Splunk is pleased to announce the general availability of Ingest Processor, a Splunk-hosted offering within Splunk Cloud Platform designed to help customers achieve greater efficiencies in data transformation and improved visibility into data in motion.
Announcing the general availability of Federated Search for Amazon S3, a new capability that allows customers to search data from their Amazon S3 buckets directly from Splunk Cloud Platform without the need to ingest it.
A technical overview of the Splunk App for Anomaly Detection, which uses machine learning to automatically configure anomaly detection jobs on time series data.
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.
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.
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."
With the proliferation of edge computing and the release of Splunk Edge Hub, partners have additional functionality to accelerate the detection, investigation and response of threats and issues that will inevitably occur in physical and industrial environments.