Platform

Platform

Revolutionize Data Ingestion: Introducing Terraform Support for Splunk Cloud Platform

Splunk Cloud introduces Terraform support for Index, IP list, & HEC token management for efficient data ingestion.

Platform

Developing the Splunk App for Anomaly Detection

A technical overview of the Splunk App for Anomaly Detection, which uses machine learning to automatically configure anomaly detection jobs on time series data.

Platform

Enhancements To Ingest Actions Improve Usability and Expand Searchability Wherever Your Data Lives

Along with the respective Splunk Enterprise version 9.1.0 and Splunk Cloud Version 9.0.2305 releases, Ingest Actions has launched a new set of features and capabilities that improve its usability and expand on configurability of data routed by Ingest Actions to S3.

Platform

Flatten the SPL Learning Curve: Introducing Splunk AI Assistant for SPL

At .conf23, we announced the preview release of Splunk AI Assistant - Splunk's first offering powered by generative AI.

Platform

Splunk Edge Processor Enhancements Offer Greater Data Access and Improve Data Management

On the heels of an exciting GA in March and the April announcement of its regional expansion, we are excited to share the latest updates to Splunk Edge Processor that will make it even easier for customers to have more flexibility and control over just the data you want, nothing more nothing less.

Platform

Fastest Time-to-Value Anomaly Detection in Splunk: The Splunk App for Anomaly Detection 1.1.0

Splunk App for Anomaly Detection simplifies ML, making anomaly detection easy. It streamlines tasks, enabling ML integration in everyday workflows. Just load data, select the field, and click "Detect Anomalies."

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