Development Blog: Viget Labs

Tony Pitale, Web Developer, April 24, 2009 8

Since Google announced that they would be releasing an API for their de-facto analytics tools I was pained with the effort to contain my excitement. The results were a reporting tool and a new gem: Garb.

Continue reading "Introducing Garb: Access the Google Analytics Data Export API with Ruby"

Clinton R. Nixon, Development Director, September 24, 2008 4

I’ve been enthusiastic about the Scala programming language for a few months now, and this week’s been very exciting for the Scala community. A new Scala book from the Pragmatic Programmers was announced today, and Alex Payne from Twitter gave a presentation at C4 that strongly indicates Twitter’s writing part of their platform in Scala. Given this week’s news, I thought I’d explain why I’m using Scala, and what that means for the Lab.

Continue reading "Scala: The Adventure Begins!"

Mark Cornick, Web Developer, April 21, 2008 4

Rails application deployment has gotten a pretty bad rep. Legitimate Rails developers and blog trolls alike have bemoaned the lack of something equivalent to mod_php, which would make Rails applications "just work" when uploaded to a web server, as we got used to doing in the PHP days.

So Passenger made a big splash when it was released this month. It promises to make deployment "a breeze" and says "No Ruby on Rails-specific server configuration [will be] required!" Furthermore, the developers' own benchmarks show it being a little faster than Mongrel.

After a decade-plus in IT, I'm skeptical of hype and twice as skeptical of benchmarks. But even though I've mastered the sometimes-confusing realm of Apache and Mongrel, I'm curious to see just how easy it is to use, and just how fast.

Continue reading "Passenger: Let It Ride?"

Clinton R. Nixon, Development Director, April 16, 2008 3

I was incredibly excited to see the announcement of Google App Engine (GAE) recently. I can run web applications on Google’s grid, and have access to their authentication and back-end data store? Sign me right up!

Since it was announced, GAE has taken a lot of heat from pundits. For the most part, they are right, once you cut past the hyperbole. It is exceptionally limited: you cannot run spun-off processes on the server, there are no cron jobs, and the data store, BigTable, is not a relational database. It does threaten to lock in your application: if you use Google authentication, good luck migrating your users, and moving from BigTable to a relational database elsewhere would possibly be tough.

However, limitations can provoke creativity, and enhance applications built for that space. There are a lot of applications you can build without background processes, and if the end-game for your application is not to be bought, having Google’s authentication in place could vastly increase your user registration rate, as most users will not have to sign up for a new account. If you want to make a web application that does an interesting, simple task, GAE may be the best platform around once it gets out of beta.

From a development perspective, the fact that GAE only runs the Python programming language is definitely limiting. It is obvious why it was chosen: Guido van Rossum, the inventor of Python, works at Google, and they needed to limit the Python virtual machine to disable writing to the filesystem or other machine-specific tasks. Google’s announcement that they plan to support other languages, however, excites me. One of Google’s main languages is Java. The Java virtual machine (JVM) is a great piece of software; many languages have been ported to it including Ruby, our favorite here at Viget, and new languages have been written for it, such as Scala, one of my personal favorites. It is fairly trivial to use the JVM to sandbox these languages and limit their abilities to manipulate the machine as Google has done with Python. I expect to see JRuby supported soon, and a flood of languages thereafter. What this means for Rubyists is Google putting resources into developing JRuby, or even Rubinius, if they choose that route for a sandboxed Ruby.

The other exciting part about GAE to me is that they have a software development kit (SDK) to run GAE apps locally. This has already been ported to Amazon’s EC2, allowing you to run GAE apps there. BigTable, Google’s data store, is an interesting concept, and the development community has expressed interest lately in document databases, like CouchDB. With this SDK, we have been given a specification for the interface for BigTable. This is interesting: we may well see competing implementations of this non-relational database come out, allowing GAE apps to use any of them on non-Google machines. This can only result in innovation in database design, something which I have not seen a lot of in the last few years.

Clinton R. Nixon, Development Director, March 31, 2008 1

Ruby users are really lucky to have Rubygems. Outside of Perl’s CPAN, I can’t think of an easier distribution system for language-specific libraries. Creating gems for distribution, though, takes a little more knowledge. Creating them by hand is workable, but quickly becomes a chore.

Luckily, there are several tools to help you build your own gems. hoe and newgem are the best-known, and have a lot of good qualities. However, hoe adds itself as a dependency to your gem, and newgem has become a very large tool, one that I find unwieldy when I want to create and deploy a gem quickly.

My favorite tool is Mr Bones by Tim Pease. It’s lightweight, featureful, and does not add dependencies to your project. To create a project with it, you just run bones <my_project_name> on the command line, and a skeleton is built for you, complete with a lib directory for your code, a bin directory for your tools, and a test directory. The configuration is in a Rakefile, and it’s clear and concise. Here’s the configuration for my recent project, a Ruby client for the FriendFeed API:

load 'tasks/setup.rb'

ensure_in_path 'lib'
require 'friend-feed'

task :default => 'test'

PROJ.name = 'friend-feed'
PROJ.authors = 'Clinton R. Nixon'
PROJ.email = 'crnixon@gmail.com'
PROJ.url = 'friend-feed.rubyforge.org'
PROJ.rubyforge_name = 'friend-feed'
PROJ.dependencies = ['json']
PROJ.version = FriendFeed::VERSION
PROJ.exclude = %w(.git pkg)

Mr Bones has the standard set of features you’d expect: you can use it to package up gems and tarfiles of your library, as well as release it on RubyForge and deploy your documentation there. Its killer feature, though, is its ability to freeze its skeleton in your home directory. When you run bones --freeze, a directory named .mrbones is copied into your home directory. You can edit the files in there to make a skeleton for your gems that works the way you work, and from then on, when you run bones to create a new gem, it will use your personal gem skeleton. You can unfreeze Mr Bones by running bones --unfreeze and your skeleton will be backed up, and the default skeleton will be used again.

For a tool to create RubyGems that focuses on usability, I highly recommend Mr Bones. If you know of another tool we should check out, let us know in the comments!