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Dynatrace Expands Features for Mobile Apps

Dynatrace announced expanded digital experience management capabilities, including advanced analytics and segmentation of mobile app user sessions, auto-instrumentation for additional mobile platforms and technologies, and enhancements to its explainable AI engine, Davis, including insights from third-party mobile app components.

With these advances, Dynatrace delivers real-time, precise answers about the health, performance and usage of native mobile apps, enabling organizations to quickly deliver new apps and features as well as troubleshoot and resolve issues before user experience and adoption are impacted.

“The Dynatrace Software Intelligence Platform was designed to enable organizations to optimize user experiences across all of their digital channels, including native mobile apps, websites and devices,” said Steve Tack, SVP of Product Management at Dynatrace. “In the last year, we have witnessed an accelerating uptake of Dynatrace for native mobile apps to provide a complete picture of user experiences across all channels and the full stack. With our explainable, AI-based approach, organizations can go beyond partial monitoring and best guesses and discover precise answers that explain exactly what, where, when and why issues impact mobile app user experiences. This enables these teams to accelerate innovation and problem resolution.”

New enhancements to Dynatrace Digital Experience Management capabilities for native mobile applications include:

- Advanced analytics and segmentation – Dynatrace multi-dimensional analytics now include crash reporting workflow and granular segmentation capabilities spanning health, performance and usage metrics across all app components and user actions. These enhancements eliminate blind spots and streamline the error troubleshooting process to identify the precise root cause and impact of problems wherever they occur, from backend applications and underlying cloud infrastructure and networks, to the mobile app and device.

- Enhanced auto-instrumentation – Dynatrace’s fully automated instrumentation and dependency mapping capabilities have been extended to the most popular mobile frameworks and platforms including React Native and tvOS. These augment existing auto-instrumentation for Android, iOS, Xamarin, Cordova and Ionic, and enable organizations to eliminate manual effort and quickly achieve observability as well as AI-powered answers for native mobile apps.

- Enriched AI-powered answers – Dynatrace’s explainable AI engine, Davis, can now process data from third-party mobile app components, in addition to mobile app crash and error rates and user performance metrics. As a result, Davis delivers even more precise answers in real time to accelerate problem resolution and help ensure optimal experiences for every mobile app user.

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Dynatrace Expands Features for Mobile Apps

Dynatrace announced expanded digital experience management capabilities, including advanced analytics and segmentation of mobile app user sessions, auto-instrumentation for additional mobile platforms and technologies, and enhancements to its explainable AI engine, Davis, including insights from third-party mobile app components.

With these advances, Dynatrace delivers real-time, precise answers about the health, performance and usage of native mobile apps, enabling organizations to quickly deliver new apps and features as well as troubleshoot and resolve issues before user experience and adoption are impacted.

“The Dynatrace Software Intelligence Platform was designed to enable organizations to optimize user experiences across all of their digital channels, including native mobile apps, websites and devices,” said Steve Tack, SVP of Product Management at Dynatrace. “In the last year, we have witnessed an accelerating uptake of Dynatrace for native mobile apps to provide a complete picture of user experiences across all channels and the full stack. With our explainable, AI-based approach, organizations can go beyond partial monitoring and best guesses and discover precise answers that explain exactly what, where, when and why issues impact mobile app user experiences. This enables these teams to accelerate innovation and problem resolution.”

New enhancements to Dynatrace Digital Experience Management capabilities for native mobile applications include:

- Advanced analytics and segmentation – Dynatrace multi-dimensional analytics now include crash reporting workflow and granular segmentation capabilities spanning health, performance and usage metrics across all app components and user actions. These enhancements eliminate blind spots and streamline the error troubleshooting process to identify the precise root cause and impact of problems wherever they occur, from backend applications and underlying cloud infrastructure and networks, to the mobile app and device.

- Enhanced auto-instrumentation – Dynatrace’s fully automated instrumentation and dependency mapping capabilities have been extended to the most popular mobile frameworks and platforms including React Native and tvOS. These augment existing auto-instrumentation for Android, iOS, Xamarin, Cordova and Ionic, and enable organizations to eliminate manual effort and quickly achieve observability as well as AI-powered answers for native mobile apps.

- Enriched AI-powered answers – Dynatrace’s explainable AI engine, Davis, can now process data from third-party mobile app components, in addition to mobile app crash and error rates and user performance metrics. As a result, Davis delivers even more precise answers in real time to accelerate problem resolution and help ensure optimal experiences for every mobile app user.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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