Navigating New Relic: Avoiding Common Pitfalls for Tech Professionals
New Relic is a powerful technology platform for monitoring the performance of your applications and infrastructure. But even the best tools can be misused or underutilized. Are you truly getting the most out of your New Relic investment, or are you leaving valuable insights on the table?
Key Takeaways
- Failing to properly configure your alert thresholds in New Relic can lead to alert fatigue and missed critical issues.
- Ignoring the power of custom dashboards in New Relic means you’re missing out on tailored visualizations specific to your business needs.
- Not segmenting your data effectively using attributes will make it difficult to pinpoint the root cause of performance problems.
1. Neglecting Proper Alert Configuration
One of the most frequent mistakes I see is neglecting to properly configure alert thresholds. A deluge of meaningless alerts is worse than no alerts at all. I’ve seen entire teams become desensitized to New Relic notifications simply because they’re constantly bombarded with false positives. This is a recipe for disaster.
How to Fix It: Use the New Relic Alerts interface to set meaningful thresholds. Don’t just accept the default settings. Consider the historical performance of your application and set thresholds that reflect normal operating ranges. For example, if your average response time is 200ms, don’t set an alert threshold at 250ms. Start higher, maybe 500ms, and then fine-tune it based on observed patterns.
Pro Tip: Use different alert severity levels (Critical, Warning, Info) to differentiate between urgent issues and less critical ones. Route critical alerts to on-call engineers and less critical alerts to a team inbox.
Common Mistake: Setting overly sensitive alert thresholds that trigger frequently, leading to alert fatigue. You will quickly learn to ignore the alerts. I’ve seen this happen repeatedly.
| Feature | New Relic APM (Default) | Custom Instrumentation | New Relic Infrastructure | |
|---|---|---|---|---|
| Granular Transaction Tracing | ✓ Yes | ✓ Yes | ✗ No | |
| Detailed Database Query Analysis | ✓ Yes | ✓ Yes | ✗ No | Requires specific configuration, may miss slow queries. |
| Custom Attributes/Metadata | ✗ No | ✓ Yes | ✓ Yes | Enables enriching data with business context. |
| Infrastructure Monitoring (Servers) | ✗ No | ✗ No | ✓ Yes | Tracks CPU, memory, disk I/O, network metrics. |
| Application Dependency Mapping | Partial | ✓ Yes | Partial | Automated discovery needs manual refinement for full accuracy. |
| Log Management Integration | ✗ No | ✓ Yes | ✓ Yes | Centralized log ingestion & correlation with performance data. |
| Custom Metric Collection | ✗ No | ✓ Yes | ✓ Yes | Allows tracking of unique application-specific key performance indicators. |
2. Ignoring Custom Dashboards
New Relic provides a wealth of data, but raw data alone isn’t enough. You need to visualize that data in a way that’s meaningful to your specific business needs. That’s where custom dashboards come in. Many users stick with the default dashboards, missing out on the power of tailored visualizations.
How to Fix It: Create custom dashboards using the New Relic Dashboards feature. Start by identifying the key metrics that are most important to your team, such as transaction response time, error rate, and CPU utilization. Then, create charts and graphs that display these metrics in a clear and concise way. Use NRQL (New Relic Query Language) to create custom queries and filters that focus on the specific data you need. For example, you could create a dashboard that shows the performance of your e-commerce application during peak shopping hours on Black Friday. I created a dashboard for a client last year that tracked the number of successful transactions per minute, and it helped them identify a bottleneck in their payment processing system.
Pro Tip: Use different chart types (line charts, bar charts, pie charts) to visualize your data in the most effective way. Experiment with different layouts and groupings to find the best way to present your data.
Common Mistake: Relying solely on default dashboards and missing out on the benefits of custom visualizations.
3. Poor Data Segmentation
When performance issues arise, you need to be able to quickly pinpoint the root cause. This requires segmenting your data effectively. Are you tracking user types, geographic regions, or specific application versions? If not, you’re making it much harder to diagnose problems. If you want to kill performance bottlenecks, start with this.
How to Fix It: Use attributes to segment your data. Attributes are key-value pairs that you can add to your New Relic events. For example, you could add an attribute called “user_type” to track the performance of different user groups (e.g., “free,” “premium,” “enterprise”). Or you could add an attribute called “region” to track the performance of your application in different geographic regions. To add attributes, use the New Relic Agent configuration or the New Relic API. We had an issue last quarter where our application was performing poorly for users in the Southeast. By segmenting our data by region, we were able to quickly identify the problem and resolve it.
Pro Tip: Use consistent naming conventions for your attributes. This will make it easier to query and filter your data.
Common Mistake: Not segmenting data effectively, making it difficult to diagnose performance problems.
4. Ignoring the Power of NRQL
New Relic Query Language (NRQL) is your key to unlocking the full potential of New Relic. It allows you to query your data in powerful ways, create custom dashboards, and set up complex alerts. Many users are intimidated by NRQL, but it’s well worth learning. Learning this is one way to maximize your ROI now.
How to Fix It: Start by learning the basics of NRQL. The New Relic documentation provides a comprehensive tutorial. Begin with simple queries, such as selecting the average response time for a specific transaction. Then, gradually move on to more complex queries, such as calculating the error rate for a specific application. Use the NRQL editor in the New Relic UI to test your queries and experiment with different functions. For example, you could use NRQL to create a dashboard that shows the number of users who have experienced an error in the last hour.
Pro Tip: Use the NRQL “TIMESERIES” clause to create time-series charts that show how your metrics change over time. This is a great way to visualize trends and identify anomalies.
Common Mistake: Underutilizing NRQL and missing out on the ability to create custom queries and dashboards.
5. Not Properly Tagging Transactions
Transactions are the heart of your application. Properly tagging transactions allows you to track their performance and identify bottlenecks. Without proper tagging, you’re essentially flying blind.
How to Fix It: Use the New Relic Agent API to tag your transactions with meaningful names and attributes. For example, you could tag transactions with the name of the endpoint they’re hitting, or with the ID of the user who initiated the transaction. This will allow you to filter your data and identify the transactions that are performing poorly. We ran into this exact issue at my previous firm. We weren’t properly tagging our transactions, and it was impossible to tell which endpoints were causing performance problems. Once we started tagging our transactions, we were able to quickly identify the bottlenecks and resolve them. Making sure your tech is reliable starts here.
Pro Tip: Use consistent naming conventions for your transaction tags. This will make it easier to query and filter your data.
Common Mistake: Not properly tagging transactions, making it difficult to track their performance and identify bottlenecks.
Here’s what nobody tells you: New Relic isn’t a set-it-and-forget-it tool. It requires constant monitoring, tuning, and customization to get the most out of it. Ignoring these common mistakes can lead to missed opportunities and wasted resources. Don’t fall into that trap.
What is NRQL?
NRQL stands for New Relic Query Language. It is a SQL-like language that allows you to query your data in New Relic. You can use NRQL to create custom dashboards, set up alerts, and perform advanced analysis.
How do I add custom attributes to my New Relic events?
You can add custom attributes to your New Relic events using the New Relic Agent API. The specific method will vary depending on the agent you’re using (e.g., Java, Python, Node.js). Refer to the New Relic documentation for your specific agent for detailed instructions.
What are the different types of alert severity levels in New Relic?
New Relic offers several alert severity levels, including Critical, Warning, and Info. Critical alerts are used for urgent issues that require immediate attention. Warning alerts are used for less critical issues that may require investigation. Info alerts are used for informational messages that don’t necessarily require action.
How often should I review my New Relic alert thresholds?
You should review your New Relic alert thresholds regularly, at least once a quarter. As your application and infrastructure evolve, your alert thresholds may need to be adjusted to reflect changes in performance patterns. Consider setting a recurring calendar reminder to review your alert configurations.
Can I use New Relic to monitor the performance of my mobile application?
Yes, New Relic offers a mobile monitoring solution that allows you to track the performance of your iOS and Android applications. You can use New Relic Mobile to monitor crash rates, network performance, and user experience metrics.
Take the time today to revisit your New Relic setup, focusing specifically on alert thresholds. A few hours spent tuning your alerts could save you from a major outage next week. To ensure your tech reliability, start with the basics.
