Jaeger vs New Relic

Developers should learn Jaeger when building or maintaining distributed systems, especially microservices, to diagnose performance issues, identify bottlenecks, and debug complex request flows 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.

Jaeger

Nice Pick

Developers should learn Jaeger when building or maintaining distributed systems, especially microservices, to diagnose performance issues, identify bottlenecks, and debug complex request flows

Pros

• It is essential for observability in modern applications, enabling teams to trace requests across multiple services, which is critical for maintaining reliability and performance in production environments
• Related to: distributed-tracing, opentelemetry

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

These tools serve different purposes. Jaeger is a tool while New Relic is a platform. We picked Jaeger based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Jaeger wins

Based on overall popularity. Jaeger is more widely used, but New Relic excels in its own space.