Migrate your data processing pipeline to the cloud and connect your devices to the cloud.
Platform-agnostic approach to infrastructure design
Complex legacy system takeovers: data reconciliation, dual-run, and phased cutover
40 years of connected systems engineering: from sensor to cloud.
We assess project feasibility based on your objectives, the current state of your infrastructure, and your regulatory obligations, including dependencies between the system and the equipment to which it remains connected. This step results in a concise, actionable diagnostic.
We define the target solution: what migrates to the cloud, what must remain on-premises, as well as the architecture, budget, schedule, and governance. This framework is presented to and validated by your teams before implementation begins.
We migrate in batches, conducting performance, security, and compliance tests before each cutover, with a rollback procedure ready to be activated in the event of any issues.
Once the migration is complete, IT Link can handle supervision, updates, and cloud resource optimization for you, ensuring the system remains reliable and cost-effective over the long term.
Where relevant, we integrate AI-augmented engineering practices into each of these stages: assisted scoping, CI/CD automation, and AI-powered application maintenance and support, while maintaining human oversight at every key step.
Migrating a connected system to the cloud requires working with the reality on the ground. For 40 years, we have been bridging the gap between physical equipment and digital platforms. We maintain operational control locally to preserve responsiveness, and we leverage the power of the cloud to analyze and process your data.
"We maintain operational control locally to preserve responsiveness, and we leverage the power of the cloud to analyze and process your data."
Our multi-cloud agnostic stance (AWS, Azure, GCP, OVHcloud, Kubernetes) allows us to recommend the environment best suited to your business, taking into account the real-world constraints of your connected equipment, rather than the one favored by a commercial partner. Infrastructure designed without anticipating scaling, or neglected security management, remain the two most frequent risks in this type of project: our Linkers address these during the audit, not as an afterthought.
Then there is the regulatory question, which we integrate from the scoping phase. Migrating data to the cloud directly affects data protection obligations, especially when the migrated system is connected to equipment in critical sectors and therefore falls under the scope of the NIS2 directive.
At IT Link, choosing a target environment impacts your company far beyond the IT department: it dictates the budget, regulatory compliance, and future flexibility, often for years to come. Our stance is multi-cloud agnostic, with no proprietary lock-in to any specific provider. This approach also allows us to manage cloud adoption gradually, sector by sector, rather than imposing a one-size-fits-all model.
"Our stance is multi-cloud agnostic, with no proprietary lock-in to any specific provider."
This independence fundamentally changes the decision-making process. A commercial agreement with a single hyperscaler often pushes you toward their own environment, even when it is not the best fit for your needs. We present your teams with several costed scenarios, taking into account your workloads, regulatory constraints (data sovereignty, hosting within the European Union), and the level of vendor dependency you are willing to accept. Each scenario details the benefits, costs, and features available depending on the chosen provider.
This approach applies equally to a first-time cloud migration and to switching providers for an existing environment: the decision-making logic remains the same, only the starting point changes. It also applies to organizations looking to distribute data flows across multiple public clouds to limit vendor lock-in while keeping costs under control.
Data migration accounts for the bulk of the operational risk in any cloud migration project, whether it is a first-time migration or a provider switch for an already hosted environment. A plan that looks solid on paper can fail if the database transfer is not tested under conditions that accurately reflect real-world volume and load.
For older or more complex applications, we rely on a legacy recovery playbook: reconciling data between the old and new environments, running in dual-run mode while validating the switchover, and then performing a gradual migration rather than a single "big bang" cutover. This method limits risk in cases where a complete rewrite would be too costly or risky in the short term, and provides a safety net at every step.
We systematically validate data integrity before and after the transfer using comparative test sets on pre-production servers. Migrations of large or high-traffic databases are generally organized via continuous replication to minimize downtime during the final cutover.
"Migrations of large or high-traffic databases are generally organized via continuous replication to minimize downtime during the final cutover."
Data protection remains a constant requirement at every stage of the transfer, from encryption in transit to access management in the target environment. We integrate these data protection obligations (GDPR) and, where applicable, the requirements of the NIS2 directive into every step of the migration process, even when information passes through infrastructure hosted outside the European Union. This rigor allows us to tightly link technical performance with regulatory compliance, rather than treating the two as separate issues.
Our teams work on cloud migration projects across many sectors, a few examples of which are listed below, though our expertise extends well beyond these.
Migrating critical systems and transactional databases leaves no room for loss of traceability. Our migration plans meet these high standards, with a dedicated service for compliance monitoring.
These projects require enhanced infrastructure security and segmentation. We integrate these from the very start of the migration design.
An interruption on a monitoring platform has direct consequences for operations. We manage these migrations while accounting for the sector's continuity requirements.
Rapid workload growth can strain infrastructure if it hasn't been anticipated. We support this evolution proactively with cloud solutions built to last.
Production management applications do not tolerate real-time degradation. We migrate these applications and sensor data streams while maintaining the performance levels required in the field.
Hosting health data involves requirements that standard public cloud services do not natively cover. We guide you toward HDS-certified environments and secure the interoperability of your medical information systems.
Public administrations must balance cloud migration with digital sovereignty. We incorporate these criteria into our choice of provider and architecture, ensuring organizations retain full control over their data.
High-volume infrastructure cannot afford prolonged downtime. We handle these migrations with a focus on high availability requirements.
Yes, and this is actually the most common scenario for systems connected to physical equipment. The layer that controls the equipment in real time often remains close to the source for latency or reliability reasons, while the data it produces migrates to the cloud for analysis, storage, or utilization. This hybrid architecture limits risk for the critical part of the system while providing access to the benefits of the cloud for the operational part.
Treating every application the same way ignores the fact that some drive revenue while others do not. The industry identifies seven types of cloud migration, the "7 Rs": rehosting (lift and shift), the simple choice, with minimal risk and lead time, at the cost of limited performance gains; replatforming, targeted adjustments to improve performance on a controlled budget without a full rewrite; repurchasing, a "make or buy" decision that replaces an aging application with a SaaS solution when maintaining the existing one costs more than replacing it; refactoring, the most intensive investment, reserved for strategic applications, offering the best long-term return; retiring, which removes obsolete or redundant applications from the scope; retaining, which keeps a workload on-premises due to compliance, latency, or hardware dependency reasons; and relocating, which moves a server fleet to the cloud without the need for rewriting. We recommend the appropriate migration type for each application based on measurable criteria: business criticality, technical debt, total cost of ownership, and your team's ability to operate the new configuration once the cutover is complete.
The assessment begins with an analysis of the existing environment: applications, databases, interdependencies, criticality levels, and any dependencies on physical equipment. This analysis determines which applications to prioritize for migration, which require refactoring, and which are better kept on-premises for the time being.
The primary risk concerns the location and protection of transferred data, particularly with regard to the General Data Protection Regulation (GDPR) and, for certain sectors, the NIS2 directive. The choice of cloud provider and hosting location must be validated before any sensitive data is migrated.
The duration depends directly on the scope and complexity of the project. Our batch-based approach allows the first migrated applications to go live within the first few weeks, without waiting for the entire project to be completed.
We involve your technical and application teams in the business validation of each migrated application and in defining compliance criteria. The technical management workload is primarily handled by our teams to minimize the impact on your day-to-day operations.
The process relies on a gradual, batch-based migration, incorporating load testing and repeated cutover rehearsals before the actual production launch. For every critical stage, a rollback procedure is in place to revert to the original environment should any anomalies be detected after the switch.
