X-Ray vs Datadog APM

Developers should use X-Ray when building or maintaining cloud-native applications on AWS, especially those with complex architectures like microservices, serverless functions (e meets developers should use datadog apm when building or maintaining complex, distributed systems, especially microservices architectures, to monitor application health and troubleshoot performance issues efficiently. Here's our take.

X-Ray

Nice Pick

Developers should use X-Ray when building or maintaining cloud-native applications on AWS, especially those with complex architectures like microservices, serverless functions (e

Pros

• g
• Related to: aws-lambda, microservices

Cons

• Specific tradeoffs depend on your use case

Datadog APM

Developers should use Datadog APM when building or maintaining complex, distributed systems, especially microservices architectures, to monitor application health and troubleshoot performance issues efficiently

Pros

• It is valuable for teams needing to reduce mean time to resolution (MTTR) by pinpointing slow database queries, external API calls, or service dependencies in production environments
• Related to: datadog, distributed-tracing

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use X-Ray if: You want g and can live with specific tradeoffs depend on your use case.

Use Datadog APM if: You prioritize it is valuable for teams needing to reduce mean time to resolution (mttr) by pinpointing slow database queries, external api calls, or service dependencies in production environments over what X-Ray offers.

The Bottom Line

X-Ray wins

Developers should use X-Ray when building or maintaining cloud-native applications on AWS, especially those with complex architectures like microservices, serverless functions (e