Splunk Expands Its Data Management Capabilities to Physical, OT Environments With the Launch of Splunk Edge Hub

Splunk is pleased to announce its latest innovation in data access and processing — Splunk Edge Hub, in partnership with Edge Hub Central.  

Designed for OT (operational technology) and physical edge environments, Splunk Edge Hub supports the vertical integration of a subset of data that has been historically hard to access — data generated from sensors, IoT devices and industrial equipment — to enable improved decision-making in operational conditions and asset monitoring on the journey to greater digital resilience. 

A multi-component solution, Splunk Edge Hub solution includes:

• An IoT gateway device equipped with sensors, such as light, temperature and sound sensors, protocols like OPC-UA and MQTT, built-in, housed in a ruggedized formfactor carrying an Ingress Protection (IP) rating of IP66, also preloaded with its own integrated operating system, Edge Hub OS
• An instance of Splunk platform, either Splunk Enterprise or Splunk Cloud Platform, for analytics and visualizations; and 
• Companion apps that make it easy to configure the device(s) out-of-the-box via Splunkbase and the Edge Hub mobile app on your preferred mobile device 

With the Splunk Edge Hub solution, you can detect, investigate and respond to changes in your operational environment, faster than ever. 

Foundational Visibility With Aggregated Data Flows

Data fragmentation is inherent in physical environments — where there are several equipment vendors — making it difficult to track business processes end-to-end, and all the more cumbersome to find root causes or blind spots. Splunk Edge Hub serves to bridge this gap by aggregating data flows from existing, often disparate technologies and integrating with existing industrial sensors. The Edge Hub device can be placed in physical environments like network closets or data centers, or placed atop existing OT infrastructure to collect and collate its data, further enhancing visibility from end to end.

Unlock Innovation Through Conditions Monitoring, Predictive Analytics and More

As visibility is foundational to enterprise resilience, the ability to access, collect and process data, regardless of where it sits, is integral to that journey. Proactively monitoring conditions in your data center, network closet, and even the environments of the supporting critical infrastructure will help you to identify and remediate problematic conditions that impact operational KPIs and ultimately the bottom-line. From monitoring temperature changes or fluctuations in Infrastructure Load, to monitoring water leaks from HVAC systems as a risk to infrastructure, Splunk Edge Hub can help you save time and resources, the first time.

What’s more, when Splunk Edge Hub is deployed to the factory floor it can give early indications of outages and downtime in manufacturing processes, and can even help predict infrastructure-related maintenance schedules. The Edge Hub OS provides capabilities to run AI and machine learning models on the edge to determine if a current metric is an anomaly, based on historical trained data, seasonally adjusted trained data, or other statistical process control models.  

Whether your focus area is in IT or OT, or your industry is manufacturing or the supply chain, the Splunk Edge Hub solution brings together disparate data sources to provide better visibility into your operations so that you can remain steadfast on your journey to digital resilience. 

Ready To Get Started?

Splunk Edge Hub is currently offered as a Limited Availability Release (LAR) in North America, and is sold exclusively through a select network of Splunk partners with deep expertise in working with sensor and IoT data and delivering edge technology solutions across a multitude of industries and use cases.  

To learn more about these partners and the many solutions they can customize for your business needs using Splunk Edge Hub, please visit edgehubcentral.com.

Follow all the conversations coming out of #splunkconf23!

Follow @splunk