You're reading from Docker for Developers Develop and run your application with Docker containers using DevOps tools for continuous delivery

Product type Paperback

Published in Sep 2020

Publisher Packt

ISBN-13 9781789536058

Length 468 pages

Edition 1st Edition

Tools

Docker

Concepts

Containerization

Authors (3):

Richard Bullington-McGuire

Michael Schwartz

Andrew K. Dennis

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Table of Contents (21) Chapters

Preface

1. Section 1: An Introduction to Docker – Containers and Local Development

2. Chapter 1: Introduction to Docker FREE CHAPTER

3. Chapter 2: Using VirtualBox and Docker Containers for Development

4. Chapter 3: Sharing Containers Using Docker Hub

5. Chapter 4: Composing Systems Using Containers

6. Section 2: Running Docker in Production

7. Chapter 5: Alternatives for Deploying and Running Containers in Production

8. Chapter 6: Deploying Applications with Docker Compose

9. Chapter 7: Continuous Deployment with Jenkins

10. Chapter 8: Deploying Docker Apps to Kubernetes

11. Chapter 9: Cloud-Native Continuous Deployment Using Spinnaker

12. Chapter 10: Monitoring Docker Using Prometheus, Grafana, and Jaeger

13. Chapter 11: Scaling and Load Testing Docker Applications

14. Section 3: Docker Security – Securing Your Containers

15. Chapter 12: Introduction to Container Security

16. Chapter 13: Docker Security Fundamentals and Best Practices

17. Chapter 14: Advanced Docker Security – Secrets, Secret Commands, Tagging, and Labels

18. Chapter 15: Scanning, Monitoring, and Using Third-Party Tools

19. Chapter 16: Conclusion – End of the Road, but not the Journey

20. Other Books You May Enjoy

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Deploying an application with resource limits to Kubernetes on AWS EKS

In Kubernetes, we can set resource limits on an application in order to prevent it from consuming all the available CPU and memory resources in the cluster. This is desirable to protect the system from resource exhaustion, and to ensure that an application that has a memory leak or a bug that causes it to consume more CPU than expected does not bring down the entire cluster.

To demonstrate setting resource limits, we are going to deploy the ShipIt Clicker Docker container and Helm charts we deployed to our local Kubernetes installation in the Deploying a sample application section earlier in this chapter to the EKS cluster.

To demonstrate setting resource limits, we will now look at deploying the ShipIt Clicker application to Kubernetes, managed by the AWS EKS service, with CPU and memory limits enabled. We will also expose this application to the world using an Ingress Controller.

Configuring resource...