Organizations of all sizes are building / migrating / refactoring their software to be cloud-native. Applications are broken down into microservices and deployed as containers. Consequently there has been a seismic shift in the complexity of application components thanks to the intricate network of microservices calling each other. The traditional sense of “monitoring” them no […]
Workload management is a powerful Splunk Enterprise feature for users to delegate CPU and memory resources to various Splunk workloads, based on their preferences. As Splunk continues to develop new attributes for the defining of rules, the number of Splunk users who are enabling workload management in their environment is gradually increasing.
At Discovered Intelligence the holiday season is an opportunity to celebrate our employees’ contributions to a successful year, by connecting with everyone over a big holiday dinner and surprising them with a fun holiday gift. These gifts vary from year to year, but for the past few years we have put together a gift bag […]
Deploying apps to forwarders using the Deployment Server is a pretty commonplace use case and is well documented in Splunk Docs. However, it is possible to take this a step further and use it for distribution of apps to the staging directories of management components like cluster manager or a search head cluster deployer, from […]
Planning a sequel to the blog – Moving bits around: Deploying Splunk Apps with Github Actions – led me to an interesting experiment. What if we could manage and automate the deployment server the same way, without having to log on to the server at all. After all, the deployment server is just a bunch […]
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, […]
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 […]
It would be reasonable to argue that no matter the size of the deployment, there aren’t many Splunk deployments out there that have not leveraged the Deployment Server to manage and distribute Splunk apps to other components. Just put everything in the $SPLUNK_HOME/etc/apps/deployment-apps directory of the Deployment Server and create server classes connecting the relevant […]
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 […]
Recently a customer was reviewing information in Splunk and some interesting data showed up. Users had mobile devices that had emoji’s in their name of their device. It was a bit surprising at first as it’s not what you would normally expect in a corporate IT environment, but after thinking about it, it’s perfectly normal […]
