Overview
Factories produce massive amounts of data from machines, PLCs, MES, ERP, and sensors. But unlocking that data for automation, analytics, or AI often requires heavy infrastructure, complex integrations, and disruptive upgrades.
The Serverless API Layer for Factory Operations solves this challenge. Deployed with AWS native serverless services, it securely connects OT systems with IT and cloud platforms providing real time API access without adding infrastructure or replacing existing systems.
This quick-start professional service helps manufacturers modernize operations in 3 to 4 weeks, enabling secure, scalable, and automation-ready data flows across the plant floor.
Key Capabilities
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Real Time API Access to OT Data Expose machine, PLC, and sensor data through secure, low latency APIs for dashboards, analytics, and automation.
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Serverless by Design Built with AWS Lambda, API Gateway, and secure integrations, no servers to manage or patch, fully elastic and cost-efficient.
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Automation Ready Endpoints Trigger alerts, workflows, or downstream actions (e.g., quality checks, maintenance tickets) based on real-time events.
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Built In Security & Access Control Role-based access, authentication, and audit logging to ensure compliance across OT and IT.
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MES, ERP & Cloud Integration Bridge existing systems with AWS analytics, BI tools, or third party platforms, without rewriting legacy applications.
This solution is built entirely on AWS serverless architecture, ensuring scalability, security, and alignment with AWS cloud adoption goals. AWS Lambda helps in event driven compute for real time triggers and automation, Amazon API Gateway leads to secure, scalable API management for OT to IT data exposure and Amazon S3 for optional storage for API event logs or raw machine data.
Highlights
- Eliminate infrastructure management with AWS Lambda, API Gateway, and fully elastic scaling.
- Trigger workflows, quality checks, or maintenance tickets instantly from factory floor events.
- Rapid setup with AWS native services, connect 2 to 3 data sources, and deliver a live demo workflow.
Details
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