Modernizing Industrial Data Stacks: Energy Optimization with recultiv8 and InfluxDB

Session Date: Jan 20, 2026
Time: 8:00am (PT) | 4:00pm (GMT)

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

Can’t make the event live? Register anyway to receive the recording!