You're reading from The Ultimate Docker Container Book Build, test, ship, and run containers with Docker and Kubernetes

Product type Paperback

Published in Aug 2023

Publisher Packt

ISBN-13 9781804613986

Length 626 pages

Edition 3rd Edition

Tools

Docker

Concepts

DevOps

Author (1):

Dr. Gabriel N. Schenker

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Table of Contents (26) Chapters

Preface

1. Part 1:Introduction

2. Chapter 1: What Are Containers and Why Should I Use Them? FREE CHAPTER

3. Chapter 2: Setting Up a Working Environment

4. Part 2:Containerization Fundamentals

5. Chapter 3: Mastering Containers

6. Chapter 4: Creating and Managing Container Images

7. Chapter 5: Data Volumes and Configuration

8. Chapter 6: Debugging Code Running in Containers

9. Chapter 7: Testing Applications Running in Containers

10. Chapter 8: Increasing Productivity with Docker Tips and Tricks

11. Part 3:Orchestration Fundamentals

12. Chapter 9: Learning about Distributed Application Architecture

13. Chapter 10: Using Single-Host Networking

14. Chapter 11: Managing Containers with Docker Compose

15. Chapter 12: Shipping Logs and Monitoring Containers

16. Chapter 13: Introducing Container Orchestration

17. Chapter 14: Introducing Docker Swarm

18. Chapter 15: Deploying and Running a Distributed Application on Docker Swarm

19. Part 4:Docker, Kubernetes, and the Cloud

20. Chapter 16: Introducing Kubernetes

21. Chapter 17: Deploying, Updating, and Securing an Application with Kubernetes

22. Chapter 18: Running a Containerized Application in the Cloud

23. Chapter 19: Monitoring and Troubleshooting an Application Running in Production

24. Index

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Monitoring and Troubleshooting an Application Running in Production

In the previous chapter, we got an overview of the three most popular ways of running containerized applications in the cloud – AWS EKS, Azure AKS, and Google GKE. We then explored each of the hosted solutions and discussed their pros and cons.

This chapter looks at different techniques used to instrument and monitor an individual service or a whole distributed application running on a Kubernetes cluster. You will be introduced to the concept of alerting based on key metrics. The chapter also shows how one can troubleshoot an application service that is running in production without altering the cluster or the cluster nodes on which the service is running.

Here is a list of topics we are going to discuss in this chapter: