How to navigate telemetry through zooming in and out

Observability practitioners leverage telemetry data to answer both high-level and detailed questions about system performance, using tools like the New Relic Query Language (NRQL) on data collected from various sources, including OpenTelemetry and Prometheus. By employing a process referred to as "zooming in," users can start with broad overviews of system performance and then drill down into specific issues, such as identifying latency in e-commerce applications' frontend services. Through examples, the text demonstrates how NRQL queries can provide insights into the duration and distribution of transaction times, identify key services contributing to latency, and pinpoint specific endpoints, such as the "PlaceOrder" endpoint in a checkout service, that may experience performance spikes. This approach allows for targeted investigation of potential bottlenecks and more informed decision-making to address system inefficiencies.

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