How Red Hat is powering digital transformation with AI Ops and edge computing in 2025

Digital transformation is not just about migrating to the cloud. It involves automating processes, decentralizing capabilities, and using artificial intelligence to make real-time decisions. Red Hat is leading this evolution with its AI Ops and edge computing approach, enabling a new era of intelligent and decentralized operations.

First, before diving into the main topic of the article, let’s review what we mean when we talk about Edge computing.

What is Edge Computing?

Edge computing is a computing model that involves processing data near the location where it is generated, i.e., at the edge of the network, rather than sending it to a data center or the cloud for processing.

How does it work?

Instead of all data from devices like sensors, cameras, or smartphones traveling to a central server, part of the processing takes place in local or intermediate devices such as:

• Gateways
• Smart routers
• Micro data centers
• IoT devices with computing power

What is AI Ops and why is it important?

AI Ops (Artificial Intelligence for IT Operations) combines machine learning and automation to optimize complex tasks such as:

• Proactive infrastructure monitoring
• Automatic incident detection and resolution
• Failure prediction and resource optimization

With tools like Red Hat Insights, Ansible Automation Platform, and integration with platforms such as Dynatrace or Prometheus, Red Hat enables IT teams to move from reactive to predictive operations.

Red Hat at the Edge: Seamless Connectivity and Performance

Managing edge devices like sensors, remote stations, or point-of-sale systems requires a lightweight yet powerful infrastructure. This is where Red Hat Device Edge comes in, combining MicroShift (lightweight Kubernetes) with Red Hat Enterprise Linux to offer:

• Remote and secure app deployment
• Low latency for real-time processing
• Reliable connectivity with data centers and public clouds

Concrete use cases:

• Retail: Facial recognition applications in stores with local edge analysis
• Energy: Remote management of turbines or IoT sensors in areas without constant connectivity
• Finance: Biometric verification with automated deployment in branches

In 2025, Red Hat continues to lead the way in digital transformation with solutions that combine artificial intelligence, automation, and edge computing. Companies that adopt these technologies will be able to operate more efficiently, resiliently, and swiftly—leading innovation in their sector.

Rootstack continues to strengthen its ties with Red Hat, offering our clients the best services for their enterprise projects.

We recommend this video