If you work in the tech industry, coding bootcamps are something you have probably heard of, possibly attended, or know someone that graduated from one. For those of you who are unfamiliar with the term, the industry of coding bootcamps is fairly new, with the first ones starting around 2011-2012. In the short time they have been around, these alternative education programs have gained significant popularity, making their presence known in the tech world.
In a previous blog post, I covered the “textbook” definition of continuous integration, along with a handful of tools and practices that fulfill or help to fulfill said definition. These tools and practices include breaking up your app into components (e.g. front-end and back-end, or, for much larger projects, using microservices), utilizing “watch” utilities locally to iteratively run tests, and choosing test-oriented frameworks (e.g. Rails, Django, Grails, etc.). However, I didn’t talk much about any specific continuous integration setup, nor some of the third-party services that go together to make an efficient release process. I also didn’t talk much about how continuous integration fits into the larger cycle of deployment and release management. I aim to cover some of those topics here, and fill in the larger picture of how CI helps to ensure code quality and stability in a software project.
In growing companies, as software systems become complex and extensively engineered, maintenance can be a challenging problem. Moreover, when high profile bugs arise and/or a lack of system availability arises, it can have disruptive consequences on a business. Hence there is little room for mistakes in these crucial systems.
Howdy, lazy bum! Enjoying the ReactiveX magic? Want to take a look at polling?
I’ll be walking you through a solution I put together for one of our up and coming apps! It works rather well, I learned a lot, and so far no complaints…although there are no users yet either!
Feeling quite charitable, I’m going to let you in on some useful bits and pieces as we build up to polling: threading, late subscribing, replay, manual re-triggering and error handling (a must for preserving replays).
A common way to describe requirements on Agile projects is through the use of user story mapping, and, as a result, user stories. This post will not cover this process, but rather the process of taking an existing set of user stories and leveraging them within our development workflow to ensure that an application is built as accurately and efficiently as possible. To this effect, we will set up tools (Rails, RSpec, Capybara, FactoryGirl, and Guard, to be precise) for implementing our app using behavior-driven development. Structuring our app in this way gives us much better odds of producing robust, low-defect code that delivers on the requirements we set out to build.
In case you haven’t yet heard of it yet, Elixir is a functional programming language (technically, a collection of macros) written in Erlang. I have been persuaded to add it to my (and, consequently, Grio’s) technical repertoire due to a good amount of recent buzz in the blogosphere (as well as some points I’ll get to later). To make sure I have a strong foundation for my Elixir learning experience, I am starting my adventure with a foray into the underlying syntax of Erlang.
Grio Design is showing some blog love this week! We’ve been busy making clients happy by solving wicked design problems and producing beautiful interfaces, but I wanted to take some time to talk about user experience design (UX), usability, and how UserTesting can help everyone reap the benefits of usability testing.
Continuous Integration at Grio
In the same way that testing code is more and more becoming table stakes for modern software projects, continuous integration is increasingly becoming standard on projects of any non-trivial degree of complexity. Here at Grio, we leverage continuous integration whenever possible, in order to eliminate time spent performing routine deployments and tracking down integration issues.
As science and software advances, we have the ability to fuse the two together to discover and treat diseases in the hopes of prolonging life. Tasks like sequencing the human genome, isolating genetic markers, and handling large amounts of data are now all possible through a scientific field called Bioinformatics – the study and process of biological data through software, engineering, and mathematics.