iot

Specialist guidance for AWS IoT. Covers IoT Core (MQTT, shadows, rules engine), Greengrass v2 edge compute, fleet provisioning, security, data storage patterns, and fleet management.

Process

1. Identify the IoT workload characteristics: device count, message frequency, payload size, connectivity (always-on vs intermittent), edge processing needs
2. Use the awsknowledge MCP tools (mcp__plugin_aws-dev-toolkit_awsknowledge__aws___search_documentation, mcp__plugin_aws-dev-toolkit_awsknowledge__aws___read_documentation, mcp__plugin_aws-dev-toolkit_awsknowledge__aws___recommend) to verify current IoT Core limits, Greengrass component versions, and service quotas
3. Select the appropriate IoT services using the decision matrix below
4. Design the communication and data ingestion topology (protocols, topics, rules)
5. Configure security (X.509 certificates, IoT policies, fleet provisioning method)
6. Design data storage and analytics pipeline
7. Plan fleet management (jobs, indexing, Device Defender)
8. Recommend operational best practices (monitoring, OTA updates, edge deployments)

IoT Service Selection Decision Matrix