Edge Manager
The Open and Scalable Edge Management Solution
The Open and Scalable Edge Management Solution
IOTech Edge Manager provides a flexible and scalable solution for the management of hardware nodes and their edge applications. It has been developed by edge and OT experts to deal with the specific characteristics of edge management and has been built on a foundation of innovate open technologies.
Edge Manager enables light touch provisioning and complete lifecycle management for both edge nodes and their applications. Currently, it supports the deployment and management of both containerized applications and native binary applications at the edge.
Flexible Cloud or On-Premise Control
Edge systems are managed from a centralized Edge Manager controller that can be hosted either on-premise or in the Cloud. Multi tenancy allows organizations to easily support multiple independent customer projects from the same Edge Manager instance.
Platform independence for both the managed nodes (Gateway, IPC, Server or in the future even MCU class devices) and the Cloud environment (public or private) on which the controller is deployed ensures flexibility and choice for Edge Manager users.
“IOTech’s Edge Manager has been evolving and optimizing on usability and scalability. Managing devices in the 1,000s is no easy task and Edge Manager is tackling this problem from a single pane of glass graphical interface. Being able to deploy applications to devices using a tagging system is a powerful tool. I look forward to the future releases of IOTech’s Edge Manager.” - Bryan Rodriguez, Principal Engineer, Edge Innovator at Intel.
Edge Manager Benefits:
- Simplifies Deployment and Management of Edge Systems
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Edge Manager simplifies the provisioning, configuration, monitoring, and lifecycle management of nodes, applications, and their connected devices/sensors throughout the lifetime of a system
- Addresses the Specific Constraints of Edge Systems
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Designed to address the challenges and constraints imposed by edge systems such as:
- Heterogeneity of managed node devices – Edge Manager is designed to manage any type of node including servers, gateways, IPCs, and even MCUs
- Resource constraints of node devices - Edge Manager's edge agent can support the management of node devices with limited memory, disk, and CPU capacity unlike heavier-weight alternatives such as Kubernetes
- Connectivity constraints – Edge Manager makes efficient use of network resources and supports the deployment of edge systems with limited or intermittent internet connectivity
- Application constraints – not all edge applications can be deployed in a container or to nodes that can support a container runtime (e.g. an MCU). Edge Manager supports the deployment and management of both containerized and native binary application workloads
- Designed for Performance and Scale
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Edge Manager's loosely coupled event-driven architecture helps address edge scale and can support the management of 100s or 1000s of edge device nodes and their applications
- Edge Manager OR Kubernetes
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Kubernetes imposes footprint constraints which means it is not suitable for use on many classes of edge devices, it is only focused on container orchestration and it can't be used to deploy other types of workload, nor does it support node provisioning and management or OT device onboarding. These are additional capabilities that must be provided by additional services.
- On-Premise or Cloud Hosting
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Edge Manager's controller is agnostic to where it is deployed and can be run on-premise or in the Cloud (public or private) to provide users with choice on how to centralize the management of their edge systems
- Automated Device and Sensor Provisioning
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Automated edge node and device/sensor onboarding and provisioning removes the need for manual setup and configuration of potentially thousands of devices, helping to increase the velocity of solution deployment and reduce rollout costs
- Automate and Schedule Edge Management Tasks
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Automate key edge management tasks to improve efficiency of managing your deployment at scale. Schedule tasks based on time or other criteria to automate edge maintenance/updates to best fit your operational needs.
Automated edge node and device/sensor onboarding and provisioning helps remove the need for manual setup and configuration of potentially thousands of devices, helping to increase the velocity of solution deployment and reduce operational costs
- Fully Integrated IoT Solution Stack
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IOTech Edge Central, our open edge data platform takes advantage of all the Edge Manager functionality to provide a complete end-to-end Industrial IoT edge solution stack