Visualize where each of your end points is spending most of its time, which functions were executed, for how long and where you need to debug further to speed up your application. Get in depth overview of the individual operations, raw queries and calls that the slow end point made.
See each function call that is executed, from where it originated, how much time it consumed and its impact on your transaction performance. Get a visual overview of it along with the breakdown of the database queries, external requests and request parameters.
Get the context which started this slow request, along with the request parameters, user information and custom data that you can pass along with the original request, which can show you the request and response body.
With a separate list of all database queries called from this trace with the normalized query, understand which table and operation were called, it’s impact and what you can do to improve its performance.
See what is happening around your application when the slow transaction happens. Connect the traces to the host metrics, log data and the run time metrics that gives you an overview of impact outside your application
Atatus captures all requests to your applications without requiring you to change your source code. Get a clear picture of how all your methods, database statements and external requests are affecting your user's experience.
Get deeper visibility of your transaction outliers and drill down to find out slow segments of your code that are slowing down your app.
View the complete picture of the most time consuming database queries and focus on slow database queries along with traces that provide the actionable insights.
Visualize where your code is spending most of its time, which functions were executed, for how long. Get the overview along with the breakdown of related database, network calls and request parameters.
See detailed overview of all the HTTP Failures that are impacting your users. Find the status codes breakdown and along with request parameters, find the root cause of the API failures.
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