Database performance issues, particularly the n+1 query pattern, are common challenges in microservice architectures. This pattern, where an application makes multiple inefficient database queries, can lead to significant performance bottlenecks. Observe APM offers a solution to diagnose and resolve these issues by efficiently tracing and identifying the root cause of latency spikes. In a real-world example, a developer investigating checkout service latency discovers that the cart service's `EmptyCart` endpoint is causing the problem due to multiple LREM operations in Redis, indicative of an n+1 issue. By using Observe APM, the developer can quickly identify and address the inefficiency by updating the logic to consolidate database queries, thus improving the checkout experience and reducing database load. The platform's reliance on OpenTelemetry ensures industry-standard instrumentation and future-proof observability strategies, making it a robust tool for tackling database performance bottlenecks.