Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning
By 作者:Craig Johnston
pages 页数: 528 pages
ISBN-10 : 1484256107
ISBN-13 : 9781484256107
Product Dimensions : 15.6 x 2.69 x 23.39 cm
Publisher Finelybook 出版社 : Apress; 1st ed. Edition (18 Sept. 2020)
Language 语言: : English
The Book Description robot was collected from Amazon and arranged by Finelybook
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, Airflow, Hive, Keycloak, Cassandra, MySQL, Zookeeper, Mosquitto, Elasticsearch, Logstash, Kibana, Presto, Mino, OpenFaaS, and Ethereum.
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