Dynatrace Deepens Observability Links To AWS With New SCA

Stepped up integration and co-development efforts will allow users of the Dynatrace platform to better monitor IT infrastructure and applications – including AI workloads and LLMs – running on the AWS cloud.

AI-powered observability platform developer Dynatrace has struck a multi-year strategic collaboration agreement (SCA) with cloud hyperscaler Amazon Web Services that expands the two companies’ alliance across both technical and business dimensions.

The tighter integration between the Dynatrace and AWS platforms will provide joint customers with increased visibility into their AWS environments – including the rapidly growing number of artificial intelligence and generative AI applications, large language models and AI agents, according to the two companies.

Solution providers and global systems integrators (GSIs) that work with Dynatrace and AWS will benefit from the SCA by helping them more efficiently use the Dynatrace platform to monitor the performance of the AWS ecosystem, including infrastructure, security and applications, said Jay Snyder, Dynatrace senior vice president of partners and alliances, in an exclusive interview with CRN.

And the SCA will create expanded services opportunities for partners, he said.

“Some of our largest partners, whether they're value-added resellers or the GSIs, they also have large-scale cloud practices,” Snyder said. “So the tighter the integration we have with an AWS or an Azure or GCP [Google Cloud Platform], the better it is for them when they position us in the market, because there's more value and more outcomes that they can deliver for their customer.”

Dynatrace, headquartered in Waltham, Mass., is a leading company in the crowded observability space with its platform used to monitor, analyze and troubleshoot the operations and performance of on-premises, cloud, hybrid and edge computing IT systems.

About 80 percent of Dynatrace’s business is done in conjunction with the company’s partner ecosystem, Snyder said. The company has relationships with all three major cloud hyperscalers – including a relationship with AWS since 2014 – and about 40 percent of its commercial transactions are through the hyperscaler marketplaces.

Dynatrace already supports more than 100 AWS services, automatically assessing their performance and security within complex environments, the companies said. Dynatrace has also earned multiple AWS competencies and service validations.

Technical Cooperation

The new SCA, on the technical side, spells out how Dynatrace and AWS engineering teams will work more closely to more tightly link the two company’s platforms and product portfolios.

“If you think about how much an [IT] landscape might need to be traversed and where things could possibly go wrong with the complexity that exists in the environment today, having that deeper integration into some of these service packs allows us to really get to the root cause and get to answers more quickly, which is time to value, time to money, resource savings, all of those things,” Snyder said.

The extended technical integration between the Dynatrace and AWS platforms also meets the growing need for advanced AIOps capabilities.

“One of the key issues for us in the SCA is, specifically, a continued focus on AI and large language model observability capabilities. We're doing this in collaboration with AWS so that we can make sure we are on the leading edge for any GenAI application that they put out, and that we can manage and monitor those,” Snyder said, specifically pointing to the AWS Bedrock managed service for building and deploying generative AI applications.

“There are always two dimensions to me when we say ‘AI.’ Every customer today is developing more and more AI workloads, which creates a heavily complex environment. So we do have the ability to manage those AI workloads, and we can work in tandem with AWS to give [customers and partners] a full view into how those workloads are running,” Snyder said.

The second dimension is how Dynatrace has been building AI capabilities into its software “to make our platform more intelligent” and improve its predictive capabilities, according to the channel executive.

“Our customers are looking for ways to simplify their cloud operations while accelerating innovation. Through this multi-year strategic collaboration agreement with Dynatrace, we’re providing customers with AI-powered automation and comprehensive observability and insights that streamline their operational processes,” said Chris Grusz, AWS managing director, technology partnerships, in a statement. “This allows development teams to spend less time managing infrastructure and more time driving business growth.”

Beyond technology, the SCA also elevates the executive sponsorship level of the Dynatrace-AWS alliance and provides for more joint go-to-market efforts and joint salesforce enablement. The two companies also will develop more “sales plays” and use cases for the Dynatrace platform in AWS environments, according to Snyder.

“It’s taking our co-selling levels to the next tier,” he said.