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Kubernetes for Developers

You're reading from   Kubernetes for Developers Use Kubernetes to develop, test, and deploy your applications with the help of containers

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788834759
Length 374 pages
Edition 1st Edition
Languages
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Author (1):
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Joseph Heck Joseph Heck
Author Profile Icon Joseph Heck
Joseph Heck
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Table of Contents (12) Chapters Close

Preface 1. Setting Up Kubernetes for Development FREE CHAPTER 2. Packaging Your Code to Run in Kubernetes 3. Interacting with Your Code in Kubernetes 4. Declarative Infrastructure 5. Pod and Container Lifecycles 6. Background Processing in Kubernetes 7. Monitoring and Metrics 8. Logging and Tracing 9. Integration Testing 10. Troubleshooting Common Problems and Next Steps 11. Other Books You May Enjoy

What this book covers

Chapter 1Setting Up Kubernetes for Development, covers the installation of kubectl, minikube, and Docker, and running kubectl with minikube to validate your installation. This chapter also provides an introduction to the concepts in Kubernetes of Nodes, Pods, Containers, ReplicaSets, and Deployments.

Chapter 2, Packaging Your Code to Run in Kubernetes, explains how to package your code within containers in order to use Kubernetes with examples in Python and Node.js.

Chapter 3, Interacting with Your Code in Kubernetes, covers how to run containers in Kubernetes, how to access these containers, and introduces the Kubernetes concepts of Services, Labels, and Selectors.

Chapter 4, Declarative Infrastructure, covers expressing your application in a declarative structure, and how to extend that to utilize the Kubernetes concepts of ConfigMaps, Annotations, and Secrets.

Chapter 5, Pod and Container Lifecycles, looks at the life cycle of containers and Pods within Kubernetes, and how to expose hooks from your application to influence how Kubernetes runs your code, and how to terminate your code gracefully.

Chapter 6, Background Processing in Kubernetes, explains the batch processing concepts in Kubernetes of Job and CronJob, and introduces how Kubernetes handles persistence with Persistent Volumes, Persistent Volume Claims, and Stateful Sets.

Chapter 7, Monitoring and Metrics, covers monitoring in Kubernetes, and how to utilize Prometheus and Grafana to capture and display metrics and simple dashboards about Kubernetes in general, as well as your applications.

Chapter 8, Logging and Tracing, explains how to collect logs with Kubernetes using ElasticSearch, FluentD, and Kibana, and how you can set up and use distributed tracing with Jaeger.

Chapter 9, Integration Testing, covers testing strategies that take advantage of Kubernetes, and how to leverage Kubernetes in integration and end-to-end tests.

Chapter 10, Troubleshooting Common Problems and Next Steps, reviews a number of common pain points you may encounter when getting started with Kubernetes and explains how to resolve them, and provides an overview of a number of projects within the Kubernetes ecosystem that may be of interest to developers and the development process.

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