“Enterprises running mission-critical systems on AI-powered infrastructure need more than visibility; they need answers,” said Steve Tack, EVP, Chief Product Officer at Dynatrace. “AI introduces a new class of failures that tools built for simpler stacks cannot see, and fragmented tools leave teams guessing instead of acting. Dynatrace delivers precise end-to-end visibility across the full stack, so every team, from engineering to the business, has the context to act. We believe enterprises deserve a partner they can trust when it matters most, and we think being named a Gartner Leader for the 16th consecutive time reflects that trust.”

Complimentary copies of the 2026 Gartner Magic Quadrant for Observability Platforms are available on the Dynatrace website.

Gartner Disclaimer

Gartner, Magic Quadrant for Observability Platforms, Padraig Byrne, Martin Caren, D.B. Cummings, Neil Young, 13 July 2026

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates

Dynatrace was recognized as Compuware from 2010-2014.

Additional Resources:

Dynatrace named a Leader in the 2026 Gartner® Magic Quadrant™ for Observability Platforms for the 16th consecutive time

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Since achieving FedRAMP Moderate authorization in 2020 and subsequently expanding that authorization to include Dynatrace Application Security under NIST SP 800-53 Rev. 5, Dynatrace has supported public sector organizations with compliance-ready observability and security solutions. As federal agencies accelerate modernization initiatives, hybrid cloud transformation, and AI adoption, Dynatrace is committed to building its platform to operate across higher security baselines, reinforcing Dynatrace’s plans to pursue FedRAMP High authorization.

Dynatrace plans to pursue FedRAMP High authorization to support agencies with more advanced security requirements. The company is engaging with customers and partners to align future platform capabilities with evolving federal and public sector needs. Dynatrace’s unified observability platform and Grail® data lakehouse architecture are designed to support highly regulated environments, with a roadmap to align future capabilities with FedRAMP High, Department of Defense (DoD), and other evolving government security and compliance requirements.

“Federal agencies have been running mission-critical workloads on Dynatrace since our FedRAMP Moderate authorization in 2020 – that’s the foundation this announcement builds from,” said Steve Tack, CPO of Dynatrace. “We’re engineering the Dynatrace architecture to specifically support federal and public sector environments, bringing precise answers, intelligent automation, and resilient operations to the most critical missions in government.”

Dynatrace’s government portfolio is designed around customer and partner-managed deployment within agency-defined operational boundaries, ensuring data sovereignty and control across all classification levels.

“Agencies planning multi-year modernization programs need to know their observability platform can evolve with them, from FedRAMP Moderate toward higher security baselines, without requiring rearchitecting or switching vendors,” said Willie Hicks, Global Public Sector CTO at Dynatrace. “That’s what we’re building toward: a single platform that meets agencies where they are today and scales with them as their mission security requirements evolve.”

Dynatrace engages with public sector organizations through its established partner ecosystem and direct collaboration channels. Government agencies interested in discussing Dynatrace’s public sector direction and compliance aligned priorities can contact their Dynatrace representative or visit www.dynatrace.com/solutions/industry/public-sector.

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s plan to pursue FedRAMP High authorization and expanded government security standards and the expected future benefits to organizations if Dynatrace achieves FedRAMP High authorization and expanded government security standards. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document because of new information, future events, or otherwise.

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Key findings from the report include:

• AI workloads have driven a 93% increase in log volume over the last 12 months.
• Organizations use an average of seven different tools to manage logs and telemetry.
• 80% say turning telemetry into actionable insights is negatively impacting customer experience and delaying AI initiatives.
• Organizations exclude an average of 86% of log data to manage costs and system limitations.
• Teams spend nearly $2.5 million annually on logging solutions.
• Nearly three-quarters say AI workloads require a platform-based approach to log management.
• 81% believe log ingestion and processing must be open and automated for real-time analysis.

According to a global study of 450 senior technology leaders, this surge in data, combined with fragmented tools, is making it increasingly difficult for teams to detect issues, secure AI systems, and extract timely insights. Organizations are forced into manual, time-consuming workflows as they compare insights across systems, slowing time to insight and limiting their ability to move AI initiatives from pilot to production.

AI growth pushes traditional log management to breaking point

Respondents estimate they spend an average of nearly $2.5 million annually on logging solutions, including log ingestion, management, storage, indexing, rehydration, and querying. At the same time, logs are a key component for understanding and securing AI systems. To manage rising costs and system limitations using traditional methods, many organizations are forced to limit the amount of telemetry they ingest or retain.

Nearly half of organizations report discarding or not collecting logs, excluding an average of 86% of log data from ingestion, storage, or analysis to manage cost and system limitations. These challenges are most pronounced in environments that rely on fragmented or log‑centric approaches, rather than a unified observability platform designed to handle AI‑scale telemetry.

“AI is accelerating enterprise innovation, but most logging systems were never built for the scale, speed, or complexity of AI‑driven environments,” said Mala Pillutla, Vice President of Log Management at Dynatrace. “As AI agents operate probabilistically, treating logs, metrics, traces, and events as separate signals is no longer viable. To make AI systems reliable and trustworthy, organizations need a unified, intelligent approach that brings all telemetry together in real time, enriched with deep context to drive confident decisions.”

As AI initiatives move from experimentation to production, fragmented log management from too many tools is emerging as a key barrier to reliability, trust, and operational scale.

Unified observability becomes essential to scaling AI workloads

The report underscores the need for a fundamentally new approach to log management, where logs serve as the high-fidelity foundation, unified with distributed tracing and other telemetry data to deliver real-time, context-rich insights at a massive scale.

Nearly three‑quarters of respondents say AI workloads now demand a platform‑based approach to log management, while 81% believe log ingestion and processing must be open and automated to enable real‑time analysis without rigid schemas, indexing overhead, or rehydration delays.

The real cost of observability fragmentation isn’t just the infrastructure bill — it’s the opportunity cost of AI initiatives that stall between pilot and production because teams can’t trust their telemetry. The research shows that roughly a third of organizations are paying for redundant or underutilized observability features, and more than a quarter are burning engineering cycles just keeping multiple tools running across environments. That’s capacity that should be going toward making AI workloads production-ready, not toward stitching together dashboards across numerous different tools.

Download The State of Log Management 2026 report here to explore benchmark data on how AI workloads are exploding log volume and costs, and why unified observability is now essential for reliable, trustworthy AI operations.

Methodology

The State of Log Management 2026 report is based on a global survey of 450 senior leaders and decision makers responsible for log management in enterprises with annual revenues of $750 million or more. The research was conducted by Coleman Parkes on behalf of Dynatrace in January and February of 2026.

Resources

• The future of log management: New research reveals that AI workloads demand more from logs

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities and platform and the expected current and future benefits to organizations from using the Dynatrace platform. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document because of new information, future events, or otherwise.

The post New Global Study Finds AI is Breaking Enterprise Log Management appeared first on Dynatrace news.

As Kubernetes adoption accelerates and generative AI workloads scale in production, organizations face growing complexity across multi-cloud, hybrid, and edge architectures. Dynatrace’s leadership in the GigaOm Radar recognizes Dynatrace as one of the most complete platforms in the market, underscoring its ability to help teams understand complex Kubernetes environments with advanced automation and AI‑driven insights. 

“Kubernetes has become the foundation of modern enterprise infrastructure, and the organizations running it at scale need observability that is intelligent, automated, and deeply integrated into their engineering workflows,” said Steve Tack, Chief Product Officer at Dynatrace. “This recognition reflects the trust customers place in Dynatrace to give them the insights they need to build and run their most critical cloud‑native system. By unifying observability and security with agentic AI, we are enabling teams to prevent issues, accelerate innovation, and continuously optimize their environments.” 

GigaOm evaluated 20 of the top Kubernetes observability solutions, assessing vendors across key features, emerging capabilities, and business criteria that reflect real-world enterprise requirements. Dynatrace received the top score for Key Features, including automated root cause analysis, predictive analytics, log anomaly detection, and user experience monitoring.  

According to GigaOm’s Chris Nelson, the author of the report, “Kubernetes observability has evolved from a supporting monitoring function into a strategic capability that directly impacts business resilience, innovation velocity, and financial performance. Dynatrace Intelligence is the industry standard for deterministic root cause analysis, providing precise answers rather than simple correlations. By mapping the entire topology of a Kubernetes environment, Dynatrace Intelligence can pinpoint the exact service or infrastructure component for an issue, eliminating the need for manual war rooms.” 

A complimentary copy of the 2026 GigaOm Radar Report for Kubernetes Observability is available here. 

The post Dynatrace Named a Leader and an Outperformer for the Second Consecutive Year in the 2026 GigaOm Radar for Kubernetes Observability appeared first on Dynatrace news.

As cloud‑native architectures and AI‑driven development accelerate, organizations are seeing rapid growth in telemetry – the operational signals that show what’s happening inside digital systems. Telemetry pipelines that capture, optimize, and deliver this data in an actionable form have become foundational to modern software ecosystems.

Bindplane is a leader in this category. Its technology optimizes and governs telemetry at the edge to improve data quality, reduce ingest costs, and enhance compliance through the removal, masking, and encryption of sensitive data. Bindplane also provides a natural transition path from legacy monitoring tools to modern, cloud‑native observability.

“Telemetry pipelines have become a critical observability requirement in the AI era as technology teams must collect and send data to and from a plethora of sources,” said Stephen Elliot, Group VP, IDC. “Customers are purchasing solutions to control, enrich, and shape data for effective and efficient security and operations, enabling a scalable foundation for AI strategies.”

“Together, Dynatrace and Bindplane will enable a new level of control over telemetry,” said Steve Tack, Chief Product Officer at Dynatrace. “As data volumes surge and AI becomes central to how teams build and operate software, customers need a unified, open approach to managing their data. Our combined offering will create a market leading foundation that gives customers the clarity and control they need to operate with confidence and drive innovation. The acquisition will allow Dynatrace to accelerate its Log Management and Analytics roadmap as customers will gain expanded ingest capacity across a broader range of data sources and the freedom to route telemetry to any destination.”

“As organizations modernize and adopt AI-driven development, telemetry has become one of their most valuable and yet challenging assets,” said Michael Kelly, CEO at Bindplane. “Bindplane helps customers reduce complexity, improve data quality, and accelerate their digital transformation. We’re excited to join Dynatrace to enable even more teams around the world to turn their data into a strategic advantage.”

The transaction is expected to close later this month, subject to customary closing conditions, and is not expected to have a material impact on Dynatrace’s FY’27 financial results.

To learn more, please visit:

• The Dynatrace blog
• The Bindplane blog

About Dynatrace

Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. Learn more at www.dynatrace.com.

Cautionary Language Concerning Forward-Looking Statements 

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding the anticipated benefits of the proposed acquisition, Dynatrace’s and Bindplane’s respective capabilities, the expected benefits to organizations from using Dynatrace and Bindplane, the expected impact of the proposed acquisition on Dynatrace’s Log Management and Analytics roadmap, and the expected timing for closing the proposed acquisition. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

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Canada is particularly vulnerable to payment disruptions, with businesses reporting almost seven (6.8) outages per year, a higher frequency than peers in the US (5.7), UK (5.1), France (5.0) and Germany (4.0). Large Canadian businesses with more than $700M in annual turnover report more frequent payment disruptions than smaller operators, increasing their exposure to the financial impact of outages.

The research draws on two nationally representative surveys, covering 2,000 Canadian consumers and 200 retail and hospitality managers, and examine the frequency, duration and commercial impact of payment disruptions.

“Payment disruption is a direct hit to the consumer and to businesses, and the longer it lasts, the more impact snowballs with missed sales and compounding recovery costs,” said Christopher Kronenthal, President at FreedomPay. “Canadian businesses must adopt strategies to avoid and withstand disruption, including layered backup solutions and holistic payment ecosystems.”

With customer trust and authenticity more important than ever, payment system outages also expose businesses to cascading vulnerabilities, potentially impacting long-term performance.

The report also examines how consumers behave when payment systems fail. It finds that almost two-thirds (63%) of “High-Risk Critics” (affluent, frequent shoppers) and more than one-third (38%) of “Silent Walkouts” (those who abandon without complaint) say a single payment failure reduces their trust in a business. This directly impacts long-term customer loyalty and return visits. The reputational risk can extend further online, with more than half (60%) of Gen Z saying they would likely share a negative experience on social media.

“When payments fail, customers don’t just lose time, they lose confidence. A truly integrated payment resilience strategy, capable of anticipating, absorbing and recovering from outages, is no longer an option. It’s the critical investment businesses need to make now to protect their transactions and reputation,” said David Jones, VP of NORAM Solution Engineering at Dynatrace.

The urgency for Canadian businesses to invest in robust payment resilience is underscored by data showing that restoring payment systems within the first five minutes can prevent over 90% of potential losses. This highlights the critical need for rapid recovery capabilities.

Despite these alarming risks, many Canadian businesses are far from ready. The report states that one in three retail and hospitality businesses (32%) operates without any secure digital payment backup. Among those with some safeguards, investments are fragmented with only 44% using secondary internet connections, 40% offering offline card processing, and 29% that provide mobile payment alternatives. This disjointed approach leaves companies highly vulnerable to financial and reputational fallout.

“To effectively combat these vulnerabilities, businesses need to adopt solutions such as secondary internet for network resilience, offline card processing, and mobile payment alternatives. An integrated approach including robust POS reliability and guaranteed power continuity will enable businesses to secure financial stability and customer trust,” said Richard Lim, CEO at Retail Economics.

Download the report here.

—

About FreedomPay

FreedomPay is the global leader in Next Level Commerce™—transforming the way businesses power payments and experiences across the world. More than a payment solution, FreedomPay is a world-class independent payment gateway engineered to simplify complexity, break down the barriers of legacy systems, and revolutionize every point of interaction—whether in-store, online, or mobile. Chosen by the leading brands across retail, hospitality, sports and entertainment, food service, healthcare and higher education, FreedomPay delivers technology strength, integration breadth, and deep expertise in global payments innovation.

As one of the first solutions in North America validated by the PCI Security Standards Council for P2PE, FreedomPay sets the gold standard for payment security, trust, and performance. With a unified technology stack, lightning-fast APIs, and integrated solutions across payments, FreedomPay gives businesses total peace of mind plus the freedom to choose any hardware provider. Move faster, act smarter, and lead markets—not chase them www.freedompay.com

About Retail Economics

Retail Economics is an independent economics research consultancy focused on B2B thought leadership in the consumer and retail industry. We analyze the complex retail economic landscape and draw out actionable insight for our clients. Leveraging our own proprietary retail data and applying rigorous economic analysis, we transform information into points of action.

Our service provides unbiased research and analysis on the key economic and social drivers behind the retail sector, helping to inform critical business decisions, giving you a competitive edge through deeper insights. Learn more at www.retaileconomics.co.uk

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RUM has become essential to understanding how applications perform for real users. But as organizations shift to dynamic, cloud-native, and AI-driven architectures – including LLM-powered services – traditional RUM tools are struggling to keep pace. Legacy approaches often miss critical behaviors in single-page applications (SPAs), asynchronous rendering, and soft navigations, leaving gaps in understanding. These blind spots hinder developers, SREs, and application owners from analyzing user journeys, optimizing performance, and improving business outcomes.

The rapid growth of AI has also introduced new performance challenges, such as unpredictable workloads, latency spikes, and opaque model behavior, which legacy tools simply do not capture.

Dynatrace RUM is the only solution that unifies front-end telemetry with back-end context – logs, metrics, traces, topology, security events, and business data – within an agile platform powered by Grail™, Smartscape, and Dynatrace AI. This provides precise, end-to-end visibility, faster issue resolution, and smarter decision-making.

Key enhancements include:

• Unified, Actionable Insights and Advanced Analytics: Query front-end performance and session data in the context of logs, metrics, spans, traces, and security events, all stored in Grail, an industry-leading unified data lakehouse that delivers precise, contextual insights from unified data. This connected view supports advanced use cases such as analyzing SPA rendering delays or AI-generated content performance.
• Purpose-Built Apps for Developers: A dedicated interface that prioritizes grouped errors with end-to-end context, helping developers quickly identify trends and root causes. Apps like Error Inspector streamline troubleshooting and accelerate resolution.
• Guided Observability Journeys: An intuitive user interface (UI) leads practitioners through problem flows, maintaining context across impacted entities, timeframes, and services. This reduces manual effort and speeds remediation.
• Behavioral Analysis: Capture user interactions and soft navigations to understand how users move through AI-native and LLM‑enhanced This helps application owners surface experience issues even when backend performance appears healthy.
• Extended Retention: Now in public preview, free-form analytics via DQL and retention of up to thirteen months enable deep investigations, compliance support, and historical trend analysis, surpassing competitive offerings.

“Capturing real user monitoring data and user interactions in the context of business data is a game-changer,” said Victoria Ruffo, Software Engineering Team Lead at FreedomPay. “Dynatrace RUM enables us to clearly see the performance and effectiveness of our most critical user journeys at the view level – not just pages and apps – so we can now act on insights that truly matter.”

“Dynatrace RUM allows customers to focus on what matters most, whether it’s degrading app performance for SREs, trending errors for developers, or abandoned sessions for support engineers,” said Steven Dickens, Founder and Principal Analyst at HyperFRAME Research. “By delivering RUM within a unified observability platform, Dynatrace eliminates the complexity of teams traversing multiple point solutions, and complements the experience with exploratory user journey analysis that includes out-of-the-box apps, notebooks and dashboards. This makes it easier than ever for teams to move from insight to action without switching tools.”

“Modern applications behave in highly dynamic and unpredictable ways, and teams need answers, not more manual analysis,” said Steve Tack, Chief Product Officer at Dynatrace. “Our next-generation RUM capabilities unify frontend experiences and backend context, automate insights, and help teams continuously validate and optimize how their applications perform for users. In the age of AI, success depends on intelligent automation and precise, real-time context, so teams can innovate more and deliver consistently great user experiences.”

To learn more about Dynatrace’s new RUM capabilities, available now, please visit the Dynatrace blog. To learn more about the announcements made at Perform 2026, visit the Dynatrace newsroom.

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities, the expected benefits to organizations from using Dynatrace, and the timing for when any capabilities, features, or functionality are expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

The post Dynatrace Announces Enhanced Real User Monitoring to Unify Application Observability appeared first on Dynatrace news.

Software delivery is undergoing a major shift as cloud-native architectures, AI-assisted development, and agentic systems accelerate release of velocity. According to recent Dynatrace research, product development is the fastest-growing use case for agentic AI, with 42% of organizations already using it in customer-facing digital products and another 31% planning to expand adoption over the next five years. As code, models, prompts, and configurations change faster and behave more dynamically, teams need not just visibility, but real-time, production-grade control to act confidently, manage risk, and keep applications stable at enterprise scale.

The capabilities announced today unify frontend, backend, AI telemetry, database, cloud, and mobile into a single developer-facing experience built on Dynatrace Grail™, Smartscape, and Dynatrace Intelligence. Dynatrace’s AI-native foundation – built for agentic and LLM-driven applications – enables humans and AI agents to reason about live system behavior, experiment safely in production, and take immediate, targeted action without redeployments or manual intervention.

Key enhancements include:

• Frontend observability with RUM: A modernized frontend experience unifies RUM data in Grail™ and introduces three new apps, including Error Inspector, to give developers deeper visibility and faster troubleshooting of real user behavior and frontend issues.
• Expanded mobile developer capabilities: New mobile diagnostics provides the context developers need to pinpoint Application Not Responding (ANRs) events and crashes quickly, reducing debugging time and improving app stability.
• Software Delivery and Observability in the Age of AI: With the acquisition of DevCycle, Dynatrace advances observability into an active system of control. DevCycle’s precise, feature-level runtime controls combine with Dynatrace Intelligence to continuously validate behavior, reduce risk, and automatically respond to issues from development through production. Integration work for DevCycle is already underway with further updates in the future as it relates to release.
• End-to-end traces across AI, databases, and cloud platforms: Unified tracing links AI calls, application services, databases, and cloud infrastructure, providing clarity as AI-driven workloads increase trace volume and complexity across distributed systems.
• Agentic workflows and MCP integrations: Agentic workflows and the Dynatrace MCP Server enable developers and AI agents to act safely on real-time observability data. MCP support for Claude, AWS Bedrock AgentCore, and Azure AI Foundry, delivering safe automation across multi-cloud and multi-AI environments.
• Live Debugger updates: Expanded support for leading IDEs, including Windsurf and Cursor, bring instant access to live debugging within the programming environment, streamlining development and troubleshooting

“Developers within our organization are spending significantly less time now debugging, coordinating, and troubleshooting thanks to Dynatrace’s developer experience capabilities, including Live Debugger,” explains Dana Harrison at TELUS. “By reducing time and focus in these areas, we’ve been able to pivot efforts to build high-quality software with greater confidence than ever, delivering innovations faster for our business. This has all been done with no increase in risk. As we look to the future, we know we can increase developer productivity within our organization thanks to Dynatrace, confidently supporting us on our journey to improve social outcomes through technology.”

“In the era of vibe coding and AI-assisted engineering, developer experience is a critical business driver, not a mere operational concern,” said Kate Holterhoff, senior industry analyst at RedMonk. “With developers increasingly relying on AI for code generation, the importance of ensuring the quality and performance of that output—especially on the frontend and mobile interfaces—is amplified. Dynatrace’s observability enhancements in this area including Real User Monitoring (RUM), Error Inspector, and ANR/crash symbolization supports DevX by providing practitioners with real-time context into user behavior and production issues.”

“Developers play a defining role in how organizations innovate and shape the technology investments that drive long-term value,” said Steve Tack, Chief Product Officer at Dynatrace. “The latest enhancements from Dynatrace enhance developer impact, improve release confidence, and operationalize software delivery across cloud native, AI native, and multicloud environments. By unifying delivery, runtime control, and insight on a single platform, we give developers direct control over how software behaves in production—so they can experiment safely, respond quickly, and turn real-world signals into real business impact.”

Several enhancements are available immediately, while others will be rolled out over time.

At Perform, Dynatrace will host developers across hands-on workshops, a vibe coding event, and a hackathon in partnership with Microsoft and powered by GitHub Copilot.

To learn more about Perform 2026 announcements, visit the Dynatrace newsroom.

Cautionary Language Concerning Forward-Looking Statements
This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities, the expected benefits to organizations from using Dynatrace and AI, and the timing for when any capabilities, features, or functionality are expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

The post Dynatrace Enhances Developer Experience to Power Smarter Agentic Workflows and Frontend Innovation appeared first on Dynatrace news.

Gartner® predicts that “40% of enterprise apps will be integrated with task-specific agents, up from less than 5% now” – making the shift from experimentation to production a business priority.¹ Organizations need observability solutions that can not only monitor AI, but actively optimize, govern, and secure it at scale.

With the Dynatrace platform as a control plane for AI in production, enterprises gain the visibility, automation, and governance required to adopt agentic AI with confidence. This evolution is helping customers manage complexity and compliance while optimizing performance across emerging technologies.

Customers in Action

Canadian technology giant, TELUS, has been using Dynatrace AI Observability to transform incident response and drive measurable operational ROI. By consolidating multiple monitoring tools into a single observability platform, TELUS has lowered tooling costs and achieved a 30% reduction in onboarding time for new teams. Automation and monitoring as code capabilities reduced the effort to deploy end-to-end observability from 600 minutes to just 20 minutes, delivering substantial time savings for the business.

New Advancements

Despite AI enthusiasm, according to recent findings, the majority (95%) of AI initiatives deliver zero return on investment due to failures before reaching production. Dynatrace has introduced major advancements designed to close this gap, helping enterprises scale AI initiatives with confidence while mitigating security and compliance risks such as data leakage, prompt injection, and policy violations.

Recent innovations include:

• Unified observability across the agentic AI stack. Support for a broad ecosystem of agentic frameworks and services, including Amazon Bedrock AgentCore, Amazon Bedrock Strands, Google Agent Development Kit, OpenAI Agent, Anthropic Model Context Protocol (MCP), LangChain Agents and Azure AI Factory agents. This gives organizations a single, unified view across internal and external models, services, and orchestration layers.
• Model versioning & A/B testing. Built-in comparison across models such as GPT-5, Claude, Vertex AI, Azure AI Foundry using metrics including response time, token consumption, cost, and relevancy – enabling data-driven selection and continuous optimization.
• Intelligent alerting and forecasting. AI-driven cost and performance forecasting helps teams anticipate risk early and maintain predictable, efficient AI operations.

“By combining our Agentic AI initiatives with Dynatrace’s AI Observability capabilities, we’ve successfully optimized our development and operations workflows. This collaboration has enabled us to streamline incident resolution to minutes, from detection to pull requests. Through this integration of AI technologies, we’re driving innovation and delivering measurable business impact while reducing downtime.” states Kulvir Gahunia at TELUS. This partnership has delivered clear, measurable ROI for TELUS by accelerating innovation, reducing operational effort, and enabling us to proactively ensure the reliability and performance of our most important digital services.”

“Across industries, our customers are leading the shift from AI experimentation to AI at enterprise scale,” said Steve Tack, Chief Product Officer at Dynatrace. “Their work demonstrates how deep observability of modern AI workloads – using LLMs, agentic AI workflows, and generative AI applications – enables organizations to move faster and more confidently. By combining visibility with automation and intelligent analytics, our customers are turning AI into measurable business outcomes – faster innovation, improved reliability, higher customer satisfaction, and stronger operational efficiency.”

For more details on how Dynatrace is helping customers accelerate their AI initiatives, please visit the Dynatrace blog.

To learn more about Perform 2026 announcements, visit the Dynatrace newsroom.

¹Gartner, Emerging Tech: The Future of Agentic AI in Enterprise Applications, Anushree Verma, Aakanksha Bansal, Alfredo Ramirez IV, Danielle Casey, 22 July 2025

GARTNER is a trademark of Gartner, Inc. and its affiliates.

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding the capabilities of AI Observability, the expected benefits to organizations from using Dynatrace and AI Observability, and the timing for when AI Observability and any capabilities, features, or functionality are expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

The post Dynatrace Fuels Business Growth with Unrivaled AI-Powered Insight into Customers’ AI Initiatives appeared first on Dynatrace news.

As organizations scale multi-cloud architectures and adopt more AI-driven applications, operating reliable digital services has become increasingly complex. Teams must manage performance, resilience, and cost across multiple cloud platforms while also supporting dynamic, data-intensive AI workloads.

Dynatrace’s expanded integrations bring added visibility across AWS, Azure, and Google Cloud into one unified view, enabling teams to find and fix issues faster and reduce risks to end-user experience. These capabilities are powered by an industry-leading unified data lakehouse, Grail™, as well as the Dynatrace Smartscape real-time dependency graph, and Dynatrace Intelligence, which together help teams understand, automate, and operate through growing multi-cloud complexity – turning it into a strategic advantage rather than an operational burden.

Enhancements further strengthen Dynatrace’s Cloud Operations capabilities, giving enterprises more streamlined way to manage performance, reliability, and costs across multi-cloud and AI-enabled environments.

Key enhancements include:

• Comprehensive visibility: Expanded telemetry and metadata improve insight into AWS, Azure, and Google Cloud services, helping teams better understand the health and behavior of cloud-native environments.
• Automated issue prevention: Ready-made health indicators, warning signals, and customizable alerts surface emerging risks early across cloud-native workloads, including those running on Azure Kubernetes Service and Azure AI Foundry.
• Automated remediation: Built-in automation resolves issues as they occur, reducing manual effort and minimizing user impact, regardless of where workloads are running.
• Automated optimization: Continuous assessment of cloud resource usage supports improved performance and cost efficiency across multi-cloud environments.

“With the updated cloud solution capabilities from Dynatrace, we are achieving a new standard for cloud operations,” said Alexandre Demailly, Head of Cloud Architecture Squad at SBS Software. “With Dynatrace, we have complete visibility into our cloud environments, moving us closer to achieving fully autonomous operations. This allows us to innovate more with less, all while maintaining end-to-end understanding and control of our technology stack.”

“As organizations continue to expand their cloud environments, the day-to-day reality of keeping applications reliable has become far more complex,” said Jay Snyder, Senior Vice President of Partners and Alliances at Dynatrace. “Teams are expected to deliver great performance, control costs, and maintain resilience across multiple cloud platforms at the same time. By expanding our cloud automation capabilities across AWS, Azure, and Google Cloud, Dynatrace not only makes it easier for platform teams to see what’s happening across their environments, but also to prevent issues automatically, before they have an impact on customers.”

“Dynatrace and AWS have worked together for years to help customers run critical workloads with confidence,” said Chris Grusz, Managing Director of Technology Partnerships at AWS. “As customer workloads grow in scale and complexity, teams need visibility and tools to identify and resolve issues quickly before they impact the business. These expanded integrations help our joint customers operate more efficiently and confidently at scale.”

“As enterprises increasingly adopt multi-cloud strategies, maintaining visibility and control has become a critical operational challenge,” said Steve McDowell, Chief Analyst and Founder of NAND Research. “Dynatrace’s expanded cloud-native integrations provide unified observability across the three major cloud platforms, enabling IT teams to manage performance, cost, and reliability from a single pane of glass. This approach to multi-cloud observability is essential for enterprises seeking to optimize cloud investments while maintaining operational excellence across a diverse multi-cloud infrastructure.”

Support for AWS is now generally available. Azure support is in preview. Google Cloud Platform support is also in preview.

At Perform 2026, AWS will participate in joint sessions with Dynatrace, including:

• “Autonomous Issue Resolution with AWS DevOps Agent and Dynatrace” – Wednesday, January 28, 10:30–11:00 a.m. PT Room 2 (Veronese 2404): A look at how the AWS DevOps Agent integrates with Dynatrace to support end-to-end event management, from incident detection through resolution.
• “Real-Time Observability in Your IDE: How NAIC Uses Kiro Powers to Drive Developer Productivity” – Thursday, January 29, 10:30–11:00 a.m. PT Room 4 (Titian 2304): Featuring the National Association of Insurance Commissioners, this session explores how developers embed real-time observability into their workflows using natural-language interaction with Dynatrace and Kiro powers.
• “Delivering Cloud-Native Observability at Scale: OneStream’s Journey with Dynatrace” – Wednesday, January 28, 2:30–3:00 p.m. PT Room 4 (Titian 2304): OneStream uses Dynatrace to deliver cloud-native observability across Azure, Kubernetes, and SaaS workloads. This session explores real-world use cases—from full-stack monitoring and Kubernetes insights to OpenTelemetry-based product telemetry—and shows how deep visibility drives faster issue identification and resolution, better customer experiences, and measurable business value.

To learn more about how Dynatrace is redefining cloud operations, please visit the Dynatrace blog. To learn more about Perform 2026 announcements, visit the Dynatrace newsroom.

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities, the expected benefits to organizations from using Dynatrace and AI, and the timing for when any capabilities, features, or functionality are expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

The post Dynatrace Expands Cloud Operations Capabilities with New Integrations Across AWS, Azure, and Google Cloud appeared first on Dynatrace news.

As enterprises expand AI across software and business workflows, operations are becoming more dynamic and complex. Success requires the ability to detect unexpected changes and act with speed and confidence at scale. AI-powered observability helps teams identify, remediate, and prevent issues. Beyond reliability, it accelerates innovation and improves productivity and efficiency, enabling organizations to handle complexity faster and more cost-effectively.

A New Model for Agentic Operations

Dynatrace Intelligence Agents introduce an intuitive model for agentic operations. Customers can use a broad set of specialized agents that serve specific functions and work together, including:

• Agents that deliver differentiated foundational capabilities for trusted operational context through causal reasoning, prediction, real-time intelligence, and oversight.
• Domain agents coordinate end-to-end outcomes including SRE and DevOps issue prevention and remediation, business observability for real-time business optimization, and security operations to identify and resolve vulnerabilities.
• Assist agents interpret situations and guide next best actions through natural language, helping customers onboard quickly and maximize value from Dynatrace across the organization.
• Agentic workflows orchestrate complex goals with policy-driven controls and approvals, with flexibility for custom use cases.
• Ecosystem agent integrations connect Dynatrace Intelligence with external systems to drive action across enterprise workflows, DevOps pipelines, and software ecosystems. This ensures teams get the full benefit of agents from key ecosystem partners.

An Agentic Workforce That Mobilizes Automatically

When activated by detected anomalies, or requests are received from users or partner agents, Dynatrace Intelligence automatically mobilize the right agents to assess context, determine urgency, and coordinate next steps. They execute actions directly through the tools teams already use to communicate, track work, and deliver fixes.

Elevated Outcomes Across Teams

Dynatrace Intelligence extends with domain specific agents to what teams can accomplish. They accelerate responses, improve consistency, and free teams for higher-value work. With these agents, teams can:

• Compress time-to-resolution with coordinated triage, guided remediation, and automated response.
• Improve customer experiences by optimizing engagement flow, identifying and resolving issues earlier, and preventing recurrence of issues.
• Reduce operational toil by automating repeatable tasks across service management, reliability, and security operations.
• Scale best practices by operationalizing expertise into repeatable workflows.
• Increase confidence and control with policy-driven governance and explainable actions.

Extending Autonomous Operations Across the Partner Ecosystem

Dynatrace Intelligence Agents also collaborate with external platform agents and enterprise systems, enabling action across the full operational landscape without locking organizations into relying on a single vendor. For example, when a high-impact vulnerability appears, Dynatrace Intelligence Agents automatically assess exposure, correlate evidence across logs, traces, vulnerabilities, runtime behavior, and detections, and generate a prioritized response plan. Integrated systems help teams move from alert to action in minutes. For more information on common use cases, please visit the Dynatrace blog.

“The real ROI in Dynatrace Intelligent Agents comes from precision, not prompts. Deterministic AI, unlike LLMs, reduces costs, increases trust, and enables supervised autonomy that enterprises can actually scale. Add the work that Dynatrace has done to build process-oriented agents, such as the SRE, Developer, and Security Agents, and organizations should expect domain-silos to be broken down, leading to fewer cross-team escalations and faster release cycles with fewer production failures,” says Rob Strechay, Principal Analyst, TheCUBE research & Smuget Consulting.

“Organizations will see an explosion of AI agents in the coming year,” said Steve Tack, Chief Product Officer at Dynatrace, “The effectiveness of these initiatives depends on deterministic insight into how agents interact. By anchoring a trusted ecosystem of technology partners, such as AWS, Microsoft Azure, and Google Cloud, to intelligent automation platforms like ServiceNow, we’re helping customers shift from managing incidents to managing intelligence. Together, we’re creating a self-healing foundation that turns cloud complexity into a strategic advantage and enables enterprises to accelerate innovation, optimize performance, and achieve zero-outage outcomes.”

Availability

Dynatrace Intelligence Agents are available now, with more to follow.

Dynatrace and the Dynatrace logo are trademarks of the Dynatrace, Inc. group of companies.  All other trademarks are the property of their respective owners.

Resources

• Dynatrace agentic ecosystem: Drive real outcomes, not AI pilots

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities, the expected benefits to organizations from using Dynatrace and AI, and the timing for when any capabilities, features or functionality are expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

The post Dynatrace Introduces Domain Specific Agents, to Extend SRE, Development, and Security Teams with Trusted, Autonomous Action appeared first on Dynatrace news.

Dynatrace Intelligence represents the next phase in the evolution of the Dynatrace platform, helping the world’s largest enterprises move from reactive to preventive and advances them toward autonomous operations while ensuring teams remain firmly in control.

Why Dynatrace Intelligence Matters

Organizations are confronting rising complexity as they continue to adopt new technologies. For example, global AI investment is expected to reach nearly $2 trillion in 2026 and organizations are under increasing pressure to show meaningful progress. Yet many struggle with the unpredictable and dynamic nature of AI and agentic systems. Teams must quickly identify unexpected behaviors, understand downstream impact, and deploy fixes before customer experience or business performance suffers.

Dynatrace Intelligence addresses these challenges with deep, real-time visibility into system behavior and performance across cloud and AI-native environments, creating a real-time digital twin. It removes guesswork by fusing the precise deterministic AI insights with reasoning from coordinated AI agents that drive self-healing systems. The result is reliable autonomous action, reduced operational burden, and more time for strategic decision-making.

The Dynatrace Difference: Fusing Deterministic with Agentic AI

Dynatrace Intelligence uniquely combines deterministic AI, grounded in real-time causal context, and agentic AI, capable of safe reasoning, decision-making, and action within defined guardrails.

This system is powered by the Dynatrace 3^rd generation platform, including:

• Grail, an industry leading, unified data lakehouse that stores metrics, logs, traces, events, user sessions, and business and security data with precise, contextual integrity.
• Smartscape, the real-time dependency graph that continuously and automatically maps relationships and fuels trustworthy, causal insights.

By anchoring agents in environment-specific facts, Dynatrace Intelligence provides a safer, faster, more reliable foundation for autonomous operations.  When Dynatrace benchmarked an external SRE agent working together with its deterministic agents, problems were solved up to 12 times more often, three times faster, and at half the cost compared to tests that did not use deterministic agents.

An Ecosystem of AI Agents

Enterprises can orchestrate built‑in and partner agents, with bidirectional integrations across the broader ecosystem, including ServiceNow, AWS, Microsoft Azure, Google Cloud, Atlassian, GitHub, Red Hat, and more.

The agentic architecture includes:

• Agents that deliver foundational capabilities for trusted operational context through causal reasoning, prediction, and real-time intelligence, and oversight.
• Agents that expand teams by providing insight and guidance to targeted functional areas and personas.
• Ecosystem agents that connect with partner platforms expanding the scope of autonomous action across complex environments.

Advancing Autonomous Operations

With Dynatrace Intelligence, organizations can achieve:

• Self-healing systems in dynamic, AI-driven environments
• Proactive prevention, remediation, and optimization
• Reliable autonomous action, leveraging both built-in agents and collaboration with partner agents, with full visibility and control

Teams remain in command while the system continuously manages operational complexity in the background.

The Journey to Autonomous Operations
Dynatrace Intelligence supports customers on a phased journey toward autonomy. Organizations can start by using AI-driven insights and recommendations, progress to leverage automation for supervised operations with human oversight, and ultimately advance to fully autonomous operations with guardrails and controls. This approach allows customers to safely adopt auto-prevention, auto-remediation, and auto-optimization, while maintaining control and building trust at every step.

“Agentic AI offers enormous potential, but many businesses still struggle to ensure it operates reliably, securely, and with consistent performance in real‑world environments,” said Bernd Greifeneder, Chief Technology Officer and Founder at Dynatrace. “Dynatrace Intelligence fuses deterministic and agentic AI, removing the guesswork and delivering AI‑powered observability organizations can trust.”

“As our digital environment grows more complex, we’re looking to move beyond reactive operations and manual intervention,” said Alexander Bicalho, Senior Director of Engineering at Autodesk. “What Dynatrace is outlining with Dynatrace Intelligence aligns with where we want to go—using trusted data and insights to support more autonomous operations. An approach that connects insight to action, while keeping our teams in control, could significantly improve performance and reliability as we scale. It’s observability that doesn’t just detect problems—it understands them and acts on them reliably.”

“The evolution of observability platforms is moving from manual root cause analysis to preventive operations. Organizations are progressing beyond reactive monitoring toward autonomous operations models that combine deterministic AI with agentic AI systems, with AI agents operating at different autonomy levels to orchestrate workflows across integrated ecosystems that span cloud platforms, development tools, and IT service management systems,” said Stephen Elliot, Group Vice President at IDC.

Additional Resources:

• To learn more about Dynatrace Intelligence, please visit the Dynatrace blog
• To learn more about the announcements made at Perform 2026, please visit the Dynatrace newsroom
• To register to tune into Perform 2026 virtually, please visit the registration page

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities, the expected benefits to organizations from using Dynatrace and AI, and the timing for when any capabilities, features, or functionality are expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

The post Dynatrace Intelligence Redefines Observability with Trusted Agentic Automation appeared first on Dynatrace news.

Dynatrace CEO Rick McConnell, CTO Bernd Greifeneder, and Dynatrace product leaders will assemble in a leadership keynote at 9:00 a.m. PT on Wednesday, January 28 to explore these platform innovations and discuss how enterprises can harness data to advance critical AI initiatives and operate with greater speed and confidence. To register to tune in virtually, visit the registration page.

Innovation announcements launched during Perform include:

Dynatrace debuts Dynatrace Intelligence

Fusing deterministic and agentic AI for reliable outcomes, Dynatrace Intelligence represents the next phase in the evolution of the Dynatrace platform.

Dynatrace Intelligence combines deterministic intelligence grounded in real-time causal context, with agentic AI that can safely reason, decide, and act within defined guardrails. Data is stored and unified in Grail™, and continuously and automatically enriched by Smartscape’s causal topology, fuelling deterministic AI to produce trustworthy, explainable insights.

Dynatrace Intelligence Agents turn action into insight

Built on the industry’s first agentic operations system, Dynatrace Intelligence, Dynatrace Intelligence Agents transform answers to outcomes by taking action across workflows with speed, precision, and governance. These agents have been designed to drive closed-loop autonomous outcomes across IT and business operations.

Dynatrace Intelligence Agents introduce an intuitive model for agentic operations, with customers able to use specialized agents that work together across responsibilities and domains.

Expanded cloud operations capabilities unveiled

New cloud-native integrations from Dynatrace, will give enterprises a clearer, unified view across multi-cloud environments thanks to expanded cloud-native integrations across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

The capabilities will bring visibility into one place, helping teams find and fix issues faster and reduce disruption for end users. Powered by the uniqueness of Grail™, an industry-leading data lakehouse, Smartscape real-time dependency graph, and Dynatrace Intelligence, this combination will apply AI to help organizations understand, automate, and operate through this growing complexity.

Enhanced developer experiences launched

Dynatrace also unveiled new capabilities to transform observability into an active system of control for cloud and AI-native software delivery. With these enhancements, enterprises can evolve observability into a dynamic driver of developer productivity, moving beyond insight alone to an intelligent system that actively guides, optimizes, and protects software delivery in real time.

The innovations announced unify frontend, backend, AI telemetry, database, cloud, and mobile into a single developer-facing experience built on Grail™, Smartscape, and Dynatrace Intelligence. This production-first, AI-native foundation – built for agentic and LLM-driven applications – enables both humans and AI agents to reason about live system behavior, safely experiment in production, and take immediate, targeted action when risk is detected, without redeployments or manual intervention.

Cross-industry Customer Success Spotlighted

Dynatrace spotlighted customers showcasing how they are fuelling business growth with Dynatrace AI Observability.

With the Dynatrace platform as the control plane for AI in production, enterprises have the visibility and governance they need as they adopt agentic AI at scale. This evolution is helping customers manage complexity, ensure compliance, and optimize performance across emerging technologies, with various use cases explored that included Canadian telecoms giant, TELUS.

Advanced Real User Monitoring availability

Dynatrace also announced the launch of next-generation Real User Monitoring (RUM) capabilities, combining front-end telemetry with back-end context, to empower teams to better understand and optimize user experience.

As organizations move toward dynamic, cloud-native ecosystems and build AI-driven applications powered by large language models (LLMs) and other advanced AI services, traditional RUM tools are hitting limitations. Powered by Grail™, Smartscape, and advanced AI, users of Dynatrace can now analyze frontend data alongside logs, metrics, traces, and business events, all within a single platform, enabling precise, end-to-end visibility, faster troubleshooting, and smarter decision-making.

Resources:

• To register to tune into Perform 2026 virtually, visit the registration page.
• To learn more about Perform 2026 announcements, visit the Dynatrace newsroom.
• Dynatrace introduces a new foundation for agentic AI at Perform 2026
• Dynatrace Intelligence at the core of autonomous operations
• Dynatrace MCP Server: Empower your AI assistants to interact with Dynatrace and access live production insights
• Fuel Bedrock agents with observability data via the Dynatrace MCP Server
• Dynatrace Assist: Ask, analyze, and act with Dynatrace Intelligence
• The new Smartscape: Move faster and make better decisions with a real-time dependency graph of all your digital systems
• Unprecedented insights into frontend user experience with Dynatrace Real User Monitoring

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities, the expected benefits to organizations from using Dynatrace and AI, and the timing for when any capabilities, features, or functionality are expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

The post Dynatrace Perform 2026 Ignites a New Era of Autonomous Intelligence and Innovation appeared first on Dynatrace news.

As digital systems grow more intricate and threat landscapes continue to advance, Dynatrace equips organizations across development, security, IT, and business with intelligent analytics for proactive, secure progress. Fusing strong monitoring with robust security features, Dynatrace’s innovative AI enables companies to streamline and protect cloud operations, empowering organizations to confidently deliver high-quality digital services and stay resilient in rapidly changing environments.

“Dynatrace turns enterprise AI’s scale and complexity into actionable clarity with its advanced AI-powered observability,” said Shashank Rajmane, Senior Manager and Principal Analyst, ISG, who co-authored the report with Partha Sarathi Chakraborty, Senior Lead Analyst, ISG. “The company’s innovation-first mindset continues to fortify its thought leadership, consistently redefining observability with breakthrough capabilities that help enterprises stay ahead of change. Delivering rich context-driven cloud-native security capabilities that allow it to detect and interpret risks in real-time, this ability to connect performance, UX and threat data gives it a distinct edge that helps serve large enterprises today.”

“We are honored to be recognized as a Leader by ISG for the sixth consecutive year,” said Steve Tack, Chief Product Officer, Dynatrace. “Our strong strategic partnerships with providers such as AWS, Azure and Google Cloud are helping global enterprises gain deeper visibility into their cloud and AI workloads as observability complexity increases. This continued recognition of our ability to unify security and observability, empowered by recent agentic SRE integrations as dependency on AI grows, is something we’re immensely proud of. We look forward to setting a new benchmark for cloud-native reliability as the year progresses.”

A complimentary copy of the report is available here.

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities and the expected benefits to organizations from using Dynatrace. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

The post Dynatrace Named a Leader in 2025 ISG Provider Lens® Multi Public Cloud Solutions Report for Cloud-Native Observability and Security appeared first on Dynatrace news.

According to Gartner, The Voice of the Customer report “synthesizes Gartner Peer Insights” for buyers of technology and services. This aggregated peer perspective, along with the individual detailed reviews, is complementary to Gartner for expert research and can play a key role in your buying process. Peers are verified reviewers of a technology product or service, who not only rate the offering, but also provide valuable feedback to consider before making a purchase decision.” 

Within the Observability Platforms Report, customers rated Dynatrace product capabilities 4.7 out of 5.0 stars, with 93% saying they would recommend Dynatrace solutions. Reviews were received in the 18-month period ending October 31, 2025. Dynatrace reviews in the report include the following: 

• “Best-in-Class observability platform for modern architectures.” ~Senior Product Manager 

• “Shortest time to AI-based insights… Amazing time to value with granular details. Davis AI implemented at the heart makes [it] much easier to identify issues.” ~APM Professional 

• “Provides deep monitoring for application and infrastructure and integrates with CI/CD.” ~VP, Engineering 

• “On top of all the technical capabilities, the customer support from Dynatrace is above all expectations.” ~Director of Procurement 
• “Dynatrace is an exceptional platform… Excellent link logs, metrics and traces empower us to effectively identify the root cause of issues, reducing mean time to resolution and maintaining ideal application performance.” ~Network and Security Engineer 

“We’re honored that Dynatrace has been recognized as a Customers’ Choice in the 2025 Gartner Peer Insights Voice of the Customer for Observability Platforms,” said Steve Tack, Chief Product Officer at Dynatrace. “As agentic AI transforms how enterprises operate; the complexity of digital environments continues to grow exponentially. Our customers require solutions that go beyond traditional observability and provide in-depth insights and confidence, enabling them to drive greater resilience and innovation. In our opinion, this recognition reflects our ongoing commitment to meeting that need.” 

In 2025, Gartner also named Dynatrace a Leader in the Magic Quadrant™ for Observability Platforms for the 15th consecutive time, with the highest position for Ability to Execute. 

Gartner Disclaimers 

Gartner, Voice of the Customer for Observability Platforms, Peer Community Contributors, 24 December 2025. 

Gartner, Magic Quadrant for Observability Platforms, Gregg Siegfried, Matt Crossley, Padraig Byrne, Andre Bridges, Martin Caren, 7 July 2025 

Gartner and Peer Insights™ and Magic Quadrant™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. 

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. 

Cautionary Language Concerning Forward-Looking Statements 

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities and the expected benefits to organizations from using Dynatrace. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise. 

The post Dynatrace Recognized as a Customers’ Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer for Observability Platforms Report appeared first on Dynatrace news.

A structural shift: reliability as the gating factor

The research found that approximately ~50% of projects are in Proof-of-Concept (POC) or pilot stage.  Adoption is still early but growing rapidly with 26% of organizations having 11 or more projects. As organizations move beyond experimentation and into scaled deployment, they are increasingly seeking platforms that are reliable, trustworthy, and proven.

This shift is reflected in both ambition and execution, with 74% expecting budgets to rise again next year. These findings point to a structural inflection point where reliability, resilience, governance, and real-time insight define enterprise readiness for agentic AI.

Key findings from the report:

• Almost half (48%) of the senior global leaders surveyed anticipate budget increases of at least $2M, suggesting investments are still prudent.
• AI agents are most commonly deployed within IT operations and DevOps (72%), followed by software engineering (56%) and customer support (51%).
• Of those surveyed, business leaders say improving decision-making with real-time insights is top priority (51%) when deploying agentic AI, followed closely by improving system performance and reliability (50%) and improving internal efficiency to reduce operational costs (50%).
• The greatest ROI expected for agentic AI projects is in ITOps/system monitoring (44%), cybersecurity (27%) and data processing & reporting (25%).
• The top two main barriers to agentic AI production at this time are security, privacy or compliance concerns (52%) and technical challenges to managing and monitoring agents at scale (51%), followed by shortage of skilled staff or training (44%).

Trust and human oversight

Organizations signal that human guidance remains a purposeful part of agentic AI strategy, even as they build toward greater autonomy. The report shows leaders expect a 50/50 human–AI collaboration for IT and routine customer-support applications and a 60/40 human–AI collaboration for business applications, signaling that human judgment guides the system by setting goals, defining boundaries, and ensuring accountability.

Additional findings include:

• While over half (64%) of organizations deploy a mix of autonomous and human-supervised agents, 69% of agentic AI–powered decisions are still verified by humans, and 87% of organizations are actively building or deploying agents that require human supervision.
• Only 13% of organizations use fully autonomous agents, and just 23% rely exclusively on human‑supervised agents.
• The top validation methods include data quality checks (50%), human review of agent outputs (47%), and monitoring for drift or anomalies (41%).
• 44% still use manual methods to review communication flows among AI agents, highlighting the need for more automated, governed oversight mechanisms. Autonomy.

“Organizations are not slowing adoption because they question the value of AI, but because scaling autonomous systems safely requires confidence that those systems will behave reliably and as intended in real-world conditions,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace. “With most enterprises now spending millions of dollars annually and planning further budget increases, agentic AI is becoming a core part of digital operations. At the same time, the data shows a clear shift underway. While human oversight remains essential today, organizations are increasingly preparing for more autonomous, AI-driven decision-making. The focus is now on building the trust and operational reliability needed to scale agentic AI responsibly.”

Observability enables trust and scale for Agentic AI

As organizations scale agentic AI beyond pilot projects, observability is the crucial intelligence layer that helps to build trust by providing visibility across every stage of the agentic AI lifecycle, from development and implementation through to operationalization. The report found that observability is already used across the entire lifecycle, with the highest adoption during implementation (69%), followed by operationalization (57%) and development (54%), underscoring its role as a foundational capability as agentic AI moves into production.

Additionally, the report found:

• Nearly 70% of organizations surveyed already use observability during agentic AI implementation to gain real-time visibility into agent behavior, system performance, and decision-making in production environments
• 50% use agentic AI for both internal and external use cases, 33% for internal purposes only, and 18% for external purposes only.
• 50% have agentic AI projects in production for limited use cases, 44% have projects in broad adoption across select departments, and 23% have projects in mature, enterprise-wide integration.

“Observability is a vital component of a successful agentic AI strategy,” continued Reitbauer. “The Dynatrace AI Center of Excellence (AI CoE) works with many of our largest customers, and as organizations push toward greater autonomy, they need real-time visibility into how AI agents behave, interact, and make decisions. Observability not only helps teams understand performance and outcomes, but it provides the transparency and confidence required to scale agentic AI responsibly and with appropriate oversight.”

Download the full report here: The Pulse of Agentic AI 2026: Balancing innovation with control from pilot to production.

Methodology

This report is based on a global survey of 919 senior leaders and decision makers directly involved in or responsible for agentic AI development and implementation in large enterprises with annual revenues of $100 million or more. It was conducted and analyzed by Qualtrics partner Y2 Analytics on behalf of Dynatrace during November and December 2025. The sample included 206 respondents in the US, 85 in Latin America, 380 in Europe, 81 in the Middle East, and 196 in Asia Pacific.

Additional Resources

• Autonomous operations hit inflection point: New agentic AI report reveals what’s fueling scale (and blocking it)

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities and platform and the expected current and future benefits to organizations from using the Dynatrace platform. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document because of new information, future events, or otherwise.

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The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue. U.S. businesses are reporting an average of over five major outages each year, with 63% occurring during peak trading periods, amplifying the financial impact.

“Consumer-facing businesses in the U.S. are navigating an increasingly treacherous landscape,” said Chris Kronenthal, President at FreedomPay. “From widespread outages and connectivity issues to the fragility of existing payment infrastructure, disruption has become a constant. This environment creates a perfect storm for significant revenue loss and long-term damage to customer loyalty and brand reputation.”

Key findings from the study include:

• Ongoing Annual Losses & Frequency: Payment system failures are putting a staggering $44.4 billion in U.S. retail and hospitality sales at risk each year. U.S. businesses average over five payment disruptions annually, with 63% occurring during critical peak trading hours.
• Patience Gap Drives Revenue Loss: Consumers will wait just 7 minutes before abandoning a purchase, yet the average outage drags on for two hours. Once the patience runs out, losses escalate fast and U.S. businesses forfeit roughly $1.2 billion in sales per minute between minutes 8 and 13. By the 23-minute mark, cumulative losses can hit $5.3 billion, wiping out 70% of all at-risk revenue.
• Vulnerable Without Reliable Fallbacks: With less than 30% of U.S. consumers consistently carrying cash, and 15% of businesses lacking any secure digital payment backups, merchants are left highly exposed when digital systems fail.
• Reputational and Human Impact: Beyond financial impact, payment failures expose brands to significant reputational damage among digitally savvy consumers and contribute to 60% of managers reporting verbal abuse towards frontline staff.

“This research shows that payment disruption becomes a business problem long before it is uncovered as a technical one,” said Philippe Deblois, Global Vice President of Solutions Engineering at Dynatrace. “When payment systems fail, time is the most expensive variable. In complex environments, delays happen when teams can’t quickly see where a problem starts or how systems are connected. Customers don’t wait for that clarity. They leave, and revenue is lost within minutes.”

“Our research shows that the financial impact of payment outages is significant, but the erosion of consumer trust and brand loyalty can cause equally devastating damage,” said Richard Lim, CEO at Retail Economics. “Investing in robust payment infrastructure and the ability to proactively observe potential points of failure is essential for safeguarding future growth, maintaining a competitive edge, and prioritizing long-term consumer preference.”

The full U.S. study can be found here.

About FreedomPay

FreedomPay is the global leader in Next Level Commerce™—transforming the way businesses power payments and experiences across the world. More than a payment solution, FreedomPay is a world-class independent payment gateway engineered to simplify complexity, break down the barriers of legacy systems, and revolutionize every point of interaction—whether in-store, online, or mobile. Chosen by the leading brands across retail, hospitality, sports and entertainment, food service, healthcare and higher education, FreedomPay delivers technology strength, integration breadth, and deep expertise in global payments innovation.

As one of the first solutions in North America validated by the PCI Security Standards Council for P2PE, FreedomPay sets the gold standard for payment security, trust, and performance. With a unified technology stack, lightning-fast APIs, and integrated solutions across payments, FreedomPay gives businesses total peace of mind plus the freedom to choose any hardware provider. Move faster, act smarter, and lead markets—not chase them. www.freedompay.com

About Retail Economics

Retail Economics is an independent economics research consultancy focused on B2B thought leadership in the consumer and retail industry. We analyze the complex retail economic landscape and draw out actionable insight for our clients. Leveraging our own proprietary retail data and applying rigorous economic analysis, we transform information into points of action.

Our service provides unbiased research and analysis on the key economic and social drivers behind the retail sector, helping to inform critical business decisions, giving you a competitive edge through deeper insights.

The post Payment Outages Threaten $44.4 Billion in U.S. Retail & Hospitality Sales Annually appeared first on Dynatrace news.

The Dynatrace Gemini CLI Extension gives developers immediate access to observability and root-cause analysis directly within their terminal, allowing them to monitor, debug, and optimize applications without leaving their workflow.  

Complementing this, Gemini Enterprise connects AI agents directly to Dynatrace’s observability platform via Google’s A2A protocol, enabling real-time collaboration between systems to help detect, resolve, and prevent issues across complex environments.   

To simplify adoption, Dynatrace AI-driven integrations are now available through Google Cloud Marketplace, enabling customers to deploy and scale agentic AI solutions quickly and securely within their existing Google Cloud environments. 

Dynatrace is among the first observability partners with a Google-validated A2A and Gemini Enterprise-compatible agent, demonstrating that its technology meets Google Cloud’s standards for performance and reliability. This achievement places Dynatrace within Google Cloud’s validated partner ecosystem, reinforcing its leadership in AI-powered observability and agentic architectures. 

“Our expanded partnership with Google Cloud reflects Dynatrace’s leadership position in observability and our commitment to shaping how AI transforms cloud operations,” said Jay Snyder, SVP of Partners and Alliances, Dynatrace. “As a launch collaborator for both Gemini Enterprise and Gemini CLI extensions, we’re working with Google Cloud at the forefront of AI and observability innovation, helping customers build intelligent, reliable systems that adapt and optimize in real time.” 

“Accelerating AI across the enterprise requires a visibility that connects developer innovation directly with operational resilience,” said Mitch Ashley, VP and Practice Lead, Futurum Research. “Dynatrace’s Gemini CLI Extension, combined with Dynatrace’s Agent-to-Agent (A2A) integration into Gemini Enterprise, removes friction and increases velocity for operations to keep the enterprise in the flow of utilizing agentic AI as a scalable core business driver.” 

Resources: 

• Partners Powering the Gemini Enterprise Agent Ecosystem 

• Scaling AI Agents with Google Cloud Marketplace and Gemini Enterprise 

• Now Open for Building: Introducing Gemini CLI Extensions 

• When Your Service Won’t Wait: Troubleshooting EasyTrade with Dynatrace MCP and Gemini CLI 

Cautionary Language Concerning Forward-Looking Statements 

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s and Google Cloud’s respective capabilities and the expected benefits to organizations from the partnership between Dynatrace and Google Cloud, and from using Dynatrace and Google Cloud. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

The post Dynatrace Expands Collaboration with Google Cloud to Help Power the Next Generation of AI Innovation appeared first on Dynatrace news.

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 metadata 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.

Resources:

• AWS re:Invent 2025 Guide: Accelerate Into the Age of Agentic with AI Powered Observability

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s and AWS’s respective capabilities and the expected benefits to organizations from integrations between Dynatrace and AWS, and from using Dynatrace and AWS. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

The post Dynatrace Expands AWS Integrations at re:Invent 2025; Achieves AWS Agentic AI Specialization and Named AWS Public Sector Technology Partner of the Year for LATAM appeared first on Dynatrace news.

Solving the Visibility Gap in Agentic Architectures 

AI agents are rapidly emerging as a new paradigm for unlocking productivity gains, yet visibility into their behavior and performance remains limited. The integration between Dynatrace and AWS addresses this challenge by providing comprehensive, real-time observability across agentic workflows. Through its integration with Amazon Bedrock AgentCore, Dynatrace converts agent telemetry into actionable insights, enabling teams to: 

• Monitor agent reliability and responsiveness at the trace level  

• Set up intelligent alerting on key metrics 

• Visualize agent-to-service interactions through a real-time topology map 

• Debug distributed agent workflows 

• Oversee compliance and governance in AI-driven systems

Strategic Alignment and Developer Enablement 

This integration underscores Dynatrace’s commitment to advancing AI-driven observability and strengthening collaboration with hyperscalers like AWS, enabling enterprises to more rapidly adopt agentic and generative AI technologies. By delivering comprehensive telemetry, causal AI analytics, and seamless integration with AgentCore, Dynatrace empowers developers, cloud architects, and operations teams to accelerate time-to-value, simplify deployment, and provide trust and reliability in autonomous agent environments.  

“At Storio group, we’re committed to leveraging AI to drive smarter, more responsive digital experiences,” said Alex Hibbitt, Engineering Director, Customer Platform at Storio group. “Dynatrace’s integration with Amazon Bedrock AgentCore gives us the real-time observability we need to confidently scale agentic architectures. It’s a powerful step forward in building intelligent systems that are both reliable and secure.” 

“As agentic architectures redefine how enterprises build and operate intelligent systems, observability becomes the foundation for trust and innovation,” said Steve Tack, Chief Product Officer at Dynatrace. “Our integration with Amazon Bedrock AgentCore delivers the transparency and insight teams need to confidently scale autonomous AI, helping them accelerate delivery with greater reliability.” 

Availability 

Dynatrace AgentCore integration is generally available. A joint showcase is planned for AWS re:Invent 2025, with live demos and presentations at booth #575.  

Resources 

• Amazon Bedrock AgentCore General Announcement  

• Make Agents a Reality with Amazon Bedrock AgentCore: Now Generally Available 

• Dynatrace blog announcing Amazon Bedrock AgentCore Agent Observability  

Cautionary Language Concerning Forward-Looking Statements 

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s and AWS’s respective capabilities and the expected benefits to organizations from the integration between Dynatrace and AWS, and from using Dynatrace and AWS. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise. 

The post Dynatrace Integrates with Amazon Bedrock AgentCore to Deliver End-to-End Observability for Agentic AI on AWS appeared first on Dynatrace news.

This new solution is purpose-built to empower platform teams to proactively manage cloud-native operations with unprecedented clarity and control. By providing comprehensive visibility into customers’ Azure environments, the experience aims to deliver deeper observability, helping customers prevent issues, remediate with ease, and optimize at scale.  

As part of Microsoft Ignite, Dynatrace is showcasing how its platform powers Agentic and Generative AI initiatives in the Microsoft Azure cloud. By delivering AI-driven insights and automation, Dynatrace helps organizations eliminate complexity, accelerate cloud adoption, and enhance performance across their Microsoft ecosystem. 

Key enhancements of the new cloud solution include: 

• Comprehensive Visibility: Enables teams to gain deeper insight into cloud environments through expanded telemetry and metadata, supporting Agentic and Generative AI initiatives with seamless integration across Azure services. 

• Auto-Prevention: Proactive detection and prevention of emerging risks with ready-made health alerts, warning signals, and custom alert templates, empowering teams to proactively address issues in cloud-native workloads running on Azure Kubernetes or AI Foundry services. 

• Auto-Remediation: Intelligent automation helps address issues as they arise, reducing the likelihood of impact on end-users, whether workloads run on Azure Virtual Machines or Azure Functions. 

• Auto-Optimization: Continuous assessment and analysis of cloud resource utilization to enable optimal performance and cost efficiency. 

“With the updated cloud solution from Dynatrace, we are setting a new standard for cloud operations,” said Steve Tack, Chief Product Officer at Dynatrace. “By delivering a best-in-class solution that provides customers with complete visibility into their Azure environments, we are helping them move closer to fully autonomous operations. We remain committed to empowering our customers to do more with less, enabling them to drive innovation in the cloud while maintaining visibility and control over increasing complexity.” 

“We’re pleased to collaborate with Dynatrace to bring the powerful Dynatrace AI engine and advanced observability capabilities to Microsoft Azure customers,” said Heather Deggans, Vice President, Americas SDC Sales at Microsoft. “By integrating these innovations with Azure, we believe organizations can accelerate their cloud transformation, simplify operations, and achieve new levels of performance and reliability. This partnership will help empower our customers to fully leverage cloud and AI to drive meaningful business outcomes.” 

At Microsoft Ignite, Dynatrace will demonstrate how its platform empowers Agentic and Generative AI initiatives in Azure, helping organizations accelerate innovation and optimize performance through AI-driven automation. The preview for the new Dynatrace cloud operations solution is active now, with broader availability planned for early 2026. Existing customers interested in early access are invited to register for the preview here and help shape the future of cloud operations.  

Visit Dynatrace at Microsoft Ignite at booth 5438 to request a demo or join Dynatrace Quest to meet with an expert. 

Resources: 

• Also announced today: Dynatrace and Microsoft Partner to Scale Enterprise Customer AI Initiatives
• Preview: Participate in product previews to become a key part of our development process, ensuring that our solutions continue to meet your needs. 

• Microsoft Ignite 2025: Turn complexity into a strategic asset in the age of AI

Dynatrace Cautionary Language Concerning Forward-Looking Statements 

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s and Microsoft Azure’s respective capabilities and the expected benefits to organizations from using the Dynatrace cloud operations solution for Microsoft Azure. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document because of new information, future events, or otherwise.

The post Dynatrace Announces New Cloud Operations Solution for Microsoft Azure appeared first on Dynatrace news.

According to Gartner®, “worldwide spending on AI is forecast to total nearly $1.5 trillion in 2025.” As organizations continue to accelerate their AI investments, gaining end-to-end visibility into the entire digital ecosystem and automating operations is increasingly critical. With the agentic integration of Dynatrace in the Azure portal, customers are empowered to achieve these goals with greater confidence. 

The integration combines AI-driven root cause analysis from Dynatrace with deeper insights from Azure SRE, allowing teams to fix complex problems in large-scale IT environments faster and more efficiently. The integration also unlocks streamlined remediation processes, including remediation hints, to support accelerated incident resolution and reduced outages. This allows teams to focus on innovation and driving the business forward. 

Key benefits of the integration include: 

• Smarter detection and remediation:  Deep contextual observability from Dynatrace correlates with Azure telemetry to enhance issue identification and resolution across complex environments.  

• Automated operations: Routine runbook actions and diagnostic workflows are automated, reducing mean time to repair and freeing teams to focus on innovation. 

• Proactive reliability: Continuous analysis of real-time and historical data reveals leading indicators of failure, helping teams prevent incidents before they impact customers. 

“The AI capabilities jointly delivered by Dynatrace and Microsoft take our customers one step closer to driving autonomous operations across their complex environments,” said Scott Hunter, VP, Product Management of Core AI & Engineering at Microsoft. “With continuous, automatic real-time insights and analysis, teams have more time to focus on driving innovation.”  

“Enterprises today are operating in increasingly complex cloud environments, where disparate systems and lack of visibility can hinder innovation,” said Steve Tack, Chief Product Officer at Dynatrace. “Customers need more than alerts – they need AI that acts. This integration strengthens Dynatrace’s vision for agentic AI, delivering intelligent, automated observability across the Microsoft ecosystem, and helps enterprises not only identify issues, but automate remediation at scale.” 

Dynatrace customer FreedomPay will co-present on its generative and agentic AI vision during Microsoft Ignite, November 18–21, 2025.  Visit us at booth 5438 to see a demo, join Dynatrace Quest, meet with an expert, or learn how Dynatrace can help you achieve seamless observability. 

Resources: 

• Microsoft Ignite 2025: Turn complexity into a strategic asset in the age of AI

• Theater Session: Optimize AI Workloads on Azure with Dynatrace
• Boost cloud reliability: Dynatrace and Azure SRE Agent unite for autonomous operations 

Gartner Press Release, Gartner Says Worldwide AI Spending Will Total $1.5 Trillion in 2025, September 17, 2025 

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. 

Dynatrace Cautionary Language Concerning Forward-Looking Statements 

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s and Microsoft’s respective capabilities and the expected benefits to organizations from the integration between Dynatrace and Microsoft, and from using Dynatrace and Microsoft. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.    

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“Digital experiences have become the primary channel for customer interactions, making real-time insights into their digital infrastructure critical for ensuring performance, reliability, and trust,” said Steve Tack, Chief Product Officer at Dynatrace. “We believe that being recognized by Gartner as a Leader in the Digital Experience Monitoring report since its inception reflects our ongoing commitment to empowering customers to turn complexity into insights and action across their environments. We remain committed to delivering innovative product solutions that allow our customers to continue raising the bar for the customer experience.” 

In the 2025 Gartner Peer Insights™ Voice of the Customer for Digital Experience Monitoring report, Dynatrace was the only vendor identified as a Customers’ Choice. The company was also recognized as a Leader and positioned highest in Execution in the 2025 Gartner Magic Quadrant for Observability Platforms.  In the 2025 Gartner Critical Capabilities for Observability Platforms Report, Dynatrace ranked highest in the following Use Cases: Cost Optimization (4.32/5), Site Reliability Engineering (4.3/5), Business Insights (4.3/5) and AI Engineering (4.29/5).  

Gartner Disclaimers 

Gartner, Magic Quadrant for Digital Experience Monitoring, Padraig Byrne, Pankaj Prasad, DB Cummings, Martin Caren, and Tanmay Bisht, 27 October 2025 

Gartner, Peer Insights Voice of the Customer for Digital Experience Monitoring, By Peer Contributors, 23 May 2025 

Gartner, Magic Quadrant for Observability Platforms, Gregg Siegfried, Matt Crossley, Padraig Byrne, Andre Bridges, Martin Caren, 7 July 2025 

Gartner, Critical Capabilities for Observability Platforms, Matt Crossley, Gregg Siegfried, Padraig Byrne, Andre Bridges, Martin Caren, 8 July 2025 

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, MAGIC QUADRANT and PEER INSIGHTS are registered trademarks of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. 

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. Reviews have been edited to account for errors and readability. 

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.  

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As enterprises increasingly invest in agentic AI to drive operational efficiency, Dynatrace and ServiceNow are aligning solutions to enable more proactive and intelligent operations. Together, Dynatrace and ServiceNow will empower customers to drive better outcomes, optimize services, and provide seamless digital experiences that drive customer and employee satisfaction.

In addition, Dynatrace will deploy ServiceNow for Enterprise Service Management, HR Service Delivery, and Asset Management. ServiceNow will leverage Dynatrace’s observability platform to support its digital operations. The companies will use insights from their deployments to inform ongoing enhancements to integrations and the overall customer experience, to deliver faster implementation and impact for customers.

“Autonomous IT is the future, and our collaboration with Dynatrace is about accelerating Zero Outage outcomes for enterprises today,” said Rahul Tripathi, group vice president and general manager, ITSM and ITOM at ServiceNow. “By bringing together real-time, AI powered observability from Dynatrace with ServiceNow’s AI-powered IT Service & Operations Management, we’re empowering IT teams to move beyond traditional operations into a new era of proactive systems that continuously learn, adapt, and self-heal at scale.”

“Dynatrace and ServiceNow are partnering to turn real-time observability into trustworthy, autonomous action across the software delivery lifecycle,” said Steve Tack, chief product officer at Dynatrace. “We help customers anticipate issues, coordinate remediation, and continuously optimize services by combining deterministic and agentic AI, bringing them closer to autonomous prevention, remediation, and optimization at enterprise scale.”

Dynatrace and the Dynatrace logo are trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners. © 2025 Dynatrace LLC.

About ServiceNow

ServiceNow (NYSE: NOW) is putting AI to work for people. We move with the pace of innovation to help customers transform organizations across every industry while upholding a trustworthy, human centered approach to deploying our products and services at scale. Our AI platform for business transformation connects people, processes, data, and devices to increase productivity and maximize business outcomes. For more information, visit: www.servicenow.com.

Dynatrace Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s and ServiceNow’s respective capabilities and the expected benefits to organizations from the collaboration and partnership between Dynatrace and ServiceNow, and from using Dynatrace and ServiceNow. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

ServiceNow Forward-looking Statements

This press release contains “forward-looking statements” about the expectations, beliefs, plans, and intentions relating to Dynatrace and ServiceNow’s partnership. Such statements include statements regarding future product capabilities and offerings and expected benefits to ServiceNow. Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, ServiceNow’s results could differ materially from the results expressed or implied by the forward-looking statements made. ServiceNow undertakes no obligation, and does not intend, to update the forward-looking statements. Factors that may cause actual results to differ materially from those in any forward-looking statements include: (i) delays and unexpected difficulties and expenses in executing the product capabilities and offerings, (ii) changes in the regulatory landscape related to AI and (iii) uncertainty as to whether sales will justify the investments in the product capabilities and offerings. Further information on factors that could affect ServiceNow’s financial and other results is included in the filings ServiceNow makes with the Securities and Exchange Commission from time to time.

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