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Cloud computing

Deploy cloud solutions tailored to every use case, without over-provisioning your infrastructure.

Applications, data, technical teams: a cloud solution for every need

Hosting and running your applications
Storing and leveraging your data
Equipping your technical teams

Infrastructure-as-a-Service (IaaS) provides servers and network resources with total control over what runs on top: this is the appropriate model for critical applications where the configuration must be fully mastered. Platform-as-a-Service (PaaS) delegates part of this management, which accelerates the deployment of standard applications but reduces flexibility regarding the underlying infrastructure.

Deploying applications on the right model avoids two symmetrical pitfalls: over-provisioning infrastructure for simple use cases or under-provisioning a critical system on a generic platform. Accessing applications from multiple sites, running applications with unpredictable load spikes, or ensuring business continuity: each of these scenarios points toward a different combination of public and private cloud.

The choice of a storage solution depends less on volume than on usage: transactional databases accessed continuously do not have the same performance requirements as regulatory archives accessed once a year. Companies handling sensitive or personal information must also ensure that storage locations comply with their obligations, particularly those set by the GDPR.

Software-as-a-Service (SaaS) often includes its own storage system, which simplifies operations but limits control over the actual data location. A solution built on dedicated infrastructure offers greater control, at the cost of heavier management on the client side.

A development environment hosted on a Platform-as-a-Service (PaaS) provides teams with ready-to-use tools (continuous integration, automated testing, staging) without the need to manage the underlying infrastructure. This approach significantly accelerates business application development, provided the chosen platform remains compatible with existing internal technologies.

Organizations that make this choice without prior planning often end up with multiple redundant environments created project by project, with security and costs that escape centralized oversight. Identity and access management should be handled in coordination with cybersecurity teams as soon as the scope extends beyond simple tooling.

Aligning your needs with cloud environments

Our approach

This method is based on the principle stated above: clarify what you aim to achieve—hosting, storage, or tooling—before deciding between cloud solution models. We structure this into several stages that can be engaged independently or managed in their entirety if you require end-to-end support. Our ISO/IEC 27001 and ISO 9001 certifications cover this entire methodology: the former ensures rigorous information security management at every step, while the latter guarantees the mastery of our quality processes.

  • A comprehensive assessment of your current infrastructure and the requirements it must meet: an inventory of existing systems, mapping of actual usage, data volume and sensitivity, and security and compliance requirements specific to your industry. This audit highlights the gaps between your current situation and your objectives.

  • For every identified use case—whether hosting an application, storing data, or equipping a team—we evaluate IaaS, PaaS, and SaaS options, then select the most suitable provider(s) (AWS, Azure, Google Cloud, or French sovereign providers) based on your regulatory, technical, and budgetary constraints. A single project often combines multiple solutions rather than relying on a single default choice.

  • We assemble the selected components, configure identities and access, size resources, and implement disaster recovery mechanisms. Security and GDPR compliance are built in from the start, not added as an afterthought. Once assembled, we test availability and resilience before any production deployment.

  • Ongoing management support for your chosen solution once in production, allowing us to adjust resources based on actual usage and anticipate your evolving needs.

  • Ongoing management support for your chosen solution once in production, allowing us to adjust resources based on actual usage and anticipate your evolving needs.

    Our engineering process leverages AI at every stage, whether handled individually or in combination: AI-assisted configuration generation, proactive regression detection before deployment, and the industrialization of security and compliance checks. This approach accelerates repetitive technical tasks without ever replacing human review for sensitive infrastructure components, and without any dependency on a proprietary LLM provider.

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The trap of choosing by model rather than by use case

Choosing between IaaS, PaaS, and SaaS, or between public, private, and hybrid cloud before even defining what you need to host, store, or equip, exposes you to a recurring risk: the chosen provider imposes their own perspective, and you end up with a combination of cloud solutions designed for sales, not for your business needs.

This confusion becomes costly once the project is underway: a critical application hosted on an undersized solution leads to frequent availability issues, information stored without considering its location exposes the company to compliance risks, and a manually built development environment slows down teams rather than empowering them. The problem is never the technology itself, but a choice made without a clear connection to the actual use case.

Sectors of expertise

These areas are merely typical examples of our work and in no way limit our scope of intervention.

  • Banking, finance, and insurance

    We ensure full traceability of your processing and hosted information, regardless of the solution chosen.

  • Defense

    We guide your execution infrastructures toward sovereign solutions, with dedicated security clearances for the teams involved.

  • Energy

    We separate supervision processes, hosted in-house, from the associated analytics, which are executed on more flexible solutions.

  • Industry 4.0

    We design architectures that host sensors, supervision, and predictive maintenance, without ever compromising service continuity.

  • Professionnel de santé vêtu d'une blouse blanche et d'un stéthoscope rouge lisant un document à l'intérieur.

    Healthcare

    We guarantee the location and traceability of your health data using HDS-certified solutions.

  • Public sector

    We select providers capable of demonstrating that their data center locations comply with your sovereignty requirements.

What this approach means for you in practice

Matching each use case to the right solution, rather than housing everything in a single offering, transforms your daily operations in three ways:

  • Fewer incidents : an application sized for its actual usage reduces outages caused by poorly calibrated models.
  • Less waste : storage designed according to the actual sensitivity of your data means you don't pay for capacity you don't need for rarely accessed archives. This logic aligns with our GreenOps approach to digital sobriety.
  • Greater autonomy : development environments defined from the start save teams time without increasing uncontrolled access.

This approach primarily avoids the pitfall of choosing by default. Our teams document every decision with you—the solution chosen, the use case covered, and the alternatives rejected—so that you retain the ability to switch providers if needed, rather than discovering this dependency only when it becomes costly to undo.

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FAQ

  • Yes, in most cases. A company that hosts critical applications, stores regulated data, and provides tools for its technical teams rarely benefits from relying on a single solution for all three. The challenge is not choosing one single solution, but documenting why each component relies on the chosen option.

  • Reversibility must be planned in advance, not when switching providers. It requires choosing open data formats, avoiding non-standard proprietary services as much as possible, and contractually specifying the timelines and procedures for data retrieval.

  • Host certification (ISO 27001, HDS for the medical sector, SecNumCloud for sensitive information) and the actual location of data centers are the two criteria to verify before signing any contract, even before comparing prices.

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