Asimov for IoT Event and Stream Processing (eBook, ePUB)
The Complete Guide for Developers and Engineers
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"Asimov for IoT Event and Stream Processing" "Asimov for IoT Event and Stream Processing" is a comprehensive guide designed for architects, engineers, and decision-makers seeking to master event-driven infrastructures and real-time analytics within the Internet of Things. With a foundation built on architectural principles, the book explores the nuances of event and stream processing specific to IoT environments-addressing the diversity, scale, and complexity of device-generated data. Readers are introduced to modern frameworks, protocols, and platform selection criteria, along with deep insig...
"Asimov for IoT Event and Stream Processing"
"Asimov for IoT Event and Stream Processing" is a comprehensive guide designed for architects, engineers, and decision-makers seeking to master event-driven infrastructures and real-time analytics within the Internet of Things. With a foundation built on architectural principles, the book explores the nuances of event and stream processing specific to IoT environments-addressing the diversity, scale, and complexity of device-generated data. Readers are introduced to modern frameworks, protocols, and platform selection criteria, along with deep insights into partitioning strategies that span edge, fog, and cloud, while rigorously considering security and privacy imperatives.
The core of the text is an in-depth exploration of the Asimov framework-an advanced platform purpose-built for event processing in large-scale IoT deployments. The chapters walk through Asimov's history, architecture, and distinguishing features, offering practical guidance on orchestrating workflows, integrating with device and protocol adapters, enforcing schema, and managing pipelines for high-throughput ingestion and normalization. Readers benefit from extensive coverage of developer tooling, deployment patterns, lifecycle management strategies, and best practices for building robust, scalable event-processing pipelines that incorporate advanced analytics and machine learning at both the edge and in the cloud.
Rounding out its scope, the book addresses the full operational lifecycle of Asimov deployments, including monitoring, observability, automated remediation, security, regulatory compliance, and case studies from diverse industrial and smart environments. With dedicated chapters on horizontal and vertical scaling, high-availability design, elasticity, and integration with broader data ecosystems, "Asimov for IoT Event and Stream Processing" is an invaluable resource for organizations driving innovation in IoT through intelligent, resilient, and future-ready event streaming solutions.
"Asimov for IoT Event and Stream Processing" is a comprehensive guide designed for architects, engineers, and decision-makers seeking to master event-driven infrastructures and real-time analytics within the Internet of Things. With a foundation built on architectural principles, the book explores the nuances of event and stream processing specific to IoT environments-addressing the diversity, scale, and complexity of device-generated data. Readers are introduced to modern frameworks, protocols, and platform selection criteria, along with deep insights into partitioning strategies that span edge, fog, and cloud, while rigorously considering security and privacy imperatives.
The core of the text is an in-depth exploration of the Asimov framework-an advanced platform purpose-built for event processing in large-scale IoT deployments. The chapters walk through Asimov's history, architecture, and distinguishing features, offering practical guidance on orchestrating workflows, integrating with device and protocol adapters, enforcing schema, and managing pipelines for high-throughput ingestion and normalization. Readers benefit from extensive coverage of developer tooling, deployment patterns, lifecycle management strategies, and best practices for building robust, scalable event-processing pipelines that incorporate advanced analytics and machine learning at both the edge and in the cloud.
Rounding out its scope, the book addresses the full operational lifecycle of Asimov deployments, including monitoring, observability, automated remediation, security, regulatory compliance, and case studies from diverse industrial and smart environments. With dedicated chapters on horizontal and vertical scaling, high-availability design, elasticity, and integration with broader data ecosystems, "Asimov for IoT Event and Stream Processing" is an invaluable resource for organizations driving innovation in IoT through intelligent, resilient, and future-ready event streaming solutions.
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