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Advanced Platform Development with Kubernetes

Advanced Platform Development with Kubernetes

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About the Book


Advanced Platform Development with Kubernetes
Part 1: Infrastructure
Chapter 1: Platform as Infrastructure
Chapter 2: DevOps
Chapter 3: Development Environment
Chapter 4: CI/CD
Part 2: Data Platform
Chapter 5: Pipeline
Chapter 6: Indexing, Analysis, and Visualization
Chapter 7: Lakes and Warehouses
Chapter 8: Routing and Transformation
Part 3: Application
Chapter 9: Blockchain Platform
Chapter 10: Blockchain Events
Chapter 11: AI/ML Automation
Chapter 12: Kubernetes API
About the Author: Craig Johnson currently holds the positions of CTO and partner in Deasil Cognitive, Inc. and Chief Architect at Deasil Works, Inc and has been developing software for over 25 years. Craig's 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 hand full of Universal and Sony subsidiaries, Craig has been fortunate to spend many of my 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 nearly all the technology and concepts proposed in Platform Development with Kubernetes. Over the next 8-12 months he will be developing the next iteration of these concepts for a number of clients. Platform Development with Kubernetes will be based on successful real-world systems currently in development and production.


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Product Details
  • ISBN-13: 9781484256107
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Height: 234 mm
  • No of Pages: 511
  • Spine Width: 27 mm
  • Weight: 784 gr
  • ISBN-10: 1484256107
  • Publisher Date: 18 Sep 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning
  • Width: 156 mm


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