You're reading from Mastering Elastic Kubernetes Service on AWS Deploy and manage EKS clusters to support cloud-native applications in AWS

Product type Paperback

Published in Jul 2023

Publisher Packt

ISBN-13 9781803231211

Length 448 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Cloud Computing

Authors (2):

Yang-Xin Cao

Malcolm Orr

View More author details

Table of Contents (28) Chapters

Preface

1. Part 1: Getting Started with Amazon EKS

2. Chapter 1: The Fundamentals of Kubernetes and Containers FREE CHAPTER

3. Chapter 2: Introducing Amazon EKS

4. Chapter 3: Building Your First EKS Cluster

5. Chapter 4: Running Your First Application on EKS

6. Chapter 5: Using Helm to Manage a Kubernetes Application

7. Part 2: Deep Dive into EKS

8. Chapter 6: Securing and Accessing Clusters on EKS

9. Chapter 7: Networking in EKS

10. Chapter 8: Managing Worker Nodes on EKS

11. Chapter 9: Advanced Networking with EKS

12. Chapter 10: Upgrading EKS Clusters

13. Part 3: Deploying an Application on EKS

14. Chapter 11: Building Applications and Pushing Them to Amazon ECR

15. Chapter 12: Deploying Pods with Amazon Storage

16. Chapter 13: Using IAM for Granting Access to Applications

17. Chapter 14: Setting Load Balancing for Applications on EKS

18. Chapter 15: Working with AWS Fargate

19. Chapter 16: Working with a Service Mesh

20. Part 4: Advanced EKS Service Mesh and Scaling

21. Chapter 17: EKS Observability

22. Chapter 18: Scaling Your EKS Cluster

23. Chapter 19: Developing on EKS

24. Part 5: Overcoming Common EKS Challenges

25. Chapter 20: Troubleshooting Common Issues

26. Index

Why subscribe?

27. Other Books You May Enjoy

Common workload problems

This section lists common issues you might see with pods and/or deployments in an EKS cluster, along with potential solutions.

State:  Running
Started: Sun, 16 Feb 2020 10:20:09 +0000
Last State: Terminated
Reason: OOMKilled

In the preceding error message from the kubectl describe pod command, the most likely issue is a connectivity issue or a memory issue, as OOMKilled means that the pod has reached its memory limit, so it restarts. You need to increase the memory setting in the deployment or pod specification.

NAME            READY  STATUS            RESTARTS   AGE
myDeployment1-123... 1/1    Running           1     17m
myDeployment1-234... 0/1    CrashLoopBackOff  2...