In case you missed it, the version of Python that Splunk currently bundles and ships in Enterprise (Python 2.7) will be end-of-life January 1, 2020. How will this impact your Splunk deployment? Here's our detailed guide!
The What
Since a lot of Splunk customization can be achieved through Python, Splunk Enterprise now supports Python 3 and any Apps or Add-ons with Python 2.7 code will need to be updated to Python 3 compatibility.
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There's a lot of data out there and once we put it into Splunk, there's a lot of interesting information we can pull out of it, so why not have a trip down memory lane and see what sort of songs pop up when going through the Billboard Hot 100 charts from now back to 2000?
First, I found a scraper for the data - thank you Allen Guo for your Billboard charts scraper - and output the data in this format:
date | title | artist | weeks | delta | current | peak | previous | spotifyID
I did so with this python...
Splunk SDK for Python: Getting Data In
Data is a pivotal part of a Splunk Enterprise deployment. Every configuration and enhancement we make is centered on a particular dataset. As a result, Splunk provides different options for getting data into Splunk Enterprise in order to turn that data into decision-making information. The most common ways of getting data into Splunk are via UF forwarders, syslog, scripted inputs, and modular inputs. For this post, I’m going to focus on getting data from a remote interface into Splunk via HTTP utilizing Splunk SDK for Python...
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