https://github.com/trainingbypackt/cloud-native-continuous-integration-and-delivery-elearning

Codes for Cloud-Native Continuous Integration and Delivery eLearning course
https://github.com/trainingbypackt/cloud-native-continuous-integration-and-delivery-elearning

cloud cloud-native continuous-delivery continuous-integration docker kubernetes software-development

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Codes for Cloud-Native Continuous Integration and Delivery eLearning course

• Host: GitHub
• URL: https://github.com/trainingbypackt/cloud-native-continuous-integration-and-delivery-elearning
• Owner: TrainingByPackt
• License: mit
• Created: 2019-02-18T06:02:54.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-02-20T12:07:42.000Z (over 7 years ago)
• Last Synced: 2025-03-03T08:45:10.067Z (over 1 year ago)
• Topics: cloud, cloud-native, continuous-delivery, continuous-integration, docker, kubernetes, software-development
• Language: Go
• Size: 3.13 MB
• Stars: 1
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Cloud-Native Continous Integration and Delivery [eLearning]

Cloud-native software development requires new ways of application building and delivery. This course begins with an introduction to cloud-native concepts. It teaches you skills to create a continuous integration and delivery environment for your applications, and deploy them using tools, such as Kubernetes and Docker. By the end of this course, you’ll be able to design professional and enterprise-ready CI/CD pipelines.

## What you will learn

* Learn the basics of DevOps patterns for cloud-native architectures

* Learn the cloud-native way of designing CI/CD systems

* Create multi-stage builds and tests for Docker

* Apply the best practices for Docker container images

* Build and test applications on the cloud

* Learn how to continuously deliver to the Docker registry

* Learn how to continuously deploy to Kubernetes

* Configure and deploy software to Kubernetes using Helm

### Hardware requirements

For an optimal experience, we recommend the following hardware configuration:

* **Processor**: Intel Core i5 processor or higher

* **Memory**: 4 GB RAM or more

### Software requirements

*	**A text editor**:  Sublime Text (latest version), Atom IDE (latest version), or another similar text editor application

*	**Docker**

*	**Git**