Automated Edge/IoT Insights, Message Delivery, and More


With Robotic Data Automation Fabric (RDAF) Edge/IoT Solution Pack, you can gain automated edge workload observability, edge AI model training/inferences, edge data optimization for delivery to DC/Cloud/SaaS, IoT message delivery, and more.


Use Cases


Real-time Edge IT Asset inventory and mappings

Deploy a remote or edge data collection module to discover and map IT assets using an agentless discovery approach, multi-protocol discovery, and vendor integrations.

Benefit: Upto 100% IT asset visibility

Real-time IoT Asset inventory and performance insights

Discover IoT devices and collect telemetry data, compile performance insights using integrations with MQTT, Nats.io, Kafka, and more.

Benefit: Upto 100% IoT asset visibility and performance insights

Build observability custom dashboard/report at Edge

Customize and schedule generation of observability reports including Availability & Uptime, Performance Report, Alerts, and Incidents Report, Assets Inventory Report, Asset Configuration Report Server Events Report, Network Events Report, Security Events Report and more.

Benefit: Met Upto 100% reportability needs

Optimize or Aggregate Edge Data before Sending to Cloud or Datacenter

Edge data can be very noisy and redundant. Customize data that gets sent over the network with aggregate analytics and AI/ML inferences, using data bots and edge data pipelines

Benefit: Upto 60% network bandwidth cost savings

Streaming Message Delivery for IoT Environments: Kafka, NATS.io, MQTT

Enable streaming and real-time delivery of messages over distributed connectivity systems like Apache Kafka, NATS.io, and MQTT to achieve seamless integration of IoT data with other IT systems and cloud services.

Benefit: Upto 60% faster IoT deployments

Who is it For

IoT Architects
Edge Operations
IoT Vendors


IT Efficiency
Integrated Edge/IoT Environments
Cost Optimization
Edge Observability

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