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Hands-On Kubernetes on Azure

You're reading from   Hands-On Kubernetes on Azure Automate management, scaling, and deployment of containerized applications

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781800209671
Length 368 pages
Edition 2nd Edition
Tools
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Authors (3):
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Nills Franssens Nills Franssens
Author Profile Icon Nills Franssens
Nills Franssens
Gunther Lenz Gunther Lenz
Author Profile Icon Gunther Lenz
Gunther Lenz
Shivakumar Gopalakrishnan Shivakumar Gopalakrishnan
Author Profile Icon Shivakumar Gopalakrishnan
Shivakumar Gopalakrishnan
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Toc

Table of Contents (16) Chapters Close

Preface Section 1: The Basics
1. Introduction to Docker and Kubernetes FREE CHAPTER 2. Kubernetes on Azure (AKS) Section 2: Deploying on AKS
3. Application deployment on AKS 4. Building scalable applications 5. Handling common failures in AKS 6. Securing your application with HTTPS and Azure AD 7. Monitoring the AKS cluster and the application Section 3: Leveraging advanced Azure PaaS services
8. Connecting an app to an Azure database 9. Connecting to Azure Event Hubs 10. Securing your AKS cluster 11. Serverless functions Index

Solving out-of-resource failures

Another common issue that can come up with Kubernetes clusters is the cluster running out of resources. When the cluster doesn't have enough CPU power or memory to schedule additional Pods, Pods will become stuck in a Pending state.

Kubernetes uses requests to calculate how much CPU power or memory a certain Pod requires. Our guestbook application has requests defined for all the deployments. If you open the guestbook-all-in-one.yaml file, you'll see the following for the redis-slave deployment:

...
63  kind: Deployment
64  metadata:
65    name: redis-slave
...
83          resources:
84            requests:
85              cpu: 100m
86              ...
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