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

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

by Craig Johnston
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Book cover type: Paperback
  • ISBN13: 9781484256107
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Publication Date:
  • Pages: 25
  • Original Price: EUR 64.99
  • Language: English
  • Edition: N/A
  • Item Weight: 731 grams
  • BISAC Subject(s): Data Science / General, Networking / Hardware, and Programming / Open Source

From the Back Cover
Learn how to leverage Kubernetes for early adoption of emerging technologies. Kubernetes has become the most popular and, often considered, the most robust container orchestration system available today. With a vast number of features and capabilities that extend far beyond the simple execution of containerized applications, Kubernetes is the future of enterprise platform development. This book focuses on the Internet of Things, Blockchain, and Machine Learning as the industries currently leveraging the capabilities of Kubernetes.
Advanced Platform Development with Kubernetes takes you through the process of building software platforms with these in-demand capabilities. You'll progress through the development of data processing pipelines, event queues and indexing large volumes of raw data and metrics. Each concept is demonstrated through examples using Apache Kafka for real-time event data, Ethereum for Blockchain capabilities, Elasticsearch for data indexing, Logstash to route and transform data, Prometheus and Loki to aggregate metrics and Grafana for metrics visualization.
The book uses Golang to demonstrate interactions with the Kubernetes API, support Python and an assortment of languages implemented in Serverless Functions, and then ties these concepts together with a data science layer for machine learning with Kubeflow. The examples and exercises throughout teach Kubernetes through the lens of platform development and express the power and flexibility of Kubernetes in clear and pragmatic examples. Discover why Kubernetes is an excellent choice for any individual or organization looking to embark on developing a successful software platform.
You will:

  • Configure Kubernetes to support common platform requirements, including resource management and security
  • Develop a development toolchain for continuous integration and deployment
  • Use data pipelines with Logstash, Kafka and Elasticsearch
  • Apply a Serverless platform with OpenFaaS and Kubeless
  • Leverage Blockchain capabilities with Ethereum and Hyperledger
  • Implement a data science platform with Kubeflow
  • Extend Kubernetes with Custom Resource Definitions and command line utilities

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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