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.

The Splunk App for Data Science and Deep Learning (DSDL) now has two new assistant features for Natural Language Processing. DSDL has been offering basic natural language processing (NLP) capabilities using the spaCy library.

The new Maintenance Dashboard in the Cloud Monitoring Console app aims to assist Splunk Cloud Platform admins in effectively managing maintenance tasks and staying informed about Splunk-initiated maintenance for improved operational efficiency.

We’ll explore how to monitor and manage your SVCs, and share tips for enhancing SVC usage.

Learn about what SVCs are, how they fit in with workload pricing, and how to size, monitor, and manage workload to get the most out of Splunk.

Splunk Edge Processor simplifies data processing and provides customers will flexible capabilities to filter, mask, transform and route data, close to the source.

Learn all about our redesigned home page and how it lets you get insights faster than ever.

Splunk Cloud admins can simplify their monitoring process and proactively maintain their deployment performance by using the Cloud Monitoring Console's Health Dashboard, which provides a centralized view of important health indicators and actionable insights to prevent potential issues.