Removing Deployment Friction With Push-To-Deploy

appengineAt work we use CloudFoundry as our PaaS, but I also like to keep informed about what other platforms do.

Google AppEngine Introduces Push-To-Deploy

Google AppEngine recently added an interesting feature: Push-to-Deploy through Git.

With Push-To-Deploy, you can simply push your code to a Git repository to get your code deployed on AppEngine.

This Git repository is maintained by Google and tied to your cloud account. I guess this is implemented using the post-receive Git server hook.

Push-To-Deploy Removes Friction

What I like about this feature is that it removes some friction from the deployment process: you no longer need to know about how to deploy your application on AppEngine.

Push-To-Deploy inches us closer to a Frictionless Development Environment (FDE). The two most likely candidates to become the FDE of choice both support Git, so it’s easy to use Push-To-Deploy in both Orion and Cloud9.

More Friction Remains

LubricationOf course, this is only a small step and a lot more work needs to be done before we really have an FDE.

In my ideal world, for any change that I make the FDE would automatically run the tests and code checkers in the background and, when successful, push the changes to a development branch to make them available for my co-workers.

To make this efficient, only tests that could potentially have been impacted by the changes would run, and they would run in parallel in the cloud. When specified criteria are matched, changes on the development branch would propagate to master and, using Push-To-Deploy, to production.

Although this is all far far away, every step is to be applauded, and I hope other PaaS providers will follow Google’s example.

What Do You Think?

Do you use Google AppEngine? Git? Would you use Push-To-Deploy? Would you like to see a similar feature in CloudFoundry or another PaaS?

Please leave a comment.


Adventures in JavaScript: Getting Started

Node.jsOne of the high potentials for a Frictionless Development Environment (FDE) is Cloud9.

It is one of a growing number of web applications that uses JavaScript as the programming language for both front-end and back-end. The latter brought to you by Node.js.

So I thought it was time to start playing around with JavaScript and Node. Here is an account of my very first adventure into this Brave New World.

Preparations: Adding JavaScript Support to Eclipse

To keep the number of changes low, I wanted to keep my trusted old Eclipse. So the first step was to install Nodeclipse and jshint-eclipse.

To support documentation in the Markdown format that Node uses, I installed the Markdown Editor plugin for Eclipse.

This left me with nothing for unit tests. So I installed the JavaScript tools from Eclipse. That gave me some JS support, but nothing for creating unit tests.

Some googling told me there is such a thing as JsUnit, the JS port of my beloved JUnit. Unfortunately it doesn’t seem to come with Eclipse support, even though this thread indicates it does (or did).

JsTestDriverMaybe I’m just doing it wrong. I’d appreciate any hints in the comments.

Some more googling informed me that Orion is using JsTestDriver.

This introduction to JsTestDriver explains in detail how it works.

First Exercise: Roman Numerals

Now that I’m all set up, it’s time to do a little exercise to get my feet wet. For this I picked the Roman Numerals kata.

I started out by following this JsTestDriver example. I created a new JavaScript project in Eclipse, added src/main/js and src/test/js folders, and created the JsTestDriver configuration file:

server: http://localhost:9876

  - src/main/js/*.js
  - src/test/js/*.js

Next, I opened the JsTestDriver window using Window|Show View|Other|JavaScript|JsTestDriver and started the JsTestDriver server. I then opened the client in FireFox at

The next step was to create a new run configuration: Run|Run Configurations|JsTestDriver Test. I selected the project and the JsTestDriver configuration within the project, and checked Run on Every Save.

Now everything is set up to start the TDD cycle. First a test:

RomanNumeralsTest = TestCase("RomanNumeralsTest");

    = function() {
  var romanNumerals = new TestApp.RomanNumerals();

  assertEquals("i", romanNumerals.arabicToRoman(1));

And then the implementation:

TestApp = { };

TestApp.RomanNumerals = function() { };

    = function (arabic) {
  return null;

I completed the rest of the kata as usual.


The cool thing about JsTestDriver is that it automatically runs all the tests every time you change something. This shortens the feedback cycle and keeps you in the flow. For Java, InfiniTest does the same.

The problem with my current tool chain is that support for renaming is extremely limited. I got Operation unavailable on the current selection. Select a JavaScript project, source folder, resource, or a JavaScript file, or a non-readonly type, var, function, parameter, local variable, or type variable.

Other refactorings do exist, like Extract Local Variable and Extract Method, but they mess up the formatting. They also give errors, but then work when trying again.

All in all I feel satisfied with the first steps I’ve taken on this journey. I’m a little worried about the stability of the tools. I also realize I have a more to learn about JavaScript prototypes.

Likely Candidates for Frictionless Development Environments

Last time I reviewed the book on Consumption Economics, which explains how technology companies and their products will have to change to survive the brave new world that we’re entering.

So what would we find if we take the lessons from the book and apply them to our own software development environment? I think the answer would be surprisingly close to what I’ve called a Frictionless Development Environment (FDE) before.

To be honest, I’ve only started thinking more systematically about FDEs after reading Consumption Economics. In Five Essential Components of a Frictionless Development Environment, I’ve laid out the major building blocks of an FDE: cloud computing, big data analytics, recommendation engines, plug-in architecture, and open source.

It may be to soon to expect existing solutions to have all of those, but let’s see where we stand. There are already some cloud development environments. Most of these are geared towards web developers, and offer limited languages (mostly JavaScript). Some offer a big enough range to be interesting to a wide range of developers.

Big data analytics and recommendation engines are big features that are probably not there yet, but could always be added later. What’s more important is to look for a plug-in architecture and particularly for open source. These are fundamental architectural and business decisions.

Using open source as a criterion reduces our list to Cloud9 and Orion. Both have a plug-in architecture. The latter is an Eclipse project, but the former seems more mature. Be sure to follow both Cloud9 and Orion.

So what do you think? Would any of these cloud IDEs work for you? What other open source cloud IDEs are out there?