Datadog Integrates Its Cloud Monitoring Platform With OpenStack

Datadog today announced the integration of its cloud monitoring platform with OpenStack. As a result of the technology integration, customers can use Datadog’s technology to understand the health of OpenStack-based cloud deployments. The integration between Datadog and OpenStack is especially significant because OpenStack “is quickly becoming a preferred for private cloud environments” as noted by Amit Agarwal, Chief Product Officer of Datadog, in a press release. OpenStack administrators stand to benefit from Datadog’s out of the box capability to create dashboards that variously aggregate, synthesize and visualize the results of its metrics. Furthermore, OpenStack users can take advantage of Datadog’s advanced analytics for outlier detection that identify anomalies in host machine performance toward the end of preventing service degradation. The integration focuses on the Nova and Neutron components of the OpenStack platform, namely, the compute and networking components of OpenStack. More specifically, Datadog’s integration with OpenStack compute enables customers to access real-time data about the workload within a specific OpenStack environment, the number of VMs and instances, metrics about hypervisor performance and additional KPIs related to infrastructure performance such as RAM and CPU usage. Meanwhile, Datadog’s integration with OpenStack’s network management components features data collection about network performance in addition to Keystone, OpenStack’s Identity and Access Management service platform. The integration between Datadog and OpenStack gives the OpenStack community access to a powerful monitoring and data aggregation platform while Datadog stands to benefit by adding yet another major cloud platform to its venerable roster of supported cloud environments. As such, today’s announcement represents yet another step forward with respect to the onward march of contemporary cloud monitoring platforms and their ability to synthesize data from a multitude of cloud environments with increasing sensitivity and sophistication.

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