Fluentd

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Fluentd
Developer(s)Treasure Data
Initial release10 October 2011;
9 years ago
 (2011-10-10)
Stable release
1.12.1 / February 18, 2021; 3 months ago (2021-02-18)[1]
Repository Edit this at Wikidata
Written inC, Ruby
Operating systemLinux (Amazon Linux, CentOS, RHEL), Mac OS X (10.9 and above), Ruby, Windows (7 and above)
TypeLogging tool
LicenseApache 2.0
Websitewww.fluentd.org Edit this at Wikidata

Fluentd is a cross platform open-source data collection software project originally developed at Treasure Data. It is written primarily in the Ruby programming language.

Overview[edit]

Fluentd is a Big Data tool for semi- or un-structured data sets. It analyzes event logs, application logs, and clickstreams.[2] According to Suonsyrjä and Mikkonen, the "core idea of Fluentd is to be the unifying layer between different types of log inputs and outputs.",[3] Fluentd is available on Linux, Mac OSX, and Windows.[4]

History[edit]

Fluentd was created by Sadayuki Furuhashi as a project of the Mountain View-based firm Treasure Data. Written primarily in Ruby, its source code was released as open-source software in October 2011.[5][6] The company announced $5 million of funding in 2013.[7]

Users[edit]

Fluentd was one of the data collection tools recommended by Amazon Web Services in 2013, when it was said to be similar to Apache Flume or Scribe.[8] Google Cloud Platform's BigQuery recommends Fluentd as default real-time data-ingestion tool, and uses Google's customized version of Fluentd, called google-fluentd, as a default logging agent.[9][10]

References[edit]

  1. ^ "Releases - fluent/fluentd". Retrieved 24 February 2021 – via GitHub.
  2. ^ Pasupuleti, Pradeep and Purra, Beulah Salome (2015). Data Lake Development with Big Data. pp. 44–45; 48. Packt. ISBN 1785881663
  3. ^ Suonsyrjä, Sampo and Mikkonen, Tommi "Designing an Unobtrusive Analytics Framework for Monitoring Java Applications", pp. 170–173 in Software Measurement. Springer. ISBN 3319242857
  4. ^ Fluentd.org. "Download Fluentd". Retrieved 10 March 2016.
  5. ^ Mayer, Chris (30 October 2013). "Treasure Data: Breaking down the Hadoop barrier". JAXenter
  6. ^ Fluentd.org. "What is Fluentd?". Retrieved 10 March 2016.
  7. ^ Derrick Harris (July 23, 2013). "Treasure Data raises $5M, fuses Hadoop and data warehouse in Amazon's cloud". GigaOm.
  8. ^ Parviz Deyhim (August 2013). "Best Practices for Amazon EMR" (PDF). Amazon Web Services. p. 12. Archived from the original (PDF) on 2016-03-26. Retrieved March 24, 2017.
  9. ^ Google Cloud Platform (2016). "Real-time logs analysis using Fluentd and BigQuery". Retrieved 10 March 2016.
  10. ^ Google Cloud Platform (2016). "The Logging Agent". Retrieved 10 March 2016.

Further reading[edit]

External links[edit]