EDGE MANAGER
The Open and Scalable Management Solution for Edge AI
Edge Manager unifies node management, application lifecycle control, and AI workflow orchestration for reliable, scalable edge operations
EDGE MANAGEMENT CAPABILITIES
Built for the Challenges of Edge OT Management
Edge Manager streamlines provisioning, configuration, monitoring and lifecycle management for edge nodes, apps and connected devices. Built by edge/OT specialists for light-touch onboarding, it delivers full lifecycle control of containers, native Linux services and scripts across distributed environments.
Agentic AI for Edge Operations
Use agentic AI to help teams manage complex, distributed edge environments—automating operational workflows, monitoring deployment and application health, and initiating or recommending predefined actions. By pairing operational context with Edge Manager’s orchestration capabilities, teams greatly cut repetitive manual work and respond faster across large-scale deployments.
EDGE MANAGER OVERVIEW
An Introduction to Edge Manager
EDGE MANAGER KEY FEATURES
Edge Manager Core Capabilities
AI-Enabled Edge Orchestration
Edge Manager simplifies the provisioning, configuration, monitoring, and lifecycle management of nodes, applications, and their connected devices/sensors throughout the entire system lifecycle.
AI agents can help automate key operational workflows and enable teams to identify issues in the system more quickly by adding operational context to Edge Manager’s orchestration and management capabilities.
Built for Edge Constraints
Designed to address the challenges and constraints imposed by edge systems such as:
- Hardware Heterogeneity: Manages any node type, from enterprise servers and IPCs to lightweight gateways and MCUs
- Resource Limits: Outperforms heavy frameworks (like Kubernetes) by running efficiently on CPU-, RAM-, and disk-constrained hardware
- Connectivity Constraints: Efficiently utilizes bandwidth to maintain seamless operation over limited, high-latency, or offline connections
- Application Constraints: Supports non-containerized workloads directly on low-footprint nodes unable to host container runtimes
Performance and Scale
Built on a loosely coupled, event-driven architecture, Edge Manager scales effortlessly to support centralized monitoring and control across thousands of distributed edge nodes and active application workloads.
Edge Manager vs Kubernetes
Edge Manager is based on Docker Compose, which is simple, well documented and low overhead. We respect Kubernetes (k8s) but for our use cases k8s imposes a footprint and complexity that can be a challenge for use on many classes of edge devices. Edge Manager goes beyond container orchestration with script management, configuration deployment, systemd management as well as streamlined node provisioning that differ from normal k8s responsibilities that must be provided by additional services.
On-Premise or Cloud Hosting
The Edge Manager controller is location-agnostic. Deploy it in public or private clouds, or host it on-premises to meet strict data sovereignty, low-latency, and internal corporate security mandates.
Automated Task Scheduling
Eliminate repetitive manual maintenance by automating key management tasks. Easily schedule routine system updates, configuration changes, and node maintenance based on time windows or custom operational triggers.
Fully Integrated IOTech Stack
Integrates natively with IOTech Edge Central (AI-ready edge data platform) and IOTech Edge Connect (real-time data connectivity) to deliver a unified, enterprise-grade Industrial AI and IoT edge solution stack.