PART 02
Part II
Part II · Technology: Cloud-Native and AI-Agent Capabilities
On top of the platform base, this part adds software engineering (microservices, containers, DevOps), AI agents (Spring AI, tools, MCP, RAG, Agent Runtime), security, and standardization — completing the leap from a connectivity platform to an AI-native platform.
Part II · Technology: Cloud-Native and AI-Agent Capabilities
On top of the platform base, this part adds software engineering (microservices, containers, DevOps), AI agents (Spring AI, tools, MCP, RAG, Agent Runtime), security, and standardization — completing the leap from a connectivity platform to an AI-native platform.
Chapters in this part
- Chapter 6. IoT Software Development — From languages and communication styles into microservice architecture: service decomposition, containerization, and engineering collaboration, illustrated with IoT DC3 development practice.
- Chapter 7. AIoT and Agent Applications — From Spring AI, RAG, tools, and MCP into an industrial Agent Runtime — how probabilistic decisions are constrained by state, permissions, workflows, recovery, and audit into bounded autonomy.
- Chapter 8. IoT Security — Covers device identity, communication encryption, and data and privacy protection, then discusses the new security perimeter of the AI era: prompt injection, tool privilege escalation, and beyond.
- Chapter 9. IoT Protocols and Standards — From MQTT, CoAP, LwM2M, HTTP, and BLE to MCP and semantic interoperability — understanding which layer each protocol occupies, what it is responsible for, and when to choose it.