Welcome to the new MongoDB Feedback Portal!
{Improvement: "Your idea"}
We’ve upgraded our system to better capture and act on your feedback.
Your feedback is meaningful and helps us build better products.
We’ve upgraded our feedback system to better capture, track, and act on your feedback. Here’s what you need to know:
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What problem are you trying to solve? Focus on the what and why of the need you have, not the how you'd like it solved. |
When Atlas sends an alert such as "Query Targeting: Scanned Objects / Returned has gone above threshold", the notification does not indicate which specific query is responsible for the high scanned-to-returned ratio. As a result, we must manually navigate to the Atlas Metrics view, analyze performance charts, correlate timestamps, and then inspect slow query logs or the profiler to identify the problematic query. This creates additional operational overhead and delays incident response, especially in production environments. |
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What would you like to see happen? Describe the desired outcome or enhancement. |
We would like Atlas to provide direct visibility into the offending query when a Query Targeting alert is triggered. Possible enhancements could include:
The key outcome is enabling users to identify the problematic query immediately, without needing to manually correlate metrics. |
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Why is this important to you or your team? Explain how the request adds value or solves a business need. |
Our team operates production workloads on MongoDB Atlas, and timely detection and resolution of inefficient queries is critical for:
When alerts require multiple manual investigation steps, the time-to-resolution increases. Faster query identification would significantly improve operational efficiency and incident handling. |
What steps, if any, are you taking today to manage this problem? |
Currently, when we receive this alert, we:
This manual workflow is repetitive and time-consuming, especially when alerts occur outside business hours. |