Utilizing the New Relic Query Language (NRQL) allows observability practitioners to switch between high-level service performance metrics and deep dives into specific customer experiences.
The process of 'zooming in' on telemetry data, starting from a broad overview to granular insights, enhances our understanding of system performance and user experience.
By employing NRQL on MELT data, we can analyze the performance of microservices accurately, enabling us to address specific performance issues rapidly.
A traditional view might show that a service is performing adequately; however, writing targeted NRQL queries can reveal edge cases like slow checkout responses for certain customers.
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