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Big Data Architect???s Handbook

You're reading from   Big Data Architect???s Handbook A guide to building proficiency in tools and systems used by leading big data experts

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788835824
Length 486 pages
Edition 1st Edition
Languages
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Concepts
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Author (1):
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 Akhtar Akhtar
Author Profile Icon Akhtar
Akhtar
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Table of Contents (26) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Why Big Data? FREE CHAPTER 2. Big Data Environment Setup 3. Hadoop Ecosystem 4. NoSQL Database 5. Off-the-Shelf Commercial Tools 6. Containerization 7. Network Infrastructure 8. Cloud Infrastructure 9. Security and Monitoring 10. Frontend Architecture 11. Backend Architecture 12. Machine Learning 13. Artificial Intelligence 14. Elasticsearch 15. Structured Data 16. Unstructured Data 17. Data Visualization 18. Financial Trading System 19. Retail Recommendation System 1. Other Books You May Enjoy Index

Kubernetes


Kubernetes is an open source tool for orchestrating containers in a cluster. It supports different container technologies including Docker and rkt. It was initially designed by Google and was based on its internal cluster management project Borg and was named Project Seven. It was then passed on to Cloud Native Computing Foundation as an initial technology in July 2015.

Key components

There are some key components and terminologies you will encounter while using Kubernetes. These are as follows.

Pods

A pod is one or more of a group of containers that are tightly coupled to each other. The container can be based on any framework, such as Docker, rkt, and so on. It the smallest deployable unit. It also has shared network and data volumes. The following screenshot illustrates the internal structure of a pod:

 Internal structure of a pod

A pod has its own routable IP address, but it is not a requirement that it always has the same address. For example, if a failure occurs and a pod has...

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