The article discusses a straightforward approach to create a MongoDB/Mongoose profiler to log queries and their execution times. It starts by outlining a generic user schema, enabling developers to manage user details. The primary focus is on implementing a profiler that utilizes Mongoose middleware hooks to capture the execution time of queries. By redacting sensitive information and logging the operation details, developers can gain insights into query performance while avoiding the overhead of more sophisticated Application Performance Management (APM) tools like Sentry.
To effectively log mongoose queries and measure their durations, a simple profiler can be implemented without relying on extensive APM tools like Sentry.
The mongoose profiler can redacted condition values while storing necessary query information such as duration, allowing developers to keep track of query performance.
Utilizing the Mongoose pre and post hooks, we can measure the time each database operation takes, transforming how performance monitoring is approached.
Our basic MongoDB/Mongoose profiler is designed to work seamlessly with the setup of a generic user schema, aiding in simplifying user management.
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