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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. | It is used to monitor Java or Java EE application servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts. |
Error, crash and performance monitoring, in one platform;Support for every major programming language and platform;Minutes to set up;Error grouping by root cause, assignment, comments and full diagnostic details;Front end performance monitoring to identify slow page load speeds in the user's browser;Modern Application Performance Monitoring (APM) with intelligent, automatic issue creation;Link with GitHub, Slack, JIRA and 30+ other team workflow integrations;See which problems were introduced (or fixed) in each deployment;See every issue your users have encountered and solve them with ease | give facts about the average response times and number of executions;
make decisions when trends are bad, before problems become too serious;
optimize based on the more limiting response times;
find the root causes of response times;
verify the real improvement after optimizations |
Statistics | |
GitHub Stars - | GitHub Stars 3.0K |
GitHub Forks - | GitHub Forks 754 |
Stacks 136 | Stacks 1 |
Followers 178 | Followers 6 |
Votes 198 | Votes 2 |
Pros & Cons | |
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Integrations | |
| No integrations available | |

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