Dynatrace Expands Features for Mobile Apps
February 06, 2020
Share this

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.

Share this

The Latest

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...

November 12, 2024

If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...