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Kaa IoT Platform Engineering : Definitive Reference for Developers and Engineers

"Kaa IoT Platform Engineering"

"Kaa IoT Platform Engineering" is an authoritative guide to building, deploying, and operating modern IoT solutions using the Kaa platform. The book opens with a thorough exploration of IoT architectural evolution, delving into the historical context, present-day trends, and Kaa’s unique positioning among leading platforms such as AWS IoT and Azure IoT Hub. Readers gain a comprehensive understanding of Kaa’s core architecture, extensibility, and release ecosystem, with a special emphasis on requirements gathering and the critical importance of security in the ever-expanding IoT landscape.

The depth of the book excels as it explores the technical foundation of the Kaa platform, from microservices-based design and resilient multi-tenancy deployment to device provisioning, endpoint SDKs, and edge gateway integration. Extensive chapters cover data collection pipelines, real-time telemetry, analytics integrations, and advanced topics like schema management, complex event detection, and regulatory compliance. Security is treated as a first-class concern throughout, detailing authentication strategies, device and data protection, incident response, and adherence to global standards such as GDPR and ISO 27001.

Bringing theory to practice, the book provides deployment blueprints for cloud-native, hybrid, and edge environments, enriched by case studies, performance benchmarks, and proven operational strategies. It equips engineers and architects with practical tools for scaling, automating, and maintaining Kaa-based IoT ecosystems. Complete with guidance on extension development, advanced application workflows, and community best practices, "Kaa IoT Platform Engineering" stands as an indispensable resource for professionals seeking to unlock the full potential of IoT deployments with enterprise-grade reliability and innovation.


Autor/a:

  • Richard Johnson

Formato:

  • E-book

Duración:

  • 263 páginas

Idioma:

Inglés

Categorías:

  • No ficción
  • Ciencias de la computación

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