Dynatrace introduces Software Intelligence support for Google Cloud Platform

Dynatrace support to cover Google Compute Engine, Google Kubernetes Engine and Google App Engine to enable automated IT Operations.

Software intelligence company, Dynatrace, has introduced at Google Cloud Next 2018, automated support for Google Cloud Platform (GCP) environments. With this announcement, operations teams can extend the scope of the Dynatrace platform to workloads in Google Cloud, eliminating manual and siloed monitoring of independent Kubernetes clusters, and enabling automatic AI-assisted answers to performance problems across GCP workloads.

 

“Historically, due to the complexity of enterprise cloud environments, monitoring solutions for GCP have operated in siloes, focusing only on Kubernetes clusters or workloads independently. This has rendered organizations unable to understand how performance problems within one application or container may be impacting the performance of others. As a result, enterprises can easily overlook performance issues that put the software performance at risk,” said Alois Reitbauer, VP, Chief Technology Strategist, Dynatrace.

 

Dynatrace is one of the only solutions that provides out-of-the-box distributed tracing for Kubernetes and Google App Engine stacks as well as full-stack Kubernetes Container Optimized OS support. These capabilities enable deeper insights into all areas of GCP environments, in turn allowing businesses to quickly troubleshoot performance issues, optimize container workloads and more efficiently scale cloud operations.

 

The new capabilities also provide anomaly detection and problem causation determination based on Dynatrace’s AI engine, to augment the metrics that are natively provided in Google Cloud by Stackdriver. As a result, businesses can gain a holistic understanding of the health of their increasingly complex IT environment more easily.

 

“GCP is becoming an integral part of enterprise cloud strategies, with adoption increasing 100 percent year-over-year. We’re seeing this growth within our customer base, driven largely in part by the increase in Kubernetes and Cloud Native Computing Foundation projects,” said Alois Reitbauer, VP, Chief Technology Strategist, Dynatrace. “But as businesses migrate to these platforms, they’re faced with extremely complex, distributed environments that are challenging to monitor. We are unique in our ability to cater to both cloud-native stacks, and traditional hybrid cloud stacks, providing a single all-in-one platform with precise AI-assisted answers.”

 

With this announcement Dynatrace extends its automated support to all major cloud environments,  including GCP, Microsoft Azure, AWS, Red Hat OpenShift, Pivotal Cloud Foundry and all other leading cloud and container technologies.
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