The Dynatrace observability platform steps into AI – News

The observability platform has a new role in the artificial intelligence landscape, preventing mistakes before they happen.

Dynatrace LLC, an AI-powered observability platform, sees itself as a key component in the checks and balances system of AI. Not only can observability tools validate the results of AI models and predict where a system might break, but they can ensure the system never breaks in the first place, according to Rick McConnell (pictured), chief executive officer of Dynatrace.

“How do you do that?” he said. “You do that through … an ecosystem of agents that can take input from Dynatrace based on the billions of interconnected data points that we see, evaluate what’s happening, anticipate issues and then auction out to a series of other agents. The objective is to deliver software that works perfectly.”

McConnell spoke with Dave Vellante at AWS re:Invent, during an exclusive broadcast on theCUBE, News Media’s livestreaming studio. They discussed the evolution of observability platforms and Dynatrace’s role in the new AI ecosystem. (* Disclosure below.)

Striving for an end-to-end observability platform

Dynatrace has been investing in an end-to-end observability consolidation play. That encompasses the data level, represented by Dynatrace’s Grail data lakehouse; the domain level, an AI engine that provides analytics based on that data store; and the persona level, which is full integration across development, IT teams and site reliability teams. The goal is to observe, monitor and manage an increasingly complex system fueled by AI, McConnell explained.

“You see an explosion of data and massive increase in data complexity,” he said. “You can’t manage that manually. You must have a sophisticated AI-powered observability tool to be able to do that. If you have multiple siloed independent tools, it just doesn’t deliver that. You want to consolidate that drive toward end-to-end observability.”

Dynatrace’s platform oversees AI observability, determining the accuracy of model and software results. It also supports business observability, which focuses on making a company’s physical operations as efficient and functional as possible, according to McConnell.

“Dynatrace’s superpower has been to deliver answers, not guesses,” he said. “We can tell you precisely what is happening, what’s gone wrong and how to get it fixed. When you have hundreds of apps … with a substantial amount of infrastructure and users around the planet, these are the kinds of things that essentially disallow working with individual workloads. What you want to see is … an automated engagement in that process.”

Here’s the complete video interview, part of News’s and theCUBE’s coverage of AWS re:Invent:

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