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Cloud Native with Kubernetes

You're reading from   Cloud Native with Kubernetes Deploy, configure, and run modern cloud native applications on Kubernetes

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Product type Paperback
Published in Jan 2021
Publisher Packt
ISBN-13 9781838823078
Length 446 pages
Edition 1st Edition
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Author (1):
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Alexander Raul Alexander Raul
Author Profile Icon Alexander Raul
Alexander Raul
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Setting Up Kubernetes
2. Chapter 1: Communicating with Kubernetes FREE CHAPTER 3. Chapter 2: Setting Up Your Kubernetes Cluster 4. Chapter 3: Running Application Containers on Kubernetes 5. Section 2: Configuring and Deploying Applications on Kubernetes
6. Chapter 4: Scaling and Deploying Your Application 7. Chapter 5: Services and Ingress – Communicating with the Outside World 8. Chapter 6: Kubernetes Application Configuration 9. Chapter 7: Storage on Kubernetes 10. Chapter 8: Pod Placement Controls 11. Section 3: Running Kubernetes in Production
12. Chapter 9: Observability on Kubernetes 13. Chapter 10: Troubleshooting Kubernetes 14. Chapter 11: Template Code Generation and CI/CD on Kubernetes 15. Chapter 12: Kubernetes Security and Compliance 16. Section 4: Extending Kubernetes
17. Chapter 13: Extending Kubernetes with CRDs 18. Chapter 14: Service Meshes and Serverless 19. Chapter 15: Stateful Workloads on Kubernetes 20. Assessments 21. Other Books You May Enjoy

Understanding CI/CD paradigms on Kubernetes – in-cluster and out-of-cluster

Continuous integration and deployment to Kubernetes can take many forms.

Most DevOps engineers will be familiar with tools such as Jenkins, TravisCI, and others. These tools are fairly similar in that they provide an execution environment to build applications, perform tests, and call arbitrary Bash scripts in a controlled environment. Some of these tools run commands inside containers, while others don't.

When it comes to Kubernetes, there are multiple schools of thought in how and where to use these tools. There is also a newer breed of CI/CD platforms that are much more tightly coupled to Kubernetes primitives, and many that are architected to run on the cluster itself.

To thoroughly discuss how tooling can pertain to Kubernetes, we will split our pipelines into two logical steps:

  1. Build: Compiling, testing applications, building container images, and sending to image repositories...
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