In this tutorial, I’m going to demonstrate how to get Docker up and running quickly and how to simplify Docker management with the Web-Based graphical management tool, Portainer. Portainer - The easy way to manage Docker
There are still a lot of Developers and IT Professionals that have no experience with Docker. My personal experience is they think Docker is complex and challenging to manage.
In this tutorial, I’m going to demonstrate how to get Docker up and running quickly and how to simplify Docker management with the Web-Based graphical management tool, Portainer.
Before we start, a quick overview of the difference between Docker and Virtual Machines might be helpful. If your already familiar with Docker just skip this section.
A Virtual Machine (VM) is an encapsulated operating system, running on top of another operating system. The VM uses the memory, processor and disk resources of the underlying hardware. The critical point here is that the Operating System running in the VM requires a substantial amount of the host machines resources to run. On a typical 16GB, i5 machine, you would struggle to run five virtual machines simultaneously. Even if they were not running any applications, you would quickly see a significant degradation in the performance of the underlying operating system and the VM’s start to freeze.
Docker containers, on the other hand, make use of the hardware resource through the underlying Operating System almost as though they were an installed application (That is a very simplistic description). The images used to build a Docker container are very small in comparison to a VM, often only a 40 or 50 MB. Since there is not a full operating system to maintain inside a Docker container, memory and processor resource usage is typically very low. I often have 20+ containers running on my 16GB Mac Book Pro. That would be impossible using VM’s.
By default, we manage Docker through the command line. Portainer provides an excellent and highly informative user interface for managing all aspects of Docker. It charts, and dashboards provide realtime charts of container resource usage. Starting and managing containers and stacks can be done with a few mouse clicks.
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At some point we've all said the words, "But it works on my machine." It usually happens during testing or when you're trying to get a new project set up. Sometimes it happens when you pull down changes from an updated branch.
The docker manifest command does not work independently to perform any action. In order to work with the docker manifest or manifest list, we use sub-commands along with it. This manifest sub-command can enable us to interact with the image manifests. Furthermore, it also gives information about the OS and the architecture, that a particular image was built for. The image manifest provides a configuration and a set of layers for a container image. This is an experimenta
Following the second video about Docker basics, in this video, I explain Docker architecture and explain the different building blocks of the docker engine; docker client, API, Docker Daemon. I also explain what a docker registry is and I finish the video with a demo explaining and illustrating how to use Docker hub.
DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.