Fluentd
| Developer(s) | Treasure Data |
|---|---|
| Initial release | 10 October 2011 |
| Stable release | 1.11.5
/ November 6, 2020[1] |
| Preview release | 1.12.0.rc1
/ November 19, 2020[1] |
| Repository | |
| Written in | C, Ruby |
| Operating system | Linux (Amazon Linux, CentOS, RHEL), Mac OS X (10.9 and above), Ruby, Windows (7 and above) |
| Type | Logging tool |
| License | Apache 2.0 |
| Website | www |
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
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
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
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
- ^ a b "Releases - fluent/fluentd". Retrieved 10 November 2020 – via GitHub.
- ^ Pasupuleti, Pradeep and Purra, Beulah Salome (2015). Data Lake Development with Big Data. pp. 44–45; 48. Packt. ISBN 1785881663
- ^ Suonsyrjä, Sampo and Mikkonen, Tommi "Designing an Unobtrusive Analytics Framework for Monitoring Java Applications", pp. 170–173 in Software Measurement. Springer. ISBN 3319242857
- ^ Fluentd.org. "Download Fluentd". Retrieved 10 March 2016.
- ^ Mayer, Chris (30 October 2013). "Treasure Data: Breaking down the Hadoop barrier". JAXenter
- ^ Fluentd.org. "What is Fluentd?". Retrieved 10 March 2016.
- ^ Derrick Harris (July 23, 2013). "Treasure Data raises $5M, fuses Hadoop and data warehouse in Amazon's cloud". GigaOm.
- ^ 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.
- ^ Google Cloud Platform (2016). "Real-time logs analysis using Fluentd and BigQuery". Retrieved 10 March 2016.
- ^ Google Cloud Platform (2016). "The Logging Agent". Retrieved 10 March 2016.
Further reading
- Goasguen, Sébastien (2014). 60 Recipes for Apache CloudStack: Using the CloudStack Ecosystem, "Chapter 6: Advanced Recipes". O'Reilly Media. ISBN 1491910127