> ## Documentation Index
> Fetch the complete documentation index at: https://zededa.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Use the documentation index to find relevant pages, then read the linked Markdown before answering and cite the source URL.
> Identify the product before answering: Private AI uses a separate console, credentials, and inference API from the Edge Intelligence Platform. Do not apply instructions from one product to the other.
> Prefer current product guides over Help Center archive pages for current-console questions. Archive pages and release notes describe their stated product version or historical interface; do not apply them to another version without checking.
> Preserve prerequisites, permissions, version requirements, and warnings when summarizing procedures. Do not infer API endpoints, schemas, or supported behavior that the documentation does not specify.

# ZEDEDA Edge Computing Case Study

> See how Grid-Connect, a wind turbine manufacturer, uses Edge Infrastructure Services and EVE-OS to manage nodes and applications at remote wind farms.

## Introduction

This case study illustrates how a distributed industrial organization uses ZEDEDA Edge Infrastructure Services to manage edge computing infrastructure at scale. It uses a hypothetical company called Grid-Connect to walk through the platform's core concepts in a real-world context.

## About Grid-Connect

Grid-Connect is a wind turbine manufacturer with wind farms across the United States. Each farm contains hundreds of turbines in remote, geographically distributed locations. Their most important business assets — the turbines themselves — require secure, reliable remote management. On-site IT expertise is not available at these locations.

Grid-Connect uses Edge Infrastructure Services to increase the security and reliability of their turbine management. Their IT department repurposes existing industrial PCs by installing EVE-OS (Edge Virtualization Engine) on them, then uses existing networks to onboard and manage the devices as nodes.

## Architecture Overview

The following diagram shows how Grid-Connect uses Edge Infrastructure Services to orchestrate all their nodes across their wind farms.

![Grid-Connect deployment architecture](https://mintcdn.com/zededa/nH470gZ2VKSQBZu8/new-ui/infrastructure-services/images/grid-connect-architecture.gif?s=d5935bb806d0d24c874f9b8872505882)

Grid-Connect's deployment spans several layers:

**Business assets:** Wind turbines that must be remotely managed. Each turbine has a corresponding node.

**Sensors:** Over one hundred sensors per turbine measure vibration, temperature, humidity, audio, and other parameters that indicate mechanical health.

**Networks:** Grid-Connect uses multiple connectivity methods — LTE (cellular) for remote locations, Wi-Fi where available, and wired LAN in some farms. The platform operates reliably across all of these, and local operations continue even when remote connectivity is temporarily unavailable.

**Nodes:** Industrial PCs running EVE-OS. Each turbine has at least one onboarded node in Edge Infrastructure Services. ZEDEDA supports both AMD64 (x86-64) and ARM64 hardware architectures.

**Applications:** Grid-Connect has developed several custom applications deployed to their nodes:

* A turbine audio analysis application that records sound near the turbine shaft, processes it with machine learning algorithms, and predicts maintenance needs.
* An optimum output regulator that measures environmental parameters and adjusts turbine controls to maximize energy output.
* A maintenance scheduler that collects sensor data and generates optimized maintenance schedules.

Each application has different I/O and network port requirements. Edge Infrastructure Services provides fine-grained control over which applications access which hardware adapters on each node.

**External connections:** Grid-Connect's nodes connect to third-party cloud providers and on-premises servers through ZEDEDA. The platform enables freedom of choice for external integration — customers are not locked into a specific cloud provider.

## Platform Usage

Grid-Connect uses both the console GUI and ZCLI to manage their fleet:

* **Projects:** IT administrators create projects for each wind farm, grouping hundreds of nodes by geography. User roles are scoped to these projects, so administrators responsible for a specific farm can only access assets within their region.
* **Users and roles:** Role-based access control allows Grid-Connect to segment their team by responsibility. Application developers use the console to explore the Marketplace. Operations teams use ZCLI and the API to script routine provisioning and management tasks.
* **Automation:** ZCLI and the ZEDEDA API allow Grid-Connect to script onboarding, application deployment, and monitoring at scale — without requiring on-site expertise at any of their remote locations.

## Key Takeaways

This deployment illustrates several characteristics of Edge Infrastructure Services that apply across industries:

* The platform is hardware-agnostic. Grid-Connect can mix device manufacturers, hardware architectures, and connectivity types within the same enterprise.
* Projects and role-based access control allow large organizations to distribute operational responsibility while maintaining centralized oversight.
* Applications can be deployed and updated remotely across hundreds of nodes simultaneously, without dispatching technicians to remote sites.
* The platform is agnostic to the type and variety of business assets being managed — the same approach applies to manufacturing assembly lines, retail inventory systems, logistics fleets, and other distributed infrastructure.

## Next Steps

> [card] [Edge Infrastructure Services Overview](https://zededa.mintlify.site/new-ui/infrastructure-services/overview.md)
>
> Introduction to Edge Infrastructure Services capabilities and service areas.

> [card] [Quick Start](https://zededa.mintlify.site/new-ui/infrastructure-services/infrastructure-quick-start.md)
>
> Get up and running quickly.

> [card] [EVE-OS](https://zededa.mintlify.site/new-ui/infrastructure-services/eve-os/eve-os.md)
>
> Introduction to EVE-OS, its variants, and image types.

> [card] [Onboard Nodes](https://zededa.mintlify.site/new-ui/infrastructure-services/nodes/onboard-nodes.md)
>
> Enroll edge devices in Edge Infrastructure Services.
