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Hands-On Kubernetes on Windows

You're reading from   Hands-On Kubernetes on Windows Effectively orchestrate Windows container workloads using Kubernetes

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838821562
Length 592 pages
Edition 1st Edition
Languages
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Author (1):
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Piotr Tylenda Piotr Tylenda
Author Profile Icon Piotr Tylenda
Piotr Tylenda
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Table of Contents (23) Chapters Close

Preface 1. Section 1: Creating and Working with Containers
2. Creating Containers FREE CHAPTER 3. Managing State in Containers 4. Working with Container Images 5. Section 2: Understanding Kubernetes Fundamentals
6. Kubernetes Concepts and Windows Support 7. Kubernetes Networking 8. Interacting with Kubernetes Clusters 9. Section 3: Creating Windows Kubernetes Clusters
10. Deploying a Hybrid On-Premises Kubernetes Cluster 11. Deploying a Hybrid Azure Kubernetes Service Engine Cluster 12. Section 4: Orchestrating Windows Containers Using Kubernetes
13. Deploying Your First Application 14. Deploying Microsoft SQL Server 2019 and a ASP.NET MVC Application 15. Configuring Applications to Use Kubernetes Features 16. Development Workflow with Kubernetes 17. Securing Kubernetes Clusters and Applications 18. Monitoring Kubernetes Applications Using Prometheus 19. Disaster Recovery 20. Production Considerations for Running Kubernetes 21. Assessments 22. Other Books You May Enjoy

Using cloud container builders

One of the features that Docker Hub offers is automated builds (autobuilds). This is especially useful in Continuous Integration and Continuous Deployment scenarios where you would like to ensure that each push to your code repository results in a build, a publish, and potentially a deployment.

Currently, Docker Hub does not support Windows images, but this is likely to change in the near future. We will demonstrate this usage on a Linux image, but all the principles remain the same. For Windows container cloud builds, check out the next section about Azure Container Registry.

To set up automated builds, complete the following steps:

  1. Create a GitHub repository where your application code resides, together with a Dockerfile that defines the Docker image for the application.
  2. Create a Docker Hub repository and add an autobuild trigger. This trigger...
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