Fluentd
E699792
Fluentd is an open-source data collector that unifies the logging layer by collecting, filtering, and forwarding logs from various sources to multiple destinations in cloud-native environments.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Fluentd canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7938786 — 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: Fluentd Context triple: [Cloud Native Computing Foundation, hostsProject, Fluentd]
-
A.
Apache Flume
Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log and event data into Hadoop and other data stores.
-
B.
Flume Cascade
Flume Cascade is a scenic mountain waterfall located within Crawford Notch in New Hampshire’s White Mountains.
-
C.
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.
-
D.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is a fully managed AWS service for reliably capturing, transforming, and loading real-time streaming data into data lakes, warehouses, and analytics services.
-
E.
Splunk
Splunk is a data analytics platform that specializes in collecting, indexing, and analyzing machine-generated data for monitoring, security, and operational intelligence.
- 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: Fluentd Target entity description: Fluentd is an open-source data collector that unifies the logging layer by collecting, filtering, and forwarding logs from various sources to multiple destinations in cloud-native environments.
-
A.
Apache Flume
Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log and event data into Hadoop and other data stores.
-
B.
Flume Cascade
Flume Cascade is a scenic mountain waterfall located within Crawford Notch in New Hampshire’s White Mountains.
-
C.
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.
-
D.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is a fully managed AWS service for reliably capturing, transforming, and loading real-time streaming data into data lakes, warehouses, and analytics services.
-
E.
Splunk
Splunk is a data analytics platform that specializes in collecting, indexing, and analyzing machine-generated data for monitoring, security, and operational intelligence.
- F. None of above. chosen
Statements (76)
| Predicate | Object |
|---|---|
| instanceOf |
cloud-native logging tool
ⓘ
log collector ⓘ logging agent ⓘ open-source data collector ⓘ |
| category |
data pipeline tool
ⓘ
log management software ⓘ observability tool ⓘ |
| CNCFStatus | graduated project ⓘ |
| configurationFile | td-agent.conf ⓘ |
| configurationFormat | DSL-like configuration syntax ⓘ |
| designGoal |
decouple data sources from data outputs
ⓘ
handle high-throughput data streams ⓘ unify logging layer ⓘ |
| developer | Treasure Data NERFINISHED ⓘ |
| feature |
JSON logging
ⓘ
at-least-once delivery ⓘ configuration via text files ⓘ data buffering ⓘ data routing ⓘ log collection ⓘ log filtering ⓘ log forwarding ⓘ reliable delivery ⓘ structured logging ⓘ tag-based routing ⓘ |
| hasComponent |
fluentd core
NERFINISHED
ⓘ
td-agent NERFINISHED ⓘ |
| integratesWith |
Amazon S3
NERFINISHED
ⓘ
Elasticsearch NERFINISHED ⓘ Graylog NERFINISHED ⓘ Hadoop NERFINISHED ⓘ InfluxDB NERFINISHED ⓘ Kafka NERFINISHED ⓘ MongoDB NERFINISHED ⓘ Prometheus ecosystem ⓘ Splunk NERFINISHED ⓘ |
| license | Apache License 2.0 ⓘ |
| memberOf | Cloud Native Computing Foundation NERFINISHED ⓘ |
| programmingLanguage | Ruby NERFINISHED ⓘ |
| relatedProject | Fluent Bit NERFINISHED ⓘ |
| repository | https://github.com/fluent/fluentd ⓘ |
| supports |
Docker environments
ⓘ
HTTP input ⓘ Kubernetes environments ⓘ Linux NERFINISHED ⓘ TCP input ⓘ UDP input ⓘ Windows NERFINISHED ⓘ buffer plugins ⓘ cloud environments ⓘ cloud service logs ⓘ failover ⓘ filter plugins ⓘ formatter plugins ⓘ high availability ⓘ input plugins ⓘ load balancing ⓘ macOS NERFINISHED ⓘ message queues ⓘ multi-output routing ⓘ multi-tenant logging ⓘ multiple input sources ⓘ output plugins ⓘ parser plugins ⓘ plugins ⓘ syslog input ⓘ tailing log files ⓘ |
| useCase |
Kubernetes logging
ⓘ
centralized logging ⓘ cloud-native logging ⓘ event data collection ⓘ log aggregation ⓘ log shipping ⓘ metrics collection ⓘ observability pipelines ⓘ |
| website | https://www.fluentd.org/ ⓘ |
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: Fluentd Description of subject: Fluentd is an open-source data collector that unifies the logging layer by collecting, filtering, and forwarding logs from various sources to multiple destinations in cloud-native environments.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.