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The Kubernetes Workshop

You're reading from The Kubernetes Workshop Learn how to build and run highly scalable workloads on Kubernetes

Product type Paperback

Published in Sep 2020

Publisher Packt

ISBN-13 9781838820756

Length 780 pages

Edition 1st Edition

Tools

Kubernetes

Concepts

Containerization

Authors (6):

Zachary Arnold

Mohammed Abu Taleb

Wei Huang

Sahil Dua

Mélony Qin

Faisal Masood

+2 more

View More author details

Table of Contents (20) Chapters

Preface

1. Introduction to Kubernetes and Containers

2. An Overview of Kubernetes FREE CHAPTER

3. kubectl – Kubernetes Command Center

4. How to Communicate with Kubernetes (API Server)

5. Pods

6. Labels and Annotations

7. Kubernetes Controllers

8. Service Discovery

9. Storing and Reading Data on Disk

10. ConfigMaps and Secrets

11. Build Your Own HA Cluster

12. Your Application and HA

13. Runtime and Network Security in Kubernetes

14. Running Stateful Components in Kubernetes

15. Monitoring and Autoscaling in Kubernetes

16. Kubernetes Admission Controllers

17. Advanced Scheduling in Kubernetes

18. Upgrading Your Cluster without Downtime

19. Custom Resource Definitions in Kubernetes

DaemonSets

DaemonSets are used to manage the creation of a particular Pod on all or a selected set of nodes in a cluster. If we configure a DaemonSet to create Pods on all nodes, then if new nodes are added to the cluster, new pods will be created to run on these new nodes. Similarly, if some nodes are removed from the cluster, the Pods running on these nodes will be destroyed.

Use Cases for DaemonSets

Logging: One of the most common use cases for a DaemonSet is to manage running a log collection Pod on all nodes. These Pods can be used to collect logs from all the nodes and then process them in a log processing pipeline.
Local data caching: A DaemonSet can also be used to manage caching Pods on all the nodes. These Pods can be used by other application Pods to store the cached data temporarily.
Monitoring: Another use case for a DaemonSet is to manage running monitoring Pods on all the nodes. This can be used to collect system- or application-level metrics for Pods...

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Authors (6)

Zachary Arnold

Zachary Arnold

Zachary Arnold works as a software engineer at Ygrene Energy Fund. Zach has an experience of over 10 years in modern web development. He is an active contributor to the Open Source Kubernetes project in both SIG-Release and SIG-Docs currently focusing on security. He has been running clusters in production since Kubernetes 1.7 and has spoken at the previous 4 KubeCons. His passion areas in the project center on building highly stable Kubernetes cluster components and running workloads securely inside of Kubernetes.

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Mohammed Abu Taleb

Mohammed Abu Taleb

Mohammed Abu-Taleb works as a Technical Advisor at Microsoft. Working at Microsoft CSS team for troubleshooting complex issues and cases for premier customers that are using Azure Kubernetes Services (AKS). Prior that, Mohammed was a SME (subject matter expert) for the azure managed monitoring service (Azure Monitor) focusing on designing, deploying, and troubleshooting monitoring strategies for containers.

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Wei Huang

Wei Huang

Wei Huang: Wei works as a senior software engineer in IBM. He has over 10 years' experiences around database, data warehouse tooling, cloud, container, monitoring and devops. He started to use Kubernetes since 1.3, including extending Kubernetes LoadBalancer using CRD, networking, scheduling and monitoring. Now he is a core maintainer of Kubernetes SIG-Scheduling.

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Sahil Dua

Sahil Dua

Sahil Dua is a software engineer. He started using Kubernetes to run machine learning workloads. Currently, he is running various types of applications on Kubernetes. He shared his learnings as a keynote session at KubeCon Europe 2018. He is a passionate open source contributor and has contributed to some famous projects such as Git, pandas, hound, go-GitHub, and so on. He has been an open source community leader for over 2 years at DuckDuckGo.

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Mélony Qin

Mélony Qin

Mélony Qin, aka CloudMelon, is a Microsoft senior cloud computing technology evangelist. She is an accomplished blogger and published book author and co-author for two Packt books namely Microsoft Azure Infrastructure and The Kubernetes Workshop. She is also the technical reviewer for Azure for Architects, Third Edition. She is mainly working on her contributions towards OSS, DevOps, Kubernetes, serverless, big data analytics, and IoT on Microsoft Azure in the community.

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Faisal Masood

Faisal Masood

Faisal Masood is a cloud transformation architect at AWS. Faisal's focus is to assist customers in refining and executing strategic business goals. Faisal main interests are evolutionary architectures, software development, ML lifecycle, CD and IaC. Faisal has over two decades of experience in software architecture and development.

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