Splunk Platform introduces new data management capabilities that enable faster and more cost-effective root cause analysis and incident resolution of customer-facing issues.
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.
Splunk Edge Processor simplifies data processing and provides customers will flexible capabilities to filter, mask, transform and route data, close to the source.
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.
Announcing the General Availability of the SPL2 Profile for Edge Processor, containing the specific subset of powerful SPL2 commands and functions that can be used to control and transform data behavior within Edge Processor.