What problem does it solve?
This Skill eliminates the guesswork of interpreting .NET runtime Exceptions and Assemblies metrics panels, which are critical for monitoring application stability but often lack clear context for developers diagnosing post-deploy issues, recurring errors, or memory leaks.
Core Features & Use Cases
- Metric Definition Clarity: Explains the purpose and source of key metrics including dotnet_exceptions_total, process_runtime_dotnet_exceptions_count_total, dotnet_assembly_count, and process_runtime_dotnet_assemblies_count.
- Pattern Interpretation Guidance: Provides clear rules for identifying normal vs abnormal graph trends, such as distinguishing warm-up exception spikes after deployment from persistent error increases, and recognizing one-time assembly count jumps versus continuous growth indicating plugin leaks.
- Sample Query Support: Includes ready-to-use PromQL queries to fetch the relevant metrics for analysis.
- Use Case: A backend engineer deploying a .NET 9 ASP.NET Core application can use this Skill to quickly verify if a spike in exceptions immediately after deployment is expected warm-up behavior, or if a steadily increasing assembly count signals a dynamic plugin leak requiring further investigation.
Quick Start
Request analysis of your .NET application's Exceptions and Assemblies runtime metrics to identify post-deploy stability risks or abnormal assembly count trends.
