When a Company Needs Its Own Cloud Infrastructure

When does a company need its own cloud infrastructure?#

A company needs its own cloud infrastructure once standard public services can no longer support its data volume, number of users, or required level of control over critical systems. This is the point where the IT department can no longer guarantee enough capacity, security or availability within the existing setup. The need typically surfaces during business growth, the rollout of a new information system, the integration of several departments into one shared system, or when customers and regulators demand tighter control over data and access traceability.

The decision to move to dedicated infrastructure is rarely triggered by a single event. More often it is a series of smaller warning signs: systems slowing down during peak loads, growing difficulty connecting ERP, CRM and production systems, or uncertainty about where data actually resides and who can access it. Once these issues repeat across several departments at once, it becomes clear this is a systemic question rather than a single technical glitch that one employee or one fixed setting can resolve.

It is worth noting that a company's own cloud infrastructure does not automatically mean building a private data center. It can be a private cloud, a dedicated environment at a provider, a hybrid setup, or a combination of existing and new resources. Which model fits depends on what the company actually needs: control, capacity, security, regulatory compliance, or a mix of all of these. The first step is therefore always an analysis of the current state, not a choice of technology.

What a company's own cloud infrastructure actually means#

A company's own cloud infrastructure means an environment in which the organization has clear control over where its systems run, who can access them, and how data is protected - whether that is a private cloud, a dedicated hosted environment, or a combination with public services. The difference from a standard public service is not that it costs more or is more complex, but that it is built around one company's actual requirements rather than a general pool of users.

In practice this means architecture, security settings, access rules and disaster-recovery procedures are defined around the company's real processes, not a provider's default configuration. This lets a company shape the infrastructure around its own systems - ERP, CRM, document systems, production data - instead of bending its processes to the limits of a standard service.

Dedicated infrastructure also means more responsibility. A company has to define who inside the organization decides on access rights, how security updates are tracked, and who is accountable if a system fails. For this reason, setting up a company's own cloud infrastructure almost always comes bundled with the question of maintenance and support after go-live, not just a one-off setup.

Signs that existing infrastructure no longer keeps up with the business#

A handful of signs keep repeating among companies that start considering their own cloud infrastructure. Most often it is a combination of technical limits and organizational questions surfacing in several departments at once - from IT through finance to production. Once these signs start piling up, it makes sense to review infrastructure systematically rather than fixing individual issues one by one.

Taken on their own, these signs can look like minor technical fixes. Taken together, affecting several departments at once, they signal that existing infrastructure no longer matches actual business needs. At that point the right question shifts from how to patch the current problem to what kind of infrastructure will support the next few years of growth.

It matters to tell apart a single application's problem from an infrastructure-wide one. A slow website can be caused by one wrong setting, while repeated slowdowns across several systems at once are more often caused by a base architecture that was never designed for the current volume of data and users.

• Systems slow down or become unreachable during peak loads.
• Connecting ERP, CRM and other systems through APIs keeps getting harder or less reliable.
• It is unclear where certain data is stored and who can access it.
• Audits or customer requests for proof of data security keep increasing.
• Every new feature needs exceptions or workarounds in the existing setup.
• Response times during an outage are not agreed or not clear.

Public cloud, a private setup, or a hybrid model#

Choosing between a public cloud, a private setup and a hybrid model depends on what matters more to a company: speed of deployment, control over data, or flexibility as it grows. None of the three options is universally better; each fits a different combination of security requirements, regulatory compliance, existing systems and how employees actually work.

A hybrid model often turns out to be a middle ground for companies that already have part of their systems in order but need extra capacity or a separate environment for sensitive data. It lets part of the infrastructure stay at its current location while another part moves to an environment that is easier to scale or control, without migrating every system at once.

The choice between models is not final. Infrastructure built for today's needs can later be expanded or reshaped, provided it was designed with growth in mind. Planning should therefore ask not only what the company needs today but also how requirements will change over the coming years, and whether the chosen setup will allow for that without a second migration.

• Volume and sensitivity of the data that needs to be processed and stored.
• Regulatory or customer requirements regarding data location and access control.
• Number and complexity of existing systems that need to be connected via APIs.
• Expected growth in load and the need to add capacity quickly.
• Availability of in-house knowledge to manage the infrastructure after go-live.
• Required availability level and the disaster-recovery plan.

Security, compliance and accountability for data#

A company's own cloud infrastructure often becomes necessary once an organization can no longer prove where its data is stored, who can access it, and how it is protected. This question is especially pressing in regulated industries and the public sector, where rules such as GDPR require clear traceability of personal data processing, regardless of which system holds it.

Security in dedicated infrastructure is not a one-time setting but an ongoing process: managing access, tracking vulnerabilities, hardening systems and responding to incidents. It matters to keep development, test and production environments separate, since mistakes most often happen when test changes get pushed, unchecked, into the environment running real customer or employee data.

Accountability for data stays with the client, even when an external provider manages the infrastructure. That is why setting up a company's own cloud infrastructure always raises the question of who holds access to passwords and configurations, how access to the production environment is documented, and what happens to documentation and credentials if the provider changes or the engagement ends.

High availability and responsiveness to load#

High availability becomes important once a single system's outage no longer affects just one department but halts several connected processes at once - ordering, production and reporting, for instance. In such cases a standard public service without additional resilience settings is no longer enough, since it does not give enough control over how the system behaves when one component fails.

Dedicated infrastructure lets system capacity adjust to actual load instead of being fixed in advance. This matters for companies whose load shifts with the season, the production cycle, or events such as month-end closing in finance or order peaks in sales. Infrastructure that cannot adapt often becomes the bottleneck exactly at the moments when reliability matters most.

Planning for availability requires deciding in advance which systems are critical and which are not. Not every part of the infrastructure needs the same level of outage protection; that is what priority classes are for, ranging from a critical outage to minor issues that can wait for the next regular release.

How does the move to a company's own cloud infrastructure work?#

The move to a company's own cloud infrastructure starts with a review of existing systems, data and connections, not with picking a technology. Before any migration, it is necessary to understand which systems are linked to each other, where data is duplicated, and which processes will need to run temporarily in parallel across the old and new environment during the transition.

During the move, it is essential that changes are tested before release into production, since migrating infrastructure often reveals connections between systems that were never documented before. It therefore makes sense to split the transition into parts that can be tested and rolled out separately, rather than moving every system at once in a single step.

A project of this size typically needs a designated project lead, a clear split of responsibilities between teams, and an agreed way of reporting progress. For companies that already have a partially built or unfinished system, the transition can also start by taking over the existing code, architecture and infrastructure after a prior review, without necessarily starting from scratch.

• Review of existing architecture, systems and data that need to be migrated.
• Identification of critical systems and the required availability level for each.
• A data migration plan, including integrity checks after the transfer.
• Separation of development, test and production environments before work begins.
• Testing connections with existing systems such as ERP, CRM or document systems.
• Handover of documentation, access and credentials once the setup is complete.

The role of monitoring, DevOps and maintenance after go-live#

Setting up a company's own cloud infrastructure is not a one-off project that ends at go-live. Afterwards, systems need to be monitored, updated and adjusted, since load, security threats and business requirements keep changing. Without agreed oversight after go-live, the very risks the move to dedicated infrastructure was meant to remove can resurface over time.

A DevOps approach here means that infrastructure changes are handled with the same structure as software changes: through testing, controlled release, and traceability of who changed what and when. This matters especially for systems connected across several departments, since an uncontrolled change in one place can cause an outage somewhere else.

A company needs to decide in advance who looks after the infrastructure after go-live: an in-house team, an external provider, or a combination of both. It helps to pre-define how issues are prioritized - from an outage requiring immediate attention to minor issues that can wait for the next regular release - so it is clear upfront what happens in each case.

How to choose a provider for setting up cloud infrastructure#

When choosing a provider to set up a company's own cloud infrastructure, it is worth checking whether the team covers the full scope of work - architecture, security, DevOps support and testing - or only a part of it, such as server setup without ongoing support. Projects of this kind rarely stay a one-off task, since the need for upgrades and support tends to appear soon after launch.

It also matters how a provider handles data and access during the project. Source code, configurations and data should remain the client's property, while documentation and credentials should be part of the handover at the end of the engagement or if the provider changes. A serious provider raises this question itself, before the client has to ask.

At Epix and its specialist partner network, a cloud infrastructure project can be taken on in full - from analyzing the current state through architecture, security and data migration to monitoring operations after go-live - or as a single segment, such as just the migration or just setting up security monitoring, depending on where support is actually needed.

Because every project's scope differs, we do not publish prices for setting up cloud infrastructure in advance. It depends on the volume of data, the number of systems that need to be connected, the required level of security and availability, and the scope of support after go-live. Before any proposal, we suggest a short analysis that breaks the scope into segments, so each part can be estimated and delivered separately.