Why Deploy Splunk at the Edge?

Traditionally, Splunk operates in the cloud—but in industrial environments, latency, connectivity issues, and the need for real-time processing call for a more resilient, localized approach.

🎙️ Join us in this session to discover how deploying Splunk at the Edge with Barbara’s Edge AI Platform enables you to:
✅ Minimize latency for instant data insights
✅ Process data in real time—without relying on the cloud
✅ Maintain operational continuity even during internet outages

In this step-by-step demo, Enrique Ramírez, Product Manager at Barbara, walks you through the seamless deployment of Splunk Server at the Edge:

🔹 Step 1: Deploy an MQTT Broker
Easily install an MQTT broker from the Barbara Marketplace to enable industrial data streaming.

🔹 Step 2: Integrate OPC UA Connectivity
Use Barbara’s OPC UA Connector to securely extract and transmit machine data.

🔹 Step 3: Deploy Splunk at the Edge
Install both Splunk Server and Splunk Ingestor directly from the Barbara Marketplace to locally manage and process data.

🔹 Step 4: Access and Analyze Your Data
Log into Splunk via VPN IP and build real-time dashboards to visualize key machine insights.

📺 Ready to see it in action?
Watch the demo and discover how Barbara brings faster, smarter, and more resilient industrial data analytics to life, at the Edge.

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