Dynatrace Provides AI-Powered Observability for the ARM Platform

Dynatrace has extended its observability capabilities to cloud and data center environments running on the Linux ARM platform. The enhancements to Dynatrace reflect increasing demand from enterprise IT teams for containers and microservices, as well as their growing adoption of ARM-based servers as a platform for cloud-native environments.

The Dynatrace platform now includes advanced observability for Linux running on the ARM 64-bit architecture, across infrastructure, networks, applications, containers and microservices, and including code-level visibility into application languages like Java, NGINX, and Node.js.

In addition, Dynatrace enables continuous automation spanning the full stack and without manual configuration—from discovery and instrumentation, to baselining, anomaly detection, root cause analysis, and auto-remediation. With these enhancements, Dynatrace adds to its extensive coverage for server architectures, which also includes Microsoft Windows, Linux x86/x64, AIX, PPCLE, Linux on Z, and z/OS.

According to Dynatrace, to avoid wasting time and resources on manual configuration, teams need continuous automation to self-discover and automatically instrument changes in their environment, and to capture all observability data in real time.

“In modern IT environments, containers, cloud applications, and microservices can come and go in seconds. Teams can’t waste time attempting to maintain observability,” said Steve Tack, SVP of product management, Dynatrace. “That’s why we’re extending Dynatrace’s advanced observability and continuous automation to environments running on ARM."

The Dynatrace AI engine, Davis, does not need to learn or be trained on the environment, because the entity map details what it needs to know. Davis then helps teams by providing precise answers in real time and prioritizing what matters, which reduces noise and enables people to focus on innovating instead of problem solving.