Back in the day when I wrote in C and we used X11 with Motif, I was creating a new module based on an existing one, so I just copied and pasted the file from one xterm to another:
For any sufficiently large application, you want to minimize interruptions to service while deploying new code. This is especially challenging for migrations on Heroku and other Platforms-as-a-Service, where you have a Catch-22 problem; you want to run your migrations, first, but you can’t run them until you’ve deployed the migrations to production. Usually, at this point, your new migration-dependent features are in the deploy, too. So when your application restarts, and the migration hasn’t run, yet, your poor application will trip some exceptions, and perhaps, create problems to your users. Of course, you can put the app into maintenance mode, but that creates more downtime for your users.
I want to tell you a scary-as-shit story, mostly so that my friends that have CCW permits might read it and not get killed by good intentions, because I love you all.
Timecop is a great addition to your testing toolbox, but if you’ve ever tried to use Timecop to interact with a database, and then got the most mysterious of existential errors:
Once a week, we run a query on our production system that takes a very long time to complete. Invariably, it times out because the default settings on Heroku are (quite reasonably) for web / API interactions; anything longer than 30 seconds is too long and the connection should be closed to let other requests through. How do you get around this, then? You could set up your
database.yml file so that you connect to your production database from a developer workstation. This is actually quite useful, but opens up a hellacious security hole. Let’s not get started about the consequences of accidentally running
rake db:drop:all! Moreover, you want your system to be automated as much as possible, and that means running your tasks on a Heroku instance. Fortunately, with a little hackery, you can modify the connection timeout settings within your application. Do this carefully, and make sure that it can not leak into your running web application dynos.
On my current project, we're using RabbitMQ. It's a bit of infrastructure that has to be present, and if it isn't, our integration tests will fail with mysterious error messages. We want our tests to be informative, so let's write a test that asserts that we have the requisite infrastructure in place.
If you've written enough integration tests (with Capybara et al.), you must have noticed how much time your tests spend just logging into your web app. Even if it takes 1 second each time, it starts to add up. Here's a solution that I've written several times, now. I create a test "jig" that allows me to authenticate into my application with a single
A few weeks ago, some of the managers got together for drinks after work. I started to reminisce about an old employer who had, what I thought, was an incredibly unique and reasonable way to handle the “vacation liability” problem. The old firm was a consulting firm, mostly military contracts, in the DC area. We were paid for every hour we billed, and we accrued vacation hours for every hour we were paid. It created an environment where the top performers could rack up so much vacation that they could not use it all. Many companies handle this with the familiar “use it or lose it” policy, which caps the accrued vacation hours to some limit. Instead, the firm let vacation accrue forever, with one modification: When you got a raise, your vacation hours were reduced by exactly the same percentage.
It is a time-honored tradition for Pivots to blog about their first few months at Pivotal. A typical day at Pivotal is strong work. It’s different from any previous job. It’s exhausting. After six weeks or so, however, the Pivots find their rhythm. I’m not going to write any more about that. I’ll include some links, below, so you can read them for yourself. I’m here to write about the two-years-later; When most developers are itching to move on to the next big thing. I’m still happily learning new stuff every day.