
Litmus Edge ManagerLitmus Automation
Litmus Edge Manager empowers you to deploy, monitor, and manage edge operations and data across any site with centralized oversight. IT-OT integration works seamlessly on VMS, containers, or gateways—giving you the agility, consistency, and security to scale across your entire enterprise.
Vendor
Litmus Automation
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Product details
Litmus Edge Manager is a centralized orchestration platform designed to manage industrial edge operations at scale. It enables enterprises to deploy, monitor, and control edge devices, data, applications, and AI models from a single interface. With seamless IT-OT integration, Litmus Edge Manager supports deployment on VMS, containers, or gateways, offering agility, consistency, and security across the enterprise.
Features
- Device Management
- Remote configuration and updates at scale
- Standardized onboarding via configuration templates
- Over-the-air (OTA) firmware and software updates
- Real-time performance monitoring of edge devices
- Data Management
- Role-based access control
- Real-time system alerts and anomaly detection
- Automated backup and restore for data protection
- Ensures data security, integrity, and continuity
- Application Management
- Secure deployment of Docker-based applications
- Centralized policy enforcement
- Container-level isolation and access controls
- Supports edge, cloud, and hybrid environments
- Model Management
- Full lifecycle management of AI/ML models (deploy, test, update, retire)
- Assign models to specific machines, assets, or locations
- Deploy containerized models across multiple sites
- Integration Capabilities
- Connects with cloud platforms (Google Cloud, Microsoft Azure, AWS, Oracle Cloud)
- Compatible with analytics tools like Databricks and Snowflake
- Seamless integration with enterprise software
Benefits
- Centralized Oversight: Manage all edge operations from one interface, reducing complexity.
- Scalable Deployment: Easily scale across lines, plants, and global sites.
- Enhanced Security: Role-based access, anomaly detection, and secure data handling.
- Operational Efficiency: Real-time monitoring and automated updates streamline workflows.
- AI Enablement: Operationalize machine learning models at the edge for smarter decision-making.
- Rapid Activation: Edge-to-cloud pipeline can be activated in weeks.
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