Amazon CloudWatch
E97126
Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
All labels observed (13)
| Label | Occurrences |
|---|---|
| Amazon CloudWatch canonical | 21 |
| AWS CloudWatch | 9 |
| Amazon CloudWatch Logs | 7 |
| Amazon CloudWatch Events | 3 |
| CloudWatch Logs | 2 |
| CloudWatch metrics | 2 |
| Amazon CloudWatch Metrics | 1 |
| CloudWatch | 1 |
| CloudWatch Alarms | 1 |
| CloudWatch Dashboards | 1 |
| CloudWatch Events | 1 |
| CloudWatch Logs Insights | 1 |
| CloudWatch Metrics | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T817093 — 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: Amazon CloudWatch Context triple: [Amazon Redshift, integratesWith, Amazon CloudWatch]
-
A.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
-
B.
Amazon Web Services
Amazon Web Services is a leading global cloud computing platform offering on-demand infrastructure, storage, and application services to businesses, developers, and institutions.
-
C.
Azure
Azure is Microsoft's cloud computing platform offering a wide range of services for building, deploying, and managing applications and infrastructure through Microsoft-managed data centers.
-
D.
AWST
AWST is the time zone used in Western Australia, corresponding to UTC+8 hours.
-
E.
Oracle Cloud Infrastructure
Oracle Cloud Infrastructure is Oracle Corporation’s suite of cloud computing services that provides scalable compute, storage, networking, and platform capabilities for enterprise workloads.
- 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: Amazon CloudWatch Target entity description: Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
-
A.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
-
B.
Amazon Web Services
Amazon Web Services is a leading global cloud computing platform offering on-demand infrastructure, storage, and application services to businesses, developers, and institutions.
-
C.
Azure
Azure is Microsoft's cloud computing platform offering a wide range of services for building, deploying, and managing applications and infrastructure through Microsoft-managed data centers.
-
D.
AWST
AWST is the time zone used in Western Australia, corresponding to UTC+8 hours.
-
E.
Oracle Cloud Infrastructure
Oracle Cloud Infrastructure is Oracle Corporation’s suite of cloud computing services that provides scalable compute, storage, networking, and platform capabilities for enterprise workloads.
- F. None of above. chosen
Statements (73)
| Predicate | Object |
|---|---|
| instanceOf |
cloud monitoring service
ⓘ
observability service ⓘ |
| accessibleVia |
AWS CLI
ⓘ
AWS Management Console ⓘ AWS SDKs ⓘ |
| dataRetention | varies by metric and log configuration ⓘ |
| developer | Amazon Web Services ⓘ |
| hasComponent |
Amazon EventBridge
ⓘ
CloudWatch Alarms ⓘ
linked to:
Amazon CloudWatch
CloudWatch Dashboards ⓘ
linked to:
Amazon CloudWatch
CloudWatch Events ⓘ
linked to:
Amazon EventBridge
CloudWatch Logs ⓘ
linked to:
Amazon CloudWatch
CloudWatch Logs Insights ⓘ
linked to:
Amazon CloudWatch
CloudWatch Metrics ⓘ
linked to:
Amazon CloudWatch
|
| integratesWith |
AWS Auto Scaling
ⓘ
AWS CloudFormation ⓘ AWS CloudTrail ⓘ AWS Lambda ⓘ AWS Systems Manager ⓘ AWS X-Ray ⓘ Amazon EC2 ⓘ
linked to:
Amazon EBS
Amazon ECS ⓘ Amazon EKS ⓘ
linked to:
Amazon Elastic Kubernetes Service
|
| offers |
alarms
ⓘ
anomaly detection ⓘ application monitoring ⓘ composite alarms ⓘ cross-account observability ⓘ dashboards ⓘ events collection ⓘ high-resolution metrics ⓘ logs collection ⓘ logs insights ⓘ metric math ⓘ metrics collection ⓘ |
| owner | Amazon Web Services ⓘ |
| partOf |
AWS Management and Governance services
ⓘ
Amazon Web Services ⓘ |
| pricingModel | pay-as-you-go ⓘ |
| regionScope | AWS Region-based service ⓘ |
| securityFeature |
IAM-based access control
ⓘ
encryption at rest ⓘ encryption in transit ⓘ |
| supports |
AWS CloudTrail integration
ⓘ
AWS Lambda logs ⓘ AWS X-Ray integration ⓘ AWS resources monitoring ⓘ Amazon API Gateway monitoring ⓘ Amazon DynamoDB monitoring ⓘ Amazon EC2 monitoring ⓘ Amazon ECS monitoring ⓘ Amazon EKS monitoring ⓘ Amazon Lambda monitoring ⓘ Amazon RDS monitoring ⓘ Amazon S3 monitoring ⓘ Amazon SNS monitoring ⓘ Amazon SQS monitoring ⓘ Elastic Load Balancing monitoring ⓘ Route 53 Resolver Query Logs ⓘ VPC Flow Logs ⓘ container monitoring ⓘ custom metrics ⓘ hybrid cloud monitoring ⓘ on-premises resources monitoring ⓘ serverless monitoring ⓘ |
| useCase |
alerting on thresholds
ⓘ
application performance monitoring ⓘ capacity planning ⓘ cost optimization ⓘ event-driven automation ⓘ infrastructure monitoring ⓘ log analytics ⓘ operational health monitoring ⓘ |
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: Amazon CloudWatch Description of subject: Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
Referenced by (51)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
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linked to: Amazon CloudWatch
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linked to: Amazon CloudWatch
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linked to: Amazon CloudWatch
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linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch
linked to: Amazon CloudWatch