New Relic Basics
This is the term for the overall system that collects, analyzes, and visualizes telemetry data in New Relic.
observability
This metric shows the average time it takes your app to respond to a request.
Response time
This feature lets you visualize data using custom queries and widgets.
dashboards
This is the query language used to retrieve and visualize data in New Relic.
NRQL (New Relic Query Language)
This is what your team feels when the alert noise is finally under control.
peace (or relief)? 😆
You’d visit this place to manage user permissions, API keys, and data ingest settings.
Account Settings page
This New Relic feature automatically detects unusual spikes or drops in metrics.
Anomaly detection
These notify you when metrics exceed certain thresholds.
Alerts
You can save and reuse your queries in dashboards using this type of chart component.
Data widget or chart panel
You probably need one of these after staring at a dashboard for 3 hours.
Coffee? Red Bull?
The main page where you can view all your connected services and applications.
Entity Explorer
This view helps you see the breakdown of response time by transaction type.
Transactions page
An alert condition that monitors a single metric or NRQL query is called this.
Policy condition
When analyzing latency, this NRQL function gives you a more resilient metric than AVERAGE() by focusing on the 95th or 99th part of a dataset.
PERCENTILE()
The act of diving deep into traces and logs just to find one small bug.
debugging (or observability spelunking)
This type of agent is installed in your application to collect performance metrics.
APM agent
You’d use this feature to trace the journey of a single request through your services.
distributed trace
You can use these visual elements to make dashboards easier to read at a glance.
Widgets or Visualizations
This NRQL function lets you count only one-of-a-kind values, such as distinct users or session IDs.
UNIQUES()
The magical trio of metrics you observe in any system: throughput, errors, and this.
Latency
This New Relic component provides a unified data platform for metrics, events, logs, and traces.
Telemetry Data Platform
This feature allows you to analyze service dependencies and latency between microservices.
Service Maps?
This alerting feature uses historical baselines to automatically adjust thresholds rather than relying on static values.
Dynamic Baseline Alerts
This NRQL clause allows you to compare a metric’s current value to its past performance over a specific time window.
SINCE … COMPARE WITH
This observability “golden signal” measures how much work a system can handle per unit of time.
Throughput