In the rapidly developing world of technology where a new concept or a plausible implementation of a long-lost concept is born and is deployed on the cloud for various benefits that it offers. With the rapidly growing and ever-increasing dependency on cloud, it is of the most importance to ensure stability from a developer standpoint and it is also very important that it is dynamically scalable and fault-tolerant and in a hope to achieve the same, here is a project set to fulfill the necessities of the modern application which could benefit from the autoscaling resource optimized clusterization. This is set to be achieved by using the help of a popular containerization platform called Docker. Using a container translates to better isolated environments which are independent of their operational state and in-turn better provides robust security and generally contributes to the fault tolerant nature of an infrastructure adding Kubernetes in the mix not only makes the deployment highly robust and scalable it also makes deployment simpler for the developer mainly because of its declarative instruction advantage over Docker CLI or even KubeCTL’s Imperative instruction type. Majorly optimizing the efforts of developer’s deployment rather than the build from scratch approach that was previously used extensively. The implementation is designed with fluidity in mind and its main intention is to provide a seamless experience regardless the operations being carried out in the background. These background operations may include spawning of new nodes or pods, re-creation of deteriorated or erroneous containers (PODS) inside the nodes.

Scalable, Fault-Tolerant, Containerization, Docker , Clusterization, Robust, Kubernetes, pods,CLI

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