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.
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