MQTT and Mosquitto for IoT and Industrial Data Integration

Module 1: MQTT concepts and vocabulary

• Publish or subscribe model and why MQTT fits IoT
• Topics, wildcards, QoS levels, sessions, retain, last will
• Payload formats overview such as JSON, binary, and Protobuf

Module 2: Mosquitto broker fundamentals

• Broker roles, listeners, persistence options, and configuration files
• Client tooling for quick checks and message inspection
• Retained messages and clean session choices in practice

Module 3: Topic and payload design

• Topic naming for devices, sites, and product lines
• Encoding choices and schema discipline for compatibility over time
• Metadata in headers or properties and simple correlation patterns

Module 4: Reliability patterns

• Idempotency, duplicate delivery handling, and ordering expectations
• Offline devices, reconnect behavior, and backoff strategies
• Birth and death messages and simple health signaling

Module 5: Security basics with Mosquitto

• TLS in transit, server certificates, and client certificates
• Authentication options such as password files and plugins
• Authorization with ACLs and least privilege topic access

Module 6: Operations and monitoring

• Logs, metrics, and useful health indicators
• Capacity basics such as connections, inflight, and retained storage
• Backup of configuration and safe change procedures

Module 7: Edge to cloud patterns

• Bridges between brokers and when to use them
• Site to cloud routing, filtering, and bandwidth awareness
• Simple store and forward on constrained links

Module 8: Industrial integration scenarios

• Gateway patterns to PLC or SCADA or historian systems
• Data shaping for time series databases and event hubs
• Handling device identity, provisioning, and version notes

Module 9: From MQTT to processing systems

• Subscribing services and workers for transformation and enrichment
• Writing MQTT data to databases and data lakesEvent triggers and alerting with lightweight rules

Module 10: Protocols and conventions

• Sparkplug principles in plain language and when to consider it
• Mapping device models and units for consistent analytics
• Multitenancy considerations across teams and plants

Module 11: Troubleshooting playbook

• Common connection issues and wildcard surprises
• QoS misconfiguration and retain related pitfalls
• Step by step checks for broker, client, and network layers

Module 12: Governance and readiness checklist

• Naming standards, schema versioning, and documentation
• Access reviews, audit basics, and privacy considerations
• Minimal runbook for handover to operations