Cloud Trace
E697145
Cloud Trace is a Google Cloud service that collects and analyzes latency data from applications to help developers monitor, debug, and optimize performance.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Cloud Trace canonical | 2 |
| Google Cloud Trace | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7932129 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud Trace Context triple: [Cloud Run, integratesWith, Cloud Trace]
-
A.
AWS X-Ray
AWS X-Ray is an AWS service that helps developers analyze and debug distributed applications by tracing requests as they travel through various microservices and resources.
-
B.
Cloud Logging
Cloud Logging is Google Cloud’s fully managed service for collecting, storing, and analyzing logs from applications and infrastructure running in the cloud and on-premises.
-
C.
dotTrace
dotTrace is a performance and memory profiling tool for .NET applications created by JetBrains to help developers analyze and optimize their code.
-
D.
Alibaba Cloud Log Service
Alibaba Cloud Log Service is a fully managed, scalable logging and observability platform for collecting, storing, analyzing, and visualizing log data within the Alibaba Cloud ecosystem.
-
E.
Cloud Run
Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cloud Trace Target entity description: Cloud Trace is a Google Cloud service that collects and analyzes latency data from applications to help developers monitor, debug, and optimize performance.
-
A.
AWS X-Ray
AWS X-Ray is an AWS service that helps developers analyze and debug distributed applications by tracing requests as they travel through various microservices and resources.
-
B.
Cloud Logging
Cloud Logging is Google Cloud’s fully managed service for collecting, storing, and analyzing logs from applications and infrastructure running in the cloud and on-premises.
-
C.
dotTrace
dotTrace is a performance and memory profiling tool for .NET applications created by JetBrains to help developers analyze and optimize their code.
-
D.
Alibaba Cloud Log Service
Alibaba Cloud Log Service is a fully managed, scalable logging and observability platform for collecting, storing, analyzing, and visualizing log data within the Alibaba Cloud ecosystem.
-
E.
Cloud Run
Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
Google Cloud service
ⓘ
cloud monitoring service ⓘ distributed tracing service ⓘ |
| accessibleVia |
Google Cloud Console
NERFINISHED
ⓘ
REST API ⓘ client libraries ⓘ |
| analyzes | latency data ⓘ |
| category | application performance management tool ⓘ |
| collects |
latency data
ⓘ
trace data ⓘ |
| developer | Google ⓘ |
| formerlyKnownAs | Stackdriver Trace NERFINISHED ⓘ |
| hasFeature |
alerting via Cloud Monitoring
ⓘ
cross-service trace propagation ⓘ end-to-end request tracing ⓘ export of trace data ⓘ filtering and querying of traces ⓘ integration with OpenTelemetry ⓘ |
| integratesWith |
App Engine
NERFINISHED
ⓘ
Cloud Monitoring NERFINISHED ⓘ Cloud Run NERFINISHED ⓘ Compute Engine NERFINISHED ⓘ Google Cloud Logging NERFINISHED ⓘ Google Kubernetes Engine NERFINISHED ⓘ |
| offers |
APIs for trace ingestion
ⓘ
automatic trace collection for some Google Cloud services ⓘ custom annotations ⓘ latency heatmaps ⓘ sampling configuration ⓘ service dependency graphs ⓘ span-level details ⓘ trace visualization in console ⓘ |
| partOf | Google Cloud operations suite NERFINISHED ⓘ |
| provider | Google Cloud Platform NERFINISHED ⓘ |
| supports |
distributed tracing
ⓘ
microservices architectures ⓘ |
| supportsLanguage |
.NET
NERFINISHED
ⓘ
Go ⓘ Java ⓘ Node.js NERFINISHED ⓘ PHP NERFINISHED ⓘ Python ⓘ Ruby NERFINISHED ⓘ |
| targetUser |
application developers
ⓘ
site reliability engineers ⓘ |
| usedFor |
application debugging
ⓘ
bottleneck identification ⓘ latency analysis ⓘ performance monitoring ⓘ performance optimization ⓘ root cause analysis ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Cloud Trace Description of subject: Cloud Trace is a Google Cloud service that collects and analyzes latency data from applications to help developers monitor, debug, and optimize performance.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Google Cloud Trace