places I’ve seen light requests of how to put autocomplete in for a Django web application.

At a recent meetup I talked a bit about how I’d been using blog posts on other blogs, both free and paid for as a primary user acquisition tool.

We’ve talked some about SEO, media/blog posts, adwords, no one of these is a magic bullet.

For this third part on the series I’m going to dive into what people perhaps most traditionally think of with marketing startups, online advertising.

For the second part of the series we’re going talk a bit about finding the influencers in certain industries.

This is the first of a 4 part series on marketing for startups/bootstrapped companies.

Most all development projects start with a hunch at a problem.

Metrics are obviously a very valuable area for start-ups, if you don’t believe in metrics and think you’re idea wins just because its great then you better start searching for your next day job.

Google analytics is great out of the box, the basic tracking tag on every page will do a lot for you.

Google’s documentation is pretty good when it comes to how to create an extension that opens a full page and has large functionality.

I have a tendency of really latching onto very simple ideas.

The more I’ve been exposed to it the more the way a company conducts interviews is a very strong reflection of how the company’s current state is.