Datadog Announces Network Device Monitoring to Monitor Any Environment, Anywhere | Datadog

Datadog Announces Network Device Monitoring to Monitor Any Environment, Anywhere

Datadog extends its network monitoring capabilities to provide visibility into on-premise data centers and hybrid-cloud network infrastructure

NEW YORKDatadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud  applications, announced today 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. 

“With Datadog Network Device Monitoring, we are now able to bring detailed information from  thousands of devices across our large-scale network into the Datadog platform alongside the  rest of our apps, services and other infrastructure,” said Rob Faria De Oliveira, Infrastructure  Operations Manager, Wayfair. “With everything now in a single tool, our Network Operations  Center is able to isolate and respond to issues faster than ever.”  

“We’re excited to invite network engineers into Datadog so they can monitor their critical  infrastructure in the same platform the rest of their teammates are already using,” said Ilan Rabinovitch, Senior Vice President, Product and Community, Datadog. “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.” 

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  

Datadog Network Device Monitoring is generally available today, and can be installed using the  Datadog Agent. For more information, please visit: http://www.datadoghq.com/blog/network-device-monitoring/ 

About Datadog 

Datadog is the monitoring and security platform for cloud applications. Our SaaS platform  integrates and automates infrastructure monitoring, application performance monitoring and log  management to provide unified, real-time observability of our customers’ entire technology  stack. Datadog is used by organizations of all sizes and across a wide range of industries to  enable digital transformation and cloud migration, drive collaboration among development,  operations, security and business teams, accelerate time to market for applications, reduce time  to problem resolution, secure applications and infrastructure, understand user behavior and  track key business metrics. 

Forward-Looking Statements 

This press release may include certain “forward-looking statements” within the meaning of  Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E  of the Securities Exchange Act of 1934, as amended, including statements on the anticipated  benefits of new products and features. These forward-looking statements reflect our current  views about our plans, intentions, expectations, strategies and prospects, which are based on  the information currently available to us and on assumptions we have made. Actual results may  differ materially from those described in the forward-looking statements and are subject to a  variety of assumptions, uncertainties, risks and factors that are beyond our control, including  those risks detailed under the caption “Risk Factors” and elsewhere in our Securities and  Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed  with the Securities and Exchange Commission on August 6, 2021, as well as future filings and  reports by us. Except as required by law, we undertake no duty or obligation to update any  forward-looking statements contained in this release as a result of new information, future  events, changes in expectations or otherwise.

Contact

David Chao

press@datadoghq.com