Many language-specific tools have been built to manage this complexity, including virtualenv for Python, rbenv for Ruby, and jenv for Java. Upgrading the operating system, botched package installs, conflicting dependencies, and the need to use multiple programming language runtimes remains a persistent source of frustration for developers. Less fragile developer environments with Docker containersĭeveloper workstations are fragile. Let’s put a simple Node.js application in a Docker container as an example.
LINUX DOCKER FOR MAC LOCALHOST EQUIVALENT WINDOWS
MacOS and Windows have traditionally not supported the Linux-based container technology that powers Docker, but the latest release of Docker for Mac and Windows now makes it easier to get started creating and running containers in those environments with less overhead. Fortunately, the new Docker for Mac beta offers an opportunity to create a more resilient local environment that better mirrors production.
Dev and ops teams often turn to virtual machines, pre-built images, and/or configuration management systems like Puppet and Chef to achieve better parity with Linux-based production environments and Mac or Windows development environments.Īll those approaches can help, but the problems can still persist. Even with sophisticated tooling, virtually unlimited computing capacity in the cloud, and advanced continuous integration workflows, the differences between developing applications locally and running them in production remains a persistent source of bugs and other problems. That is an excuse too often overheard in conversations between developers and operations teams.
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