New Relic Engineer Interview Questions and Answers [2025]

Observability and Telemetry

1. How would you configure New Relic for monitoring a microservices application?

Configure New Relic by installing the APM agent for each microservice, setting up Kubernetes integrations for cluster monitoring, and enabling log ingestion. Use New Relic One dashboards to visualize metrics and integrate with CI/CD pipelines for deployment tracking.

# Example New Relic Kubernetes integration apiVersion: v1 kind: ConfigMap metadata: name: newrelic-infra data: cluster_name: "prod-cluster" nr_license_key: "your_license_key"

Test in staging and validate via dashboards.

2. Why does New Relic fail to collect telemetry data?

• Misconfigured agent settings.
• Network latency disrupts data ingestion.
• Incorrect license key configuration.
• Compliance policies block telemetry.
• Kubernetes pod misconfigurations.
• Ignored analytics for data gaps.
• Inconsistent team reviews for setups.

3. When should teams enable New Relic for observability?

• Monitoring microservices in production.
• Tracking Kubernetes cluster performance.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating alerting workflows.
• Troubleshooting performance issues.
• Validating metrics with team reviews.

4. Where does New Relic collect telemetry data?

New Relic collects telemetry data from APM agents, infrastructure integrations, and logs, integrating with Kubernetes for cluster metrics and CI/CD for pipeline insights. It uses dashboards for visualization and alerts for issue tracking.

5. Who configures New Relic observability?

SREs configure New Relic agents and integrations, DevOps engineers set up pipeline monitoring, security teams enforce compliance, and data analysts create dashboards. They use Jira for coordination, and team leads oversee setups.

Executives monitor performance metrics.

6. Which New Relic features enhance observability?

• APM for application performance.
• Infrastructure monitoring for hosts.
• Kubernetes integration for clusters.
• Log analytics for debugging.
• Distributed tracing for microservices.
• Dashboards for real-time insights.
• APIs for automated workflows.

7. How does New Relic support distributed tracing?

New Relic enables distributed tracing by instrumenting microservices with APM agents, capturing request flows across services. It integrates with Kubernetes for pod-level tracing and provides dashboards for visualization, ensuring multi-cloud observability.

• Enable tracing in agent configs.
• Test in staging environments.
• Monitor via New Relic One.
• Validate with team reviews.

8. What if New Relic’s telemetry ingestion stalls?

• Verify agent connectivity and configs.
• Check network bandwidth limits.
• Integrate with CI/CD for diagnostics.
• Refine telemetry settings for accuracy.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

9. Why does New Relic’s data accuracy falter?

• Incomplete agent instrumentation.
• Misconfigured Kubernetes integrations.
• CI/CD pipelines miss telemetry hooks.
• Compliance policies restrict data.
• Network issues delay ingestion.
• Ignored analytics for data gaps.
• Inconsistent team reviews for configs.

10. When should New Relic be used for application monitoring?

• Tracking application performance metrics.
• For Kubernetes pod monitoring.
• During compliance validation phases.
• Integrating with CI/CD for deployments.
• Automating performance alerts.
• Troubleshooting application issues.
• Validating metrics with team reviews.

11. Where does New Relic store telemetry data?

New Relic stores telemetry data in its cloud platform, integrating with Kubernetes for cluster metrics, CI/CD for pipeline data, and log sources for analytics. Dashboards visualize data, and alerts notify teams of issues.

12. Who configures New Relic integrations?

DevOps engineers configure integrations for Kubernetes and CI/CD, SREs optimize telemetry collection, security teams enforce compliance, and data analysts build dashboards. They use Jira for coordination, and team leads oversee setups.

Executives monitor observability metrics.

13. Which New Relic integrations support observability?

• Kubernetes for cluster monitoring.
• AWS for cloud infrastructure.
• Azure for multi-cloud metrics.
• Prometheus for open-source metrics.
• CI/CD for pipeline insights.
• Log analytics for debugging.
• APIs for automated workflows.

14. How does New Relic integrate with Kubernetes?

New Relic integrates with Kubernetes via the infrastructure agent, collecting pod and cluster metrics. It supports Kubernetes provisioning with dashboards for visualization.

• Deploy New Relic infrastructure agent.
• Configure cluster metadata.
• Test in staging environments.
• Monitor via New Relic One.

15. What if New Relic’s Kubernetes integration fails?

• Verify agent deployment configs.
• Check Kubernetes API access.
• Diagnose with log analytics.
• Refine integration settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

Application Performance Monitoring (APM)

16. How would you set up New Relic APM for a Java application?

Install the New Relic Java agent in the application, configure the license key, and enable transaction tracing. Integrate with CI/CD for deployment monitoring and use dashboards for performance insights.

# Example New Relic Java agent setup export NEW_RELIC_LICENSE_KEY="your_license_key" export NEW_RELIC_APP_NAME="java-app" java -javaagent:newrelic.jar -jar app.jar

Test in staging and validate via dashboards.

17. Why does New Relic APM fail to capture metrics?

• Incorrect agent configurations.
• Application runtime incompatibilities.
• Network issues block data transmission.
• Compliance policies restrict metrics.
• Kubernetes pod misconfigurations.
• Ignored analytics for metric gaps.
• Inconsistent team reviews for setups.

18. When should teams enable New Relic APM?

• Monitoring application performance.
• For microservices transaction tracing.
• During compliance validation phases.
• Integrating with CI/CD pipelines.
• Automating performance alerts.
• Troubleshooting application issues.
• Validating metrics with team reviews.

19. Where does New Relic collect APM data?

New Relic collects APM data from instrumented applications, integrating with Kubernetes for pod metrics and CI/CD for deployment insights. Dashboards visualize performance, and alerts notify teams of issues.

20. Who configures New Relic APM?

DevOps engineers install APM agents, SREs optimize performance metrics, security teams enforce compliance, and data analysts create dashboards. They use Jira for coordination, and team leads oversee setups.

Executives monitor performance metrics.

21. Which New Relic APM features enhance monitoring?

• Transaction tracing for bottlenecks.
• Error tracking for debugging.
• Kubernetes integration for pod metrics.
• Service maps for dependency tracking.
• Analytics for performance trends.
• APIs for automated workflows.
• Custom dashboards for insights.

22. How does New Relic handle transaction tracing?

New Relic handles transaction tracing by instrumenting applications with APM agents, capturing request flows across microservices. It integrates with Kubernetes for pod-level tracing and visualizes data in New Relic One.

• Enable tracing in agent configs.
• Test in staging environments.
• Monitor via dashboards.
• Validate with team reviews.

23. What if New Relic APM data is incomplete?

• Verify agent instrumentation.
• Check application runtime configs.
• Diagnose with log analytics.
• Refine APM settings for accuracy.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

24. Why does New Relic APM slow down applications?

• Overinstrumented agent settings.
• High telemetry data volume.
• Network latency impacts transmission.
• Compliance policies restrict metrics.
• Kubernetes resource constraints.
• Ignored analytics for performance issues.
• Inconsistent team reviews for configs.

25. When should New Relic be used for error tracking?

• Debugging application failures.
• For microservices error correlation.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating error alerts.
• Troubleshooting application issues.
• Validating errors with team reviews.

26. Where does New Relic capture error data?

New Relic captures error data from APM agents and logs, integrating with Kubernetes for pod-level errors and CI/CD for deployment issues. Dashboards visualize errors, and alerts notify teams.

27. Who configures New Relic error tracking?

DevOps engineers configure error tracking, SREs optimize alert rules, security teams enforce compliance, and data analysts build dashboards. They use Jira for coordination, and team leads oversee setups.

Executives monitor error metrics.

28. Which features support New Relic error tracking?

• Error analytics for root cause.
• APM for error tracing.
• Log integration for context.
• Kubernetes for pod-level errors.
• Analytics for error trends.
• APIs for automated workflows.
• Custom alerts for notifications.

29. How does New Relic integrate with CI/CD for APM?

New Relic integrates with CI/CD pipelines like Jenkins or GitHub Actions to track deployment performance. It uses APIs to send metrics and ensures CI/CD efficiency.

• Configure pipeline webhooks.
• Integrate APM agents.
• Test in staging environments.
• Monitor via dashboards.

30. What if New Relic’s CI/CD integration fails?

• Verify webhook configurations.
• Check CI/CD pipeline settings.
• Diagnose with log analytics.
• Refine integration settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

Kubernetes and Infrastructure Monitoring

31. How does New Relic monitor Kubernetes clusters?

New Relic monitors Kubernetes clusters using the infrastructure agent and Pixie for real-time telemetry. It captures pod, node, and cluster metrics, integrating with New Relic One for visualization.

# Example New Relic Kubernetes Pixie deployment apiVersion: apps/v1 kind: Deployment metadata: name: newrelic-pixie spec: template: spec: containers: - name: pixie image: newrelic/pixie:latest env: - name: NRIA_LICENSE_KEY value: "your_license_key"

Test in staging and validate via dashboards.

32. Why does New Relic fail to monitor Kubernetes?

• Misconfigured infrastructure agent.
• Kubernetes API access issues.
• Network latency disrupts telemetry.
• Compliance policies block metrics.
• Pod resource constraints.
• Ignored analytics for monitoring gaps.
• Inconsistent team reviews for configs.

33. When should teams enable New Relic for Kubernetes monitoring?

• Tracking cluster performance metrics.
• For microservices pod monitoring.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating cluster alerts.
• Troubleshooting cluster issues.
• Validating metrics with team reviews.

34. Where does New Relic collect Kubernetes metrics?

New Relic collects Kubernetes metrics from infrastructure agents and Pixie, integrating with CI/CD for deployment insights and logs for debugging. Dashboards visualize cluster health, and alerts notify teams.

35. Who configures New Relic for Kubernetes?

SREs configure Kubernetes integrations, DevOps engineers deploy agents, security teams enforce compliance, and data analysts build dashboards. They use Jira for coordination, and team leads oversee setups.

Executives monitor cluster metrics.

36. Which New Relic features support Kubernetes monitoring?

• Pixie for real-time telemetry.
• Infrastructure agent for cluster metrics.
• Service maps for pod dependencies.
• Log analytics for debugging.
• Analytics for cluster trends.
• APIs for automated workflows.
• Custom dashboards for insights.

37. How does New Relic handle Kubernetes pod failures?

New Relic detects pod failures using infrastructure agents and Pixie, correlating logs and metrics. It integrates with alerting tools to notify teams and supports incident response.

• Configure failure alerts.
• Test in staging environments.
• Monitor via dashboards.
• Validate with team reviews.

38. What if New Relic’s Kubernetes monitoring fails?

• Verify agent and Pixie configs.
• Check Kubernetes API access.
• Diagnose with log analytics.
• Refine monitoring settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

39. Why does New Relic’s Kubernetes monitoring lag?

• High telemetry data volume.
• Misconfigured Pixie settings.
• Network latency impacts transmission.
• Compliance policies restrict metrics.
• Kubernetes resource constraints.
• Ignored analytics for lag issues.
• Inconsistent team reviews for configs.

40. When should New Relic be used for infrastructure monitoring?

• Tracking host and cluster metrics.
• For multi-cloud infrastructure health.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating infrastructure alerts.
• Troubleshooting resource issues.
• Validating metrics with team reviews.

41. Where does New Relic monitor infrastructure?

New Relic monitors infrastructure using agents for hosts and containers, integrating with Kubernetes for cluster metrics and AWS for cloud resources. Dashboards visualize health, and alerts notify teams.

42. Who configures New Relic infrastructure monitoring?

SREs configure infrastructure agents, DevOps engineers monitor hosts, security teams enforce compliance, and data analysts build dashboards. They use Jira for coordination, and team leads oversee setups.

Executives monitor infrastructure metrics.

43. Which features support New Relic infrastructure monitoring?

• Infrastructure agents for host metrics.
• Kubernetes integration for clusters.
• AWS integration for cloud resources.
• Log analytics for debugging.
• Analytics for infrastructure trends.
• APIs for automated workflows.
• Custom dashboards for insights.

44. How does New Relic integrate with AWS for infrastructure monitoring?

New Relic integrates with AWS via CloudWatch and infrastructure agents, collecting metrics for EC2, ECS, and EKS. It supports cloud monitoring with dashboards for visualization.

• Configure AWS integrations.
• Test in staging environments.
• Monitor via New Relic One.
• Validate with team reviews.

45. What if New Relic’s AWS integration fails?

• Verify CloudWatch permissions.
• Check infrastructure agent configs.
• Diagnose with log analytics.
• Refine integration settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

Alerting and Incident Management

46. How does New Relic configure alerting for performance issues?

New Relic configures alerting with conditions based on APM and infrastructure metrics, integrating with PagerDuty for notifications. It ensures incident management.

# Example New Relic alert condition (via API) curl -X POST "https://api.newrelic.com/v2/alerts_conditions.json" \ -H "X-Api-Key:your_api_key" \ -d '{ "condition": { "type": "apm_app_metric", "name": "High Latency Alert", "entities": ["java-app"], "metric": "response_time", "condition_terms": [ {"threshold": 500, "duration": 5, "operator": "above"} ] } }'

Test alerts in staging and validate via dashboards.

47. Why do New Relic alerts fail to trigger?

• Misconfigured alert conditions.
• Incorrect threshold settings.
• Network issues block notifications.
• Compliance policies restrict alerts.
• PagerDuty integration errors.
• Ignored analytics for alert gaps.
• Inconsistent team reviews for configs.

48. When should teams enable New Relic for alerting?

• Monitoring application performance issues.
• For Kubernetes pod failures.
• During compliance audit phases.
• Integrating with PagerDuty for incidents.
• Automating alert workflows.
• Troubleshooting alert failures.
• Validating alerts with team reviews.

49. Where does New Relic send alerts?

New Relic sends alerts to PagerDuty, Slack, or email, integrating with Kubernetes for pod alerts and CI/CD for pipeline issues. Dashboards visualize alert status, and logs provide context.

50. Who configures New Relic alerting?

SREs configure alert conditions, DevOps engineers integrate with PagerDuty, security teams enforce compliance, and data analysts monitor alert trends. They use Jira for coordination, and team leads oversee setups.

Executives monitor incident metrics.

51. Which New Relic features support alerting?

• Alert conditions for metrics.
• PagerDuty integration for notifications.
• Log analytics for alert context.
• Kubernetes for pod-level alerts.
• Analytics for alert trends.
• APIs for automated workflows.
• Custom dashboards for alert status.

52. How does New Relic integrate with PagerDuty?

New Relic integrates with PagerDuty via webhooks to escalate incidents, correlating metrics and logs for context. It supports incident management.

• Configure PagerDuty webhooks.
• Test alerts in staging environments.
• Monitor via dashboards.
• Validate with team reviews.

53. What if New Relic’s PagerDuty integration fails?

• Verify webhook configurations.
• Check PagerDuty API access.
• Diagnose with log analytics.
• Refine integration settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

54. Why do New Relic alerts have false positives?

• Overly sensitive thresholds.
• Incomplete metric configurations.
• Network latency mimics issues.
• Compliance policies misalign alerts.
• PagerDuty webhook errors.
• Ignored analytics for alert accuracy.
• Inconsistent team reviews for configs.

55. When should New Relic be used for incident response?

• Resolving application outages.
• For Kubernetes pod failures.
• During compliance audit phases.
• Integrating with PagerDuty for escalation.
• Automating incident workflows.
• Troubleshooting incident issues.
• Validating responses with team reviews.

56. Where does New Relic manage incident data?

New Relic manages incident data in New Relic One, integrating with PagerDuty for escalation and logs for context. Dashboards visualize incident status, and alerts notify teams.

57. Who configures New Relic for incident management?

SREs configure incident alerts, DevOps engineers integrate with PagerDuty, security teams enforce compliance, and data analysts monitor incident trends. They use Jira for coordination, and team leads oversee setups.

Executives monitor incident metrics.

58. Which integrations support New Relic incident management?

• PagerDuty for incident escalation.
• Slack for team notifications.
• Log analytics for incident context.
• Kubernetes for pod-level incidents.
• Analytics for incident trends.
• APIs for automated workflows.
• Custom dashboards for incident status.

59. How would you set up New Relic for incident alerting?

Configure New Relic alerting with conditions for application and infrastructure metrics, integrating with PagerDuty for escalation. Use log analytics for context and dashboards for visualization.

# Example New Relic incident alert setup curl -X POST "https://api.newrelic.com/v2/alerts_policies.json" \ -H "X-Api-Key:your_api_key" \ -d '{ "policy": { "name": "Incident Policy", "incident_preference": "PER_CONDITION" } }'

Test in staging and validate via dashboards.

60. What if New Relic’s incident alerting fails?

• Verify alert policy configurations.
• Check PagerDuty webhook settings.
• Diagnose with log analytics.
• Refine alert conditions.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

Multi-Cloud and Scalability

61. How does New Relic support multi-cloud monitoring?

New Relic supports multi-cloud monitoring with integrations for AWS, Azure, and GCP, collecting metrics for EC2, AKS, and GKE. It integrates with Kubernetes for cluster monitoring and dashboards for visualization.

62. Why does New Relic fail to monitor multi-cloud environments?

• Misconfigured cloud integrations.
• Cloud API access issues.
• Network latency disrupts telemetry.
• Compliance policies block metrics.
• Kubernetes misconfigurations.
• Ignored analytics for monitoring gaps.
• Inconsistent team reviews for configs.

63. When should teams enable New Relic for multi-cloud monitoring?

• Tracking cross-cloud performance.
• For Kubernetes multi-cloud clusters.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating cloud alerts.
• Troubleshooting cloud issues.
• Validating metrics with team reviews.

64. Where does New Relic collect multi-cloud metrics?

New Relic collects multi-cloud metrics from CloudWatch, Azure Monitor, and GCP Monitoring, integrating with Kubernetes for cluster data and CI/CD for pipeline insights. Dashboards visualize cloud health.

65. Who configures New Relic for multi-cloud?

Cloud architects configure multi-cloud integrations, SREs optimize telemetry, security teams enforce compliance, and data analysts build dashboards. They use Jira for coordination, and team leads oversee setups.

Executives monitor cloud metrics.

66. Which New Relic integrations support multi-cloud?

• AWS CloudWatch for EC2 metrics.
• Azure Monitor for AKS metrics.
• GCP Monitoring for GKE metrics.
• Kubernetes for cluster monitoring.
• Analytics for cloud trends.
• APIs for automated workflows.
• Custom dashboards for insights.

67. How does New Relic integrate with multi-cloud providers?

New Relic integrates with multi-cloud providers via APIs for AWS, Azure, and GCP, collecting metrics for infrastructure and applications. It supports multi-cloud strategy.

• Configure cloud API integrations.
• Test in staging environments.
• Monitor via New Relic One.
• Validate with team reviews.

68. What if New Relic’s multi-cloud integration fails?

• Verify cloud API permissions.
• Check integration configurations.
• Diagnose with log analytics.
• Refine integration settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

69. Why does New Relic’s multi-cloud monitoring lag?

• High telemetry data volume.
• Misconfigured cloud integrations.
• Network latency impacts transmission.
• Compliance policies restrict metrics.
• Kubernetes resource constraints.
• Ignored analytics for lag issues.
• Inconsistent team reviews for configs.

70. When should New Relic be used for multi-cloud compliance?

• Validating cross-cloud metrics.
• For Kubernetes multi-cloud monitoring.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating compliance alerts.
• Troubleshooting cloud issues.
• Validating metrics with team reviews.

71. Where does New Relic validate multi-cloud compliance?

New Relic validates multi-cloud compliance using audit logs and dashboards, integrating with Kubernetes for cluster metrics and CI/CD for pipeline data. Alerts notify teams of compliance issues.

72. Who configures New Relic for multi-cloud compliance?

Security engineers configure compliance settings, SREs optimize telemetry, DevOps engineers integrate with CI/CD, and compliance officers audit logs. They use Jira for coordination, and team leads oversee setups.

Executives monitor compliance metrics.

73. Which features support New Relic multi-cloud compliance?

• Audit logs for compliance tracking.
• Cloud integrations for metrics.
• Kubernetes for cluster compliance.
• Alerting for compliance violations.
• Analytics for compliance trends.
• APIs for automated workflows.
• Custom dashboards for compliance status.

74. How does New Relic ensure multi-cloud compliance?

New Relic ensures multi-cloud compliance with audit logs, metric validation, and alerting integrations. It supports regulated industry compliance by monitoring cloud resources.

• Configure compliance alerts.
• Test in staging environments.
• Monitor via dashboards.
• Validate with team reviews.

75. What if New Relic’s compliance monitoring fails?

• Verify audit log configurations.
• Check cloud integration settings.
• Diagnose with log analytics.
• Refine compliance settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

Log Analytics and Dashboards

76. How does New Relic support log analytics?

New Relic supports log analytics by ingesting logs from applications and infrastructure, correlating them with APM and Kubernetes metrics. It uses New Relic One for visualization and alerting for issue detection.

77. Why does New Relic log ingestion fail?

• Misconfigured log forwarders.
• Network latency disrupts ingestion.
• Incorrect log source settings.
• Compliance policies block logs.
• Kubernetes pod misconfigurations.
• Ignored analytics for log gaps.
• Inconsistent team reviews for configs.

78. When should teams enable New Relic for log analytics?

• Debugging application errors.
• For Kubernetes pod log analysis.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating log-based alerts.
• Troubleshooting log issues.
• Validating logs with team reviews.

79. Where does New Relic store log data?

New Relic stores log data in its cloud platform, integrating with Kubernetes for pod logs and CI/CD for pipeline logs. Dashboards visualize log analytics, and alerts notify teams of issues.

80. Who configures New Relic log analytics?

DevOps engineers configure log forwarders, SREs optimize log ingestion, security teams enforce compliance, and data analysts build dashboards. They use Jira for coordination, and team leads oversee setups.

Executives monitor log metrics.

81. Which New Relic features support log analytics?

• Log ingestion for applications.
• Kubernetes log correlation.
• APM integration for context.
• Alerting for log-based issues.
• Analytics for log trends.
• APIs for automated workflows.
• Custom dashboards for log insights.

82. How does New Relic create custom dashboards?

New Relic creates custom dashboards in New Relic One using NRQL queries to visualize APM, infrastructure, and log data. It supports cloud monitoring with real-time insights.

• Write NRQL queries for metrics.
• Test dashboards in staging.
• Monitor via New Relic One.
• Validate with team reviews.

83. What if New Relic’s dashboards fail to display data?

• Verify NRQL query syntax.
• Check data source configurations.
• Diagnose with log analytics.
• Refine dashboard settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

84. Why do New Relic dashboards lag?

• High query data volume.
• Misconfigured NRQL queries.
• Network latency impacts rendering.
• Compliance policies restrict data.
• Kubernetes resource constraints.
• Ignored analytics for lag issues.
• Inconsistent team reviews for configs.

85. When should New Relic be used for custom dashboards?

• Visualizing application metrics.
• For Kubernetes cluster insights.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating dashboard updates.
• Troubleshooting display issues.
• Validating dashboards with team reviews.

86. Where does New Relic visualize log analytics?

New Relic visualizes log analytics in New Relic One dashboards, integrating with Kubernetes for pod logs and CI/CD for pipeline data. Alerts notify teams of log-based issues.

87. Who configures New Relic dashboards?

Data analysts configure dashboards with NRQL queries, SREs optimize data sources, DevOps engineers integrate with CI/CD, and security teams enforce compliance. They use Jira for coordination, and team leads oversee setups.

Executives monitor dashboard metrics.

88. Which integrations support New Relic dashboards?

• APM for application metrics.
• Kubernetes for cluster metrics.
• Log analytics for debugging.
• Cloud integrations for multi-cloud data.
• Analytics for dashboard trends.
• APIs for automated workflows.
• Alerting for dashboard notifications.

89. How would you query logs in New Relic?

Query logs in New Relic using NRQL in New Relic One, filtering by application or Kubernetes pod attributes. Correlate with APM metrics for context and visualize in dashboards.

# Example NRQL log query SELECT count(*) FROM Log WHERE appName = 'java-app' AND severity = 'ERROR' FACET podName TIMESERIES

Test queries in staging and validate via dashboards.

90. What if New Relic’s log queries fail?

• Verify NRQL query syntax.
• Check log source configurations.
• Diagnose with log analytics.
• Refine query parameters.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

APIs and Automation

91. How does New Relic support API-driven monitoring?

New Relic supports API-driven monitoring with REST and GraphQL APIs, enabling automated metric collection and alert configuration. It integrates with CI/CD for pipeline automation and Kubernetes for cluster monitoring.

92. Why do New Relic API calls fail?

• Incorrect API key configurations.
• Network latency disrupts requests.
• Rate limits exceed thresholds.
• Compliance policies block API access.
• Kubernetes misconfigurations.
• Ignored analytics for API errors.
• Inconsistent team reviews for configs.

93. When should teams enable New Relic APIs?

• Automating metric collection.
• For Kubernetes monitoring scripts.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating alert configurations.
• Troubleshooting API issues.
• Validating APIs with team reviews.

94. Where does New Relic execute API-driven workflows?

New Relic executes API-driven workflows via its cloud platform, integrating with Kubernetes for cluster metrics and CI/CD for pipeline automation. Dashboards visualize API data, and alerts notify teams.

95. Who configures New Relic APIs?

DevOps engineers configure API integrations, SREs optimize automation scripts, security teams enforce compliance, and data analysts monitor API metrics. They use Jira for coordination, and team leads oversee setups.

Executives monitor automation metrics.

96. Which New Relic APIs support automation?

• REST API for metric collection.
• GraphQL API for querying data.
• Alerting API for condition management.
• Kubernetes API for cluster metrics.
• Analytics for API trends.
• Log API for debugging.
• Custom dashboards for API insights.

97. How does New Relic automate alerting via APIs?

New Relic automates alerting using REST APIs to configure conditions and integrate with PagerDuty for notifications. It supports AI-driven DevOps automation.

• Write API scripts for alerts.
• Test in staging environments.
• Monitor via dashboards.
• Validate with team reviews.

98. What if New Relic’s API automation fails?

• Verify API key permissions.
• Check script syntax and endpoints.
• Diagnose with log analytics.
• Refine API configurations.
• Test in staging environments.
• Escalate via Jira for resolution.
• Analyze trends with dashboards.

99. Why do New Relic API calls have high latency?

• Overloaded API endpoints.
• Network latency impacts requests.
• Rate limits restrict calls.
• Compliance policies delay responses.
• Kubernetes resource constraints.
• Ignored analytics for API latency.
• Inconsistent team reviews for configs.

100. When should New Relic be used for automated dashboards?

• Automating metric visualizations.
• For Kubernetes cluster insights.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating dashboard updates.
• Troubleshooting display issues.
• Validating dashboards with team reviews.

101. Where does New Relic execute automated workflows?

New Relic executes automated workflows via APIs in its cloud platform, integrating with Kubernetes for cluster automation and CI/CD for pipeline tasks. Dashboards visualize workflow status.

102. Who configures New Relic for automation?

DevOps engineers configure API automation, SREs optimize scripts, security teams enforce compliance, and data analysts monitor metrics. They use Jira for coordination, and team leads oversee setups.

Executives monitor automation metrics.

103. Which features support New Relic automation?

• REST API for metric automation.
• GraphQL API for data queries.
• Alerting API for notifications.
• Kubernetes for cluster automation.
• Analytics for workflow trends.
• Log integration for debugging.
• Custom dashboards for automation insights.