
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 today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...
