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Manufacturing > Cloud Infrastructure

Cloud infrastructure for
manufacturing.

Edge-to-cloud IIoT platforms, MES/ERP migration with zero production downtime, multi-plant visibility dashboards, and disaster recovery that actually works. Built for OT security and plant floor reliability.

Use Cases

Where manufacturing cloud infrastructure delivers results.

Four infrastructure patterns that give manufacturers visibility, reliability, and scalability without compromising OT security.

IIoT Edge-to-Cloud Data Platform

Before

Sensor data lives in siloed SCADA historians at each plant. Maintenance teams check local HMIs. Engineering pulls data manually for root cause analysis. No enterprise-wide view of equipment health, quality, or energy consumption.

After

An edge-to-cloud platform streams sensor telemetry from every connected asset into a unified data lake. Real-time dashboards show equipment health, production KPIs, and energy metrics across all facilities. Data scientists access clean, normalized datasets for predictive model development.

Single pane of glass across all plants

MES/ERP Cloud Migration

Before

On-premise MES and ERP servers are aging. Patch cycles disrupt production weekends. Scaling requires capital expenditure proposals that take months. Disaster recovery is a backup tape in a closet — untested.

After

MES and ERP workloads run on cloud infrastructure with auto-scaling, automated patching during maintenance windows, and multi-region disaster recovery. Production data is backed up continuously. System performance scales with demand without capital expenditure.

99.95% uptime SLA

Multi-Plant Visibility Dashboard

Before

Each plant reports OEE, quality, and production data in different formats on different schedules. The VP of Operations spends the first two hours of every Monday assembling a cross-plant view from emailed spreadsheets.

After

A real-time enterprise dashboard normalizes data from heterogeneous plant systems (different SCADA, MES, ERP vendors) into a unified ISA-95-aligned data model. OEE, downtime Pareto, quality metrics, and energy KPIs are visible across all plants in a single view.

Real-time cross-plant KPIs

OT Disaster Recovery

Before

If a SCADA server fails, the plant runs blind until IT restores from backup — often 8-24 hours. MES downtime means manual production tracking. There is no tested DR plan for operational technology systems.

After

OT disaster recovery architecture with automated failover for critical SCADA historians and MES servers. Recovery time drops from hours to minutes. DR runbooks are tested quarterly. Edge gateways cache data locally during cloud outages so no production telemetry is lost.

RTO under 15 minutes

Who This Is For

Built for manufacturing leaders who need infrastructure that scales.

VP of Manufacturing / Operations

You need cross-plant visibility without waiting for Monday morning spreadsheets. A unified cloud platform gives you real-time OEE, quality, and downtime data across every facility — from your laptop or phone.

Plant Manager

Your on-premise servers are aging and IT support is thin on the ground. Cloud migration means reliable infrastructure, automated backups, and a DR plan that actually works — without distracting your team from production.

CTO / VP of Engineering

You are building the IIoT foundation for Industry 4.0. You need a scalable, secure data platform that can ingest millions of sensor data points per day and feed AI/ML models without compromising OT security.

Supply Chain Director

You need demand signals, inventory levels, and supplier data unified in one platform. A cloud data lake that integrates ERP, WMS, and supplier portals gives you the visibility to make proactive decisions instead of reactive ones.

Our Process

From OT assessment to cloud-powered production.

01

OT Network Assessment

We audit your current OT infrastructure — PLCs, SCADA, historians, MES, ERP — mapping data flows, protocols, security zones, and identifying gaps in connectivity, redundancy, and disaster recovery.

02

Hybrid Cloud Architecture

We design the edge-to-cloud architecture — what stays on-premise (real-time control), what moves to edge compute (near-real-time inference), and what runs in the cloud (analytics, storage, dashboards). Security architecture follows IEC 62443.

03

Phased Migration — Zero Downtime

We migrate workloads in phases aligned with your production schedule. No big-bang cutovers. Each phase runs in parallel with existing systems until validated. Production never stops for IT migration.

04

Monitoring & Optimization

Post-migration, we monitor infrastructure performance, optimize costs (right-sizing, reserved instances, spot for batch workloads), and continuously improve the data pipeline as you connect more assets and plants.

Common Questions

Questions about manufacturing cloud infrastructure.

How do you secure OT data when moving it to the cloud?

OT data never travels directly from the plant floor to the public cloud. We deploy edge gateways in the plant DMZ that aggregate, filter, and encrypt sensor data before it leaves the facility. The architecture follows IEC 62443 zones and conduits — OT and IT networks remain segmented, with one-way data diodes or brokers ensuring no cloud-originating traffic can reach control systems. All data in transit uses TLS 1.3, and data at rest is encrypted with customer-managed keys. We also implement IP allowlisting, VPN tunnels for management access, and real-time anomaly detection on the data pipeline.

When should we process data at the edge versus in the cloud?

Edge processing is essential for anything that requires sub-second response — real-time quality inspection, safety interlocks, and closed-loop process control. These workloads stay on-premise on industrial edge servers. Cloud processing is the right choice for analytics that tolerate 5-60 second latency — predictive maintenance models, demand forecasting, OEE trending, and cross-plant comparisons. Most manufacturers end up with a hybrid architecture: edge for real-time control and inference, cloud for training models, long-term data storage, and enterprise dashboards. We design the split based on your latency requirements, data volumes, and cost constraints.

What about latency for real-time production control?

Real-time control loops (PLC scan times, safety systems, closed-loop process control) should never depend on cloud connectivity — full stop. Those stay on-premise. What we move to the cloud are the analytics, monitoring, and optimization layers that operate on 5-second to 5-minute cycles. For near-real-time use cases like quality inspection inference, we deploy models on edge GPUs at the plant so inference runs in milliseconds without a round-trip to the cloud. The cloud receives results for aggregation, retraining, and cross-plant analysis.

Can you aggregate data from plants running different systems?

Yes, and this is one of the highest-value problems we solve. Most multi-plant manufacturers have heterogeneous environments — Plant A runs Siemens with Ignition SCADA, Plant B runs Allen-Bradley with FactoryTalk, Plant C has a mix of legacy Modbus devices. We deploy a data normalization layer at each plant that translates local protocols into a unified data model (typically ISA-95 aligned), then streams it to a central data lake. The enterprise dashboard consumes this normalized data, so you see OEE, downtime, quality, and energy metrics in a single view regardless of what each plant runs underneath.

How do you handle compliance requirements like ITAR and CMMC?

For ITAR-controlled data, we deploy on AWS GovCloud or Azure Government regions with FedRAMP High authorization. All infrastructure is provisioned in US-only regions with no data replication outside the country. For CMMC (Cybersecurity Maturity Model Certification), we design the cloud environment to meet Level 2 requirements — access control, audit logging, incident response, configuration management, and media protection controls are built into the infrastructure-as-code templates. We provide the documentation package your compliance team needs for assessment. Our LATAM delivery team works on non-ITAR components only, with clear data boundary controls.

Why Corsox

OT-aware cloud engineers — not generic IT migration shops

We understand that manufacturing cloud infrastructure is not the same as migrating a web application. Production lines cannot tolerate downtime for IT experiments. You contract with a US LLC, communicate in your timezone, and get senior cloud engineers with genuine OT infrastructure experience at 40-60% less than US-only rates through our LATAM delivery center.

IEC 62443 & CMMC aligned

OT security architecture designed for defense-in-depth from day one

AWS & Azure manufacturing expertise

IoT Core, Greengrass, IoT Hub, Digital Twins — we know the industrial stack

Ready to build your manufacturing cloud foundation?

Tell us where your infrastructure is holding you back — siloed plant data, aging on-premise servers, or no disaster recovery plan. We'll design the cloud architecture that fits your OT reality.