The world of observability is rife with misconceptions, especially when it comes to platforms like New Relic. Many users, even experienced ones, fall into traps that hinder their ability to fully extract value from this powerful technology. Are you sure you’re not one of them?
Key Takeaways
- Don’t rely solely on default dashboards; customize them to visualize the specific metrics that matter most to your applications and business goals.
- Properly configure alerting thresholds and notification channels in New Relic to avoid alert fatigue and ensure timely responses to critical issues.
- Always use custom attributes to add contextual data to your New Relic events, enabling more granular analysis and troubleshooting.
Myth #1: Default Dashboards Provide Sufficient Insight
The Misconception: “New Relic’s default dashboards offer a complete picture of my application’s performance, so I don’t need to create custom ones.”
The Reality: Default dashboards are a great starting point, but they rarely provide the granular, contextualized information you need for effective monitoring. They show you a broad overview, but they lack the specificity required to pinpoint the root cause of problems or track key business metrics.
I remember a client, a small e-commerce company based here in Atlanta, near the intersection of Peachtree and Lenox, who relied solely on the default dashboards for months. They were constantly plagued by slow page load times, but couldn’t figure out why. After I helped them create custom dashboards focused on database query performance, external API latency, and the performance of their checkout process, they quickly identified a poorly optimized database query that was bogging down the entire system. They slashed page load times by 40% simply by addressing that one query. Don’t make the same mistake.
Myth #2: Alerting Should Be Loud and Constant
The Misconception: “The more alerts, the better. I want to know about every potential issue, no matter how minor.”
The Reality: Bombarding your team with alerts for every little blip is a recipe for alert fatigue. When everything is urgent, nothing is urgent. You’ll end up ignoring critical alerts because they’re buried under a mountain of noise. The key is to configure your alerts strategically, focusing on thresholds that indicate real problems and routing notifications to the appropriate teams.
Instead of alerting on CPU usage exceeding 70% across the board, for example, consider setting different thresholds for different environments. A 70% CPU spike in production is probably worth investigating, but the same spike in a development environment might be perfectly normal. Use New Relic’s anomaly detection features to identify unusual behavior that deviates from established baselines, rather than relying on static thresholds alone. This is especially important for applications that experience seasonal traffic patterns. For more on this, see our article on load testing.
Myth #3: Data is Data – No Need for Custom Attributes
The Misconception: “New Relic automatically captures all the data I need, so there’s no point in adding custom attributes.”
The Reality: While New Relic captures a wealth of information out of the box, custom attributes allow you to add contextual data that is specific to your application and business. This additional data can be invaluable for troubleshooting, performance analysis, and understanding user behavior.
For instance, if you’re running an online marketplace, adding custom attributes to your transaction events that indicate the category of product being viewed or the user’s membership level can help you identify performance bottlenecks that are specific to certain product categories or user segments. Without these attributes, you’re flying blind.
I worked with a financial services firm downtown, near the Fulton County Courthouse, who had a heck of a time debugging slow transaction times for certain users. After adding custom attributes to track the type of financial instrument being traded and the user’s geographic location, they discovered that the slowness was only affecting users in certain regions trading a specific type of bond. This allowed them to quickly isolate the problem and implement a targeted solution. This is where expert tech analysis becomes crucial.
Myth #4: New Relic is Only for Monitoring Production Environments
The Misconception: “New Relic is primarily a tool for monitoring production environments. It’s not as useful in development or staging.”
The Reality: While New Relic is certainly valuable for monitoring production, it can also be incredibly helpful in development and staging environments. Using it in these earlier stages of the software development lifecycle allows you to identify performance issues and bugs before they ever reach production, saving you time, money, and headaches.
Consider using New Relic to monitor your automated testing suite. By tracking the performance of your tests over time, you can identify regressions and ensure that your code is meeting performance targets. You can even integrate New Relic with your CI/CD pipeline to automatically fail builds that introduce performance regressions. Many teams integrate this with their A/B testing processes.
Myth #5: Ignoring the Query Builder
The Misconception: “The New Relic Query Language (NRQL) is too complicated, so I’ll just stick to the pre-built reports.”
The Reality: NRQL is the key to unlocking the full potential of New Relic. While the pre-built reports are useful, they only scratch the surface of what’s possible. NRQL allows you to slice and dice your data in countless ways, create custom visualizations, and build sophisticated alerts.
Yes, there’s a learning curve, but it’s worth the investment. Start with simple queries and gradually work your way up to more complex ones. New Relic provides extensive documentation and examples to help you get started. Think of NRQL as the SQL of your application data.
Here’s what nobody tells you: Mastering NRQL isn’t just about writing queries; it’s about understanding your data and knowing what questions to ask. It’s a skill that will make you a more effective troubleshooter, performance engineer, and data-driven decision maker.
Myth #6: The More Data, The Better
The Misconception: “Collecting and storing every conceivable metric is the best way to ensure comprehensive monitoring.”
The Reality: While having access to a wide range of data can be beneficial, indiscriminately collecting everything can lead to data overload. This makes it harder to identify the signals that actually matter amidst all the noise. Furthermore, storing unnecessary data can significantly increase your New Relic costs. Understanding and avoiding tech performance myths can prevent this.
A better approach is to focus on collecting the metrics that are most relevant to your key performance indicators (KPIs) and business goals. Before you start collecting a new metric, ask yourself: “How will this data help me make better decisions or solve problems more effectively?” If you can’t answer that question, it’s probably not worth collecting.
A report by Gartner found that by 2023, organizations that promote data literacy will see a 20% increase in the business value derived from their data and analytics investments. Now, in 2026, that number is likely even higher. Data literacy is not just about understanding the data, but understanding what data is worth collecting.
Don’t fall victim to these common New Relic misconceptions. By understanding the platform’s capabilities and adopting a strategic approach to monitoring, you can unlock its full potential and gain valuable insights into your application’s performance. The best thing you can do is invest time in learning NRQL to get the most out of the platform.
How do I get started with custom dashboards in New Relic?
Start by identifying the key metrics that are most important to your application and business. Then, use the New Relic dashboard builder to create custom visualizations that display these metrics in a clear and concise way. Don’t be afraid to experiment with different chart types and layouts to find what works best for you.
What are some best practices for configuring alerts in New Relic?
Focus on setting alerts for critical issues that directly impact your users or business. Use anomaly detection to identify unusual behavior, and route notifications to the appropriate teams. Regularly review and adjust your alert thresholds to avoid alert fatigue.
How can I add custom attributes to my New Relic events?
You can add custom attributes to your events using the New Relic agent API. The specific steps will vary depending on the language and framework you’re using. Consult the New Relic documentation for detailed instructions.
Is New Relic expensive?
New Relic’s pricing is based on data ingestion and user count. It can be expensive if you’re collecting a lot of unnecessary data or have a large number of users. However, by optimizing your data collection and user management, you can often reduce your costs significantly. Consider using data filters to reduce the amount of data ingested.
Where can I learn more about NRQL?
New Relic provides extensive documentation and examples of NRQL on their website. There are also many online tutorials and courses available. Experimenting and practicing is the best way to learn.
Don’t just passively monitor; actively manage your observability data. Start small: implement custom attributes for a single, critical transaction type this week. You’ll be surprised at the actionable insights you uncover.
