Operations | Monitoring | ITSM | DevOps | Cloud

Raygun

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.
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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.

Xamarin alternatives for cross-platform mobile development

Xamarin is now officially sunset, leaving many developers seeking other options for cross-platform mobile development. If you’re one of them, don’t panic. While Microsoft themselves have shifted towards.NET MAUI, it’s not the only option – there are several robust frameworks that can match Xamarin’s capabilities, and even introduce exciting new features and efficiencies. Let’s look at some leading alternatives to keep your mobile projects thriving.

MAUI provider upgrades v2: Real User Monitoring + Crash Reporting

I’ve written previously about the process of adding Real User Monitoring capabilities to our MAUI provider. I’m excited to say that this work is now live, batteries and all, plus some more improvements since the last blog. To recap the state of cross-platform development in the.NET ecosystem, Xamarin is out of support as of May 1st! This is replaced by.NET MAUI (Multi-platform App UI), meaning developers need appropriate tools when they make the switch.

Raygun4Aspire: (Free) lightweight Crash Reporting running locally

NET Aspire is a new type of project and set of NuGet packages that make it easier to coordinate the multiple moving parts of a cloud-native web application. Announced near the end of 2023, .NET Aspire is currently in Preview 6, so still a work in progress. We’ve just released Raygun4Aspire, our Crash Reporting client for Aspire applications.
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JS Toolbox 2024: Frameworks and static site generators

In 2024, JavaScript is bigger than ever. The ecosystem is just as huge, and almost impossible to keep track of - so I've had a go at picking out 2024's most essential JS tools for you. In part 1 of this series, we reviewed runtimes and package managers, the foundational building blocks of your software project. So in part 2, we're analyzing the tools which form the walls and roof that give your software project its structure: frameworks and static site generators. For this installment of JS Toolbox 2024, we explore various frameworks & generators available in the JavaScript & TypeScript ecosystem, analyzing their strengths, weaknesses, and ideal use cases.

Announcing AI Error Resolution

After months of anticipation (and invaluable input from our beta testers!) we’re so excited to officially share AI Error Resolution. We can say firsthand that this tool helps developers resolve issues with renewed speed and accuracy, using AI-powered suggestions on the root cause of errors and how to fix them. Testing has shown how effectively this feature can pinpoint the source of an error and produce the most efficient method to resolve it, accelerating the entire debugging process.