Migrating from monolith to stable microservices architectures require robust, scalable, and containerized deployment and orchestration capabilities.

Migrating from monolith to stable microservices architectures require robust, scalable, and containerized deployment and orchestration capabilities. In this course, you'll explore the challenges of transforming from monolith applications to microservices, the benefits of microservices and container orchestration, and various container orchestration deployment options for managing containerized deployments. You'll investigate the evolution, key features, and components of Kubernetes, identifying the pros and cons of the recommended installation and configuration options for Kubernetes and establishing the key criteria for evaluating Kubernetes solutions for enterprise workloads, including using Pods to manage multiple containers. Additionally, you'll install "all-in-one" Kubernetes using containers to run Kubernetes components as Docker containers on a single host. You'll use kubectl to run applications on Kubernetes clusters. Lastly, you'll create a service that targets TCP port 80 on any Pod and expose this service onto an external IP address.

WHAT YOU WILL LEARN

discover the key concepts covered in this course

recognize the challenges associated with monolith applications in the cloud along with the benefits afforded by microservices

recall the path of transformation that we can adopt to transform monolith applications to microservices

recall the concept and benefits of container orchestration

describe the different container orchestration options and container orchestration deployment options that can be adopted to manage containerized deployments

recognize the role of the Cloud Native Computing Foundation and the evolution of Kubernetes

describe the key features and components of Kubernetes

identify the pros and cons of the different recommended installation and configuration options for Kubernetes in order to able to select the right options

list the key criteria that need to be considered while evaluating Kubernetes solutions for enterprise workloads

install all-in-one Kubernetes using containers to run the Kubernetes components as Docker containers on a single host

create and manage deployments that run applications on Kubernetes clusters using kubectl

recognize the concept of Pods in Kubernetes along with the approaches used by Pods to manage multiple containers

list the key objective of Kubernetes services and the different approaches to exposing services

create a service that targets TCP port 80 on any Pod and exposes the service onto an external IP address

summarize the key concepts covered in this course