Network Monitoring

Datadog CNM gave us immediate visibility into all our Kubernetes cluster traffic. As soon as a new cluster is spun up, we can see if pods communicate as expected and if internal DNS is doing its job.

Miguel Mingorance

Systems Engineer at Delivery Hero

With Datadog NDM we now have detailed information from thousands of devices across our large-scale network inside the Datadog platform, helping our NOC teams isolate and respond to issues faster than ever.

Robert Faria De Oliveira

Infrastructure Operations Manager at Wayfair

We really like how Datadog's CNM product is tied into the rest of the platform. Being able to monitor network traffic all the way down to our containers with Datadog has helped us identify improvements and optimizations across our platform.

Brent Montague

Principal SRE at Cvent

With Datadog CNM, we can quickly determine if our network is at fault for slow traffic or low connectivity before our applications are affected, so that insuring travel is a seamless experience for our customers.

Alex Kanevsky

Lead Architect at Generali Global Assistance

Feature Overview

With Datadog Network Monitoring, you can unify your network view across multi-cloud, hybrid, and on-premises environments. You can quickly correlate across applications, networks, devices, and infrastructure, and remediate issues effectively with intelligent insights and alerting.

Network Monitoring Capability Map

Cloud Network Monitoring (CNM)

Correlate application, infrastructure, and network monitoring data
Get visibility into traffic data between modern cloud-native microservices
Monitor connectivity performance across cloud & on-premises endpoints

Cloud Network Monitoring &
Network Device Monitoring

Gain a hop-by-hop view of hybrid network traffic in a single pane of glass
Correlate NetFlow traffic to the infrastructure & applications responsible for the connection
Pivot from service-level communication to underlying physical network devices

Network Device Monitoring (NDM)

Unify monitoring data across all physical and virtual network devices
Achieve comprehensive WAN and hybrid network visibility with extensive vendor coverage
Accelerate MTTR with correlation between NetFlow traffic & device metrics

Cloud Hybrid On-Prem

Cloud Network Monitoring
Network Device Monitoring

Correlate applications, infrastructure, and networks faster

Quickly pinpoint network issues by visualizing the hop-by-hop path taken by traffic between applications across cloud, physical, and wide area networks
Accelerate investigations by seamlessly pivoting between inter-application traffic and the corresponding underlying infrastructure traffic
Improve MTTR by identifying intermediate hop metrics, latency, and packet loss details within the traffic path
Track and alert on service-to-service interactions and metrics to monitor network performance between two applications

Built for hybrid multi-cloud and on-premises environments

Remediate incidents efficiently by consolidating traffic monitoring between any two endpoints at the service, pod, cluster, or host-level, across on-premises, hybrid, and cloud environments
Avoid tool switching by getting visibility into modern infrastructure and applications, including containers, serverless, cloud services, and virtual machines in a single pane of glass
Prove network innocence by tracking connectivity to 3rd party cloud services and internet endpoints for complete network awareness
Trace multi-cloud network issues with comprehensive visibility across all major cloud providers

Focus remediations with intelligent insights and alerting

Track and receive alerts on abnormal network states by creating monitors and dashboards from network metrics using Datadog’s advanced tags
Optimize cloud spend by identifying top talkers across your network and the teams responsible for that traffic
Secure your network by identifying DNS traffic being sent to suspicious domains
Effectively root-cause network problems by easily scoping and grouping traffic flows by unified tags

Product Brief: Cloud Network Monitoring

Learn how to unify network visibility across your clouds, applications, and devices

Get the Product Brief

Built for hybrid multi-vendor environments

Reduce tool sprawl by gaining visibility into any device on any network, including on-premises, SD-WAN, and wireless devices, through SNMP metrics, SNMP Traps, APIs, NetFlow, and syslogs
Automatically discover and gather insights from devices across any vendor, including Juniper, Cisco, Meraki, F5, Arista, and Aruba, and many more to get comprehensive inventory of your network
Leverage out-of-the-box dashboards to correlate across critical signals, device and interface performance, network traffic, and overall site health, all in one consolidated place
Effortlessly discover devices and monitor networks of any size with our scalable, open-source, SaaS-based agent

Investigate issues faster with deeper network and device insights

Drill down to investigate interface performance with a single click, and easily investigate across all network signals including metrics, SNMP Traps, NetFlow traffic, and syslogs
Detect and resolve network issues faster with real-time alerts that highlight problems across your entire stack, anomalies to quickly spot malfunctioning devices, and forecast future bandwidth
Gain a bird’s-eye view of your network’s physical connections, device issues, and their upstream/downstream impacts through automatic device topology map visualizations
Correlate network and application issues to enhance team collaboration, reduce finger-pointing, and boost MTTR

Take action with high context traffic flow visibility

Identify top contributors of network congestion, pinpoint traffic bottlenecks, and understand what is saturating a particular interface
Verify the legitimacy of network traffic and identify unusual network patterns across applications, geographies, cloud providers, and domains sending or receiving traffic across your network
Collect and analyze traffic flows with insights into any flow variants such as NetFlow v5, NetFlow v9, IPFIX, sFlow, and jFlow
Slice and dice traffic flows by sources, destinations, ports, protocols and applications, and correlate this data with host and application data to understand the impact of network traffic