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Dynatrace Expands AWS Integrations and Achieves AWS Agentic AI Specialization

At Amazon Web Services (AWS) re:Invent 2025, Dynatrace announced expanded integrations with advanced AWS technologies and new achievements with AWS that deliver enhanced AI-driven observability, automation, and security to customers worldwide. 

These advancements help enterprises running workloads on AWS to reduce mean time to resolution, prevent outages through automated remediation, and strengthen security posture across their cloud environments. 

Additionally, Dynatrace is proud to announce its recognition as an AWS Public Sector Technology Partner of the year in LATAM.

Dynatrace Recognized in AWS Partner of the Year Awards

Each year, AWS honors the members of the AWS Partner Network from around the globe that play key roles in helping customers drive innovation and build solutions on AWS. Following 2024’s recognition as an EMEA Technology Partner of the Year, Dynatrace is proud to be named as LATAM Public Sector Technology Partner of the Year, recognizing its solutions and experience supporting government, education, and nonprofits across the LATAM region. The winners of the awards will be recognized during the Partner Awards Gala at AWS re:Invent 2025.

Dynatrace achieves AWS Agentic AI Specialization

The AWS Specialization Program helps AWS customers identify partners with deep expertise in specialized solutions, and Dynatrace has achieved the AWS Agentic AI Specialization, a new category launched within the AWS AI Competency. To earn this distinction, Dynatrace demonstrated technical expertise and customer success in monitoring and governing Agentic AI systems in production. With Dynatrace, enterprises can optimize Agentic AI performance, maintain robust governance, and confidently drive innovation.

“Our collaboration with AWS continues to drive innovation and deliver meaningful outcomes for our customers,” said Jay Snyder, SVP, Global Partner and Alliances at Dynatrace. “Achieving the AWS Agentic AI Specialization and being recognized as a Partner of the Year underscores our shared commitment to empowering organizations in the AI era. Together, Dynatrace and AWS are helping customers turn cloud complexity into a strategic advantage and drive their business forward.”

Expanded Dynatrace + AWS Service Integrations

Dynatrace helps organizations manage and innovate in the cloud by delivering integrated solutions that simplify complexity and drive business outcomes. The Dynatrace and AWS collaboration continues to evolve, enabling customers to accelerate innovation, automate operations, and strengthen security across the entire cloud ecosystem with expanded and new integrations, including:

  • Dynatrace Cloud Operations Solution: Enables automatic discovery of new AWS services, native telemetry and meta data ingestion for seamless observability, and unified dashboards with AI-driven insights for performance, cost control, and modernization. With this foundation, teams gain real-time visibility and actionable intelligence across their entire cloud ecosystem.
  • New AWS DevOps Agent: Dynatrace integrates with AWS DevOps Agent to accelerate root cause isolation with domain-specific AWS context, reducing mean time to resolution. The Dynatrace platform delivers autonomous troubleshooting, from detecting performance degradations and quantifying business impact, investigating root causes, and providing remediation instructions. Customers using Dynatrace on AWS can unlock greater value, faster innovation, and stronger resilience.
  • New Kiro autonomous agent: Dynatrace is using Kiro autonomous agent to accelerate developer productivity. As an autonomous agent, Kiro autonomous agent leverages deep insights from Dynatrace's observability platform alongside its understanding of existing codebases, system architectures, and internal processes. This integration delivers an asynchronous, collaborative agent framework that handles tasks from bug triage to feature implementation, allowing developers to focus on strategic initiatives.
  • New Kiro powers: As AI-driven development evolves, Dynatrace offers Kiro power to extend observability to development agents. The power brings actionable insights on performance to Kiro's spec-driven development, enabling specialization of AI agents within developer workflows, without context switching.
  • Observability with Amazon Bedrock AgentCore: For those leveraging agentic systems, Dynatrace AI Observability for Amazon Bedrock AgentCore provides visibility into agentic systems and their interactions across AWS services, enabling developers and enterprises to monitor, debug, optimize, and audit agentic workflows.
  • AWS Security Hub: Dynatrace integrates with AWS Security Hub to deliver real-time observability and AI-driven insights for cloud security posture, accelerating threat detection, reducing mean time to remediation, and improving resilience and compliance.

Together, these integrations enable customers to innovate faster, automate operations, and strengthen security across their entire cloud environment. 

At AWS re:Invent 2025. Visit Dynatrace booth #575 in the Expo Hall to experience tailored demos, technical deep dives, giveaways and compelling customer case studies. 

The Latest

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

Dynatrace Expands AWS Integrations and Achieves AWS Agentic AI Specialization

At Amazon Web Services (AWS) re:Invent 2025, Dynatrace announced expanded integrations with advanced AWS technologies and new achievements with AWS that deliver enhanced AI-driven observability, automation, and security to customers worldwide. 

These advancements help enterprises running workloads on AWS to reduce mean time to resolution, prevent outages through automated remediation, and strengthen security posture across their cloud environments. 

Additionally, Dynatrace is proud to announce its recognition as an AWS Public Sector Technology Partner of the year in LATAM.

Dynatrace Recognized in AWS Partner of the Year Awards

Each year, AWS honors the members of the AWS Partner Network from around the globe that play key roles in helping customers drive innovation and build solutions on AWS. Following 2024’s recognition as an EMEA Technology Partner of the Year, Dynatrace is proud to be named as LATAM Public Sector Technology Partner of the Year, recognizing its solutions and experience supporting government, education, and nonprofits across the LATAM region. The winners of the awards will be recognized during the Partner Awards Gala at AWS re:Invent 2025.

Dynatrace achieves AWS Agentic AI Specialization

The AWS Specialization Program helps AWS customers identify partners with deep expertise in specialized solutions, and Dynatrace has achieved the AWS Agentic AI Specialization, a new category launched within the AWS AI Competency. To earn this distinction, Dynatrace demonstrated technical expertise and customer success in monitoring and governing Agentic AI systems in production. With Dynatrace, enterprises can optimize Agentic AI performance, maintain robust governance, and confidently drive innovation.

“Our collaboration with AWS continues to drive innovation and deliver meaningful outcomes for our customers,” said Jay Snyder, SVP, Global Partner and Alliances at Dynatrace. “Achieving the AWS Agentic AI Specialization and being recognized as a Partner of the Year underscores our shared commitment to empowering organizations in the AI era. Together, Dynatrace and AWS are helping customers turn cloud complexity into a strategic advantage and drive their business forward.”

Expanded Dynatrace + AWS Service Integrations

Dynatrace helps organizations manage and innovate in the cloud by delivering integrated solutions that simplify complexity and drive business outcomes. The Dynatrace and AWS collaboration continues to evolve, enabling customers to accelerate innovation, automate operations, and strengthen security across the entire cloud ecosystem with expanded and new integrations, including:

  • Dynatrace Cloud Operations Solution: Enables automatic discovery of new AWS services, native telemetry and meta data ingestion for seamless observability, and unified dashboards with AI-driven insights for performance, cost control, and modernization. With this foundation, teams gain real-time visibility and actionable intelligence across their entire cloud ecosystem.
  • New AWS DevOps Agent: Dynatrace integrates with AWS DevOps Agent to accelerate root cause isolation with domain-specific AWS context, reducing mean time to resolution. The Dynatrace platform delivers autonomous troubleshooting, from detecting performance degradations and quantifying business impact, investigating root causes, and providing remediation instructions. Customers using Dynatrace on AWS can unlock greater value, faster innovation, and stronger resilience.
  • New Kiro autonomous agent: Dynatrace is using Kiro autonomous agent to accelerate developer productivity. As an autonomous agent, Kiro autonomous agent leverages deep insights from Dynatrace's observability platform alongside its understanding of existing codebases, system architectures, and internal processes. This integration delivers an asynchronous, collaborative agent framework that handles tasks from bug triage to feature implementation, allowing developers to focus on strategic initiatives.
  • New Kiro powers: As AI-driven development evolves, Dynatrace offers Kiro power to extend observability to development agents. The power brings actionable insights on performance to Kiro's spec-driven development, enabling specialization of AI agents within developer workflows, without context switching.
  • Observability with Amazon Bedrock AgentCore: For those leveraging agentic systems, Dynatrace AI Observability for Amazon Bedrock AgentCore provides visibility into agentic systems and their interactions across AWS services, enabling developers and enterprises to monitor, debug, optimize, and audit agentic workflows.
  • AWS Security Hub: Dynatrace integrates with AWS Security Hub to deliver real-time observability and AI-driven insights for cloud security posture, accelerating threat detection, reducing mean time to remediation, and improving resilience and compliance.

Together, these integrations enable customers to innovate faster, automate operations, and strengthen security across their entire cloud environment. 

At AWS re:Invent 2025. Visit Dynatrace booth #575 in the Expo Hall to experience tailored demos, technical deep dives, giveaways and compelling customer case studies. 

The Latest

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...