Simplified IoT Operations With HiveMQ and Datadog
Watch the Webinar
Chapters
- 10:04 - Use Case description
- 11:33 - HiveMQ Enterprise Security Extension
- 12:09 - Permissions
- 13:17 - HiveMQ Enterprise Extension for Kafka
- 14:28 - Architecture
- 15:32 - Q&A
- 19:00 - Demo
- 44:30 - Summary
Webinar Overview
In an IoT system, it’s typical to have a large number of clients publishing messages to an MQTT broker. The MQTT broker transmits the messages to a range of backend databases or processing pipelines at any given moment. For ensuring availability and performance, the full observability of the MQTT brokers is paramount.
With Datadog’s HiveMQ integration, you can collect, visualize, and alert on key data including client connection activity and message throughput—correlated alongside metrics and events from all your other backend services.
In this webinar, Florian Raschbichler, Head of Support at HiveMQ, and Jimmy Caputo, Product Manager at Datadog, will demonstrate how Datadog can easily be used to monitor the activity of an IoT system based on HiveMQ.
Read our blog A Beginner's Guide to MQTT Brokers to learn how to set up a broker, how to choose the right one for your IoT/IIoT use case & more.
Florian Raschbichler
Florian Raschbichler is Director of Customer Services at HiveMQ, leading global IoT solution architecture and customer success. He writes about enterprise IoT, MQTT, and building high-impact technical teams.
Jimmy Caputo
Director of Product Management at Datadog. Product leader with demonstrated abilities to conceive, develop, and ship impactful business software - especially applications that help people use data to make better decisions.
