The Advantages of Using Container-based Applications
Container technologies are replacing the traditional virtual server technologies because of its efficiency. Every application on a virtual server gets its own virtualized operating system; this creates a storage and CPU overhead for enterprises. The individual virtual machines cost in both private and public clouds as it requires massive licensing and high operating costs.
Container-based applications can run quickly and reliably from one computing environment to another as it packages all the codes and the dependencies in a single standard unit. To ensure quick, reliable, and consistent deployments, containers share the same operating system installed on the server and run as a resource-isolated process. Containers allow multiple applications to run on a single operating system. The applications are segmented in their respective containers within the same operating system.
To deploy containers, the IT teams need to have expertise over container management programs like Docker, CoreOS, and Kuberenetes. These container management platforms have multiple tools for designing, deploying, and monitoring applications that run within the containers. As the container-based applications run on a single platform, the focus is on the application rather than the operating system. Containers allow developers to create predictable environments that are isolated from other environments. A consistent environment means fewer bugs as the developers can make assumptions in DevOps environment.
Containers have an ability to run on any environments. It can run on different operating systems like Linux, Windows, and Mac. It can run on virtual machines as well as bare metals. It can also run on a personal device or in data centers.
Serverless computing technology also an option for IT companies, but it’s a relatively new technology and the developers will have to rewrite the entire code if they decide to switch to the serverless computing technology. Serverless technology has only been tested on smaller applications, so migrating large applications can be a slow process. Containers can deploy large applications in quick time.