Why Deploy Splunk at the Edge?

‍Traditionally, Splunk is cloud-based, but in industrial environments, latency, connectivity issues, and real-time processing demand a more resilient, localized approach. By deploying Splunk at the edge with Barbara, you can:

✅ Reduce latency for instant data insights.
✅ Ensure real-time data processing without cloud dependency.
✅ Enhance resilience by maintaining functionality even during internet disruptions.

In this step-by-step demo, Enrique Ramírez, Product Manager at Barbara, walks you through the seamless deployment of Splunk Server at the Edge using Barbara's Edge AI platform.

🔹 Step 1: Deploy an MQTT Broker – Easily install an MQTT broker via 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 from the Barbara Marketplace to efficiently manage and process data locally.
🔹 Step 4: Access and Analyze Your Data :Log into Splunk using the VPN IP and build real-time dashboards and analytics to visualize machine insights.

Ready to experience Splunk at the Edge? Watch the demo and see how Barbara makes industrial data analytics faster, smarter, and more resilient.

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