Advanced Platform Development with Kubernetes
Apress (Verlag)
978-1-4842-5610-7 (ISBN)
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.
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.
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.
| Erscheinungsdatum | 25.09.2020 |
|---|---|
| Zusatzinfo | 119 Illustrations, black and white; XV, 511 p. 119 illus. |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Schlagworte | Ethereum on Kubernetes • Kafka Kubernetes • Kubeflow • Kubernetes Data Science • Kubernetes Elasticsearch • Kubernetes for IoT • Kubernetes Ingress • Kubernetes managed blockahins • Machine Learning Automation • Machine Learning with Kubernetes • Microservices with Kubernetes |
| ISBN-10 | 1-4842-5610-7 / 1484256107 |
| ISBN-13 | 978-1-4842-5610-7 / 9781484256107 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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