As a team, we were working on an important application and had a deadline to meet. However, one of our team members experienced a setback when their computer crashed and failed to start. As a result, we had to reinstall and set up everything on another machine, which took almost 10 hours.
Unfortunately, after a few hours of work on the new machine, it also crashed, which was a major setback for us. It was clear that we couldn't afford to waste more time on these repetitive tasks for new machines.
To overcome this issue, we decided to find a permanent solution. We brainstormed and came up with a plan to create a virtual machine in docker that contained all the necessary installations, configurations, and software required for the project. This virtual machine would be easily replicable and could be used by any team member, regardless of their personal machine setup.
After a few days of hard work, we successfully created the virtual machine, which was a game-changer for our team. The process of setting up new machines for our project was now simplified and streamlined, saving us countless hours of work and preventing any more setbacks caused by crashes or system failures.
In conclusion, the setback we faced due to the machine crashes ended up being a valuable lesson for us. It taught us the importance of being proactive and finding solutions to potential problems. Our new virtual machine solution not only saved us time and effort but also improved our overall workflow and productivity.
With Docker, you can easily create a container image that contains everything you need to run your
application, including the application server, frameworks, operating systems, and any necessary
dependencies.
To get started with Docker, all you need to do is download the required image from hub.docker.com. Docker Hub is a repository of images
that you can use as a base for your own custom images. Once you have your image, you can run it with little
to no configuration, making it easy to get up and running quickly.
In our case, we downloaded a Docker image for an operating system and then installed all the necessary tools and dependencies. We then committed these changes to a custom Docker image. Now, every time we need to set up a new computer, we simply install the Docker tool and run our custom image, and we're ready to use our application. This makes it easy to ensure consistency and portability across multiple environments, as our application will always run the same way no matter where it is deployed.
Docker is not just for developers; it's also a lifesaver for DevOps teams. With Docker, you can create a virtual runtime environment that is decoupled from the host operating system. This means that your application is guaranteed to run on any production server, regardless of the underlying operating system or hardware. Docker's portability and ability to streamline deployment make it an essential tool for building, shipping, and running applications in today's fast-paced digital landscape.
The advantage of Docker is to build the package and run the application in sandbox environment said Container. The docker container system utilizes the operating system virtualization to use and combine the components of an application system which support every standard Linux machine. The isolation and security factors allow us to execute many containers parallel on a given system. Containers are lightweight in size because they don’t need the extra resource of a HyperV or VMware, but run directly within the machine kernel. We can even run Docker containers within machines that are actually virtual/hyper machines. Docker uses a client-server based architecture model. The Docker client communicates with the Docker daemon, which does process the lifting of the building, running, and distributing Docker containers. We can connect a Docker client to another remote Docker daemon. The Docker client and daemon communicate using of REST API and network interface.
