New Relic is a powerful technology platform for observability, but its complexity can be daunting. Are you truly getting the most out of your New Relic investment, or are you just scratching the surface? It’s time to unlock its full potential.
Key Takeaways
- Configure New Relic’s Service Maps to automatically visualize dependencies between your applications and services.
- Set up targeted alerts with anomaly detection to reduce alert fatigue and focus on critical issues.
- Use New Relic’s query language (NRQL) to create custom dashboards that track specific business KPIs alongside performance metrics.
1. Initial Setup and Agent Installation
First, you’ll need an account. Head over to New Relic and sign up for a free tier or a paid plan depending on your needs. The free tier is great for small projects or experimentation.
Once you have an account, the first step is installing the New Relic agent on your servers or within your applications. New Relic supports a wide range of languages and frameworks, including Java, .NET, Python, Node.js, PHP, and Ruby.
The installation process varies depending on your environment. For example, if you’re using a Java application server like Tomcat, you’ll typically download the Java agent JAR file and add it to your Tomcat’s lib directory. You’ll also need to configure the newrelic.yml file with your account license key and application name.
Pro Tip: Always use the latest version of the New Relic agent. Newer versions often include performance improvements, bug fixes, and new features.
Common Mistake: Forgetting to restart your application server after installing the agent. The agent needs to be loaded into memory for it to start collecting data.
2. Configuring Service Maps
One of New Relic’s most useful features is its Service Maps. These maps automatically visualize the dependencies between your applications and services, making it easy to understand how different parts of your system interact. They are indispensable for troubleshooting issues that span multiple services.
To configure Service Maps, ensure that your agents are properly instrumented to capture distributed tracing data. This usually involves enabling distributed tracing in your agent configuration file. For example, in the newrelic.yml file for the Java agent, you would add the following:
distributed_tracing:
enabled: true
Once distributed tracing is enabled, New Relic will automatically start collecting data about the requests that flow between your services. After a few minutes, you should see your Service Map populated in the New Relic UI under the “Explorer” section. Look for the “Service Map” tab.
Pro Tip: Add custom attributes to your transactions to enrich your Service Map data. For example, you could add the customer ID or the product ID to each transaction. This will allow you to filter and analyze your Service Map data more effectively.
Common Mistake: Not enabling distributed tracing across all of your services. If you only enable it on some services, your Service Map will be incomplete and less useful.
3. Setting Up Targeted Alerts with Anomaly Detection
Alert fatigue is a real problem. If you’re constantly bombarded with alerts, you’ll start to ignore them, which can lead to missed critical issues. New Relic’s anomaly detection feature can help you reduce alert fatigue by only alerting you when something truly unusual is happening.
To set up targeted alerts with anomaly detection, go to the “Alerts & AI” section in the New Relic UI and create a new condition. Select the metric you want to monitor, such as “Response Time” or “Error Rate.” Then, choose the “Anomaly” threshold type.
You can customize the sensitivity of the anomaly detection algorithm by adjusting the “Deviation” and “Duration” settings. A higher deviation will make the algorithm less sensitive, while a longer duration will make it more sensitive.
For example, you could create an alert that triggers when the average response time of your application exceeds its historical baseline by 3 standard deviations for a period of 5 minutes.
I had a client last year who was struggling with alert fatigue. They were receiving hundreds of alerts per day, most of which were false positives. After implementing anomaly detection, they were able to reduce their alert volume by 80% and focus on the issues that really mattered.
Pro Tip: Use the “Evaluation Delay” setting to avoid triggering alerts during brief spikes in traffic. This setting allows New Relic to wait a specified amount of time before evaluating the alert condition.
Common Mistake: Setting the sensitivity of the anomaly detection algorithm too high or too low. If it’s too high, you’ll get too many false positives. If it’s too low, you’ll miss real issues.
4. Creating Custom Dashboards with NRQL
New Relic’s built-in dashboards are useful, but they may not always provide the specific insights you need. That’s where NRQL (New Relic Query Language) comes in. NRQL allows you to create custom dashboards that track specific business KPIs alongside performance metrics.
To create a custom dashboard with NRQL, go to the “Dashboards” section in the New Relic UI and create a new dashboard. Then, add a new chart and select “NRQL” as the data source.
You can then write NRQL queries to retrieve the data you want to display in the chart. For example, to display the average response time of your application over the past hour, you could use the following query:
SELECT average(duration) FROM Transaction SINCE 1 hour ago
You can also use NRQL to perform more complex calculations and aggregations. For example, to display the percentage of requests that resulted in an error, you could use the following query:
SELECT percentage(count(*), WHERE error IS TRUE) FROM Transaction SINCE 1 hour ago
We ran into this exact issue at my previous firm. We needed to track the number of new user sign-ups alongside application performance. We ended up crafting a NRQL query that joined data from our application logs with data from our marketing database. It wasn’t easy, but the resulting dashboard gave us a much clearer picture of our business performance.
Pro Tip: Use the NRQL documentation to learn more about the available functions and operators. NRQL is surprisingly powerful, and it can be used to create a wide range of custom dashboards.
Common Mistake: Writing inefficient NRQL queries. Inefficient queries can slow down your dashboards and consume unnecessary resources. Use the “Explain” feature to analyze your queries and identify potential performance bottlenecks.
5. Integrating with Third-Party Tools
New Relic integrates with a wide range of third-party tools, allowing you to centralize your monitoring data and automate your workflows. These integrations can range from simple webhook integrations to more complex integrations with tools like Slack, PagerDuty, and Jira.
For example, you can configure New Relic to send notifications to a Slack channel whenever an alert is triggered. This allows your team to be notified of critical issues in real-time.
To integrate New Relic with Slack, go to the “Integrations” section in the New Relic UI and select “Slack.” You’ll then need to authorize New Relic to access your Slack workspace and select the channel where you want to receive notifications.
You can also integrate New Relic with PagerDuty to automatically create incidents when an alert is triggered. This allows you to automate your incident management process and ensure that critical issues are addressed promptly.
A Gartner report found that organizations that automate their incident management processes can reduce their mean time to resolution (MTTR) by up to 30%.
Pro Tip: Use webhooks to integrate New Relic with tools that don’t have a dedicated integration. Webhooks allow you to send custom HTTP requests to any URL when an alert is triggered.
Common Mistake: Not properly configuring the integration. Make sure to test the integration after you configure it to ensure that it’s working as expected.
To ensure you are really watching closely, be sure to avoid the Datadog myths debunked.
If you’re finding that New Relic is causing data overload, you might need to adjust your settings.
And finally, consider the mistakes that make New Relic costly.
What is the difference between New Relic APM and New Relic Infrastructure?
New Relic APM (Application Performance Monitoring) focuses on monitoring the performance of your applications, providing insights into response times, error rates, and transaction traces. New Relic Infrastructure focuses on monitoring the health and performance of your servers, virtual machines, and containers.
How do I troubleshoot high CPU usage in New Relic?
First, identify the processes that are consuming the most CPU. New Relic Infrastructure can help you identify these processes. Then, use New Relic APM to drill down into the code that’s causing the high CPU usage. Look for slow queries, inefficient algorithms, and memory leaks.
Can I monitor background tasks with New Relic?
Yes, you can monitor background tasks with New Relic. You’ll need to instrument your background tasks using the New Relic agent API. This will allow New Relic to track the performance of your background tasks and identify any issues.
How do I reduce the overhead of the New Relic agent?
The New Relic agent has a minimal impact on performance, but there are a few things you can do to reduce the overhead even further. First, make sure you’re using the latest version of the agent. Newer versions often include performance improvements. Second, disable features that you’re not using. Third, adjust the sampling rate to reduce the amount of data that’s collected.
Is New Relic GDPR compliant?
Yes, New Relic is GDPR compliant. They have implemented a number of measures to protect the privacy of your data, including data encryption, access controls, and data retention policies.
Mastering New Relic takes time and dedication. However, by following these steps and continuously exploring its features, you can transform your approach to observability and gain invaluable insights into your systems. The key is to start small, experiment, and gradually expand your use of the platform.
Don’t be intimidated by New Relic’s complexity. Start with the basics, focus on the areas that are most important to your business, and gradually expand your knowledge. The rewards – improved performance, reduced downtime, and a deeper understanding of your systems – are well worth the effort. Make a plan to implement at least one of these steps next week.
