Draft a System Architecture Diagram for real-time IoT ingestion architecture using Apache Kafka streams connected to on-prem SCADA via OPC-UA gateways, with data lakehouse on Databricks serving predictive maintenance dashboards

Generate draft a system architecture diagram for real-time iot ingestion architecture using apache kafka streams connected to on-prem scada via opc-ua gateways, with data lakehouse on databricks serving predictive maintenance dashboards for Computer Systems Design and Related Services industry

Computer Systems Design and Related Services

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Upload existing SCADA topology diagrams, network diagrams, or system inventories that define the current operational technology environment
List all OPC-UA endpoints, PLC models, RTU configurations, and sensor types currently deployed across facilities that will feed into Kafka streams
Select the primary compliance framework that governs your industry operations and data handling requirements
Define the criticality level and latency requirements for different types of operational data streaming through the architecture
Identify the primary business consumers of the predictive maintenance insights who will validate and act on recommendations
Document any network bandwidth limitations, firewall restrictions, cloud connectivity issues, or on-prem infrastructure restrictions that affect Kafka cluster deployment
Categorize the sensitivity levels of operational data to determine appropriate security controls and retention policies
Define specific Kafka cluster sizing requirements including partition counts, replication factors, retention policies, and throughput targets
Specify which equipment types and failure modes the machine learning models should prioritize for predictive maintenance insights
Establish the deployment approach and timeline expectations considering production uptime requirements and change management processes
Define specific KPIs and measurable outcomes that will validate the architecture effectiveness against business objectives