Splunk Asset and Risk Intelligence – a CAASM Solution for Splunk
In this post, we dive a little deeper into what CAASM is, why it is critical tool for your organization and how Splunk ARI can help.
Author Archive for: Discovered Intelligence
Entries by Discovered Intelligence
Learning Splunk with the new ‘Getting Started with Splunk’ Video Series
Looking to enhance your understanding of Splunk in a fun and concise way?
Introducing the benefits and features of Cribl Lake
April marked the beginning of a new era for Cribl with the introduction of Cribl Lake, which brings Cribl’s suite of products full circle in the realm of data management. In this post we dive a bit deeper into some of the benefits and features of Cribl Lake.
Building a Unified View: Integrating Google Cloud Platform Events with Splunk
By: Carlos Moreno Buitrago and Anoop Ramachandran In this blog we will talk about the processes and the options we have to collect the GCP events and we will see how to collect those in Splunk. In addition, we will even add integration with Cribl, as an optional step, in order to facilitate and optimize […]
Reducing Outlier Noise in Splunk
This blog is a continuation of the blog “Using Density Function for Advanced Outlier Detection“. Given the unique but complementary topics of the previous blog and present one, we decided to separate them. This blog describes a single approach to dealing with excess noise in outliers detection use-cases. While multiple methods of reducing noise exist, […]
Using DensityFunction for Outlier Detection in Splunk
Introduction to Outlier Detection In our previous blog we covered some common methods of finding an outliers. Starting with fixed thresholds to moving thresholds using averages and standard deviation. This forms the basis of data points that deviate from their norm. Using standard methods of outlier detection does have it pro’s and con’s. On one […]
Interesting Splunk MLTK Features for Machine Learning (ML) Development
The Splunk Machine Learning Toolkit is packed with machine learning algorithms, new visualizations, web assistant and much more. This blog sheds light on some features and commands in Splunk Machine Learning Toolkit (MLTK) or Core Splunk Enterprise that are lesser known and will assist you in various steps of your model creation or development. With […]
Quick Guide to Outlier Detection in Splunk
There are multiple (almost discretely infinite) methods of outlier detection. In this blog I will highlight a few common and simple methods that do not require Splunk MLTK (Machine Learning Toolkit) and discuss visuals (that require the MLTK) that will complement presentation of outliers in any scenario. This blog will cover the widely accepted method […]
What’s New In Config Quest 3.0
We are pleased to announce the release of Config Quest 3.0, which further enhances this popular and innovative application. The new release introduces a new ‘File Config Quest‘ dashboard, allowing users to navigate through the file systems all Splunk hosts remotely and to compare file listings against one another. This post will run through some […]
Forecasting Time Series Data Using Splunk Machine Learning Toolkit – Part II
Part II of the Forecasting Time Series blog provides a step by step guide for fitting an ARIMA model using Splunk’s Machine Learning Toolkit. ARIMA models can be used in a variety of business use cases. Here are a few examples of where we can use them: Detecting anomalies and their impact on the data […]
