advanced platform development kubernetes von johnston craig (18 Ergebnisse)

Paperback or Softback. Zustand: New. Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning 1.61. Book.

Zustand: New.

Zustand: New.

Zustand: New. pp. 375.

Zustand: New. pp. 375.

Zustand: As New. Unread book in perfect condition.

Zustand: New. pp. 375.

Zustand: New. In.

Zustand: As New. Unread book in perfect condition.

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PF. Zustand: New.

Paperback. Zustand: Brand New. 511 pages. 9.00x6.25x1.00 inches. In Stock.

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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Implement in-demand capabilities and trending technology, such as IoT, blockchain, and machine learning, in a data-driven platformDevelop a foundational, working platform, ingesting data from the Internet of Things expose.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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. Yoüll 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 LearnConfigure and install Kubernetes and k3s on vendor-neutral platforms, including generic virtual machines and bare metalImplement an integrated development toolchain for continuous integration and deploymentUse data pipelines with MQTT, NiFi,Logstash, Kafka and ElasticsearchInstall a serverless platform with OpenFaaSExplore blockchain network capabilities with EthereumSupport a multi-tenant data science platform and web IDE with JupyterHub, MLflow and Seldon CoreBuild a hybrid cluster, securely bridging on-premise and cloud-based Kubernetes nodesWho This Book Is ForSystem 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.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 528 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 Kubernetestakes 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 LearnConfigure and install Kubernetes and k3s on vendor-neutral platforms, including generic virtual machines and bare metalImplement an integrated development toolchain for continuous integration and deploymentUse data pipelines with MQTT, NiFi, Logstash, Kafka and ElasticsearchInstall a serverless platform with OpenFaaSExplore blockchain network capabilities with EthereumSupport a multi-tenant data science platform and web IDE with JupyterHub, MLflow and Seldon CoreBuild a hybrid cluster, securely bridging on-premise and cloud-based Kubernetes nodesWho This Book Is ForSystem 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. 528 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 Kubernetestakes 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 LearnConfigure and install Kubernetes and k3s on vendor-neutral platforms, including generic virtual machines and bare metalImplement an integrated development toolchain for continuous integration and deploymentUse data pipelines with MQTT, NiFi,Logstash, Kafka and ElasticsearchInstall a serverless platform with OpenFaaSExplore blockchain network capabilities with EthereumSupport a multi-tenant data science platform and web IDE with JupyterHub, MLflow and Seldon CoreBuild a hybrid cluster, securely bridging on-premise and cloud-based Kubernetes nodesWho This Book Is ForSystem 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.

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 801.