We live in an environment that is ever-changing. Take it in the Business requirements or the User demands, all are constantly in a flux and always evolving. In accordance, our infrastructure is also on a constant transformation and continues to be in this state, even after several pretention in the paste to bring about a point of stability — that we anticipated to reach in a state of “done.” Once we finished setting up that totally stable infrastructure, then can perform everything with excellence without any problems, true?
With IT industry constantly in its bombarding mode, it treats change as an exception but not as a rule. Yet, to frame change is the only constant in our world.
In recent years, the increased use of containers has come largely out of the influence the container double brought in to the market. Devouring a deployable artefact, the Docker image that bundled together all its alliances, starting from the operating system through middleware and lastly the application components all of them enabled significant advancements in development and operational (DevOps) productivities with the speed of containers launching help to expand and refine practices in the infrastructure code to immutable infrastructure. But the main point is containers are not the only reasons for the need for constant adaptation.
Kubernetes is the top most container in popularity for orchestration systems today, provided with good reason in the industry. The reason behind Kubernetes and other similar systems shine is their system operating in a mode that anticipates constant change indicating its relatability to business and infrastructure.
The Kubernetes model is effective for the reasons such as ,its allowance to a user to say express his desired state openly like-‘ I want 5 instances of my user-facing web page, 2 instances of my catalogue service and 4 instances of my shopping cart service’ accordingly approaches are augmented by Kubernetes.
Finally, perhaps the most exciting thing about Kubernetes, is its extensibility. Kubernetes already delivers a whole lot of resource types like pods, storage classes, roles and much more. With the functionality to lifecycle managing the resources by providing replica sets, daemon sets, stateful sets etc. particularly when it comes to workloads relating to database, cache, or indexing services, relating to individual unique needs.