NRQL Querying and Dashboard Creation in New Relic
NRQL Querying and Dashboard Creation in New Relic
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With NRQL Querying and Dashboard Creation in New Relic, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 9/2026
By Harsh Karna
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 40m 56s | Size: 142.1 MB
Application teams often have large volumes of telemetry available but still need flexible ways to answer specific operational questions, visualize the results, and respond when important conditions occur.
Application teams often have large volumes of telemetry available but still need flexible ways to answer specific operational questions, visualize the results, and respond when important conditions occur. In this course, NRQL Querying and Dashboard Creation in New Relic, you'll gain the ability to turn New Relic telemetry into targeted queries, operational dashboards, and actionable alerts.
First, you'll explore how to construct NRQL queries across different telemetry data types and use aggregations to answer application questions. Next, you'll discover how filtering, faceting, and time-series analysis help isolate affected segments and reveal trends over time. Finally, you'll learn how to use NRQL queries as alert conditions, choose appropriate threshold strategies, and route critical notifications. When you're finished with this course, you'll have the skills and knowledge of NRQL querying and dashboard creation needed to investigate telemetry more precisely, communicate application health clearly, and respond proactively to important reliability signals.
Homepage
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