Borrow it
Coverart for item
The Resource 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, Craig Johnston

Creator
Author
Summary
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. You'll 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. You'll 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. What You'll Learn · Configure and install Kubernetes and k3s on vendor-neutral platforms, including generic virtual machines and bare metal · Implement an integrated development toolchain for continuous integration and deployment · Use data pipelines with MQTT, NiFi, Logstash, Kafka and Elasticsearch · Install a serverless platform with OpenFaaS · Explore blockchain network capabilities with Ethereum · Support a multi-tenant data science platform and web IDE with JupyterHub, MLflow and Seldon Core · Build a hybrid cluster, securely bridging on-premise and cloud-based Kubernetes nodes
Language
eng
Work
Publication
Extent
1 online resource
Note
Includes index
Contents
  • Chapter 1: Software Platform and the API
  • Chapter 2: DevOps Infrastructure
  • Chapter 3: Development Environment
  • Chapter 4: In Platform CI/CD
  • Chapter 5: Pipeline
  • Chapter 6: Indexing and Analytics
  • Chapter 7: Data Lakes
  • Chapter 8: Data Warehouses
  • Chapter 9: Routing and Transformation
  • Chapter 10: Platforming Blockchain
  • Chapter 11: Platforming AIML
Isbn
9781484256114
Instance
Label
Advanced platform development with Kubernetes : enabling data management, the internet of things, blockchain, and machine learning
Title
Advanced platform development with Kubernetes
Title remainder
enabling data management, the internet of things, blockchain, and machine learning
Statement of responsibility
Craig Johnston
Creator
Author
Subject
Language
eng
Summary
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. You'll 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. You'll 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. What You'll Learn · Configure and install Kubernetes and k3s on vendor-neutral platforms, including generic virtual machines and bare metal · Implement an integrated development toolchain for continuous integration and deployment · Use data pipelines with MQTT, NiFi, Logstash, Kafka and Elasticsearch · Install a serverless platform with OpenFaaS · Explore blockchain network capabilities with Ethereum · Support a multi-tenant data science platform and web IDE with JupyterHub, MLflow and Seldon Core · Build a hybrid cluster, securely bridging on-premise and cloud-based Kubernetes nodes
Member of
Cataloging source
SFB
http://library.link/vocab/creatorName
Johnston, Craig
Dewey number
004
Index
index present
LC call number
QA76.76.A65
LC item number
J64 2020
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/subjectName
  • Application software
  • Computer networks
  • Open source software
  • Computer programming
  • Network hardware
  • Computer programming / software development
  • Information technology: general issues
  • Computers
  • Computers
  • Computers
  • Application software
  • Computer networks
  • Computer programming
  • Open source software
Label
Advanced platform development with Kubernetes : enabling data management, the internet of things, blockchain, and machine learning, Craig Johnston
Instantiates
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1: Software Platform and the API -- Chapter 2: DevOps Infrastructure -- Chapter 3: Development Environment -- Chapter 4: In Platform CI/CD -- Chapter 5: Pipeline -- Chapter 6: Indexing and Analytics -- Chapter 7: Data Lakes -- Chapter 8: Data Warehouses -- Chapter 9: Routing and Transformation -- Chapter 10: Platforming Blockchain -- Chapter 11: Platforming AIML
Control code
1202483901
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781484256114
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 10.1007/978-1-4842-5611-4
  • 10.1007/978-1-4842-5
http://library.link/vocab/ext/overdrive/overdriveId
cl0501000168
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1202483901
Label
Advanced platform development with Kubernetes : enabling data management, the internet of things, blockchain, and machine learning, Craig Johnston
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1: Software Platform and the API -- Chapter 2: DevOps Infrastructure -- Chapter 3: Development Environment -- Chapter 4: In Platform CI/CD -- Chapter 5: Pipeline -- Chapter 6: Indexing and Analytics -- Chapter 7: Data Lakes -- Chapter 8: Data Warehouses -- Chapter 9: Routing and Transformation -- Chapter 10: Platforming Blockchain -- Chapter 11: Platforming AIML
Control code
1202483901
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781484256114
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 10.1007/978-1-4842-5611-4
  • 10.1007/978-1-4842-5
http://library.link/vocab/ext/overdrive/overdriveId
cl0501000168
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1202483901

Subject

Member of

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125

Library Links

Structured data from the Bibframe namespace is licensed under the Creative Commons Attribution 4.0 International License by University of Missouri Libraries. Additional terms may apply to data associated with third party namespaces.
Processing Feedback ...