Operations | Monitoring | ITSM | DevOps | Cloud

June 2024

Raygun4Net update: Portable PDBs and offline storage

We’re excited to roll out support for Portable PDBs and offline error storage in Raygun4Net 11.0.0. In this article, we’ll break down these features and how they can enhance your error identification and debugging process. Ever seen an error in Raygun but missing the file and line number in the stack trace? This happens when debug symbols aren’t available at runtime. With Portable PDB support, this issue is resolved.

Introducing Raygun AI Error Resolution for Aspire

Last month, we rolled out Raygun4Aspire, our Crash Reporting client for.NET Aspire applications. That release included a free, lightweight version of the full Raygun web app that runs locally. After the successful launch of our recent AI Error Resolution feature for Crash Reporting, we knew that we had to bring this feature into the Aspire local development experience. Today, we’re thrilled to announce that AI Error Resolution for Raygun4Aspire is now available for all Aspire app developers!

API update: Sessions, pages and Customers

Today, we’re excited to roll out 6 new endpoints for the Raygun API, making it simpler than ever to query Sessions, Pages, and Customers. Raygun’s Real User Monitoring helps you track and enhance your front-end and mobile page speed performance. It analyzes user sessions and page views to calculate your overall page speed. Previously, this required someone to log into Raygun, find the right application, and manually inspect sessions and page views in Real User Monitoring.
Sponsored Post

AI engineering for AI Error Resolution

Smart engineering teams are working out how to use Large Language Models (LLMs) to solve real business problems. At Raygun, we're no exception, and we're committing our time and effort to developing AI software applications that bring value to our customers. Our first AI-powered release is AI Error Resolution (AIER), a novel Crash Reporting feature that takes debugging with ChatGPT to the next level. We know that LLMs have already dramatically increased software engineers' productivity.