Datadog vs New Relic
Developers should learn and use Datadog when building or maintaining distributed systems, microservices architectures, or cloud-based applications that require comprehensive observability meets developers should use new relic when building or maintaining applications that require high availability, performance optimization, and proactive issue detection, such as in e-commerce, saas, or microservices architectures. Here's our take.
Datadog
Developers should learn and use Datadog when building or maintaining distributed systems, microservices architectures, or cloud-based applications that require comprehensive observability
Datadog
Nice PickDevelopers should learn and use Datadog when building or maintaining distributed systems, microservices architectures, or cloud-based applications that require comprehensive observability
Pros
- +It is essential for DevOps and SRE teams to monitor application performance, detect anomalies, and resolve incidents quickly, particularly in dynamic environments like AWS, Azure, or Kubernetes
- +Related to: apm, infrastructure-monitoring
Cons
- -Specific tradeoffs depend on your use case
New Relic
Developers should use New Relic when building or maintaining applications that require high availability, performance optimization, and proactive issue detection, such as in e-commerce, SaaS, or microservices architectures
Pros
- +It is particularly valuable for teams adopting DevOps practices, as it integrates with CI/CD pipelines and provides actionable insights to reduce mean time to resolution (MTTR) and improve user experience through features like APM, infrastructure monitoring, and AI-powered alerts
- +Related to: application-performance-monitoring, observability
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Datadog if: You want it is essential for devops and sre teams to monitor application performance, detect anomalies, and resolve incidents quickly, particularly in dynamic environments like aws, azure, or kubernetes and can live with specific tradeoffs depend on your use case.
Use New Relic if: You prioritize it is particularly valuable for teams adopting devops practices, as it integrates with ci/cd pipelines and provides actionable insights to reduce mean time to resolution (mttr) and improve user experience through features like apm, infrastructure monitoring, and ai-powered alerts over what Datadog offers.
Developers should learn and use Datadog when building or maintaining distributed systems, microservices architectures, or cloud-based applications that require comprehensive observability
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