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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

Product type Paperback

Published in May 2020

Publisher Packt

ISBN-13 9781800209671

Length 368 pages

Edition 2nd Edition

Tools

Azure

Concepts

Containerization

Authors (3):

Nills Franssens

Gunther Lenz

Shivakumar Gopalakrishnan

View More author details

Table of Contents (16) Chapters

Preface

About Hands-On Kubernetes on Azure, Second Edition

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

Scaling your application

There are two scale dimensions for applications running on top of AKS. The first scale dimension is the number of Pods a deployment has, while the second scale dimension in AKS is the number of nodes in the cluster.

By adding additional Pods to a deployment, also known as scaling out, you add additional compute power to the deployed application. You can either scale out your applications manually or have Kubernetes take care of this automatically via the HPA. The HPA will watch metrics such as CPU to determine whether Pods need to be added to your deployment.

The second scale dimension in AKS is the number of nodes in the cluster. The number of nodes in a cluster defines how much CPU and memory are available for all the applications running on that cluster. You can scale your cluster either manually by changing the number of nodes, or you can use the cluster autoscaler to automatically scale out your cluster. The cluster autoscaler will watch the cluster...

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Authors (3)

Nills Franssens

Nills Franssens

Nills Franssens is a technology enthusiast and a specialist in multiple open-source technologies. He has been working with public cloud technologies since 2013. In his current position as a Principal Cloud Solutions Architect at Microsoft, he works with Microsoft's strategic customers on their cloud adoption. He has worked with multiple customers in migrating applications to run on Kubernetes on Azure. Nills' areas of expertise are Kubernetes, networking, and storage in Azure. When he's not working, you can find Nills playing board games with his wife Kelly and friends, or running one of the many trails in San Jose, California.

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Lenz

Lenz

Gunther Lenz is senior director of the technology office at Varian. He is an innovative software R&D leader, architect, MBA, published author, public speaker, and strategic technology visionary with more than 20 years of experience. He has a proven track record of successfully leading large, innovative, and transformational software development and DevOps teams of more than 50 people, with a focus on continuous improvement. He has defined and lead distributed teams throughout the entire software product lifecycle by leveraging groundbreaking processes, tools, and technologies such as the cloud, DevOps, lean/agile, microservices architecture, digital transformation, software platforms, AI, and distributed machine learning. He was awarded Microsoft Most Valuable Professional for Software Architecture (2005-2008). Gunther has published two books, .NET – A Complete Development Cycle and Practical Software Factories in .NET.

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Gopalakrishnan

Gopalakrishnan

Shivakumar Gopalakrishnan is DevOps architect at Varian Medical Systems. He has introduced Docker, Kubernetes, and other cloud-native tools to Varian product development to enable "Everything as Code". He has years of software development experience in a wide variety of fields, including networking, storage, medical imaging, and currently, DevOps. He has worked to develop scalable storage appliances specifically tuned for medical imaging needs and has helped architect cloud-native solutions for delivering modular AngularJS applications backed by microservices. He has spoken at multiple events on incorporating AI and machine learning in DevOps to enable a culture of learning in large enterprises. He has helped teams in highly regulated large medical enterprises adopt modern agile/DevOps methodologies, including the "You build it, you run it" model. He has defined and leads the implementation of a DevOps roadmap that transforms traditional teams to teams that seamlessly adopt security- and quality-first approaches using CI/CD tools. He holds a bachelor of engineering degree from College of Engineering, Guindy, and a Master of Science degree from University of Maryland, College Park.

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