Dynatrace arms ARM with AI-observability 

One of the only technology companies to have managed to stage its annual developer/customer/user-fast successfully in 2020 before the onset of Covid-19 by virtue of staging its convention in January, Dynatrace is now aiming to deliver its software intelligence in the form of ‘advanced observability’ capabilities to cloud and datacentre environments running on the Linux ARM platform. 

The company says that these enhancements reflect increasing demand for containers and microservices.

Equally then, they also come about due to the growing adoption of ARM-based servers in cloud-native environments. 

To avoid wasting time and resources on manual configuration, Dynatrace says that IT teams need continuous automation to self-discover and automatically instrument changes in their environment.

This will also help them to capture all ‘observability data’ in real time.

Dynatrace uses cloud observability data to create and continuously update a complete entity map that helps create an accurate view of how everything in an IT environment is interconnected, including the millions or even billions of dependencies across the full stack. 

Entity maps route to innovation

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

“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.” 

Tack insists that unlike alternative solutions, that don’t support modern architectures or require special add-ons and manual effort to instrument and maintain, Dynatrace on ARM ‘just works’. 

“There’s no configuration or scripting required, and no need to know which apps or cloud platforms teams are running. Customers using Dynatrace on ARM experience the fast time to value they’ve come to expect from us,” added Tack.

Key enhancements to the Dynatrace platform include 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. 

Image Source: Dynatrace


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