Splunk takes aim at multicloud, machine learning and observability - SiliconANGLE

Splunk's Data-to-Everything Platform is an all-encompassing suite of analytics tools that help enterprises to search, correlate, analyze, monitor and report on data in real time, available through its Splunk Cloud and Splunk Enterprise products. Today's slew of updates at the virtual event are all about expanding customer's multicloud capabilities, giving them new ways to set the right data strategy and improve access to the information their businesses generate, Splunk said. For example, the Splunk Data Stream Processor, an event streaming platform, is being updated with new capabilities that enable it to access, process and route real-time data from multiple cloud services, including Google LLC's Cloud Platform and Microsoft Corp.'s Azure Event Hub. In addition, event data now gets enriched with lookups and machine learning functionality that helps to minimize compute loads and provide more accuracy when searching through this data. Moreover, the Data-to-Everything Platform is getting a new Splunk Machine Learning Environment that will make it easy for companies to build and operationalize machine learning models by bringing data from multiple sources into a single platform.