Manufacturing - Industry 4.0 Multi-Cloud Strategy

Overview

A global manufacturing enterprise with 200+ plants needed to modernize their Industry 4.0 initiative by implementing a cloud-agnostic architecture supporting IIoT sensor data, predictive maintenance, real-time OEE tracking, and supply chain optimization while eliminating vendor lock-in.

Key Challenges

• Heavy dependency on single cloud provider limiting Industry 4.0 transformation flexibility

• High cloud costs for IIoT data processing and storage with limited cost optimization

• Inability to leverage best-in-class cloud services for manufacturing workloads (e.g., AWS IoT, Azure IoT, Google Cloud AI)

• Limited flexibility in vendor negotiations and pricing for manufacturing-specific cloud services

• Risk of service disruptions impacting production lines and OEE metrics

• Complex data sovereignty requirements across different manufacturing regions

• Need for edge computing at plant level with cloud synchronization

Our Approach

• 1

  Deployed multi-cloud architects with manufacturing Industry 4.0 and IIoT expertise

• 2

  Designed cloud-agnostic infrastructure using Terraform, Kubernetes, and containerized microservices

• 3

  Architected hybrid edge-cloud architecture with real-time data processing at factory edge

• 4

  Implemented unified IIoT platform collecting sensor data from production equipment across all plants

• 5

  Built predictive maintenance models running on optimal cloud provider for each use case

• 6

  Established OEE (Overall Equipment Effectiveness) tracking and analytics across multi-cloud

• 7

  Created supply chain visibility platform with real-time inventory and logistics optimization

• 8

  Implemented FinOps framework for continuous cloud cost optimization across providers

• 9

  Architected disaster recovery and business continuity with multi-region, multi-cloud resilience

Key Outcomes

• Successfully distributed manufacturing workloads optimally across AWS, Azure, and GCP

• Achieved 40% cost reduction through FinOps optimization and competitive provider pricing

• Established 99.95% uptime SLA with seamless failover across cloud providers

• Implemented real-time OEE monitoring and predictive maintenance across 200+ global facilities

• Improved vendor negotiation leverage, securing 25% better pricing across all providers

• Enhanced supply chain visibility with real-time inventory tracking and demand forecasting

• Reduced unplanned downtime by 35% through predictive maintenance and anomaly detection

• Enabled rapid scaling of Industry 4.0 initiatives without vendor constraints