About the course
Deploy, scale, and maintain your distributed applications with Kubernetes
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.
Style and Approach
This video course will take you through the key concepts required in using Kubernetes features to design, deploy, and manage microservices. By using practical examples, you will learn to design and build complex microservice-based architectures that run on Kubernetes.
What You Will Learn
- Manage and deploy containers in Kubernetes
- Explore Kubernetes platforms such as pods, deployments, replica sets and secrets
- Use both the kubectl (CLI) and Kubernetes dashboard
- 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
- Configure and update services after they've been deployed
- Use a local development environment with minikube or Kubernetes support in Docker
Martin Helmich studied computer science at the University of Applied Sciences in Osnabrück and lives in Rahden, Germany. He works as a software architect, specializing in building distributed applications using web technologies and Microservice Architectures. Besides programming in Go, PHP, Python, and Node.js, he also builds infrastructures using configuration management tools such as SaltStack and container technologies such as Docker and Kubernetes.
He is an Open Source enthusiast and likes to make fun of people who are not using Linux. In his free time, you'll probably find him coding on one of his open source pet projects, listening to music, or reading science-fiction literature.
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