Leveraging Database Observability at MongoDB: Real-Life Use Case

In this article, the author discusses how MongoDB leverages its unique observability strategy using out-of-the-box tools to monitor and optimize customer databases. These tools provide continuous feedback to answer critical questions such as what is happening, where is the issue, why is it occurring, and how do I fix it? The author presents a real-life use case illustrating how different tools in MongoDB Atlas come together to address database performance issues. They describe a five-step diagnostic process that can be used to resolve such issues: gather data and insights, generate hypotheses, prioritize hypotheses, validate hypotheses, and implement and observe changes. The author concludes by stating that using the MongoDB observability suite can help quickly resolve database bottlenecks and restore an application's performance.