Datadog Releases Network Device Monitoring
November 04, 2021
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Datadog announced the general availability of Network Device Monitoring.

This new product enables network engineers to monitor servers, routers, switches and firewalls in data centers, as well as access points in campus and branch office networks, directly from the Datadog platform.

Maintaining either an entirely on-premise or hybrid environment is critical to the success of many businesses. For instance, some companies have made capital investments into data centers for security reasons, or have decided to run large static workloads, while others must execute their critical business processes as close to the edge as possible to ensure minimal latency. On-premise infrastructure can contain thousands of network appliances, and any one of them can be a point of failure. This makes it extremely important to employ a monitoring strategy that provides full visibility into every network component.

Network Device Monitoring enables network engineers to isolate the exact source of slow network communication. Teams are able to collect, report, and deliver alerts based on telemetry data such as saturated switch ports, drops in connections through a firewall or circuit failures. Network Device Monitoring is built on top of Datadog’s Infrastructure Monitoring product, enabling network engineers to leverage machine learning algorithms, such as anomaly and outlier detection, to proactively alert before customers ever experience any change at all.

“We know that hybrid cloud is the future, and having visibility into every infrastructure component that your applications communicate across is critical in maintaining a modern, healthy business.” said Ilan Rabinovitch, SVP, Product and Community, Datadog.

Datadog Network Device Monitoring enables organizations to:

- Monitor the health and performance of any on-premise or hybrid network, regardless of its scale

- Proactively detect and resolve network issues with machine learning-powered alerts, including outlier detection, anomaly detection and forecasting

- Reduce MTTR by getting deep visibility into every infrastructure component and quickly pinpointing where problems may have occurred

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