AWS X-Ray
AWS X-Ray is a service that helps developers analyze and debug distributed applications by providing end-to-end tracing of requests as they travel through the application, identifying performance bottlenecks and errors. It is now part of Amazon CloudWatch Application Signals for unified observability.
API Rating
APIs
AWS X-Ray
AWS X-Ray is a service that helps developers analyze and debug distributed applications by providing end-to-end tracing of requests as they travel through the application, ident...
Capabilities
AWS X-Ray API — Encryption
AWS X-Ray API — Encryption. 2 operations. Lead operation: AWS X-Ray Get Encryption Configuration. Self-contained Naftiko capability covering one Aws X Ray business surface.
Run with NaftikoAWS X-Ray API
AWS X-Ray API. 3 operations. Lead operation: AWS X-Ray Tag a Resource. Self-contained Naftiko capability covering one Aws X Ray business surface.
Run with NaftikoAWS X-Ray API — Groups
AWS X-Ray API — Groups. 5 operations. Lead operation: AWS X-Ray Delete a Group. Self-contained Naftiko capability covering one Aws X Ray business surface.
Run with NaftikoAWS X-Ray API — Insights
AWS X-Ray API — Insights. 2 operations. Lead operation: AWS X-Ray Get Insight Details. Self-contained Naftiko capability covering one Aws X Ray business surface.
Run with NaftikoAWS X-Ray API — Sampling
AWS X-Ray API — Sampling. 5 operations. Lead operation: AWS X-Ray Create a Sampling Rule. Self-contained Naftiko capability covering one Aws X Ray business surface.
Run with NaftikoAWS X-Ray API — Service Graph
AWS X-Ray API — Service Graph. 2 operations. Lead operation: AWS X-Ray Get the Service Graph. Self-contained Naftiko capability covering one Aws X Ray business surface.
Run with NaftikoAWS X-Ray API — Traces
AWS X-Ray API — Traces. 3 operations. Lead operation: AWS X-Ray Get a List of Traces by ID. Self-contained Naftiko capability covering one Aws X Ray business surface.
Run with NaftikoFeatures
Trace requests from client to backend across all services in your distributed application.
Visualize service dependencies and real-time health indicators in an interactive map.
Filter, search, and analyze traces using filter expressions and groups.
Control trace collection rates with dynamic sampling rules to manage cost and volume.
Add indexed annotations and non-indexed metadata to traces for custom filtering and context.
Identify and analyze errors, faults, and throttling across distributed services.
Identify performance bottlenecks with detailed latency histograms and percentile data.
Integrated with CloudWatch Application Signals for unified observability and alerting.
Instrument applications with X-Ray SDKs for Java, Python, Go, Node.js, Ruby, and .NET.
Use Cases
Identify and resolve latency bottlenecks in distributed microservices applications.
Trace errors and exceptions to their root cause across service boundaries.
Understand service dependencies and the impact of downstream failures.
Monitor request latency and error rates against service level agreements.
Gain observability into complex microservices architectures and their interactions.