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As developers, we’re always looking for a shortcut or an easier way to hit the ground running, right? If you’re a team lead, getting your team on the same page, set up, and operating with minimal effort and pain is important. Docker can help. In the realm of software development, there has always been a growing emphasis on modularization, from general principles such as single-responsibility to more concrete implementations such modularizing javascript functionality into stateless components. Here, I’ll show you how we can use Docker to modularize our development environment for a number of similar benefits, including helping us hit the ground running.
Docker 4 Developers As you know, to get ramped up on a project, you have a checklist of to-dos:. Pull the code base from the repository. Install external tools such as the database(s), caching store, additional tools, and services.
I'm still using Docker Toolbox on Mac. Posted on 2016.11.26. TL;DR summary. If you are using Docker Toolbox then you may have noticed that data volumes mapped to local directories on the Mac (using the -v option of the docker run command) do not see changes made to the local files. Docker on Mac Performance: Docker Machine vs Docker for Mac. Michael Schmid Blocked Unblock Follow Following. It is essentially a set of CLI tools that start a boot2docker virtual machine inside a provided hypervisor (like VirtualBox, Parallels, and VMWare). File system mounts are either provided via the hypervisor itself or (as the.
Patch and update said external tools. Configure databases and services for cross-application communication. Cross fingers and pray (times may vary). Debug (reboot at least 3x). Imagine if after pulling your application’s code base out of repository, you only had to run a few command lines (possibly as few as one) to get your entire application’s environment ready to go. Sounds cool, right? That’s exactly what we’re out to accomplish.
Instead of an encyclopedic approach to laying out all the features and commands of using Docker, I’ll cover the main features as we go through using Docker to containerize a developer’s environment. This post is the first in a series on leveraging the power of containerization using Docker to easily build an applications development environment that can be shared and up and running in no time. Docker Toolbox vs. Docker for X Docker Toolbox was the original collection of tools available for working with a number of Docker resources and will vary depending on your OS of choice. But since then, they have released new Windows and Mac native applications. So in addition to the Linux, OS X and Windows Docker Toolbox variations, you will also see “Docker for Mac” and “Docker for Windows”.
![Docker for mac kubernetes Docker for mac kubernetes](/uploads/1/2/5/6/125624155/216376292.png)
To understand and decide which tool you should use, I wanted to outline the premise for the new native applications. The original Docker Toolbox would set up a number of tools along with the use of. It would also provision a virtual machine running on the Linux Hypervisor for either Windows or Mac.
VirtualBox, Hyper-V, and Hyperkit, O My! The native applications, such as in the case of Docker for Mac, install an actual native OS X application.
It also no longer uses VirtualBox but the OS X hypervisor hyperkit. Furthermore, shared interfaces and network is managed much simpler. There are also some user experience updates to the tooling used to work with Docker as well.
These same changes are also apparent in the Docker for Windows native application, utilizing the Hyper-V hypervisor instead, along with the host of other similar network and tooling updates. In the end, the experience is supposed to be a more positive, efficient experience as well as less error-prone.
However, you will find a vast majority of external documentation related to the Toolbox – so it could be to your advantage to know about Toolbox. Getting Started This initial tutorial will simply use an out-of-the-box express.js application. When we get to live editing of source code and communicating between containers, I’ll move onto a more involved, universal React.js application running Webpack’s dev-server with hot module reloading, a MongoDB database and more. Step 1: Installation In an effort to get to the goodies of using Docker and containerizing a developer environment along with a slew of various OS versions, I’ll leave it to you to download whichever Docker version (Toolbox or native) and OS you want to use:. Toolbox: (OS X and Windows). Docker for Windows:.
Docker for Mac: TOOLBOX USERS: Docker Toolbox comes with a “Docker Quickstart Terminal” and is linked to the Docker environment when ran. However, it’s common to run a terminal separately OR within your IDE of choice. In order to interact with Docker from another terminal/prompt, you’ll need to initialize the Docker env by running “docker-machine env”. At the end of the displayed text is a command you will need to copy/paste from within that same terminal/prompt to initialize the Docker environment. Step 2: Source Code/Environment The next step is to obtain the source code of the development application you want to containerize. For now, you can grab this from GitHub that I’m using in this part of the tutorial to save a few steps.
Step 3: Creating a Docker Image File Remember, the primary goal is to run our application in an isolated and modularized environment. In order to have Docker create that environment, we have to tell it how to create it.
We do that with a set of instructions using a. Using your IDE of choice, add a file and name it “ Dockerfile” to the project root:. Copy in the below file contents IMPORTANT: This Docker image file will allow us to create an image which will represent that containerized environment we’ve been talking about, and eventually create running instances of that image called containers. But we’re jumping ahead, more on this in Step 5.
![Docker Docker](/uploads/1/2/5/6/125624155/892025922.jpg)
Dockerfile FROM mhart/alpine-node:6.9.2 WORKDIR /var/app COPY. /var/app RUN npm install -production EXPOSE 3000 ENV NODEENV=production CMD 'node', 'bin/www” Dockerfile is the default name that Docker looks for in an image file, but it can be any name, which we’ll see in a later step. These instructions inform Docker that we want to create an image:. a base image with the tag of 6.9.2.