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Dynatrace Expands Partnership with AWS

Dynatrace announced an expanded strategic partnership with Amazon Web Services (AWS).

Dynatrace will work with AWS to align on new product and solution development and enhance their go-to-market partnership with joint activities such as events, sponsorships, and customer solutions workshops. As a result, organizations around the world will benefit from easier access to the Dynatrace Software Intelligence Platform through the AWS Marketplace, so they can deliver flawless and secure digital experiences.

This announcement builds on existing strategic collaboration between Dynatrace and AWS, in which the two companies have achieved the following:

- The Dynatrace platform supports more than 100 AWS services, including AWS Lambda and Amazon Elastic Kubernetes Service (EKS). This enables organizations to automatically assess the performance and security of all applications, the underlying infrastructure, and the experience of all users, even in the most complex, heterogeneous environments.

- Dynatrace has achieved many competencies as part of the AWS Competency Program, including AWS Migration & Modernization, AWS Machine Learning in Applied AI, AWS Government, AWS Containers, and AWS DevOps competencies.

“Our collaboration with Dynatrace allows our joint customers to accelerate modernization and achieve their digital transformation goals,” said Matt Garman, SVP of Sales and Marketing at AWS. “Through our multiyear agreement, AWS will power Dynatrace’s next-generation solutions and product enhancements and provide our joint customers with software intelligence for end-to-end observability across their AWS services. In addition, the expansion of our work will allow Dynatrace and AWS to deliver tighter product alignment, as well as stronger joint marketing and co-selling programs to customers around the globe.”

“Dynatrace was purpose-built to enable digital innovators in the world’s largest organizations to deliver flawless and secure digital interactions,” said Mike Maciag, CMO at Dynatrace. “Together with AWS, we’re making it even easier for our customers to do this at scale by delivering deep and broad observability across their cloud environments. Our unique approach, which combines this observability with runtime application security and advanced AIOps, supplies teams with answers and intelligent automation to help them simplify and automate cloud operations. This empowers them to drive digital transformation faster, and more securely, so they can achieve consistently better business outcomes.”

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Dynatrace Expands Partnership with AWS

Dynatrace announced an expanded strategic partnership with Amazon Web Services (AWS).

Dynatrace will work with AWS to align on new product and solution development and enhance their go-to-market partnership with joint activities such as events, sponsorships, and customer solutions workshops. As a result, organizations around the world will benefit from easier access to the Dynatrace Software Intelligence Platform through the AWS Marketplace, so they can deliver flawless and secure digital experiences.

This announcement builds on existing strategic collaboration between Dynatrace and AWS, in which the two companies have achieved the following:

- The Dynatrace platform supports more than 100 AWS services, including AWS Lambda and Amazon Elastic Kubernetes Service (EKS). This enables organizations to automatically assess the performance and security of all applications, the underlying infrastructure, and the experience of all users, even in the most complex, heterogeneous environments.

- Dynatrace has achieved many competencies as part of the AWS Competency Program, including AWS Migration & Modernization, AWS Machine Learning in Applied AI, AWS Government, AWS Containers, and AWS DevOps competencies.

“Our collaboration with Dynatrace allows our joint customers to accelerate modernization and achieve their digital transformation goals,” said Matt Garman, SVP of Sales and Marketing at AWS. “Through our multiyear agreement, AWS will power Dynatrace’s next-generation solutions and product enhancements and provide our joint customers with software intelligence for end-to-end observability across their AWS services. In addition, the expansion of our work will allow Dynatrace and AWS to deliver tighter product alignment, as well as stronger joint marketing and co-selling programs to customers around the globe.”

“Dynatrace was purpose-built to enable digital innovators in the world’s largest organizations to deliver flawless and secure digital interactions,” said Mike Maciag, CMO at Dynatrace. “Together with AWS, we’re making it even easier for our customers to do this at scale by delivering deep and broad observability across their cloud environments. Our unique approach, which combines this observability with runtime application security and advanced AIOps, supplies teams with answers and intelligent automation to help them simplify and automate cloud operations. This empowers them to drive digital transformation faster, and more securely, so they can achieve consistently better business outcomes.”

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...