Datadog Network Performance Monitoring

Datadog Network Performance Monitoring (NPM) is a cloud-scale network traffic analysis and infrastructure observability solution engineered to give engineering and infrastructure teams real-time visibility into network connections, traffic volume, latency, and retransmits across cloud, on-premises, and hybrid environments. Utilizing cutting-edge eBPF technology, it inspects network traffic at the Linux kernel level with negligible CPU overhead.

The solution operates through the lightweight Datadog Agent, capturing granular point-to-point network flow data without requiring manual port mirroring or physical network taps. Key technical capabilities include automated network topology mapping, visibility into east-west traffic between containers, pods, hosts, and cloud availability zones, automated detection of network latency spikes and TCP retransmissions, DNS query performance tracking, and direct correlation between network flow telemetry and application traces in APM. Infrastructure engineers can immediately determine whether service slowdowns stem from network congestion or application code defects.

Cloud-native enterprises, digital banks, and high-scale SaaS providers deploy Datadog NPM to optimize multi-cloud routing, reduce cross-region egress data transfer costs, and troubleshoot distributed microservice communication failures. It integrates natively with Kubernetes, Docker, AWS, Azure, and Google Cloud. Common operational use cases include isolating network communication bottlenecks across Kubernetes clusters, auditing multi-cloud data transfer expenditures, monitoring DNS server response latencies, and resolving inter-service connectivity timeouts.