roubleshooting with New Relic involves diagnosing and resolving issues related to application and infrastructure performance. While New Relic provides real-time monitoring and insights, having a structured troubleshooting process is essential for effectively identifying and addressing problems. Here’s a detailed guide on New Relic troubleshooting:
1. Monitoring Setup and Configuration:
- Ensure Proper Instrumentation: Verify that the New Relic agents are correctly installed and configured in your application code, servers, containers, or cloud instances.
- Integrate with Key Services: Confirm that New Relic is integrated with all relevant components, such as databases, external services, and third-party APIs.
- Check Access and Permissions: Ensure that team members have the appropriate access and permissions to view New Relic data and configure alert policies.
2. Monitoring Basics:
- Review Dashboards: Start by examining New Relic dashboards for high-level insights into application and infrastructure performance.
- Check Apdex Scores: Monitor Apdex scores to gauge user satisfaction with response times. Identify transactions with low Apdex scores for further investigation.
- Throughput Analysis: Analyze throughput metrics to understand the volume of requests and transactions your application is handling.
3. Alert Policies and Conditions:
- Review Alert Policies: Confirm that your alert policies are well-defined and cover critical aspects of your application, such as error rates, response times, and resource utilization.
- Evaluate Thresholds: Check the thresholds set in alert conditions. Adjust thresholds if they are too sensitive or not capturing significant issues.
4. Error Analysis:
- Error Rate Investigation: Investigate elevated error rates and identify the types of errors occurring. Prioritize addressing critical errors affecting user experience.
- Error Traces: Use error traces to get detailed information about when and where errors are occurring in your application code.
5. Transaction Traces:
- Transaction Trace Analysis: Dive into transaction traces to pinpoint slow-performing transactions and identify bottlenecks within the code or external services.
- Segmentation: Segment transactions to focus on specific user groups or application features. Analyze segment-specific performance.
6. Database Performance:
- Database Query Analysis: Monitor database query performance and identify slow or inefficient queries that may impact application response times.
- Database Transaction Traces: Use New Relic to analyze individual database transactions to understand the source of delays.
7. Infrastructure Monitoring:
- Resource Utilization: Check CPU, memory, and disk usage on servers or instances. Look for resource bottlenecks that may affect application performance.
- Network and Disk Metrics: Examine network and disk I/O metrics to detect anomalies or issues that could impact application behavior.
8. External Service Calls:
- External Service Metrics: Monitor response times and error rates for calls to external services and APIs. Investigate slow or failing external service calls.
9. Custom Metrics and Events:
- Custom Metrics: Review and analyze custom metrics specific to your application’s business logic and performance indicators.
- Custom Events: Leverage custom events to track and analyze specific events or user interactions within your application.
I’m Rajesh Kumar, a DevOps, SRE, DevSecOps, Cloud, and Platform Engineering expert passionate about sharing practical knowledge, real-world experiences, and industry best practices. I have worked at Cotocus and regularly write about technology, travel, investing, health, product reviews, and digital marketing through my various platforms.
I publish technical articles at DevOps School, travel stories at Holiday Landmark, stock market insights at Stocks Mantra, health and fitness guidance at My Medic Plus, product reviews at TrueReviewNow, and SEO and digital marketing strategies at Wizbrand.
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