Distributed Tracing vs Metrics
Developers should learn and use distributed tracing when building or maintaining microservices-based applications, cloud-native systems, or any distributed architecture where requests span multiple services meets developers should learn and use metrics to ensure system reliability, optimize performance, and meet service-level objectives (slos) in production environments. Here's our take.
Distributed Tracing
Developers should learn and use distributed tracing when building or maintaining microservices-based applications, cloud-native systems, or any distributed architecture where requests span multiple services
Distributed Tracing
Nice PickDevelopers should learn and use distributed tracing when building or maintaining microservices-based applications, cloud-native systems, or any distributed architecture where requests span multiple services
Pros
- +It is crucial for performance monitoring, troubleshooting latency issues, and ensuring reliability in production environments, as it provides end-to-end visibility into request flows and dependencies
- +Related to: microservices, observability
Cons
- -Specific tradeoffs depend on your use case
Metrics
Developers should learn and use metrics to ensure system reliability, optimize performance, and meet service-level objectives (SLOs) in production environments
Pros
- +They are essential for implementing observability, debugging issues, and conducting capacity planning, particularly in DevOps, SRE (Site Reliability Engineering), and microservices architectures
- +Related to: observability, monitoring
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Distributed Tracing if: You want it is crucial for performance monitoring, troubleshooting latency issues, and ensuring reliability in production environments, as it provides end-to-end visibility into request flows and dependencies and can live with specific tradeoffs depend on your use case.
Use Metrics if: You prioritize they are essential for implementing observability, debugging issues, and conducting capacity planning, particularly in devops, sre (site reliability engineering), and microservices architectures over what Distributed Tracing offers.
Developers should learn and use distributed tracing when building or maintaining microservices-based applications, cloud-native systems, or any distributed architecture where requests span multiple services
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