Google Cloud

Migration services to Google Cloud for your business


Before considering a migration to the cloud, it’s essential to understand your motivations and the triggers that are driving you toward this strategic decision. This preliminary stage of reflection will allow you to clarify your goals and identify the specific benefits you hope to achieve from the cloud.

Capacity requests

Data center contracts

License and support

Refresh cycles



Streamline costs

Compliance and security

A methodology for a successful migration, from the launch phase to the run phase

Assessing the maturity of your organization is a crucial step before migrating to the cloud. It focuses on five key aspects: the strategy, objectives, technology, processes, and people of your business. Once this assessment is conducted, you can develop an appropriate migration strategy. This strategy should include an evaluation of the level of effort required to migrate applications, servers, operating systems, and middleware to the cloud. You will also need to define a migration approach, whether it’s a phased migration or a full migration, considering aspects such as planning, risk management, and governance.

Proactive monitoring of applications with ongoing maintenance and automated reports to ensure their optimal performance.

Comprehensive asset and configuration management, allowing for effective control and tracking of all elements of your infrastructure. Reports on capacity and usage enable you to better understand trends and optimize resource allocation.

FinOps approach, to control and optimize your costs by implementing billing strategies tailored to your needs. We work with you to break down costs per project, allowing you to pay only for the resources you genuinely need. Best DevOps practices applicable throughout your transformation to the cloud and development of Cloud Native applications. This approach promotes continuous integration, continuous delivery, and automation of development and deployment processes.

Choosing the best path in your cloud migration


Migrate your applications and data as-is from a datacenter to Google Cloud, to benefit from immediate advantages in terms of cost, scalability, and availability.


Similar to rehosting applications in the cloud, but involves certain modifications (Refactor) to the application to take advantage of the new infrastructure.


Decompose and rebuild your applications for a more scalable, service-oriented cloud-native design.


Shut down inefficient or obsolete business applications while maintaining access to data.


Keep integrable and efficient applications to continue deployment, while prioritizing the migration of sensitive applications toward the end.

Why migrate to Google Cloud with Orange Business?

Take advantage of our comprehensive expertise on the Google Cloud Platform. These experts will work closely with your teams, either from our premises or by being directly integrated into your services. They will bring their expertise and experience to help you address the specific challenges of your business. Their presence will enable seamless communication, a deep understanding of your needs, and a prompt response to your questions and concerns.

Data engineers

Cloud Ops

Data architects

We provide guidance throughout your transformation and along the entire cloud services chain, delivering tailored operational solutions regardless of your maturity level.

We offer our expertise in migrating your application assets to a secure managed cloud, allowing you to stay focused on your business.

We strengthen your teams with specific skills and share our value of innovation within your future business processes.

Discover our use cases

Carrefour Belgium wanted to modernize its data chain and optimize the utilization of its data.

Our solution

Migration to Google Cloud Platform (GCP) via Cloudera enables secure and open storage and processing of data.


Carrefour can leverage its data more efficiently and utilize Google services such as stock reporting, data science, Vertex AI, and BigQuery.

Conrad was seeking to standardize, manage, and efficiently share its data across its services and entities in a simple and effective manner.

Our solution

An architecture of microservices packaged in containers, and then executed in Kubernetes, enabled high throughput processing. Once cleansed, the data is distributed, processed, and stored through other microservices.


A Big Data platform that makes structured data from all connected sources available in real-time.

Support for ad hoc queries through BigQuery.
Elimination of data silos.
Self-service approach enabling simplified data analysis and dashboard creation.