As mentioned in part 1 and part 2 of this series on Ruby's EventMachine, Thin is where most folks encounter EventMachine for the first time, even if they do not realize it. EventMachine is at the core of Thin and allows for the high concurrency that Thin provides to your Rails application. In this post I will look at Thin's usage of EventMachine.
In this post I am going to demonstrate, step-by-step, a way to A/B test new features from within Ruby-On-Rails using FluidFeatures. FluidFeatures is currently in closed-beta and requires request for inclusion in the beta program. We are looking for enthusiastic A/B testers, so we can get feedback on the service before releasing it to the masses.
In this post I will look synchronous vs asynchronous programming with Ruby's EventMachine, to show that asynchronous does not always mean that your code will run faster. In part 1 of this series on Ruby's EventMachine I discussed the benefits of event-based programming in general. I am a big fan of event-based programming, as you will see in these posts, but I wanted to flip the coin over and look at one of the down-sides of event-based programming.
In this first post, of a series on Ruby's EventMachine, I will introduce EventMachine and explain why event-based programming is good for your wallet. EventMachine, which just turned 1.0.0 this week, is more than just a gem, it is a new paradigm for many Ruby programmers and is not always easy to just drop into your existing stack. As the name suggests, it gives you event-based programming.
In this blog post I am going to introduce a new service for Ruby On Rails developers called FluidFeatures that helps you manage rolling out new features to your site and provides a way to easily do A/B testing (competing versions of a feature) right in the belly of your code.
Recently, we hit a problem with Ruby's exit command. If something went horribly wrong and it made no sense for our application to continue in its current state then we would abort with exit 1. We use supervisord to manage processes, so in this case when we exited with exit status of 1, supervisord would assume something went wrong and restart the process for us. Or at least that is what we thought...
In this post I will walk you through how to setup your own gitolite server and start hosting your own git repositories. Gitolite is a great tool for doing this and works in a very git-like way for managing users, access-rights and setting up new repositories for collaboration between your team. A common reason to setup Gitolite is to remove reliance on services like GitHub.
Remember, Startup Weekend equates to about 21 hours of development time and that includes brainstorming, planning, talking to mentors, other meetings, eating and a bit of fun. Also, skill-sets between developers do not always line up. The key phrase is “ship it!” whether it is good, bad, ugly or broken. The clock is ticking.
In this blog post I'll go through an example, in repeatable steps, of how to get up and running with the Tornado chat demo on ActiveState's public sandbox for Stackato. ActiveState's Stackato PaaS (Platform-as-a-Service) is based on VMware's open-source PaaS, Cloud Foundry, and offers an enterprise PaaS solution that will run on any public cloud, private cloud, laptop or desktop.
Geohashing is a simple way to encode latitude and longitude and grouping nearby points on the globe with varying resolutions. It was created by Gustavo Niemeyer. This blog post looks at how it's implemented any why it is such an elegant solution for encoding and managing location-based data.
Last week I attended a presentation by James Golick, CTO of fetlife.com. Intriguingly advertised as Scaling a Website to 300 Million Page Views Per Month with
In this post I will look at the technology infrastructure behind Summify.com, a website that strives to make our lives easier and helps us deal with the information overload we all experience every time we sit down at our computers. Summify has aggregated over 200 million stories from the web and serves them up on-demand through a series of different mediums. The website uses Tornado to push real-time updates out to the users and they have developed over a dozen backend systems, some of which I will cover in this blog post.
In this blog-post Bradford Stephens, Drawn To Scale's founder, answers a series of technical, business and personal questions to give an overview of what Drawn To Scale is and where it is going. Who are the founders? What is their background, technology and business model? How were they going to manage other people's big data? Can one tool fit the demands from a broad range of data challenges that different businesses are seeing?
In this blog post I will delve into the snippets of information available on Quora and look at Quora from a technical perspective. What technical decisions have they made? What does their architecture look like? What languages and frameworks do they use? How do they make that search bar respond so quickly?