Developing and deploying native mobile apps is an intricate process that involves multiple stakeholders and teams. To efficiently get apps out the door, monitor their performance, and manage subsequent releases, mobile DevOps practitioners play a vital role. By streamlining collaboration between product managers, developers, and operations staff, they ensure a continuous workflow throughout the release process.
To successfully navigate this complex process, mobile DevOps practitioners need to understand the source and impact of complex problems that affect mobile apps. They must identify how to resolve these issues quickly, making it essential to have an all-in-one platform that offers automated instrumentation and AI capabilities out of the box. This type of platform can automatically monitor and baseline mobile applications while looking for performance bottlenecks, errors, and exceptions, providing immense value to mobile DevOps practitioners.
Swift App Development: Unlocking End-to-End Mobile DevOps with Dynatrace
In this blog series, we've explored how Dynatrace advances mobile app development. In the first segment, we discussed mobile app instrumentation for developers. In the second post, we reviewed how mobile app owners can assess overall performance and success by looking at business metrics derived from user session telemetry data.
Now, let's dive into the world of crash and error analysis in mobile DevOps.
Mobile App Crash Analysis
Imagine a scenario where a mobile application crashes whenever a user attempts to perform a particular function. Dynatrace automatically detects such problems and generates a problem card, providing mobile DevOps practitioners with immediate visibility into issues. These cards enable teams to pinpoint problems without effort, allowing them to focus on resolving them.
Identifying Root Cause
Dynatrace also provides insights into the root cause of complex problems that affect mobile apps. In this example, an error rate has increased to 78%. Dynatrace AI detected the issue automatically and revealed the root cause: a failed HTML element in the EasyTravel web service.
Error Rate Analysis
Mobile DevOps practitioners need deeper insights into how and to what extent these problems impact their mobile applications. By analyzing error rates, developers can gain valuable details about the problem, including context and timeframe. Dynatrace maintains this context throughout analysis, showing different requests that trigger errors and crashes.
Swift App Development: Unlocking End-to-End Mobile DevOps with Dynatrace
With Dynatrace, mobile DevOps practitioners can analyze crashes, which is a critical part of the DevOps process. They can filter based on versions where crashes are most prevalent and explore further details by clicking on a particular crash group. This breakdown reveals more detail, such as which operating system (e.g., Android 6.0.1) is affected.
With all this intelligence in a single view, mobile DevOps practitioners can visualize the entire stack trace, including device information down to CPU details, and even session information.
Individual User and Behavioral Analysis
Dynatrace provides complex data in a simplified format based on user sessions, indicating what the experience was like for the user. For example, the interaction with the application was frustrating due to specific user actions. Mobile DevOps practitioners can identify exact user action(s) that caused the sub-par experience.
By providing a video replay of the session via Session Replay capability, Dynatrace takes this data up another notch. Practitioners can turn on this option per application, allowing them to see exactly what the user saw during the session, including navigation, orientation changes, and all interactions with the interface.
In this article, we've explored how Dynatrace advances mobile DevOps, providing end-to-end support for swift app development. By leveraging automated instrumentation and AI capabilities, mobile DevOps practitioners can streamline collaboration, identify root causes of complex problems, and analyze crashes to optimize mobile app performance.