Root cause analysis can be a difficult challenge when you are troubleshooting complex IT systems. In this blog, we are going to take you through how you can perform root cause analysis on your IT Service Intelligence (ITSI) episodes using machine learning, or more specifically causal inference.

In this blog we are going to describe how you can create a notable event policy in IT Service Intelligence (ITSI) that is able to group your events using labels generated by unsupervised machine learning in the Smart ITSI Insights App for Splunk – and don’t worry you don’t have to be a data scientist to read this blog!

As we are trying to commoditize machine learning through our MLTK smart workflows, this article outlines another example of an MLTK smart workflow, designed to help improve the usability of the predictive capabilities in ITSI.

In this blog post, we’ll explore an ML-powered solution using the Splunk Machine Learning Environment to detect fraudulent credit card transactions in real time. Using out-of-the-box Splunk capabilities, we’ll walk you through how to ingest and transform log data, train a predictive model using open source algorithms, and predict fraud in real-time against transaction events.

Check out how the Splunk AR web app allows administrators to manage their entire AR experience at scale and all in one unified place.

An introduction to SMLE Labs and a showcase of the various ML capabilities at a high level by walking you through the environment, step-by-step.

Splunk DLTK supports Docker as well as Kubernetes and OpenShift as container environments. In this article, we will go through the setup for using DLTK 3.3 and Amazon EKS as a kubernetes environment.

Curious about some more advanced use cases with Choropleth SVG in Splunk? Take a look at this blog to find out about animations, custom gauges, and why emojis matter!

The Admin Config Service is a set of modern REST APIs that will empower Splunk Cloud admins with a simple, yet powerful set of self-service capabilities.