Before we begin the deployment, it is important to understand the deployment architecture that starts from the source code to the production-ready stage. Deploying and managing Kubernetes have emerged as a streamlined way to deploy containers in the cloud infrastructure. When running Kubernetes at scale, managing, operating, and scaling its infrastructure to maximize cluster utilization can be challenging. There are too many parameters the development team needs to manage and configure. This includes selecting the best instance type and size, determining when to scale up or down, and making sure all of the containers are scheduled and running on the best instances — and that is even before starting to think about cost resource optimization.