OnLogic with EdgeIQ for IoT Orchestration for Industrial Environments
A fully managed edge compute gateway designed for industrial and embedded solutions
OnLogic with EdgeIQ for IoT Orchestration Is a Solution That Can Be Rapidly Deployed on AWS
OnLogic edge computers enabled with AWS IoT services and EdgeIQ management software seamlessly extend computing services to the edge. This allows industrial and embedded systems to leverage AWS Lambda services, machine learning, and the ability to act locally on edge-generated data. Simultaneously, customers can leverage AWS Cloud services for overall management, data and system analytics, and durable storage. The OnLogic industrial and rugged edge computers with factory-installed EdgeIQ software seamlessly deliver integrated edge and cloud compute capabilities with zero-touch deployment, monitoring, and rich software update features. EdgeIQ Orchestration is purpose-built to meet the automation and uptime challenges OEMs face when integrating software-defined devices with AWS IoT and other AWS Cloud services.
EdgeIQ is an AWS IoT Competency Partner.
Effortless Service Integration
Bring your own accounts and zero-touch provisioning will automatically configure and update the device with AWS IoT Greengrass and AWS Lambda.
Complete Device Life Cycle Management
Easily manage OnLogic devices from initial deployment, application, and device monitoring to automated software updates.
Industrial Grade Hardware and Connectivity
Deploy OnLogic devices with EdgeIQ in the most extreme of industrial and remote environments.
EdgeIQ Orchestration for AWS was purpose-built to meet the orchestration and uptime challenges that come from integrating software-defined devices with AWS IoT and other AWS Cloud services.
- AWS service integration and management: Bring your own accounts and EdgeIQ implements the rest including resource and certificate management.
- Zero-touch provisioning and updates: Automatically configure and update AWS IoT Greengrass-enabled devices including Lambda and machine learning models.
- In-depth service monitoring: Monitor AWS IoT Greengrass, installed Lambda functions, and other services using configurable policies that trigger notifications and actions.
- High availability: Maximize uptime with automatic restart or failover of edge components and applications including AWS IoT Greengrass and AWS Lambda.
Case Study: Alternative Energy Provider Seeking a Device Management Solution
Beyond reliable and industrial grade connectivity, an alternative energy provider was seeking to simplify the deployment and management of its device fleets. The provider wanted device data to flow into its AWS IoT accounts and to leverage AWS IoT Greengrass for edge compute capabilities.
The OnLogic EdgeIQ IoT solution on AWS allowed the collection of trillions of data points from industrial systems, enabled the customer to process that data locally, and then normalized and filtered the data before securely transmitting to the target AWS Cloud service.
The customer benefitted from a turn-key, high availability, and robust hardware and software solution that was fast to deploy, easy to manage, and easy to maintain that leveraged existing customer facing AWS-based cloud services and applications.
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