You should Heroku
In mid-November me and my fiancee, Audrey Roy began our startup. We had been frustrated with trying to do on-line product research and came up with an idea to take the lessons learned from Django Packages / Open Comparison and apply them to a commercial effort. The result has been Consumer Notebook, and it's been a steadily growing success.
The Big Problem
I hate system administration work.
Sys admin is boring. I find it tedious and dull. Devops doesn't make it easier/faster, it just makes it possible to do it at a large scale.
Solution: Platform as a Service
Platform as a Service, or PaaS, is where someone else does the majority of work involved in system administration. There are now dozens of companies edging into the Python capable PaaS space. We've been leery of using any of them but finally settled on Heroku after a long period of evaluation.
We choose Heroku for a number of reasons:
- We competed in a Los Angeles area Hacking contest with Randall Degges. He was responsible for the sys admin and went with Heroku. He got it up and it was out of the way for the competition. He spent his time coding, adding features, and fixing templates instead of tweaking knobs on something in the cloud. We saw other people not deliver products at the contest because of this issue.
- Heroku doesn't lock you in. If I wanted to, I could take all the pieces out in about 10 minutes, then go old school and host it myself on my own closet server.
- Heroku has very good PostgreSQL support. Our web framework is Django, which has an ORM that works best with PostgreSQL.
- Heroku has staff. At least seventy of them. Odds are they would have people around 24/7 to deal with issues.
- The add-on system means they've got many other people adding great new features. Want MongoDB? No problem! How about something to handle video? You got it!
- Heroku scales up trivially. If we get an upswell of users, I just
heroku ps:scale web=50and I've got 50 web server things handling the load.
- When I think of Heroku I think of Puffer Fish. Which is awesome because Puffer Fish are awesome.
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Things that we really liked about using Heroku
As we progressed down the journey of building our site, we discovered even more nice features about Heroku. Here are some of the things that really make me smile:
- Releases and especially rollbacks means we deploy with a lot more confidence.
- Logging and other diagnostic add-ons like Sentry and New Relic means we know what's going on.
- During one huge data migration effort I scaled up the workers so a 6 hour task became a 5 minute task. Cost was less then 10 cents for workers instead of me losing hours of labor.
- In case we go viral, we don't have to worry about load balancers and all that high performance stuff.
What does that mean?
It means I'm doing the deployments. I'm the sys admin. And I'm happy with my role because it takes minutes out of my day. Me and Audrey team up on everything else and the results so far have been great. If you've ever worked with me, the fact that Consumer Notebook is administered and deployed by me is going to be a shock.
We've been able to really focus on development of the project. And when I mean development, I mean a lot of things. I mean:
- Data Modeling
- Documenting the API
- Marketing: blogging on Consumer Notebook, Tweeting, and working with other groups
- Trying out public tickets
- Iterating through the user experience by communicating to users
- All the boring legal and business stuff
What you don't see is anything about sys admin issues. That's because what could have been a huge sink in time and resources is pretty much gone. We deploy staging servers with a bit of code I copy/pasted from a bash history into a Fabric script:
from fabric.api import local commands = """ heroku create --stack cedar heroku addons:add memcache heroku config:add S3_KEY=HAHAHAHAHAHA S3_SECRET=NOTGIVINGITOUT heroku addons:add redistogo heroku addons:add sendgrid:starter heroku addons:add mongolab:starter heroku addons:add sentry:test heroku addons:add pgbackups heroku addons:add custom_domains:basic heroku addons:add zerigo_dns:basic heroku domains:add staging.consumernotebook.com heroku addons:add ssl:piggyback git push heroku master heroku scale web=1 heroku addons:add heroku-PostgreSQL:ronin heroku pg:wait """ def build_staging(): for command in commands.strip().split('\n'): local(command)
How awesome is that?
How much does Heroku really cost?
You can do Heroku for free. A lot of people do. More power to them.
But let's face it, beyond a certain point, every PaaS, including Heroku, is going to be more expensive then getting your own EC2, Rackspace, Dreamhost, or Linode hosted server. For a fraction of the cost, you can provision a server, install all the bits, configure the database, http server, load balancers, and even write Chef/Puppet/Fabric scripts so you can do it repeatedly at scale. Cheap!
So why pay more for Heroku? Why not just do it ourselves? For example, right now we're on dedicated PostgreSQL hosting which Heroku charges us $200/month. That's a lot, right?
Right now we're seeing a 50% increase in visits every day. So if we ran our own servers, Chef/Puppet/Fabric or not, odds are we would be spending at least 10 hours a month doing server work. And I can assure you that when we consult that we make more than $20/hour.
$200 < 10 hours of us doing consulting work to bootstrap the project.
Until you hit a certain point, these days the real cost of servers is labor. If you're a developer or small effort, and you think going with a cheap hosting provider is the way to go, think again. Think about the hours you're losing monkeying around with servers and databases instead of getting code done.
Heroku saves us money.
One of the problems Django and other Python web frameworks has had is the difficulty of deployment. I can't tell you how many projects I didn't do because of the thought of handling the sys admin side of things. Let's face it, one of the great ongoing successes for PHP is that deploying the majority of sites is trivial.
With the rise of devops we've seen a lot of developers across languages and frameworks dive into Chef and Puppet. It's been sadly amusing watching people muck around with these great tools to make the deployment of 1-2 servers 'easier', when the real benefit of those tools has been to do things at scale. Things like deployments of fifty servers at once or deployment abstractions for hundreds of people (my fancy talk for PaaS).
In any case, things have changed. Deploying Python web apps is as trivial as deploying PHP code.
For developers I see great times ahead.