IoT Observability: Enabling Real-time MQTT Message Tracking Across an IoT Environment
Watch the Webinar
Chapters
- 00:00 - Introduction
- 03:45 - Observability for IoT
- 11:23 - What is Distributed Tracing
- 19:24 - Live Demo of distributed tracing for MQTT data streams
- 34:26 - Q&A
Webinar Overview
Previously, it was impossible to trace MQTT data from device to cloud. Experts could do a trace recording activity after the fact, but not in real-time. HiveMQ has solved this problem now.
With HiveMQ’s upcoming OpenTelemetry integration, you can trace and debug MQTT data streams between devices and cloud service providers in real-time. With this, MQTT data is instrumented inside the solution to give you the flexibility to:
Enhance customer experience and support by minimizing resolution time.
Find opportunities to make your IoT applications more productive and resilient.
Unlock value from your APM investments by deeper engagement with the MQTT broker.
Watch this webinar to learn how IoT Observability can add game-changing capabilities to your IoT environment.
Ryan Bateman
Ryan is the Senior Product Manager for Tools & Extensions at HiveMQ. He is a leader, manager, and technologist with 20 years of experience in software product and a strong technical background in mobile, enterprise web-applications, and IoT. Ryan is building out a strategy of integration and expansion to best solve customers' machine-to-machine communication problems.
Gaurav Suman
Gaurav Suman, Director of Product Marketing at HiveMQ, has over a decade of experience in roles like Solutions Architect and Business Development Manager. His journey includes launching market-first products and achieving a 2X revenue increase in the past year. Eager to connect with industry peers, Gaurav pushes the boundaries of what Product Marketing can achieve for businesses.
