September 2025 Summaries

Enterprise adoption of generative AI is accelerating across various industries due to its potential to enhance efficiency, automate routine tasks, and generate content, thereby offering a competitive edge. Dynatrace has solidified its role as a prominent observability partner by achieving the Amazon Web Services Generative AI Competency, building on its prior AWS Machine Learning Competency. This achievement validates Dynatrace's capability to help organizations safely and effectively integrate generative AI into their operations, ensuring reliable and secure systems through its AI-powered observability platform. By leveraging predictive insights and seamless AWS integration, Dynatrace enables organizations to manage costs, risks, and performance, fostering innovation and improving customer experiences. For existing and new customers, this milestone underscores Dynatrace’s commitment to advancing AI technologies, ensuring that their investments remain relevant as generative AI becomes integral to modern cloud operations.

Dynatrace has been acknowledged by Glassdoor as one of the 50 best-led organizations in the US, an accolade based on employee feedback regarding company leadership, specifically focusing on the CEO and senior leadership. This recognition underscores the company's emphasis on leadership as a mindset that permeates its culture, influencing employee engagement, innovation, and the provision of meaningful customer experiences. Dynatrace attributes its success to visionary leaders like CEO Rick McConnell and CTO Bernd Greifeneder, who foster an environment where employees feel safe to express themselves and challenge ideas. The company invests in its leadership through tailored learning and development programs aimed at nurturing both new and seasoned leaders. Dynatrace believes in a collective approach to leadership, where growth and empowerment are shared responsibilities that drive the organization forward, ultimately contributing to a world where software works seamlessly and businesses gain deeper insights.

Agentic AI applications face challenges in delivering reliable and high-performing models due to complex multi-cloud environments and non-deterministic behaviors. Effective deployment requires comprehensive telemetry and standardized metrics for monitoring and improving models, alongside addressing issues like hallucinations and degraded performance. The rapid evolution of AI models by providers such as OpenAI and Anthropic introduces risks, including deprecation of older versions and automatic upgrades that may disrupt applications. To counter these, AI Model Versioning and A/B testing offer a unified view to compare models, identify bottlenecks, and ensure improvements in latency, reliability, and cost-effectiveness. Distributed tracing helps debug errors by tracking requests from input to completion, while real-time monitoring of token usage and security risks enhances system robustness. The AI Observability app allows users to analyze model performance with minimal setup, fostering proactive incident prevention through continuous learning and adaptation. Future enhancements will focus on multi-cloud setups, advanced visualization, and intelligent forecasting to further optimize AI services.

Dynatrace's integration with Microsoft Sentinel aims to enhance security and observability by providing unified, contextualized insights across various tools and environments, which helps reduce alert noise and prioritize critical issues for efficient remediation. This collaboration addresses the challenges posed by siloed organizational structures, where development, operations, and security teams often use different tools and lack proper communication, hindering the maintenance of healthy applications. Microsoft Sentinel, a cloud-native SIEM platform, unifies data from multiple sources for security threat management and integrates seamlessly with Microsoft Defender and other third-party connections. Dynatrace, an AI-powered observability platform, uses its Davis AI to automatically analyze root causes and guide remediation, enabling stakeholders to access security and performance insights from a singular platform. The integration utilizes Azure Event Hubs and Dynatrace's OpenPipeline for continuous alert export and contextualization, allowing teams to visualize, analyze, and automate responses to security findings with dashboards, notebooks, and workflows. This integration not only simplifies data ingestion and monitoring setups but also supports evolving use cases for deeper insights and quicker, more confident actions.

Executives are tasked with driving change by balancing the speed of modernization with its inherent risks, and Dynatrace emerges as a vital tool in this process. By anticipating customer needs and leveraging cloud-native technologies, executives can future-proof their businesses. Dynatrace offers a platform that enhances AIOps and AISecOps strategies through hypermodal AI, enabling automation and predictive operations to deliver secure and efficient software. The platform facilitates accelerated software delivery by integrating with cloud ecosystems and DevOps toolchains, thus optimizing automation across the software lifecycle. Additionally, the "extend left" approach advocated by Dynatrace promotes a balance between decentralized innovation and centralized oversight, enhancing team productivity and allowing organizations to stay ahead in a rapidly changing market. The blog series promises to explore these concepts further, providing executives with the insights needed to unlock the full potential of Dynatrace.

In the evolving landscape of software deployments and cloud infrastructure, Davis® AI root cause analysis is a critical tool for Operations, Site Reliability, and DevOps teams. It enhances productivity by reducing Mean Time to Repair (MTTR) and minimizing the personnel required for incident management. As traditional observability tools struggle to keep up with the demands of automated deployments through platforms like Kubernetes, AI-assisted observability becomes essential. Dynatrace's Root Cause Analysis (RCA) integrates diverse data types including logs, traces, and metrics, offering real-time analysis to address incidents effectively. The new Dynatrace Problems app leverages the Grail™ data lakehouse to provide a comprehensive view of incidents, prioritizing active issues and facilitating quick remediation. Its features include a problem feed for incident triage, AI-generated summaries for swift resolution, and a seamless integration of root-cause information into the user context, all of which significantly streamline operations. The app also supports collaboration and automation, allowing teams to set up alerts and execute no-code workflows for rapid response. Looking forward, Dynatrace plans to enhance transparency with additional features like application maps and improved problem feed segmentation, solidifying its role as an indispensable tool for managing modern software and cloud environments.

Dynatrace leverages its advanced AI capabilities to enhance the efficiency and reliability of digital services by predicting and preventing issues before they impact customers, as well as automating root-cause analysis for swift remediation of unavoidable outages. Its unique combination of causal, predictive, and generative AI allows for proactive incident management, reducing mean time to repair (MTTR) by up to 90%, and facilitating seamless software delivery and autonomous cloud operations. Dynatrace's approach integrates observability with platform engineering, continuous delivery, and automated operations, supporting IT and development teams in maintaining compliance and optimizing cloud costs while focusing on business-impacting metrics such as user experience and strategic considerations. With the increasing complexity of cloud-native technologies, Dynatrace aids organizations in meeting heightened expectations for digital system availability, as emphasized by new regulatory frameworks like the Digital Operational Resilience Act (DORA) in Europe. The platform's observability and security convergence aims to further minimize availability issues, offering executives insights into customer impacts and automating responses to maintain service quality and compliance.

Dynatrace is committed to enhancing the security of U.S. public sector systems by aiming to meet the Federal Risk and Authorization Management Program's High baseline (FedRAMP High), which addresses the government’s most sensitive unclassified data in cloud environments. Building on its existing FedRAMP Moderate Impact level authorization, StateRAMP authorization, and other security attestations, Dynatrace is equipped with multiple agency Authorizations to Operate (ATO) across various sectors, including the civilian and Department of Defense sectors. The platform offers AI-driven, full-stack observability and application security, empowering government agencies to advance beyond basic monitoring and analytics by providing precise insights and intelligent automation. This ensures the performance and security of all devices, applications, and users across various environments, including cloud, data centers, and air-gapped locations, making Dynatrace a trusted partner for federal, state, and local agencies in delivering secure and resilient digital services.

The text discusses the challenges faced by security analysts in combating increasingly sophisticated cyberattacks, highlighting the use of generative AI by both attackers and defenders to enhance their strategies. It emphasizes the importance of threat-hunting techniques based on Tactics, Techniques, and Procedures (TTPs), particularly through the use of Dynatrace Security Analytics and Grail. The approach integrates logs, metrics, traces, and threat alerts for a comprehensive view of attacks, allowing analysts to detect and block threats in real time and map attack components to MITRE ATT&CK techniques. A demonstration using the insecure cloud-native demo application "Unguard" illustrates how Dynatrace, combined with Falco and falcosidekick, can identify multi-step attacks and visualize MITRE techniques to prioritize monitoring and communication of business risks. The text underscores the value of context-rich analytics and observability data in threat hunting, facilitating the rapid identification of complex attack chains through Dynatrace's advanced querying capabilities.

In the highly competitive world of Formula One racing, where milliseconds can determine the outcome, the partnership between Dynatrace and Visa Cash App Racing Bulls (VCARB) exemplifies the critical role of data-driven decision-making in both sports and business. Dynatrace, known for its AI-powered observability and automation platform, aligns with VCARB's culture of performance obsession by providing the tools necessary to navigate complex data and drive innovation. This collaboration highlights the parallels between managing the intricate telemetry of a modern F1 car and the complexities faced by enterprises dealing with vast data ecosystems. By unifying and analyzing data in real time, both on the racetrack and in business, teams can make precise decisions that propel them to success. The partnership not only underscores the shared values of performance and data trust but also celebrates the human and technological synergy required to excel in competitive environments. As VCARB's CEO Peter Bayer emphasizes, Dynatrace's ability to analyze and focus on critical data areas is essential for F1 success, mirroring the transformative potential of intelligent automation and data insight in the digital age.

In the context of advanced threat detection and response, this blog post discusses the importance of automated, multi-layered defense systems over manual analysis for handling security incidents. It highlights the use of runbooks for coordinating tools and processes during security breaches and emphasizes the necessity of integrating automation into these workflows for effective incident detection and response. The post introduces Dynatrace Automations as a solution for creating custom runbooks tailored to specific business risks, and demonstrates a comprehensive approach to combat security threats using honeytokens and eBPF-based detection. The process involves deploying policies in a Kubernetes cluster, integrating Tetragon for eBPF-based monitoring, and automating the response to incidents by tracking and blocking attackers' IP addresses. The blog also covers the use of Kyverno for policy management, the Dynatrace Query Language (DQL) for querying logs, and the creation of pull requests and security tickets for ongoing incident management. The overall aim is to showcase how Dynatrace's platform can streamline security operations by automating responses and providing context-specific insights, thus enhancing protection in cloud-native environments.

Dynatrace has expanded its platform with a new OpenTelemetry trace ingest capability, enhancing observability for complex cloud-native environments by allowing the integration of distributed traces from third-party sources. This development supports IT operations and SRE teams in identifying and resolving issues swiftly by ensuring end-to-end visibility, particularly in scenarios where OneAgent deployment is not feasible. The integration of OpenTelemetry trace data with Dynatrace's PurePath analysis helps diagnose root causes of service failures, as exemplified by a case involving a cloud-native application where excessive requests to a third-party service caused user frustration. Dynatrace's approach provides comprehensive observability by combining automated instrumentation, continuous topology mapping, and AI-driven analysis while offering data protection by only storing specified span and resource attributes. The release of trace ingest in Dynatrace version 1.222 encourages user feedback through the Dynatrace Community and promises ongoing improvements.

ASP.NET Web Service observability and performance optimization face challenges as traditional monitoring tools often provide only global Service Level Indicators (SLIs) and fail to offer metrics for individual service endpoints. This limitation arises because ASP.NET SOAP Web Services (ASMX) expose endpoints through a common URL, relying on the SoapAction HTTP Header to execute specific methods, which most tools overlook. Dynatrace, with its OneAgent, traces web service requests as PurePaths, offering distributed trace capabilities and allowing deeper analysis. However, to enhance observability at the endpoint level, additional context from the SoapAction header is needed, which can be captured using Dynatrace’s Request Attributes without code changes. This approach allows for a more detailed analysis of service performance and architectural issues, enabling engineers to identify performance bottlenecks or architectural hotspots. Triscon, a partner specializing in load and performance testing, demonstrated how Request Attributes can extract context like service method names, facilitating multi-dimensional analysis and improving diagnostics. By defining custom request naming rules, Dynatrace users can achieve enhanced visibility into PurePaths, enabling effective monitoring, diagnostics, and optimization of ASP.NET Web Services.

The OpenTelemetry (OTel) Operator is a powerful tool for managing the deployment and configuration of OpenTelemetry Collectors in Kubernetes, offering capabilities for automating telemetry data collection without modifying application source code. This blog post, co-authored by Reese Lee, provides an in-depth look at the Operator's functionalities, including the use of the Open Agent Management Protocol for consistent observability settings and the automatic injection of zero-code instrumentation into Kubernetes pods. It guides users through installation prerequisites, such as the necessity of having a cert-manager and a compatible Kubernetes cluster, and offers troubleshooting advice for common issues encountered during installation, Collector deployment, and auto-instrumentation. Additionally, it explains how to deploy and configure the OpenTelemetryCollector resource, manage different API versions and base images, and ensure proper endpoint configurations for telemetry data export. The post also covers the use of Instrumentation resources to facilitate auto-instrumentation and provides strategies for resolving instrumentation issues, making it a comprehensive guide for leveraging the Operator to enhance observability in Kubernetes environments.

The rapid acceleration of AI investment has created a gap between the high ambitions of organizations and the practical execution of AI projects, with a high percentage of AI initiatives failing to reach production due to unclear objectives and insufficient expertise. Despite the challenges, predictions indicate that AI will increasingly influence enterprise software applications and day-to-day decision-making, with a significant portion of enterprises expected to integrate AI governance to ensure ethical and accountable AI use. Trust in AI's reliability and alignment with business goals is crucial for successful outcomes, necessitating AI-native observability and strategic integration. Dynatrace stands out by offering comprehensive observability solutions that provide end-to-end insights into AI workloads, enhancing innovation, compliance, and scalability in cloud environments. The growing complexity of AI, particularly agentic AI, underscores the need for robust observability to manage risks and optimize performance, highlighting the increasing responsibility of executives to balance innovation with cost, risk, and value.

Efficient management and monitoring of data pipelines are essential for modern businesses to maintain competitiveness, especially as data volumes grow and workflows become more intricate. Azure Data Factory (ADF) serves as a robust tool for orchestrating data workflows, while integrating Dynatrace provides enhanced visibility and insights into pipeline performance. This combination allows for quick identification and resolution of bottlenecks, failures, and inefficiencies, enabling more reliable and scalable data operations. By embedding business context into logs and metrics, organizations can align IT operations with business outcomes, improving strategic decision-making through real-time analytics. Additionally, automation with Dynatrace Workflows enhances pipeline reliability and reduces downtime by addressing issues proactively rather than reactively. Overall, integrating these technologies transforms pipeline management into a strategic advantage, offering faster troubleshooting, smarter optimization, and a more proactive approach to data operations.

In August 2025, a cyberattack on Salesloft's Drift application led to unauthorized access to Salesforce CRM data, affecting several companies, including Dynatrace. Both Salesloft and Salesforce responded by disabling compromised connections and notifying impacted customers. Dynatrace acted promptly by disabling Drift, launching an investigation with cybersecurity experts, and confirming that the breach was limited to Salesforce, with no impact on its products or services. The potentially affected data was confined to business contact details such as names and company identifiers, with no disruption to Dynatrace's operations. Customers are advised to be vigilant against phishing or social engineering attempts, ensuring communications are from trusted Dynatrace sources. Dynatrace emphasizes its commitment to customer privacy and security.