In this tutorial, we’ll debug an iOS application with Apple’s Xcode. Xcode is a robust environment for developing and troubleshooting iOS applications. We’ll see how we can use it, alongside Raygun’s iOS Crash Reporting, to quickly address an application deficiency.
The Java programming language comes with advanced exception handling features that help programmers manage exceptional events. In Java, exceptions are either thrown by the compiler or occur during the execution of the program. Exceptions stop the normal flow of the program, so you need to handle them appropriately.
Raygun’s Launch Notes are your regular roundup of all the improvements we made to Raygun in the last month — from major feature releases to performance updates.
If you want find out if end users are running into bugs, slow page load speeds and other hidden issues, or want to discover where and why people are falling out of your conversion funnels, Raygun is going to provide much needed visibility and answers for your team.
When you’re building software, there’s so much to think about — from bugs to how fast your application loads. We’ve got something new to help your development team build better, faster experiences for your users, in less time. Today, we’re releasing Raygun Application Performance Monitoring (APM) for .NET, a new way to visualize and understand your application’s performance on the server-side.
Have you ever had responsibility for an application and been the last to know about an outage? I have, and it’s terrible. You go to check your phone in the morning over coffee, after waking up, and you see a flood of missed calls and tons of emails. Customers are angry. Your boss is demanding to know what’s happening. Even the company’s executives are involved. How did this happen?
Monitoring remains a critical part of managing any IT system, while the challenges associated with monitoring microservices are especially unique. An example is how traditional monolithic systems, deployed as a single executable or library, have different points of failure and dependencies than those deployed with a microservices architecture.
