New Relic
One telemetry database (NRDB), NRQL, APM and distributed tracing, and applied intelligence
New Relic's defining choice is that everything lands in one store, NRDB, and everything is queried with one language, NRQL. Metrics, events, logs and traces are not separate products with separate query syntaxes, so a single NRQL statement can join across them. Interview questions usually start there: why a unified telemetry database simplifies correlation, and what you give up in exchange. Expect to be asked how the agent auto-instruments a framework and when you would drop to a custom instrumentation API instead, how distributed tracing reconstructs a request across services, and how applied intelligence groups related alerts into a single issue rather than paging you eight times for one outage. Data retention and ingest-based pricing come up often, because they shape what teams choose to send in the first place.
Platform & Telemetry Data Platform
See how New Relic funnels every signal into one database queried by NRQL.
APM & Distributed Tracing
Auto-instrument services to get golden signals and end-to-end traces.
NRQL & Dashboards
Query all telemetry with a SQL-like language and build custom dashboards.
Alerts & Applied Intelligence
Detect issues with NRQL conditions and reduce noise with correlation and anomaly detection.