SUSE Launches Industrial Edge Platform Following Losant Acquisition

2026-04-27 · Source: Big Data & AI News - EE Times · Field: Technology & Digital — Internet of Things (IoT) & Connected Devices, Cloud Computing & IT Infrastructure, Artificial Intelligence & Machine Learning · Depth: Advanced, medium

Summary

SUSE has launched SUSE Industrial Edge, an industrial IoT platform integrating Losant technology following its February 2026 acquisition. This platform unifies operational data and enterprise intelligence across diverse industrial environments, targeting fragmented IoT deployments in facilities, stores, and vessels. It features a low-code/no-code environment for building workflows and applications, multi-level dashboards, pre-built templates, anomaly alerts, and integration with enterprise IT systems. The architecture leverages Kubernetes, SUSE Linux Micro, and supports a wide array of industrial protocols like OPC UA, MQTT, Modbus, and BACnet. It is designed for large-scale deployments, supporting both on-premises and cloud models, and processes over 1.20 billion workflow transactions monthly. SUSE is also joining the Linux Foundation's Margo Steering Committee and plans to open source Losant technology.

Key takeaway

For CTOs and VPs of Engineering managing distributed industrial IoT deployments, SUSE Industrial Edge offers a unified, secure, and scalable platform to consolidate fragmented operational data. Your teams can leverage its low-code environment and broad protocol support to rapidly develop applications and gain real-time operational awareness, reducing data silos and improving decision-making across diverse industrial assets.

Key insights

SUSE Industrial Edge unifies fragmented industrial IoT data with a cloud-native, low-code platform for operational intelligence.

Principles

• Cloud-native architecture enhances scalability and flexibility.
• Low-code/no-code accelerates application development.
• Open source fosters interoperability and standardization.

Method

The platform uses a Kubernetes application layer on SUSE's Linux and Kubernetes runtime, with independently scalable, stateless services and GitOps workflows for "management as code" deployments.

In practice

• Monitor water systems at construction sites to prevent damage.
• Create customized system images for edge devices with AI frameworks.
• Deploy across x86, Arm, and Nvidia Jetson platforms.

Topics

• SUSE Industrial Edge
• Losant Acquisition
• Industrial IoT Platforms
• Edge Computing Architecture
• Low-Code/No-Code Development

Best for: CTO, VP of Engineering/Data, Executive, AI Architect, MLOps Engineer, IT Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Big Data & AI News - EE Times.