Containerization is a relatively new concept that has become extremely popular recently. This concept is one of the hottest topics in the field of Computer Science and it’s right to be so. Containerization has the potential to radically change the way development teams handle their projects.
So, let’s take on the basics first. What exactly is containerization? To answer this, you need to define what a virtual machine is first. A virtual machine is an operating system that’s installed on a computer that can mimic dedicated hardware. Basically, the end user would have the same experience as he would when using an actual computer.
The virtual machine was brought into being to address the problem where computers were being under-utilized for fear that running multiple servers on a single computer would mean that these servers would start to pull resources from each other. With a virtual machine, these multiple processes could run simultaneously without having a tug-of-war with each other for resources, because these processes are running in different spaces.
So, to illustrate, if a single server would cost $10k to run, and you need to run at least two servers, you would need to purchase another computer. The problem here is that it’s likely that you’ll only be using 40% of the computer’s power to run a single server.
With a virtual machine, you could potentially run two servers on a single computer (and the computer would be fully utilized) without having to fear of any resources being pulled from either server. So, VMs ensure that each computer is able to function at maximum capacity efficiently.
In 2014, Solomon Hykes disrupted the realm of tech when he released Docker 1.0. This is one of the most popular containers and, like virtual machines, they are capable of creating virtual partitions. The difference here is that containers are capable of running on shared operating systems, rather than having to create a new one for each instance.
This means that you could have several containers running on a single instance of Windows. This results in a more efficient allocation of resources versus VMs and hypervisors.
Now, Docker does exactly that. It allows developers to run any application as a lightweight package in a self-sustaining container. And not only that, but this application can literally run anywhere because it’s so lightweight — this makes the application easy to pack and to share. It also means that because containers are self-sufficient, it then becomes easy to roll back to a previous version should anything go wrong.
This also allows developers to test their software in a truly standardized and controlled environment, thus granting them more accurate test results.
So, to summarize, Docker allows developers to run multiple programs on the same hardware more efficiently than other systems of the same type. It also allows developers to pack and share these programs because they’re so portable, and that they’re also easy to roll back, should anything go wrong.
With all these advantages, it’s easy to see why Docker and containerization are so hyped up. However, as with all new things, these come with a learning curve. So, if you’re truly interested in adapting this concept, then it’d be a good idea to opt for Docker training.