In order to extend our skills a bit further, we are going to Dockerise JIRA, and extend it by pre-populating it with some data. The Docker machine that comes with the installation will create and attach a very lightweight linux VM loaded with Docker engine. Docker CLI client for running Docker engineīut why do we then need VM virtualBox if, as we have shown from the architecture in the last chapter, we don’t need a guess OS to run Docker? This is because the Docker engine daemon uses linux-specific kernel features, which means we can’t use OSX to run the engine.The installation comes with the following items: Installing Docker is quiet straightforward through a. In a similar way, we can add another container loaded with any kind of software we need and share it around. The other is a Debian machine loaded with emacs and Apache. One container is a lightweight BusyBox OS with nothing much on it. This shows that on this OS kernel, we have two containers running isolated from each other. Speaking of kernels, the below diagram gives a clearer picture of where we focus on the kernel, and the containers running on it. This engine is a lightweight runtime that utilises the Linux kernel to start containers which run on an isolated process. The Docker solution, on the other-hand, shrinks or collapse the hypervisor and guess OS layer into what is called the Docker engine. As you can imagine, this can be resource-intensive, as each OS can be heavy and take up computing resources. As you can readily see, the major difference is that VM has an additional hypervisor layer a monitor that allows you to install and manage a farm of guess OSes. The corresponding image on the right shows the typical architecture of Docker. The image on the left depicts a particular scenario of installing VMs on top of the host machine, which in turn has a layer to install the guess OSes. As it is said, a picture is worth thousand words: Other orchestration services are Kubernetes, Docker Swam, Deis, Tumtum, Mesos and host of others.Īll the above serves to show that mastering Docker is well worth it – and that it will be here to stay for a long time! Docker: a high-level overviewįor us to understand Docker a little more, we will use the official pictures from its website to illustrate. AWS, for example, has devised a new ECS service allowing you to schedule the start of EC2 instances capable of deploying and running your Docker containers. Moreover, Laas and PaaS providers like AWS and DigitalOcean have started coming up with their own Docker orchestration services. Ever since, many CI vendors have embraced this technology more and have even secured funding to diversify their products. To the best of my knowledge, no other vendors were able to offer such a complete integration with Docker. Bamboo has a task that allows users to build an image, run a container and push and/or pull Docker images from a Docker registry. Atlassian was, proudly, among the first to embrace Docker. As you might have guessed, CI vendors tried to provide ways of deploying software directly to the Docker. The advent of Docker opened up a new fight in the continuous integration world. People can then search the hub for your images, pull them and run… I bet by now that sounds similar to git, except that we’re talking about images instead of source codes. Users are able to work locally to create an image, commit the image and push it to Dockerhub. It was well-designed to work in a similar fashion to git, based on client/server architecture. That was really fun.Īnother thing that made Docker so popular was its ease of use. I remember the first test I did was to start another lightweight Ubuntu instance from my machine which I could access and make configuration changes to. When the excitement about Docker was high, I decided to install and play around with it. This guarantees that it will always run the same, regardless of the environment it is running in. This is the official statement from the Docker website:ĭocker containers wrap up a piece of software in a complete filesystem that contains everything it needs to run: code, runtime, system tools, system libraries – anything you can install on a server. Users could now, with a single command, start up environments fully installed with the necessary software. What made it a real hotcake was how it allowed users to wrap their software and all its dependencies in a container which could be shared with anyone. It was the subject of discussion in most technical newsletters, user groups and forums. I remember how the news about Docker went viral on the net back in early 2013 when it was first released. In part one of the series, we show the creation of a JIRA container pre-populated with good data. This blog series will show how Docker, together with Atlassian products, can be used in organisations to reduce waste and ultimately increase productivity.
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