Edge Monitoring

Enabling digital transformation with edge computing

Edge devices have enormous potential to help businesses modernize their operations. Whether they're driving smart factory processes or improving the efficiency of transportation routes, these devices give companies the insight they need to improve productivity and proactively address any mechanical slowdowns and failures. As businesses become more dependent on edge fleets, they can use Datadog to ensure the reliability and performance of each device—and correlate edge monitoring data with application logs, business metrics, and more.

We've been thrilled with the performance and scalability of the Datadog IoT Agent—it has lifted a huge burden off our team's shoulders, as we no longer have to develop or manage custom IoT monitoring infrastructure. Datadog gives us a single source of truth for diagnosing errors and even helps us proactively flag problems.

Harris Lummis
CTO, Automotus

Perform predictive maintenance and analytics

Edge devices provide companies with a streamlined way to collect real-time health and performance data from their machines. But before deploying sensors to their machinery, organizations must establish a contingency plan for detecting and resolving unexpected issues in order to minimize the impact on their business.

Industrial companies turn to Datadog to ensure that their sensors are always connected, performant, and transmitting data from edge to cloud effectively. This comprehensive monitoring approach helps companies address the operational challenges of managing edge fleets. For example, as devices move from location to location, they can trigger false positive alerts that are associated with fleeting changes in temperature. Datadog's anomaly detection monitors use machine learning to distinguish between normal and abnormal values of metrics—and only trigger alerts for issues that are worthy of investigation.

Optimize daily operations with context-rich data

Transportation companies like Maersk can use the data coming from their edge devices to optimize the cargo loading process, track the location of their cargo, and pinpoint the most efficient transportation routes. But it can be difficult to maximize the value of this data without a sophisticated way to dissect and analyze it.

Datadog's standardized tagging system gives teams the ability to drill down into their edge data across any dimension, whether it's a specific firmware version, hardware type, or location. These context-rich insights help organizations improve their daily processes and allow edge fleet operators to troubleshoot and resolve problems with individual devices.

Get a complete view of distributed edge fleets

Edge devices are crucial to the daily operations of the companies that rely on them, but they also produce massive volumes of data. As a result, companies are often forced to limit the amount of data they collect and analyze, which makes it difficult for them to see the whole picture.

Datadog's Logging without Limits™ enables companies to monitor all of their edge logs cost-effectively, without any visibility tradeoffs. They can also generate metrics from logs to quickly surface and visualize trends in operations at the edge. And with Datadog, companies can analyze edge monitoring data alongside metrics, traces, and logs from across their stack, allowing them to get deep insight into business-critical operations and ensure the uptime of their globally distributed edge fleets.