On the heels of the Splunk Business Flow and Connected Experiences announcements, we’re excited to announce Splunk Enterprise 7.3 and the Splunk Machine Learning Toolkit (MLTK) 4.3. The new and enhanced features in Splunk Enterprise 7.3 and MLTK 4.3 work seamlessly together to convert larger and more diverse data sets into widely accessible business insights.
MLTK 4.3 now broadens the reach of artificial intelligence and machine learning to even more users with Smart Assistants. Smart Assistants automatically generate SPL for common use cases like forecasting and anomaly detection. Additionally, new data imputation methods intelligently populate missing data, improving the accuracy of data models. And we’ve upgraded support for Python for Scientific Computing to the latest release, version 1.4, making it even easier for data scientists to use their preferred programming language and extensions to develop and operationalize models atop Splunk Enterprise.
Splunk Enterprise 7.3 makes metrics even more accessible. We have long recognized that metrics and events are inseparable sides of the same data coin: they come from the same devices and are needed together to solve complex use cases. Splunk Enterprise 7.3 enhances metric support to deliver the most comprehensive experience.
This is delivered with Splunk Metrics Workspace, an out-of-the-box tool that provides non-technical users seamless access to metric data. Available on Splunkbase for earlier Splunk Enterprise releases, the Metrics Workspace is a drag-and-drop, no-SPL environment for exploring, analyzing, and visualizing metric data—as well as defining dashboards and alerts through which to operationalize it. Enterprise 7.3 also adds support for roll ups that store aggregated summaries of metric data to deliver high performance and efficient scale against very large data volumes.
Finally, Enterprise 7.3 builds on two major architectural innovations introduced last fall in Enterprise 7.2, SmartStore and Workload Management. SmartStore supports standalone object storage for warm and cold data, slashing infrastructure costs and making Splunk Enterprise easier to deploy and operate at scale. Enterprise 7.3 also adds support for Splunk Enterprise Security and new customization options to fine-tune data retention, bringing SmartStore benefits to an even larger set of Splunk customers.
New Workload Management capabilities in Splunk Enterprise 7.3 include more rules and permissions for defining and managing workload pools to provide precise control over resource allocation. Workload Management helps to keep Splunk Enterprise operating predictably, even in the face of growing data volumes, peaking ingest rates, and larger and more diverse sets of end users.
These and many other new and enhanced capabilities make Splunk Enterprise 7.3 and Machine Learning Toolkit 4.3 the most comprehensive data platform tools available to date. To download the latest version of Splunk Enterprise 7.3 when it’s available, register here.