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Advanced Platform Development with Kubernetes - Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning (Paperback, 1st ed.)
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Advanced Platform Development with Kubernetes - Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning (Paperback, 1st ed.)
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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. 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 Who This Book Is For System and
software architects, full-stack developers, programmers, and DevOps
engineers with some experience building and using containers. This
book also targets readers who have started with Kubernetes and need
to progress from a basic understanding of the technology and "Hello
World" example to more productive, career-building projects.
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