Fluentd

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 a-structured data sets. Like Apache Kafka , it analyzes event logs , application logs, and clickstreams . [1] According to Suonsyrjä and Mikkonen, the “core idea of ​​Fluentd is to be the unifying layer between different types of log inputs and outputs.” [2] According to its official website, Fluentd is available on Linux and OSX and experimentally on Windows. [3]

History

Fluentd was created by Sadayuki Furuhashi as a project of Mountain View -based firm Treasure Data. Written primarily in Ruby , its source code was released as open-source software in October 2011. [4] [5] The company announced $ 5 million of funding in 2013. [6]

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 gold Scribe . [7] Google Cloud Platform ‘s BigQuery recommends Fluentd as default real-time data-ingestion tool, and uses Google’s customized version de Fluentd, called Expired google-fluentd, as a default logging agent. [8] [9]

References

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