This article discusses various aspects of microservice architecture and deployment options for containerized applications, including automating frequent commands, versioning, and configuration management to save time and prevent unexpected failures. It also covers the importance of continuous integration and deployment, service mesh, service discovery, load balancing, autoscaling, and resiliency in designing a dynamic framework that encapsulates components of a workflow or process. The article aims to provide practical advice for teams transitioning to microservices architecture, including using operators to get the most out of Kubernetes, A/B testing, blue-green deployment, canary releases, secrets management, and versioning.