Develop and Operate Microservices on Kubernetes: Step up your DevOps game with Kubernetes [Video]

Moving to microservices is not an easy transition for developers who have been building applications using more traditional methods. There are a ton of new concepts and details developers need to become familiar with when they design a distributed application. Throw Docker and Kubernetes into the mix and it becomes clear why many developers struggle to adapt to this new world. The goal of this course is to walk you through the process of getting familiar with Kubernetes and its way of doing things. The course is designed to get you through the process of becoming familiar with the Kubernetes environment in order to be able to deploy, configure, and manage the environment where the services are going to run. You will go through examples based on the author’s real-world experience in working with Kubernetes while building complex distributed architectures. We focus on deploying services that need to store data and learn how Kubernetes Persistent Volumes can be used to create deployments that guarantee data resiliency. Moving on, we learn how to give services access to connection strings, usernames, passwords, and other sensitive information using Kubernetes Secrets. By the end of the course, you will have mastered best practices and leveraged some of the latest DevOps technologies to increase agility and decrease time-to-market for the services you have built. The code bundle for this video course is available at https://github.com/PacktPublishing/Develop-and-Operate-Microservices-on-Kubernetes.

1. Manage and deploy containers in Kubernetes 2. Explore Kubernetes platforms such as pods, deployments, replica sets and secrets 3. Use both the kubectl (CLI) and Kubernetes dashboard 4. Set up and use a modern DevOps workflow that takes care of updating existing deployments when new code is checked into the source code repo 5. Configure and update services after they've been deployed 6. Use a local development environment with minikube or Kubernetes support in Docker