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Raygun
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Performance MonitoringWhat is Raygun?
Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.
Raygun is a tool in the Performance Monitoring category of a tech stack.
Key Features
Error, crash and performance monitoring, in one platformSupport for every major programming language and platformMinutes to set upError grouping by root cause, assignment, comments and full diagnostic detailsFront end performance monitoring to identify slow page load speeds in the user's browserModern Application Performance Monitoring (APM) with intelligent, automatic issue creationLink with GitHub, Slack, JIRA and 30+ other team workflow integrationsSee which problems were introduced (or fixed) in each deploymentSee every issue your users have encountered and solve them with ease
Raygun Pros & Cons
Pros of Raygun
- ✓Easy setup and brilliant features
- ✓Huge range of programming languages supported
- ✓Integrates with many tools I use (e.g. GitHub, HipChat)
- ✓Makes my job so much easier
- ✓Support for JavaScript source maps
- ✓No rate limiting
- ✓I have so much love for Raygun. Amazing support too
- ✓Works with Xamarin (including native iOS crashes)
- ✓Unlimited team sizes on all levels
- ✓Responsive and fast app
Cons of Raygun
No cons listed yet.
Raygun Alternatives & Comparisons
What are some alternatives to Raygun?
New Relic
The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
OpenCensus
It is a set of libraries for various languages that allow you to collect application metrics and distributed traces, then transfer the data to a backend of your choice in real time. This data can be analyzed by developers and admins to understand the health of the application and debug problems.
