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Error Monitoring

raygun

Top 10 .NET exceptions (part one)

Jan 6, 2025 By Rowan Tandy In Raygun
Exception handling is essential to.NET development, but not all exceptions are equal. Some, like NullReferenceException, surprise developers with unclear stack traces and production crashes. Others, such as MySQLException or HttpRequestException, often point to issues like resource mismanagement or network failures. At Raygun, we’ve worked with teams around the world to monitor and fix software issues, giving us deep insight into how exceptions occur and how to handle them effectively.
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raygun

Seamless error monitoring with Spring Boot and Raygun

Sep 9, 2024 By Raydhitya Yoseph In Raygun
This guest post comes from long-time Raygun customer Midtrans, a leading payment gateway in Southeast Asia. As Midtrans grew, so did the number of applications requiring error monitoring. To tackle the challenges of scaling and standardizing Raygun across multiple teams and services, they created a custom Spring Boot starter for Raygun. Now, Midtrans is excited to share this open-source Spring Boot auto-configuration with the community.
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appsignal

Track Errors in Phoenix for Elixir with AppSignal

Jul 9, 2024 By Aestimo Kirina In AppSignal
AppSignal is a powerful error tracking and performance monitoring tool that can help you maintain reliability and speed in your Elixir applications. In this tutorial, the first of a two-part series, you'll learn how to integrate AppSignal into your Elixir application, configure it for error tracking, interpret error reports, and leverage AppSignal's features to debug and resolve issues.
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raygun

AI engineering for AI Error Resolution

Jun 4, 2024 By Panos Patros In Raygun
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.
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appsignal

Track Errors in Your Python Flask Application with AppSignal

May 29, 2024 By Nik Tomazic In AppSignal
In this article, we'll look at how to track errors in a Flask application using AppSignal. We'll first bootstrap a Flask project, and install and configure AppSignal. Then, we'll introduce some faulty code and demonstrate how to track and resolve errors using AppSignal's Errors dashboard. Let's get started!
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raygun

Announcing AI Error Resolution

Apr 22, 2024 By Laura Marwick In Raygun
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.
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How to detect new errors in production

Apr 5, 2024 By Rollbar In Rollbar
How to improve your release quality by using Rollbar to detect new and reactivated errors from production, staging or qa environments. Go beyond crash reporting, error tracking, logging and error monitoring. Get instant and accurate alerts — plus a real-time feed — of all errors, including unhandled exceptions. Our automation-grade grouping uses machine learning to reduce noise and gives you error signals you can trust.
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