Connect devices, collect trustworthy data, and turn signals into action. Cloud for IoT: Powering Connected Devices is a practical field guide for engineers, product teams, and platform owners who want repeatable patterns for ingesting, processing, and operating IoT systems at scale. You'll move from device constraints and gateway design through reliable ingestion, schema and partitioning strategies, stream processing, and ML-enabled analytics. The book focuses on operational realities-security by design, over-the-air ...
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Connect devices, collect trustworthy data, and turn signals into action. Cloud for IoT: Powering Connected Devices is a practical field guide for engineers, product teams, and platform owners who want repeatable patterns for ingesting, processing, and operating IoT systems at scale. You'll move from device constraints and gateway design through reliable ingestion, schema and partitioning strategies, stream processing, and ML-enabled analytics. The book focuses on operational realities-security by design, over-the-air updates, intermittent connectivity, cost-aware storage, and playbooks for testing and incident response-so teams can deliver features that work in the real world. What you'll learn Choose protocols and topologies: MQTT, AMQP, HTTP, WebSockets, and gateway patterns Design reliable ingestion: buffering, batching, backpressure, and exactly-once semantics Model telemetry: schemas, time-series partitioning, metadata, and tiling for imagery/sensor arrays Process streams: windowing, stateful operators, and late-arrival handling for real-time rules and ML features Secure the stack: device identity (certs/TPM), mutual TLS, key rotation, and least-privilege access Manage fleets: OTA updates, device lifecycle, provisioning, and device twins/digital twins Store and serve efficiently: hot/warm/cold paths, retention, and cold-archive strategies for long-term analytics Observe and operate: fleet health dashboards, anomaly alerts, root-cause playbooks, and drill readiness Integrate ML: edge inference vs cloud training, feature pipelines, and model deployment patterns Control costs and scale: edge vs cloud tradeoffs, bandwidth shaping, and tiered processing Who it's for IoT engineers, platform teams, SREs, data engineers, and product managers building connected-device solutions that must be secure, observable, and cost-effective. What's inside Reference architectures, protocol decision trees, IaC snippets, example stream-processing jobs, security checklists, OTA recipes, readiness runbooks, and templates for pilot-to-production rollouts.
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Add this copy of Cloud for IoT Powering Connected Devices: Use cloud to cart. $13.68, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
