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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

Chapter 17

Here are some sample answers to the questions presented in this chapter:

  1. We cannot do any live debugging on a production system for performance and security reasons. This includes interactive or remote debugging. Yet application services can show unexpected behavior to code defects or other infrastructure-related issues such as network glitches or external services that are not available. To quickly pinpoint the reason for the misbehavior or failure of a service, we need as much logging information as possible. This information should give us a clue about, and guide us to, the root cause of the error. When we instrument a service, we do exactly this — we produce as much information as reasonable in the form of log entries and published metrics.

  2. Prometheus is a service that is used to collect functional or non-functional metrics that are provided by other...
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