Alibabacloud Emas Apm Queryv0.0.1

Sort top crashes by error rate, inspect aggregated metrics, and drill into stack traces to identify root causes and suggest fixes. This scenario helps developers prioritize the most impactful crashes for resolution.

Pull top ANR issues for iOS or Android, examine affected versions, and retrieve representative samples to pinpoint main thread blocking causes. This reduces time to diagnose responsiveness problems.

Identify memory leak issues, analyze allocation stacks, and correlate with source code to produce fix suggestions. This is critical for preventing out-of-memory crashes and improving app stability.

Analyze custom exceptions from Flutter apps by retrieving error samples and mapping to Dart or native stack traces. This enables quick debugging of unhandled exceptions in cross-platform apps.

Offers a data-driven approach to rank issues by error rate or count so teams fix the most critical bugs first. This reduces app churn and improves user retention.

Automates stack trace retrieval and source code mapping to reduce mean time to resolution (MTTR). This increases developer productivity and decreases debugging costs.

Unified monitoring across native (Android/iOS), HarmonyOS, Flutter, and Unity apps, with tailored error types per platform. This expands market reach to diverse mobile ecosystems.