The Splunk SDK for C# was written for modern .NET technologies. It is written to be asynchronous and portable to different platforms. The SDK includes the Splunk .NET library, C# code samples, and unit tests. This allows developers to build .NET applications that can communicate with Splunk Enterprise instances, retrieve and manipulate Splunk data, and extend existing Splunk API capabilities.
The ability to analyze information and use the results to make more informed decisions is something that interests a lot of people. Developers, publishers, and small to large business owners all collect an overwhelming amount of data pertaining to the work that they do. Employing a staff of analysts to sift through the onslaught of what can sometimes seem to be useless information is obviously one way to solve this problem, ‘Machine Learning’ is another.
One of the most fascinating, yet frustrating, aspects of anything to do with APIs is how rapidly the technology that serves as the foundation for the programmable web evolves. That dynamic volatility was in full view last week at the API Strategy and Practice conference in New York in the form of Daniel Jacobson, director of API engineering at Netflix.
Google Analytics’ default sample threshold is set at 250,000 rows of data, after which a sample subset is used to represent the results of the whole. However, sampling saves processing time at the expense of accuracy, so this tutorial shows followers how to overcome GA’s sampling limitations.