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splunk

Kafka Messaging Modular Input

Overview
Details
This is a Splunk Modular Input Add-On for indexing messages from an Apache Kafka broker or cluster of brokers.

The Python code in this App is dual 2.7/3 compatible.
This version of the App enforces Python 3 for execution of the modular input script when running on Splunk 8+ in order to satisfy Splunkbase AppInspect requirements.
If running this App on Splunk versions prior to 8 , then Python 2.7 will get executed.

For details of the support we offer for our Apps , browse to : https://www.baboonbones.com/#support

This App is fully AppInspect passed for installing in your own hosted Splunk Enterprise environments or on your own hosted Splunk Forwarders and forwarding the collected data into Splunk Cloud or installing directly in Splunk Cloud.

Release Notes

Version 1.8.8
Jan. 3, 2024

updated the Java SDK

Version 1.8.7
Jan. 1, 2024

updated the Java SDK

Version 1.8.6
Oct. 12, 2022

updated the Java SDK

Version 1.8.5
June 18, 2022
  • in order to support huge modular input configuration xml strings when users want to run a very large number of inputs on 1 single instance of this app , we had to change the way that the child java process is invoked. Previously the xml string was passed as a program argument which could break the max argument size in the Linux kernel. Now we changed the logic to pass the xml string to the java process via the STDIN pipe.

  • The app performs periodic socket pings to the splunkd management port to determine if splunkd is still alive and if splunkd is not responding , usually because it has exited or is not network reachable, then the app self exits it's running java process.The default timeout is now 300 seconds. You can change this timeout value in bin/kafka.py by setting the SPLUNKD_TIMEOUT_SECS variable.

  • upgraded internal logging libraries to Log4j2 v2.17.2

Version 1.8.4
Dec. 23, 2021

fixed a bug in getting credentials from storage/passwords

Version 1.8.3
Dec. 23, 2021

upgraded internal logging libraries to Log4j2 v2.17.0

Version 1.8.2
Dec. 15, 2021

upgraded internal logging libraries to Log4j2 v2.16.0

Version 1.8.1
Dec. 11, 2021

upgraded internal logging libraries to Log4j2 v2.15.0

Version 1.8.0
Sept. 8, 2021
  • general updates to meet latest Cloud Vetting requirements
  • moved kafka_password out of inputs.conf , browse to the Setup Credentials menu tab and enter any kafka usernames/passwords you require.
  • activation key is now setup globally via a menu tab
  • removed the HEC output option, default is now stdout
Version 1.7
Feb. 18, 2021

Upgraded core Kafka libraries. ZooKeeper is no longer required to establish connections.You can now connect directly to a Kafka bootstrap server.

Version 1.6.3
Oct. 6, 2020

upgraded logging functionality

Version 1.6.2
Sept. 29, 2020

docs update

Version 1.6.1
Aug. 30, 2020

added a setup page to encrypt any credentials you require in your configuration

Version 1.6
Aug. 23, 2020

enforced python3 for execution of the modular input script.If you require Python2.7 , then download a prior version (such as 1.5).

Version 1.5
May 16, 2020

Dual Python 2.7 and 3+ compatibility.

App will run on :

Splunk Enterprise versions back to Splunk 5 where there is only a Python 2.7 runtime shipped
Splunk Enterprise version 8 where there is both a Python 2.7 and Python 3+ runtime shipped
Future versions of Splunk Enterprise where there is only a Python 3+ runtime

Version 1.4
Dec. 30, 2019

added JAXB dependencies for JRE 9+
fixed Splunk 8 compatibility for manager.xml file

Version 1.3.4
June 25, 2019

cosmetic fixes

Version 1.3.3
May 10, 2019

cosmetic fixes

Version 1.3.2
April 23, 2019

updated docs

Version 1.3.1
April 19, 2019

added trial key functionality

Version 1.3
March 28, 2019

docs updated

Version 1.2
June 3, 2018

minor manager xml ui tweak for 7.1

Version 1.1
May 27, 2018

Added an activation key requirement , visit http://www.baboonbones.com/#activation to obtain a free,non-expiring key
Docs updated
Splunk 7.1 compatible

Version 1.0
April 21, 2016

Added a new custom handler : com.splunk.modinput.kafka.CSVWithHeaderDecoderHandler
This allows you to roll out CSV files (with or without header) into KV or JSON before indexing.

Example config you could pass to the custom message handler when you declare it

headers=header1:header2:header3,outputFormat=json,hasHeaderRow=false

Version 0.9.2
Nov. 3, 2015

Better JSON handling for HEC output (hat tip to Tivo)

Version 0.9.1
Oct. 22, 2015

Better logging around HEC success/failure
Can now add custom timestamp into HEC payload
New custom handler (JSONBodyWithTimeExtraction) for pulling out timestamp from JSON messages from Kafka and adding this into HEC payload

Version 0.9
Sept. 22, 2015

Added support to optional output to Splunk via a HEC (HTTP Event Collector) endpoint

Version 0.8.1
June 20, 2015

Added support for raw connection string format so that multiple zookeeper hosts
can be provided in a comma delimited manner
ie: hostname1:port1,hostname2:port2,hostname3:port3/chroot/path

Version 0.8
June 17, 2015

Added chroot support for zookeeper connection strings

Version 0.7
Feb. 11, 2015

Enabled TLS1.2 support by default.
Made the core Modular Input Framework compatible with latest Splunk Java SDK
Please use a Java Runtime version 7+
If you need to use SSLv3 , you can turn this on in bin/kafka.py
SECURE_TRANSPORT = "tls"

SECURE_TRANSPORT = "ssl"

Version 0.6
Feb. 5, 2015

You can now pass a charset name to the DefaultHandler

Version 0.5
June 30, 2014

Initial beta release


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