Observability Fundamentals

1. How does New Relic enable observability for applications?

New Relic enables observability by collecting telemetry data (metrics, logs, and traces) from applications via APM agents. It integrates with Kubernetes for cluster insights and CI/CD for pipeline monitoring, visualizing data in New Relic One dashboards for real-time analysis.

2. Why might New Relic fail to collect observability data?

• Incorrect agent configurations.
• Network issues disrupting data flow.
• Invalid license key settings.
• Compliance policies blocking telemetry.
• Misconfigured Kubernetes integrations.
• Lack of analytics for data gaps.
• Inconsistent team reviews for setups.

3. When should teams adopt New Relic for observability?

• Monitoring microservices in production.
• Tracking Kubernetes cluster health.
• During compliance validation phases.
• Integrating with CI/CD pipelines.
• Setting up automated alerts.
• Troubleshooting performance issues.
• Validating metrics with reviews.

4. Where does New Relic aggregate observability data?

New Relic aggregates observability data in its cloud platform, pulling metrics from APM agents, logs from applications, and traces from microservices. It integrates with Kubernetes for cluster data and dashboards for visualization.

5. Who manages New Relic observability configurations?

SREs configure agents and integrations, DevOps engineers monitor pipelines, security teams enforce compliance, and data analysts create dashboards. They coordinate via Jira, with team leads overseeing setups and executives reviewing metrics.

6. Which New Relic tools 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 automation.

7. How does New Relic support distributed tracing?

New Relic supports distributed tracing by instrumenting microservices with APM agents, capturing request flows across services. It integrates with Kubernetes for pod-level tracing and uses dashboards to visualize trace data, ensuring multi-cloud observability.

8. What if New Relic’s observability data is incomplete?

• Check agent instrumentation settings.
• Verify network connectivity.
• Review Kubernetes integration configs.
• Ensure compliance policies allow data.
• Analyze logs for data gaps.
• Escalate issues via Jira.
• Validate setups with team reviews.

9. Why does New Relic’s telemetry data lack accuracy?

• Incomplete agent deployments.
• Misconfigured Kubernetes integrations.
• Network latency delaying data.
• Compliance restrictions on telemetry.
• Missing CI/CD pipeline hooks.
• Ignored analytics for accuracy issues.
• Inconsistent team reviews for configs.

10. When should New Relic be used for telemetry collection?

• Monitoring application performance.
• Tracking Kubernetes pod metrics.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating telemetry alerts.
• Troubleshooting data issues.
• Validating metrics with 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 logs for debugging. Dashboards provide visualization, and alerts flag issues.

12. Who sets up New Relic telemetry integrations?

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

13. Which integrations support New Relic telemetry?

• Kubernetes for cluster metrics.
• AWS for cloud infrastructure data.
• Azure for multi-cloud telemetry.
• Prometheus for open-source metrics.
• CI/CD for pipeline insights.
• Log analytics for context.
• APIs for automation.

14. How does New Relic integrate with Kubernetes?

New Relic integrates with Kubernetes using infrastructure agents and Pixie to collect pod and cluster metrics. It supports Kubernetes provisioning and visualizes data in New Relic One dashboards.

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

• Verify agent and Pixie configurations.
• Check Kubernetes API permissions.
• Analyze logs for integration issues.
• Refine telemetry settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

Application Performance Monitoring (APM)

16. How does New Relic implement APM for applications?

New Relic implements APM by deploying agents to monitor application performance, capturing metrics like response time and error rates. It integrates with CI/CD for deployment tracking and dashboards for real-time insights.

17. Why does New Relic APM miss performance metrics?

• Incorrect agent configurations.
• Runtime incompatibilities in applications.
• Network issues blocking data.
• Compliance policies restricting metrics.
• Kubernetes pod misconfigurations.
• Lack of analytics for metric gaps.
• Inconsistent team reviews for setups.

18. When should teams enable New Relic APM?

• Monitoring application response times.
• Tracking microservices performance.
• During compliance validation phases.
• Integrating with CI/CD pipelines.
• Automating performance alerts.
• Troubleshooting application issues.
• Validating metrics with 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 ensure compliance, and data analysts create dashboards. They coordinate via Jira, with team leads overseeing setups.

21. Which New Relic APM features improve monitoring?

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

22. How does New Relic handle transaction tracing?

New Relic handles transaction tracing by instrumenting applications to track request flows across microservices. It integrates with Kubernetes for pod-level tracing and visualizes data in New Relic One for performance analysis.

23. What if New Relic APM data is missing?

• Verify agent instrumentation.
• Check application runtime settings.
• Analyze logs for data gaps.
• Refine APM configurations.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

24. Why does New Relic APM impact application performance?

• Overinstrumented agent settings.
• High telemetry data volume.
• Network latency slowing transmission.
• Compliance restrictions on metrics.
• Kubernetes resource constraints.
• Lack of analytics for performance issues.
• Inconsistent team reviews for configs.

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

• Debugging application failures.
• Correlating microservices errors.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating error alerts.
• Troubleshooting error issues.
• Validating errors with 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 set up error tracking, SREs define alert rules, security teams ensure compliance, and data analysts monitor error trends. They coordinate via Jira, with team leads overseeing setups.

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 automation.
• 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 monitor deployment performance, ensuring CI/CD efficiency. It tracks metrics and visualizes them in dashboards.

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

• Verify webhook configurations.
• Check pipeline settings.
• Analyze logs for integration issues.
• Refine integration settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

Kubernetes and Infrastructure Monitoring

31. How does New Relic monitor Kubernetes clusters?

New Relic monitors Kubernetes clusters using infrastructure agents and Pixie to collect pod, node, and cluster metrics. It integrates with New Relic One for visualization and alerting for issue detection.

32. Why does New Relic fail to monitor Kubernetes?

• Misconfigured infrastructure agents.
• Kubernetes API access issues.
• Network latency disrupting telemetry.
• Compliance policies blocking metrics.
• Pod resource constraints.
• Lack of analytics for monitoring gaps.
• Inconsistent team reviews for configs.

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

• Tracking cluster performance metrics.
• Monitoring microservices pods.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating cluster alerts.
• Troubleshooting cluster issues.
• Validating metrics with 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 set up Kubernetes integrations, DevOps engineers deploy agents, security teams ensure compliance, and data analysts create dashboards. They coordinate via Jira, with team leads overseeing setups.

36. Which New Relic features support Kubernetes monitoring?

• Pixie for real-time telemetry.
• Infrastructure agents for cluster metrics.
• Service maps for pod dependencies.
• Log analytics for debugging.
• Analytics for cluster trends.
• APIs for automation.
• 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 for root cause analysis. It integrates with alerting tools to notify teams, supporting incident response.

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

• Verify agent and Pixie configurations.
• Check Kubernetes API permissions.
• Analyze logs for integration issues.
• Refine monitoring settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

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

• High telemetry data volume.
• Misconfigured Pixie settings.
• Network latency impacting transmission.
• Compliance restrictions on metrics.
• Kubernetes resource constraints.
• Lack of analytics for lag issues.
• Inconsistent team reviews for configs.

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

• Tracking host and cluster metrics.
• Monitoring multi-cloud infrastructure.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating infrastructure alerts.
• Troubleshooting resource issues.
• Validating metrics with 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 set up infrastructure agents, DevOps engineers monitor hosts, security teams ensure compliance, and data analysts create dashboards. They coordinate via Jira, with team leads overseeing setups.

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 automation.
• Custom dashboards for insights.

44. How does New Relic integrate with AWS?

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

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

• Verify CloudWatch permissions.
• Check infrastructure agent settings.
• Analyze logs for integration issues.
• Refine integration configurations.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

Alerting and Incident Management

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

New Relic configures alerts using conditions based on APM and infrastructure metrics, integrating with PagerDuty for notifications. It ensures rapid response to performance issues with dashboard visualization.

47. Why do New Relic alerts fail to trigger?

• Misconfigured alert conditions.
• Incorrect threshold settings.
• Network issues blocking notifications.
• Compliance policies restricting alerts.
• PagerDuty integration errors.
• Lack of analytics for alert gaps.
• Inconsistent team reviews for configs.

48. When should teams enable New Relic for alerting?

• Monitoring application performance issues.
• Detecting Kubernetes pod failures.
• During compliance audit phases.
• Integrating with PagerDuty for incidents.
• Automating alert workflows.
• Troubleshooting alert failures.
• Validating alerts with 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 define alert conditions, DevOps engineers integrate with PagerDuty, security teams ensure compliance, and data analysts monitor alert trends. They coordinate via Jira, with team leads overseeing setups.

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 automation.
• 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 with real-time notifications.

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

• Verify webhook configurations.
• Check PagerDuty API permissions.
• Analyze logs for integration issues.
• Refine integration settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

54. Why do New Relic alerts generate false positives?

• Overly sensitive thresholds.
• Incomplete metric configurations.
• Network latency mimicking issues.
• Compliance policies misaligning alerts.
• PagerDuty webhook errors.
• Lack of analytics for alert accuracy.
• Inconsistent team reviews for configs.

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

• Resolving application outages.
• Handling Kubernetes pod failures.
• During compliance audit phases.
• Integrating with PagerDuty for escalation.
• Automating incident workflows.
• Troubleshooting incident issues.
• Validating responses with 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 set up incident alerts, DevOps engineers integrate with PagerDuty, security teams ensure compliance, and data analysts monitor incident trends. They coordinate via Jira, with team leads overseeing setups.

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 automation.
• Custom dashboards for incident status.

59. How does New Relic handle incident alerting?

New Relic handles incident alerting by setting conditions for application and infrastructure metrics, integrating with PagerDuty for escalation. It uses logs for context and dashboards for visualization, ensuring rapid response.

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

• Verify alert policy settings.
• Check PagerDuty webhook configurations.
• Analyze logs for integration issues.
• Refine alert conditions.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics 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 disrupting telemetry.
• Compliance policies blocking metrics.
• Kubernetes misconfigurations.
• Lack of analytics for monitoring gaps.
• Inconsistent team reviews for configs.

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

• Tracking cross-cloud performance.
• Monitoring Kubernetes multi-cloud clusters.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating cloud alerts.
• Troubleshooting cloud issues.
• Validating metrics with 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 set up multi-cloud integrations, SREs optimize telemetry, security teams ensure compliance, and data analysts create dashboards. They coordinate via Jira, with team leads overseeing setups.

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 automation.
• 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 with dashboards for insights.

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

• Verify cloud API permissions.
• Check integration configurations.
• Analyze logs for integration issues.
• Refine integration settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

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

• High telemetry data volume.
• Misconfigured cloud integrations.
• Network latency impacting transmission.
• Compliance restrictions on metrics.
• Kubernetes resource constraints.
• Lack of analytics for lag issues.
• Inconsistent team reviews for configs.

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

• Validating cross-cloud metrics.
• Monitoring Kubernetes multi-cloud clusters.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating compliance alerts.
• Troubleshooting cloud issues.
• Validating metrics with 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 set up compliance settings, SREs optimize telemetry, DevOps engineers integrate with CI/CD, and compliance officers audit logs. They coordinate via Jira, with team leads overseeing setups.

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 automation.
• 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 and flagging violations.

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

• Verify audit log configurations.
• Check cloud integration settings.
• Analyze logs for compliance issues.
• Refine compliance settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

Log Analytics and Dashboards

76. How does New Relic handle log analytics?

New Relic handles 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 disrupting ingestion.
• Incorrect log source settings.
• Compliance policies blocking logs.
• Kubernetes pod misconfigurations.
• Lack of analytics for log gaps.
• Inconsistent team reviews for configs.

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

• Debugging application errors.
• Analyzing Kubernetes pod logs.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating log-based alerts.
• Troubleshooting log issues.
• Validating logs with 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 set up log forwarders, SREs optimize ingestion, security teams ensure compliance, and data analysts create dashboards. They coordinate via Jira, with team leads overseeing setups.

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 automation.
• 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.

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

• Verify query syntax accuracy.
• Check data source configurations.
• Analyze logs for display issues.
• Refine dashboard settings.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

84. Why do New Relic dashboards experience lag?

• High query data volume.
• Misconfigured query settings.
• Network latency impacting rendering.
• Compliance restrictions on data.
• Kubernetes resource constraints.
• Lack of analytics for lag issues.
• Inconsistent team reviews for configs.

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

• Visualizing application metrics.
• Monitoring Kubernetes cluster insights.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating dashboard updates.
• Troubleshooting display issues.
• Validating dashboards with 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 create dashboards with NRQL queries, SREs optimize data sources, DevOps engineers integrate with CI/CD, and security teams ensure compliance. They coordinate via Jira, with team leads overseeing setups.

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 automation.
• Alerting for dashboard notifications.

89. How does New Relic query logs for analytics?

New Relic queries logs using NRQL in New Relic One, filtering by application or Kubernetes pod attributes. It correlates logs with APM metrics for context and visualizes results in dashboards.

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

• Verify query syntax accuracy.
• Check log source configurations.
• Analyze logs for query issues.
• Refine query parameters.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

APIs and Automation

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

New Relic enables API-driven monitoring with REST and GraphQL APIs, automating 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 disrupting requests.
• Rate limits exceeding thresholds.
• Compliance policies blocking API access.
• Kubernetes misconfigurations.
• Lack of analytics for API errors.
• Inconsistent team reviews for configs.

93. When should teams enable New Relic APIs?

• Automating metric collection.
• Scripting Kubernetes monitoring.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating alert configurations.
• Troubleshooting API issues.
• Validating APIs with 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 set up API integrations, SREs optimize automation scripts, security teams ensure compliance, and data analysts monitor API metrics. They coordinate via Jira, with team leads overseeing setups.

96. Which New Relic APIs support automation?

• REST API for metric collection.
• GraphQL API for data queries.
• 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 with real-time alerts.

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

• Verify API key permissions.
• Check script syntax and endpoints.
• Analyze logs for automation issues.
• Refine API configurations.
• Test in staging environments.
• Escalate via Jira for resolution.
• Review metrics with dashboards.

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

• Overloaded API endpoints.
• Network latency impacting requests.
• Rate limits restricting calls.
• Compliance policies delaying responses.
• Kubernetes resource constraints.
• Lack of analytics for API latency.
• Inconsistent team reviews for configs.

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

• Automating metric visualizations.
• Monitoring Kubernetes cluster insights.
• During compliance audit phases.
• Integrating with CI/CD pipelines.
• Automating dashboard updates.
• Troubleshooting display issues.
• Validating dashboards with 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, and alerts notify teams.