![]() Let’s consider how Docker can simplify configuration requirements. And developers can no longer abdicate responsibility by saying “it works for me.” They can be left free and clean, avoiding dependency hell. Regardless of what you need, development machines no longer need to be polluted with all manner and type of library, package, or competing configuration. If you build a custom container, one not available already, consider uploading it so that others can use it as well. If your app requires more than that, determine what it needs and create a custom container setup that combines the necessary containers to support it. Moving further up the food chain, if you’re creating an app based on a framework, such as Zend Expressive for PHP, then grab a container configuration for that. If you’re creating a Go or a Python app, grab a Go or a Python container. If you’re creating a Ruby app, grab a Ruby container. Docker, via DockerHub, has a range of preconfigured Docker containers for all kinds of development needs. ![]() With Docker, this isn’t a concern anymore. This in turn results in the infamous “works for me” response. As a result, it becomes almost impossible to recreate that environment in a production setting - or anywhere else for that matter. This is especially the case when different projects require different versions of the same library, such as encryption, string, math, or SSL.ĭevelopment machines can also quickly become filled with numerous packages, sporting a range of configurations. While great for a few projects, this approach often leads to machines quickly becoming messy. Originally, there were (L,W,M)AMP stacks, where the developer’s machine contained all of the various development libraries and packages. If you’ve been developing for at least five years, you’ll be familiar with a range of different approaches for building development environments. Today, I’m going to look at five specific ways Docker can significantly reduce the startup time for new hires. However, Docker really is particularly adept at reducing the onboarding time for new developers. Of course, it’s easy to let yourself drink the KoolAidtm of new technology and believe that it can do anything and everything. Docker’s the new kid on the proverbial block in the DevOps space the latest in a long line of technologies aimed at making the transition from development to production environment as smooth as possible. But the one I find most compelling is Docker. These include shell scripts, WAMP, MAMP, and LAMP stacks, and virtual machines. How can new hires get up and running as quickly as possible?Īctually, a better question is: How can we get developers, regardless of whether they’re new to our organization or simply new to a project, up and running as quickly as possible?įor the purposes of this discussion, productivity can mean adding new features, fixing existing bugs, and/or being able to investigate the codebase using a working development installation.Ī number of technologies are available to answer these questions. How can time from sit-down to project familiarity be reduced to as small a window as possible? ![]() Given that, two key considerations for any efficient onboarding workflow are: The longer the time between being hired and being productive, the more expensive the investment - especially when talking about more experienced developers. Regardless of an organization’s size, onboarding new developers and getting them up to speed as quickly as possible remains a distinct challenge. The Jet CLI is used to locally debug and test builds for Codeship Pro, as well as to assist with several important tasks like encrypting secure credentials. Please be aware that the name “Jet” is only being used four our local development CLI tool. UPDATE: With January 1st, 2017 we rebranded our hosted CI Platform for Docker from “Jet” to what is now known as “Codeship Pro”.
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