Internet of Things (IoT) monitoring

Monitor the performance, availability, and health of your IoT devices through a single all-in-one platform powered by AI

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What is IoT monitoring?

Internet of Things (IoT) monitoring is the process of discovering, monitoring, and managing your connected devices. IoT monitoring analyzes data, provides insights, informs you of any issues affecting the business, and provides actionable answers for all your connected devices.

Massive complexity and scale

IoT ecosystems are complex, with many moving parts and huge amounts of data. Traditional or homegrown monitoring approaches cannot scale or provide insights in these environments.
Here’s why:

Complexity

69%

of CIOs predict that IoT complexity will become a major performance management burden.
Severe impacts

74%

application topology changes are already processed by Dynatrace per day.
User experience

69%

of CIOs fear losing control over the user experience as the IoT delivery chain continues to become more convoluted.

Intelligent IoT monitoring from the edge to the core

Tame the complexity of IoT

Gain full-stack observability and control with end-to-end monitoring, including edge devices and hybrid IoT cloud solutions.
Use AI for reliable IoT performance

Leverage AI-driven big data analytics for automated fault detection, root-cause analysis, and auto-remediation.
Deliver unrivalled user experience

Ensure perfect experiences by seeing every customer journey as they interact with novel interfaces like smart speakers, mobile devices, and wearables.

Dynatrace is built for multicloud and dynamic microservices. Our software intelligence extends to every single one of your cloud platforms and their IoT services.

Observability from the edge to the core

A single view across your entire IoT multicloud ecosystem. From the performance of your IoT platform, the edge devices, and the experience of all users, Dynatrace sees it all.

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AI-powered answers and reliability

Leverage AI-driven big data analytics for automated fault detection, root cause analysis and auto-remediation.

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From mobile devices to smart speakers

Gain full observability into all activity across novel IoT interfaces; analyze user data in real-time to assess satisfaction, detect struggles and proactively predict and influence next steps in their IoT experience.