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.
