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Craig Johnston - Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning

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Craig Johnston Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning
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Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning: summary, description and annotation

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Leverage Kubernetes for the rapid adoption of emerging technologies. Kubernetes is the future of enterprise platform development and has become the most popular, and often considered the most robust, container orchestration system available today. This book focuses on platforming technologies that power the Internet of Things, Blockchain, Machine Learning, and the many layers of data and application management supporting them.Advanced Platform Development with Kubernetes takes you through the process of building platforms with these in-demand capabilities. Youll progress through the development of Serverless, CICD integration, data processing pipelines, event queues, distributed query engines, modern data warehouses, data lakes, distributed object storage, indexing and analytics, data routing and transformation, query engines, and data science/machine learning environments. Youll also see how to implement and tie together numerous essential and trending technologies including: Kafka, NiFi, Hive, Keycloak, Cassandra, MySQL, Zookeeper, Mosquitto, Elasticsearch, Logstash, Kibana, Presto, Mino, OpenFaaS, Ethereum, WireGuard, MLflow and Seldon Core.The book uses Golang and Python to demonstrate the development integration of custom container and Serverless functions, including interaction with the Kubernetes API. The exercises throughout teach Kubernetes through the lens of platform development, expressing the power and flexibility of Kubernetes with clear and pragmatic examples. Discover why Kubernetes is an excellent choice for any individual or organization looking to embark on developing a successful data and application platform.

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Craig Johnston - Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning
Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning
Craig Johnston
Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning

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Craig Johnston Advanced Platform Development with Kubernetes Enabling Data - photo 1
Craig Johnston
Advanced Platform Development with Kubernetes
Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning
1st ed.
Craig Johnston Los Angeles CA USA Any source code or other supplementary - photo 2
Craig Johnston
Los Angeles, CA, USA

Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/978-1-4842-5610-7 . For more detailed information, please visit http://www.apress.com/source-code .

ISBN 978-1-4842-5610-7 e-ISBN 978-1-4842-5611-4
https://doi.org/10.1007/978-1-4842-5611-4
Craig Johnston 2020
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Distributed to the book trade worldwide by Springer Science+Business Media New York, 1 NY Plaza, New York, NY 10004. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com, or visit www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.
Acknowledgments

I want to start by thanking Kelsey Hightower, who inspired me and so many others with his passion and excitement for technologies that advance a developers productivity. Kelseys live demonstrations, talks, and tutorials convinced me that Kubernetes is a platform for developing platforms. Kelsey is also responsible for the popularity of my Kubernetes development utility kubefwd.

A big thank you to my friend, co-worker, author, and software developer, David Elsensohn. David poured over every draft to ensure my English syntax would compile in the readers minds. Thanks to everyone at Deasil Works, especially Jeff Masud, for helping me carve out time to write a book in one of our busiest years (and for fixing the clusters I broke along the way).

Thanks to Apress editors Natalie Pao and Jessica Vakili for their patience and encouragement. Thanks again to Natalie Pao for having a vision for this book and encouraging me to write it. Thanks to my technical reviewer David Gonzlez for correcting my mistakes, unintentional obfuscations, and providing valuable guidance for technical clarity.

Lastly, thanks to my family and friends (most of them having no idea what a Kubernetes is) who encouraged me to stay focused and motivated. Thank you!

Table of Contents
About the Author
Craig Johnston

currently holds the position of Chief Architect at Deasil Works, Inc. and has been developing software for over 25 years. Craigs expertise revolves around microservices, artificial intelligence, algorithms, machine learning, and blockchain technologies.

Craig has helped lead his team to significantly improved productivity and return on investment across many client projects, leveraging Kubernetes, Docker, Golang, Cassandra, Kafka, and Elastic, to name a few. The team and he are developing more productive, stable, clean, and faster applications than ever in the past, and the results are beautiful and innovative IoT management systems, IoT implementations, mobile applications, business intelligence, data management, and machine learning platforms.

As the former Director of R&D at Napster and later a handful of Universal and Sony subsidiaries, Craig has been fortunate to spend many of his early days on the bleeding edge, in the open green fields of new media and disruptive technology.

Craig is successfully operating multiple commercial Kubernetes platforms utilizing all the technology and concepts proposed in Advanced Platform Development with Kubernetes.

About the Technical Reviewer
David Gonzalez

is a DevOps engineer who has written three books about DevOps and microservices. He works as a consultant, helping large companies to advance their systems development, by tweaking related software processes and tools. David is also a Google Developer Expert ( https://developers.google.com/experts/people/davidgonzalez-gonzalez ) in Kubernetes (Google Container Engine) and a member of the Node.js Foundation, working on security in third-party npm packages. In his free time, he enjoys cycling and walking with his dogs in the green fields of Ireland.

Craig Johnston 2020
C. Johnston Advanced Platform Development with Kubernetes https://doi.org/10.1007/978-1-4842-5611-4_1
1. Software Platform and the API
Craig Johnston
(1)
Los Angeles, CA, USA

On October 28, 2018, IBM announced a $34 billion deal to buy Red Hat, the company behind Red Hat Enterprise Linux (RHEL) , and more recently Red Hat OpenShift, an enterprise Docker/Kubernetes application platform. What we see is $34 billion of evidence that Cloud-native and open source technologies , centered on the Linux ecosystem and empowered by Kubernetes, are leading disruption in enterprise software application platforms.

Any exposure to enterprise software marketing presents a steady stream of platform services released almost daily by major cloud providers, including products like Google Cloud Machine Learning Engine , Microsofts Azure Machine Learning service , Amazon Managed Blockchain , and IBM Watson IoT Platform , to name a few. Big providers like Amazon, Microsoft, IBM, and Google are not only responding to market demand for these technologies but creating a greater awareness of their accessibility for solving problems across a variety of industries. Large software vendors are rapidly responding to the demand for these capabilities and perpetuate their demand by refining and marketing products that demonstrate their value. These vendors are often merely service-wrapping the latest in open source software, adding polished user interfaces and proprietary middleware. Peek under the hood of these hyper-cloud services and you often find a mesh of cloud-native and even vendor-neutral technologies for machine learning (ML) , like TensorFlow, Keras, and PyTorch, or Blockchain capabilities powered by Ethereum and Hyperledger, and high-performance IoT data collectors like Prometheus and Kafka. These vendors are not stealing this technology from the open source community; some of the most significant contributions in this ecosystem are the vendors themselves.

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