Docker and containers are causing something of a stir in the Linux ALM DEVOPS world. A bit of a revolution is taking place.
Microsoft has been quick to respond by announcing that it will include Docker capabilities in the next release of Windows Server.
So what is this revolution all about? In a word… “containers” and I think there is going to be a positive impact on DEVOPS costs.
Docker containers are similar to VMs but the difference is they do not contain an OS kernel and make good use of a union file system. The result is that containers are layered and have a very small footprint. They “boot” quickly; in seconds rather than what can be many minutes (or longer) for VMs.
Docker is a toolset and a cloud service repository that can be used to collect an application and all its dependencies together into a container for deployment onto host machines. A development team and individual developers can benefit through the use of previously constructed and quality controlled base images pulled from a repository. A base image could be the single fixed foundation upon which all development would create higher level images. If the application in the container works on a developer desktop; it will work everywhere. How often do you hear that?
A developer working on an App can use Docker to create a container for the App from a base image and all its dependencies which can then be shipped as a runnable unit. The definition of what to put in the container can be defined in a Dockerfile
A container is portable and has everything to run the application on any host that has a Docker Engine. By default a container runs isolated from the other containers on a host. By pulling a container image from a repository an app can be quickly used in the development process or distributed to many hosts and run. Tools such as Chef could be used to manage Docker hosts as nodes. Also worth considering would be Microsoft Release Management; in particular if there was already an investment in TFS. I think that a complete CI/CD process to work with Docker would be an essential ingredient to success.
Speed to market by bringing live or customer application stacks back to the developer desktop. Achieving repeatable application consistency by containerization. Getting faster testing by being very fast to set up and run. It is also quite possible to envisage cost savings where multiple VMs with different versions or flavours of applications for testing are replaced by a single VM running multiple containers with different versions.
There are also going to be cost savings around the boot times of VMs versus the boot times of containers. Time is money; particularly in the cloud. A shipping container analogy is reasonable. Shipping containers conform to a single template; the size is defined, the attachment points are exactly the same and the weight of the contents can be constrained. Containerization has dramatically reduced products and materials shipping time. Not so long ago a ship’s cargo of boxes and bags of all sorts had to be handled one at a time onto the next mode of transport or into a warehouse. The analogy does not end there; a container can be sealed and in this way be known to conform to a particular shipping manifest. Although the generation and management of a “manifest” will most likely require more than a Dockerfile.
Development Teams are busy writing code that gets built into lots of applications that need testing and releasing. Applications depend on other applications and perhaps on third party applications; an application stack.
From any single developer’s desktop via testing labs to live machines or customers machines there is a need to repeatedly bring together appropriate dependencies as a working stack; so that a known quality in the context of those dependencies can be proven prior to final shipment.
Bringing together dependencies and ensuring that prerequisites are installed has evolved somewhat from manual installation and configuration using an often incomplete document through to today’s improved toolsets and processes that can offer a fully automated capability and do repeat runs. But even with that improved capability there can be issues.
In order to ensure a clean start before testing applications, machines are sometimes created from the ground up. Creating an entire machine even when it is a VM and is fully automated takes time. VM base images are large and cumbersome. The process of spinning up a machine involves amongst other things booting up an OS. In order to save time and money applications are often installed onto an existing up and running machine. This may even be required; to allow the emulation of what may or may not happen when that application is installed on live machines or is installed by customers.
When applications are installed or re-installed onto existing machines over and over again it is possible for there to be conflict in the dependencies shared between applications. This conflict needs to be identified and resolved which can take time and necessitate heroic efforts on the part of DEVOPS teams. It is also possible that un-install will not be a tidy and complete operation. Sometimes the install is a manual process that may involve copying files or configuring. The problem is that conflict can happen over and over on different hosts and in different ways when an application and its stack of dependencies is not fixed.
Below is a schematic typical of a machine representing some loose un-fixed applications and an OS.
Docker gives us a way of containing and “fixing” the complete stack required for any particular application; including the base operating system files, the file system and the application itself. Putting a Docker container onto a Docker host machine or removing a container from a host is as clean as the shipping container analogy suggests; it’s either all there or it’s gone.
Docker, Inc. provide the tools to set up and manage the full lifecycle of a container and its construction from a Docker image. In a typical scenario the contained applications will have dependencies on one another and there may be some contained configuration of those applications.
The un-fixed apps from the schematic above could be put into containers as follows:
Containers are sealed units. However access can be provided via various routes, one of which involves the use of ports. Docker provides functionality for mapping of ports used by applications across container walls. For example perhaps an Apache web server application is running as the Web Server (WS) inside container 1. If the container port 8080 is mapped to a host port the application is exposed via the Host Machine URL; shown in the diagram below.
Docker, Inc. recognised an opportunity to pull together a few threads at the right time and have put together an IT offering that is more than a set of commands to create containers; it is a fully loaded end to end container service. Docker, Inc. provides a set of tools to support image creation and a cloud based repository service for storing images; below is a simple lifecycle example showing how files can be pulled from any suitable source control system (In this case TFS) to build an image based on a Dockerfile and then run as a container. So in the example below if the developer decides test1 app works ok on his desktop the container can then be committed as a new image with a label and pushed into the Docker Hub cloud based repository for further distribution onto other hosts.
Docker is new; currently at version 1.4 and the Docker Engine is currently only available for Linux.
Microsoft has a partnership with Docker and has announced its intention to incorporate Docker Engine capability into their latest Windows Server operating system; I expect this capability may prove significant to Microsoft stack development teams, Testers and Windows DEVOPS teams.
Microsoft have pushed an ASP.NET 5 image into the Docker cloud repository.
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