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Learn Docker - Fundamentals of Docker 19.x

You're reading from   Learn Docker - Fundamentals of Docker 19.x Build, test, ship, and run containers with Docker and Kubernetes

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838827472
Length 592 pages
Edition 2nd Edition
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Author (1):
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Dr. Gabriel N. Schenker Dr. Gabriel N. Schenker
Author Profile Icon Dr. Gabriel N. Schenker
Dr. Gabriel N. Schenker
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Table of Contents (25) Chapters Close

Preface 1. Section 1: Motivation and Getting Started
2. What Are Containers and Why Should I Use Them? FREE CHAPTER 3. Setting Up a Working Environment 4. Section 2: Containerization, from Beginner to Black Belt
5. Mastering Containers 6. Creating and Managing Container Images 7. Data Volumes and Configuration 8. Debugging Code Running in Containers 9. Using Docker to Supercharge Automation 10. Advanced Docker Usage Scenarios 11. Section 3: Orchestration Fundamentals and Docker Swarm
12. Distributed Application Architecture 13. Single-Host Networking 14. Docker Compose 15. Orchestrators 16. Introduction to Docker Swarm 17. Zero-Downtime Deployments and Secrets 18. Section 4: Docker, Kubernetes, and the Cloud
19. Introduction to Kubernetes 20. Deploying, Updating, and Securing an Application with Kubernetes 21. Monitoring and Troubleshooting an App Running in Production 22. Running a Containerized App in the Cloud 23. Assessments 24. Other Books You May Enjoy

Defining liveness and readiness

Container orchestration systems such as Kubernetes and Docker swarm make it significantly easier to deploy, run, and update highly distributed, mission-critical applications. The orchestration engine automates many of the cumbersome tasks such as scaling up or down, asserting that the desired state is maintained at all times, and more.

But, the orchestration engine cannot just do everything automagically. Sometimes, we developers need to support the engine with some information that only we can know about. So, what do I mean by that?

Let's look at a single application service. Let's assume it is a microservice and let's call it service A. If we run service A containerized on a Kubernetes cluster, then Kubernetes can make sure that we have the five instances that we require in the service definition running at all times. If one instance...

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