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Fluentd: History & Applications

Fluentd is a cross-platform open-source data collection software project originally developed at Treasure Data. It is written primarily in the C programming language with a thin-Ruby wrapper that gives users flexibility.

Language: English [EN]
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Fluentd topic overview

The analysis highlights History and Applications as prominent areas in the source structure around Fluentd.

Related topics
24
Source areas
4
Connected nodes
28
Extracted relationships
51
Concept neighborhoods
16
Bridge connections
28

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 12 topics
Fluent Bit · 5 topics
Users · 5 topics
History · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Treasure Data
License
Apache 2.0
Operating system
Linux (Amazon Linux, CentOS, RHEL), macOS (10.9 and above), Windows (7 and above)
Release
10 October 2011; 14 years ago (2011-10-10)
Repository
github.com/fluent/fluentd
Stable release
1.19.2 / February 19, 2026; 6 months ago (2026-02-19)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Users

Fluent Bit

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Fluentd connects Entity context

The extracted context around Fluentd shows recurring relationship patterns in the source. For example, Fluentd → Action, Advanced Recipes, Apache CloudStack, Chapter, CloudStack Ecosystem, Goasguen, ISBN, Kubernetes, Logging, Manning, O'Reilly Media, Phil, Recipes, Sébastien, Using, With Fluentd Another extracted example is Fluentd → Arm Ltd, Mountain View-based, October, Ruby, Sadayuki Furuhashi, The, Treasure Data, Written. Use these groups to spot repeated connection types before inspecting the individual relationships.

Fluentd

Top relations

related to Further reading · 16
Fluentd → Action, Advanced Recipes, Apache CloudStack, Chapter, CloudStack Ecosystem, Goasguen, ISBN, Kubernetes, Logging, Manning, O'Reilly Media, Phil, Recipes, Sébastien, Using, With Fluentd
related to history · 8
Fluentd → Arm Ltd, Mountain View-based, October, Ruby, Sadayuki Furuhashi, The, Treasure Data, Written
related to overview · 6
Fluentd → According, It, Linux, Mikkonen, Suonsyrjä, Windows
related to Fluent Bit · 5
Fluentd → CNCF, Fluent, Fluent Bit, Linux, Ruby
related to Users · 5
Fluentd → Amazon Web Services, Apache Flume, Google Cloud Platform's BigQuery, Google's, Scribe
related to External links · 2
Fluentd → GitHub, Official
Developer · 1
Fluentd → Treasure Data
License · 1
Fluentd → Apache 2.0
Operating system · 1
Fluentd → Linux (Amazon Linux, CentOS, RHEL), macOS (10.9 and above), Windows (7 and above)
Release · 1
Fluentd → 10 October 2011; 14 years ago (2011-10-10)

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data written treasure fluent ruby linux project bit users logging apache open-source macos windows software collection developed primarily github isbn

Fluentd relationships Subject–Predicate–Object triples

TTTA extracted 51 structured relationships around Fluentd. Examples in this analysis include Fluentd → Developer → Treasure Data and Fluentd → License → Apache 2.0. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
FluentdDeveloperTreasure Data1.00infobox
FluentdLicenseApache 2.01.00infobox
FluentdOperating systemLinux (Amazon Linux, CentOS, RHEL), macOS (10.9 and above), Windows (7 and above)1.00infobox
FluentdRelease10 October 2011; 14 years ago (2011-10-10)1.00infobox
FluentdRepositorygithub.com/fluent/fluentd1.00infobox
FluentdStable release1.19.2 / February 19, 2026; 6 months ago (2026-02-19)1.00infobox
FluentdTypeLogging tool1.00infobox
FluentdWebsitewww.fluentd.org1.00infobox
FluentdWritten inC, Ruby1.00infobox
Fluentdrelated to External linksOfficial0.60section
Fluentdrelated to External linksGitHub0.60section
Fluentdrelated to Fluent BitFluent Bit0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Fluentd bring nearby vocabulary together. In this analysis, examples include Data, Logging and Treasure. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Fluentd
    • Data
    • Logging
    • Treasure
    • Amazon
    • Collection
    • Github
    • Macos
    • Tool
    • Website
    • Windows
    • Apache
    • Linux
  • fluentd
    • Data
    • Logging
    • Treasure
    • Amazon
    • Collection
    • Github
    • Macos
    • Tool
    • Website
    • Windows
    • Apache
    • Linux
  • data collection
    • Treasure
    • Cross-platform
    • Free
    • Originally
    • Portal
    • Amazon
    • Collection
    • Data
    • Fluentd
    • Apache
    • Developed
    • One
  • treasure data
    • Treasure
    • Amazon
    • Collection
    • Fluentd
    • Apache
    • Project
    • Free
    • Github
    • Macos
    • Originally
    • Portal
    • Tool
  • big data
    • Treasure
    • Amazon
    • Collection
    • Fluentd
    • Apache
    • Project
    • Free
    • Originally
    • Portal
    • Developed
    • Github
    • Macos
  • fluent bit
    • Bit
    • Fluent
    • Linux
    • Written
    • Amazon
    • Consumes
    • Developed
    • Github
    • Log
    • Macos
    • Memory
    • One
  • amazon web services
    • Apache
    • Data
    • Collection
    • Github
    • Macos
    • One
    • Tool
    • Users
    • Website
    • Windows
    • Bit
    • Fluent
  • apache flume
    • Data
    • Collection
    • Github
    • Macos
    • One
    • Tool
    • Users
    • Website
    • Windows
    • Bit
    • Fluent
    • Fluentd

Connections between topic areas Semantic bridges

For Fluentd, one of the stronger structural bridges in this analysis connects Fluentd with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
FluentdOverview · splits 16 ⟂ 13
FluentdUsers · splits 23 ⟂ 6
FluentdFluent Bit · splits 23 ⟂ 6
FluentdHistory · splits 26 ⟂ 3

Map overview Semantic statistics

Fluentd

Nodes29
Edges28
Triples51
Avg. degree1.93
Density0.068966
Components1

Source & methodology

TTTA analyzes the structure around Fluentd to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Fluentd · EN edition · Analysis: TopicsToTalkAbout

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