Datadog network monitoring tool provides visibility to containers

Datadog has introduced Network Performance Monitoring to its cloud monitoring platform. Network Performance Monitoring gives engineers visibility into network connections and data flows across hosts, containers and services in cloud-scale environments.

Datadog, a monitoring and analytics platform for developers, delved into network monitoring with this cloud-first release to address blind spots typically experienced by engineering teams regarding the complex interdependencies between services, containers and hosts.

Network Performance Monitoring automatically analyzes network traffic between application components -- which typically requires time-consuming, manual analysis -- and visualizes interdependencies and application topology. By giving users an increased understanding of anomalous traffic patterns in application issues, the Datadog network monitoring offering minimizes accidental component removal or changes.

Gartner predicted, by 2022, 75% of global organizations will run containerized applications. The research firm identified container monitoring and network automation as essential practices when creating a container platform strategy.

Network Performance Monitoring is tied into the Datadog platform, enabling users to take advantage of previous tags, monitor network traffic and identify improvements across the platform, according to the vendor.

Datadog also claimed that Network Performance Monitoring meets the needs of both cloud-native customers and those in the process of migrating to the cloud.

While it is not yet generally available, users can request access to the beta version of Network Performance Monitoring.

In addition to the Datadog network monitoring tool, the vendor also introduced Real User Monitoring and Tracing without Limits at its annual Dash conference. Real User Monitoring provides insight into how users interact with web and mobile applications, and Tracing without Limits enables customers to search traces without sampling and store bad user experiences long term.