Cloud Transformation: designing scalable, resilient, and AI-ready infrastructures
End-to-end modernization and management of hybrid IT environments.
Engineering enables a flexible, tailored hybrid cloud IT model for public and private organizations, supporting every phase of IT infrastructure transformation, from architecture design to the modernization of hybrid, resilient, and AI-ready environments.
We also provide end-to-end management of hybrid cloud and multi-cloud environments, leveraging AI-driven operations (AIOps) and automation to ensure a proactive approach, high performance, and full infrastructure resilience.
Why is Cloud critical for AI projects?
The integration of cloud computing and artificial intelligence (AI) is a key driver of digital transformation, requiring a strategic approach to designing scalable, integrated, and governable cloud environments.
Modern infrastructures must support AI model training and inference workloads, integrate multiple data sources, and enable flexible deployment models across environments.
In this context, infrastructure becomes the foundation for AI, providing computing power, security, governance, centralized observability, and scalability.
Why evolve data centers into AI-ready IT infrastructures?
Organizations are increasingly adopting data-driven and AI-enabled business models.
To support this evolution, we design infrastructures that combine scalability, resilience, and flexibility, integrating public cloud, private cloud, and data centers into hybrid cloud and multi-cloud architectures.
To enable the growth of secure and sovereign AI solutions, organizations need infrastructures capable of supporting advanced AI and Generative AI workloads, while ensuring high standards of security, data sovereignty, and governance.
Engineering’s Italian data centers provide a ready-to-use solution to meet these needs, ensuring digital sovereignty, data control, and security, without the complexity of managing infrastructure.
Engineering cloud services: from infrastructure to cloud operations
Engineering’s cloud services portfolio covers the full lifecycle of IT infrastructures - from on-premise environments to private cloud, public cloud, hybrid cloud, and multi-cloud architectures, including advanced digital workplace solutions.
Journey to Cloud: from cloud strategy to operational management
A compliant approach that ensures data protection and operational continuity.
What you can achieve with Engineering Cloud Services
Toolbox
Begin your journey!
Eng Data Center
The heart of digital transformation: resilience, sustainability, and security.
Cloud
Evolving, Enabling, Extending your business through Cloud.
Smart Workplace
Balancing Artificial Intelligence and automation with human interaction.
Manage complexity
Transform your IT Operations into an intelligent, predictive, and resilient operating model with Eng.
Technology partnerships: how IBM, Eng, and Extra Red accelerate innovation in enterprises
From the maturity of IBM’s platforms to the execution capabilities of the Engineering Group, all the way to new AIOps and advanced observability models. We discuss this with Roberta Bavaro, Ecosystem & Select Territory Leader IBM Italy, and Alessandro Spigaroli, Executive Director Eng Cloud & CEO Extra Red.
Embrace your Hybrid and Multi-Cloud Journey
The cloud has evolved to meet business needs, accelerating innovation.
FinOps: manage and optimize cloud costs
In today’s digital landscape, cloud adoption is no longer optional, but many organizations face a critical challenge: unlocking its full business value while keeping costs under control.
Optimize and scale Cloud Management securely
The widespread adoption of hybrid and multicloud models increases the complexity of operational management across different cloud environments and services.
5 questions to...
Ingrid Collu
Interview with the Infrastructure Services Director of Engineering.
5 questions to...
Ileana Pavia
Interview with the Cloud Services Director of Engineering.
Our Stories
Our Cloud Partners
Recommended for you
Explore additional content associated with the topic
