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  • Core Tech
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New Relic

1 Course
1 Hours
Skill IQ

This learning path is designed to transition new engineers from basic monitoring practices to proficiency in full-stack observability. Upon completion, learners will be equipped to use New Relic’s core capabilities to instrument applications, analyze performance data, and construct complex dashboards and alert policies for reliable service delivery.

**New Relic** - New Relic Data Foundation Principles (video course) - Connecting Your Data to the New Relic Platform (video course) - Configuring Application Observability in New Relic (video course) - NRQL Querying and Dashboard Creation in New Relic (video course)

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What You'll Learn
  • The fundamental difference between legacy monitoring and modern, data-driven observability.
  • How to successfully instrument and collect telemetry data from applications and infrastructure.
  • Core troubleshooting techniques to rapidly locate performance bottlenecks and code errors using APM.
  • The skills to write powerful custom queries (NRQL) and build actionable, consolidated dashboards.
  • The skills to write powerful custom queries (NRQL) and build actionable, consolidated dashboards.
  • How to configure proactive alerts to manage system health and ensure high service availability.
Prerequisites
  • A learner needs the basic understanding of computer fundamentals is essential. Knowledge of networking basics. Familiarity with the Linux operating system and command-line interfaces is required. A basic understanding of data serialization formats such as YAML or JSON is helpful, as well as basic knowledge of cloud concepts.
Related topics
  • IT Ops
  • DevOps
  • Observability
  • SRE
  • Application Performance Monitoring
  • Distributed Tracing
  • Infrastructure Monitoring
  • New Relic Query Language
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Learn with the best
Harsh Karna
Harsh Karna
Harsh is a Software Engineer II at Uber (Data & AI) with 5+ years of experience in Data Engineering, Backend Development, and AI. He specializes in large-scale data pipelines and streaming systems using Spark, Kafka, and Databricks, with strong expertise in SQL, Python, and Java across AWS and Azure. His experience spans ETL frameworks, data lakes, warehouses, and backend services built with Django and Flask, along with projects in Generative AI, NLP, and real-time analytics. As a Pluralsight a...

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