New Relic: Pro-Level Application Observability

In the fast-paced realm of technology, understanding and managing application performance is paramount. That’s where New Relic New Relic comes in, offering a suite of tools for monitoring and observability. But how do you truly harness its power to gain actionable insights and improve your applications? Let’s explore how to use New Relic like a pro.

Key Takeaways

  • Configure New Relic’s Browser monitoring agent to track JavaScript errors and page load times to identify front-end performance bottlenecks.
  • Set up custom dashboards in New Relic using NRQL queries to visualize application-specific metrics like order completion rates or API response times.
  • Implement anomaly detection alerts within New Relic to receive notifications when key performance indicators deviate from established baselines, allowing for proactive issue resolution.

1. Initial Setup and Agent Installation

Before you can start gleaning insights, you need to install the New Relic agent. This process varies depending on your application’s language and framework. For a Node.js application, for example, you’d typically use npm:

npm install newrelic

Then, you’ll require the module at the very top of your application’s main file. A newrelic.js configuration file is also needed in your application root. This file contains your license key and application name.

Pro Tip: Ensure your application name in newrelic.js is descriptive and consistent. This makes it easier to find your application in the New Relic UI later.

2. Configuring Browser Monitoring

Don’t just focus on the backend! New Relic’s Browser monitoring is crucial for understanding your front-end performance. To enable it, navigate to the “Browser” section in New Relic and follow the instructions to copy and paste the JavaScript snippet into your application’s <head> section. I had a client last year who thought their backend was the problem, but after implementing Browser monitoring, we discovered a poorly optimized image was causing significant load time delays.

Common Mistake: Forgetting to enable Browser monitoring after installing the agent. You’re missing half the picture if you skip this step.

3. Crafting Custom Dashboards with NRQL

New Relic Query Language (NRQL) is your gateway to creating custom dashboards tailored to your specific needs. NRQL allows you to query the data New Relic collects and visualize it in various ways. For instance, to track the average response time of a specific transaction, you might use the following query:

SELECT average(duration) FROM Transaction WHERE name = 'WebTransaction/Uri/your/endpoint' SINCE 1 day ago

This will show you the average duration of requests to /your/endpoint over the past day. From there, you can add this query to a dashboard. We can all agree that pre-built dashboards are good, but custom dashboards are great.

Pro Tip: Use the “SINCE” keyword to specify a time range for your queries. Experiment with different time ranges to identify trends and patterns.

4. Setting Up Alerts for Anomaly Detection

Reactive monitoring is so 2025. Anomaly detection in New Relic allows you to proactively identify and address issues before they impact your users. To set this up, navigate to “Alerts & AI” -> “Alert policies” and create a new policy. Add a condition based on a metric that’s important to you, such as error rate or response time. Choose “Anomaly” as the threshold type and configure the sensitivity (e.g., “High,” “Medium,” or “Low”). When the metric deviates significantly from its historical baseline, you’ll receive a notification. I find the “High” setting to be a bit too sensitive, often triggering false positives. Medium usually hits the sweet spot.

5. Diving Deep with Distributed Tracing

When a request spans multiple services, understanding the entire flow can be challenging. Distributed tracing helps you visualize the path a request takes through your system, identifying bottlenecks and latency issues. To enable distributed tracing, ensure that distributed_tracing.enabled is set to true in your newrelic.js file. Then, instrument your code to propagate tracing headers between services. Most modern frameworks have libraries to help with this. We ran into this exact issue at my previous firm. We had a microservice architecture, and pinpointing the source of latency was a nightmare until we implemented distributed tracing. Suddenly, we could see exactly which service was slowing things down.

To effectively kill app bottlenecks, distributed tracing is a must-have.

6. Leveraging Logs in Context

New Relic’s Logs in Context feature allows you to correlate log messages with your application’s performance data. This makes troubleshooting much easier. To enable it, configure your logging framework to forward logs to New Relic. For example, if you’re using Winston in Node.js, you can use the @newrelic/winston-enricher package to automatically add New Relic trace IDs to your log messages. The logs will show up in the same view with your application metrics. Here’s what nobody tells you: this feature is a game-changer for debugging complex issues.

Common Mistake: Neglecting to properly configure your logging framework to forward logs to New Relic. Without proper configuration, you won’t be able to take advantage of Logs in Context.

7. Optimizing Database Performance

Slow database queries can cripple your application’s performance. New Relic provides insights into your database queries, helping you identify slow queries and optimize them. Navigate to the “Databases” section in New Relic to see a list of your slowest queries. Pay attention to the “Database time” metric, which represents the total time spent executing queries. Consider adding indexes to frequently queried columns. (Just be sure to test the impact of the new indexes on write performance.)

8. Monitoring Background Tasks

Don’t forget about your background tasks! New Relic can also monitor the performance of background tasks, such as scheduled jobs and message queue consumers. To monitor a background task, wrap its execution in a New Relic transaction using the newrelic.startBackgroundTransaction() and newrelic.endTransaction() methods. This will allow you to track the task’s duration, error rate, and other metrics. If you’re interested in other performance tools every technologist needs, consider exploring options for background task monitoring.

9. Case Study: E-commerce Performance Boost

Let’s consider a fictional e-commerce company, “Gadget Galaxy,” based near Perimeter Mall in Atlanta. They were experiencing slow page load times during peak hours, leading to abandoned shopping carts. Using New Relic, they identified that a specific database query used to fetch product recommendations was the culprit, taking an average of 3 seconds to execute. By adding an index to the product_category column, they reduced the query time to 0.1 seconds. This resulted in a 20% decrease in page load time and a 10% increase in conversion rates within two weeks. Moreover, they set up anomaly detection alerts to notify them of any future performance regressions. Gadget Galaxy also used New Relic’s browser monitoring to identify that unoptimized images on the product pages were contributing to slow load times, especially for mobile users in areas with weaker cell signals like near the Chattahoochee River. By compressing the images, they further improved page load times by 15%.

This case study highlights how important it is to stop bleeding users with better app performance.

10. Staying Updated with New Relic Features

New Relic is constantly evolving, with new features and improvements being released regularly. Stay informed about these updates by subscribing to the New Relic blog and attending webinars. This will help you take advantage of the latest capabilities and optimize your monitoring strategy. Are you really maximizing your investment if you aren’t using the latest features?

New Relic is a powerful tool, but its effectiveness hinges on proper setup, configuration, and continuous monitoring. By following these steps and adapting them to your specific needs, you can unlock valuable insights into your application’s performance and deliver a better user experience. Make sure to begin with properly configuring Browser monitoring to get a better picture of your front-end performance.

How do I find my New Relic license key?

Your New Relic license key is located in your New Relic account settings, under “Account settings” -> “API keys.”

What is NRQL?

NRQL (New Relic Query Language) is a SQL-like language that allows you to query the data collected by New Relic and create custom dashboards and alerts.

How often should I check my New Relic dashboards?

The frequency depends on the criticality of your application. For critical applications, you should check your dashboards at least daily. For less critical applications, a weekly check may suffice.

Can New Relic monitor mobile apps?

Yes, New Relic offers mobile monitoring capabilities for both iOS and Android apps.

Is New Relic expensive?

New Relic offers a variety of pricing plans, including a free tier. The cost depends on the volume of data you ingest and the features you use. Review the New Relic pricing page for current details.

Don’t just passively collect data with New Relic. Actively use it to identify and resolve performance bottlenecks. Start by focusing on your slowest transactions and database queries. Small improvements in these areas can lead to significant gains in overall application performance and user satisfaction and boost conversions.

Andrea Daniels

Principal Innovation Architect Certified Innovation Professional (CIP)

Andrea Daniels is a Principal Innovation Architect with over 12 years of experience driving technological advancements. He specializes in bridging the gap between emerging technologies and practical applications, particularly in the areas of AI and cloud computing. Currently, Andrea leads the strategic technology initiatives at NovaTech Solutions, focusing on developing next-generation solutions for their global client base. Previously, he was instrumental in developing the groundbreaking 'Project Chimera' at the Advanced Research Consortium (ARC), a project that significantly improved data processing speeds. Andrea's work consistently pushes the boundaries of what's possible within the technology landscape.