In what situation would a custom error not trigger a failure in Dynatrace?

In what situation would a custom error not trigger a failure in Dynatrace?

• A. When it is raised by server-side code
• B. When it is handled gracefully in application code
• C. When it matches a predefined error code
• D. When it results in a client request

Answer: (B)

A custom error will not trigger a failure in Dynatrace when it is handled gracefully in application code. This means that the application has implemented error handling mechanisms that manage the error without propagating it to a state that Dynatrace would recognize as a failure. In situations where an error is handled gracefully, the application can log the error or execute alternative logic instead of letting the error cause a disruption. This allows the application to maintain its performance and functionality, ensuring that the user experience is not negatively impacted, and it prevents Dynatrace from detecting these errors as failures. The virtue of handling errors gracefully is significant in production environments where reliability and user experience are crucial. Such an approach tends to mask underlying issues from monitoring tools, thereby allowing teams to prioritize more critical errors that do need attention.

A custom error will not trigger a failure in Dynatrace when it is handled gracefully in application code. This means that the application has implemented error handling mechanisms that manage the error without propagating it to a state that Dynatrace would recognize as a failure.

In situations where an error is handled gracefully, the application can log the error or execute alternative logic instead of letting the error cause a disruption. This allows the application to maintain its performance and functionality, ensuring that the user experience is not negatively impacted, and it prevents Dynatrace from detecting these errors as failures.

The virtue of handling errors gracefully is significant in production environments where reliability and user experience are crucial. Such an approach tends to mask underlying issues from monitoring tools, thereby allowing teams to prioritize more critical errors that do need attention.