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Explore nrql

Discover NRQL (New Relic Query Language), the powerful query language used to analyze telemetry data, create custom dashboards, and troubleshoot application performance effectively.

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What is nrql?

NRQL, which stands for New Relic Query Language, is a powerful SQL-like query language designed specifically for retrieving and analyzing telemetry data stored in the New Relic platform. If you are familiar with standard SQL, picking up NRQL will feel natural, as it utilizes similar syntax for selecting, filtering, and aggregating data. However, NRQL is purpose-built to handle massive streams of observability data, including application metrics, infrastructure logs, distributed traces, and custom events.

With NRQL, developers, system administrators, and site reliability engineers (SREs) can query billions of data points in real time. Instead of relying solely on pre-built dashboards and canned reports, you can write custom queries to drill down into specific system behaviors, isolate anomalies, and generate actionable insights about your entire technology stack.

Why Learn nrql?

Learning NRQL unlocks the full potential of the New Relic observability platform. In modern cloud-native architectures, applications generate overwhelming volumes of log and metric data. Knowing how to efficiently query this data means you can move from reactive troubleshooting to proactive monitoring.

Professionals skilled in NRQL are highly valued for their ability to create custom dashboards, set up precise alert conditions, and rapidly diagnose complex performance bottlenecks. Whether you are debugging a sudden latency spike in a microservices architecture or analyzing user behavior through custom frontend events, NRQL gives you direct, programmatic control over your monitoring data.

Key Concepts

  • Events and Attributes: NRQL operates on events, which are discrete occurrences recorded by your agents, and attributes, which are the key-value pairs associated with those events.
  • SELECT Statements: Just like SQL, you use SELECT to specify which attributes or aggregate functions (like average, count, or percentile) you want to retrieve.
  • FACET Clause: Used to group your query results by one or more attributes, enabling you to compare metrics across different hosts, services, or user regions.
  • TIMESERIES Clause: Transforms standard aggregated results into a time-based chart format, essential for visualizing trends over custom time windows.
  • FUNCTIONS: NRQL offers specialized functions tailored for observability, such as calculating percentiles (apdex, percentile) and handling missing data points.
SELECT average(duration) FROM Transaction WHERE appName = 'CheckoutService' FACET host TIMESERIES 5 minutes

Who is This For?

NRQL is designed for anyone responsible for the health, performance, and reliability of software applications and infrastructure. This includes backend and frontend software engineers who need to debug code in production environments, DevOps and SRE professionals responsible for maintaining uptime and managing alerts, and data analysts looking to extract business insights from user interaction telemetry. While basic familiarity with SQL or relational databases is helpful, anyone with a technical background can quickly learn to write effective NRQL queries.

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