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Deploying Software to Kubernetes [Video]

This is the code repository for Deploying Software to Kubernetes [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

Kubernetes is the new infrastructure. If you understand how to use it, it automatically unlocks the benefits of standard continuous delivery in your apps. We are going to set up a Kubernetes cluster in Google Cloud Platform and deploy software in a CI/CD manner so that we speed up the release cycle in a way that has no one seen before.

This video course starts by explaining the organizational alignment that has to happen in every company that wants to implement DevOps in order to be effective.

We delve into deploying and managing applications on Kubernetes, but we also take a look at how Docker Swarm works. We also explore how to create a continuous delivery pipeline and deploy a microservice-based system to update it, keeping all the lights on. We will review some tools for monitoring software, but our focus will be on Stackdriver, as this monitoring solution from Google Cloud Platform provides us (out of the box) with a fairly comprehensive set of tools to deal with the flaws in our systems.

What You Will Learn

  • Master development best practices
  • Create cost-effective work units with DevOps
  • Learn to deploy and manage the application on Kubernetes
  • Create a continuous delivery pipeline
  • Learn to put specific metrics in place to measure DevOps ROI and monitor logs and events in a system

Instructions and Navigation

Assumed Knowledge

To fully benefit from the coverage included in this course, you will need:
This video course targets intermediate DevOps engineers who want to learn about Kubernetes and best practices to manage IT infrastructures or would like to acquire the skills needed to work in DevOps teams.

Technical Requirements

This course has the following software requirements:
Trial account on Google Cloud Platform Editor as well as Node.js Docker Google Kubernetes Engine (GKE)

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