Dynamic

Datadog Dashboards vs New Relic Dashboards

Developers should learn Datadog Dashboards when working in environments that require comprehensive observability, such as cloud-native applications, microservices architectures, or large-scale distributed systems, to monitor performance, troubleshoot issues, and optimize resources meets developers should use new relic dashboards when they need to monitor and visualize the health and performance of applications, services, or infrastructure in a centralized, real-time manner, especially in cloud-native or microservices environments. Here's our take.

🧊Nice Pick

Datadog Dashboards

Developers should learn Datadog Dashboards when working in environments that require comprehensive observability, such as cloud-native applications, microservices architectures, or large-scale distributed systems, to monitor performance, troubleshoot issues, and optimize resources

Datadog Dashboards

Nice Pick

Developers should learn Datadog Dashboards when working in environments that require comprehensive observability, such as cloud-native applications, microservices architectures, or large-scale distributed systems, to monitor performance, troubleshoot issues, and optimize resources

Pros

  • +They are particularly useful for SREs, DevOps engineers, and backend developers who need to visualize metrics like CPU usage, latency, error rates, or business KPIs in real-time, enabling proactive incident response and data-driven improvements
  • +Related to: datadog, observability

Cons

  • -Specific tradeoffs depend on your use case

New Relic Dashboards

Developers should use New Relic Dashboards when they need to monitor and visualize the health and performance of applications, services, or infrastructure in a centralized, real-time manner, especially in cloud-native or microservices environments

Pros

  • +It is valuable for DevOps and SRE teams to set up alerts, conduct root cause analysis, and share insights with stakeholders, as it integrates seamlessly with other New Relic tools for a comprehensive observability solution
  • +Related to: new-relic-apm, observability

Cons

  • -Specific tradeoffs depend on your use case

The Verdict

Use Datadog Dashboards if: You want they are particularly useful for sres, devops engineers, and backend developers who need to visualize metrics like cpu usage, latency, error rates, or business kpis in real-time, enabling proactive incident response and data-driven improvements and can live with specific tradeoffs depend on your use case.

Use New Relic Dashboards if: You prioritize it is valuable for devops and sre teams to set up alerts, conduct root cause analysis, and share insights with stakeholders, as it integrates seamlessly with other new relic tools for a comprehensive observability solution over what Datadog Dashboards offers.

🧊
The Bottom Line
Datadog Dashboards wins

Developers should learn Datadog Dashboards when working in environments that require comprehensive observability, such as cloud-native applications, microservices architectures, or large-scale distributed systems, to monitor performance, troubleshoot issues, and optimize resources

Disagree with our pick? nice@nicepick.dev