Modernizing Industrial Data Stacks: Energy Optimization with recultiv8 and InfluxDB
Session Date: Jan 20, 2026
Time: 8:00am (PT) | 4:00pm (GMT) | 4:00pm (BST)
Industrial environments depend on high-volume machine and sensor streams that require reliable ingestion, processing, and visualization. In this webinar, consultant Coenraad Pretorius of recultiv8 will detail how he builds modernized data architectures using InfluxDB 3 Core together with Azure services, Python processing workflows, Grafana dashboards, and SQL-driven analytical layers. He will break down how these components replace older proprietary systems while improving throughput, latency, and maintainability.
Using a compelling energy optimization case study, Coenraad will demonstrate how combining InfluxDB 3 Core on the edge with Azure cloud services delivers measurable business value. You’ll see how real-time tariff analysis and consumption monitoring reduced energy costs, moving insights from month-end surprises to actionable half-hour intervals.
Key takeaways:
- How modern edge + cloud architecture replaces traditional historians while reducing licensing costs and complexity
- Implementing real-time analytics on the edge using scheduled Python plugins for business logic (aggregations, cost calculations, period classifications)
- Architecture patterns for separating operational edge workloads from intensive cloud analytics while maintaining data resilience and offline capability
- Real-world energy optimization case study: Time-of-Use tariff analysis delivering quantifiable cost savings and validated consumption strategies
- Business value delivered: Faster time to insights (hours vs weeks), maintainable with common skills (Python, SQL), scalable from home systems to industrial facilities
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Coenraad Pretorius
Industrial Systems Integrator at recultiv8
