Cloud costs – CAPEX or OPEX
Cloud costs are one of the most important factors influencing the choice of a particular cloud model. IT infrastructure managers need to take a wide range of factors into account.
Cloud costs are one of the most important factors influencing the choice of a particular cloud model. IT infrastructure managers need to consider both capital expenditures (CAPEX) and operating expenditures (OPEX), as well as the long-term perspective. It is not simply a matter of whether the current budget allows for the purchase of servers. The key is to analyze how costs will change as the company grows or as its demand for computing resources fluctuates.

The public cloud model is typically associated with minimal CAPEX. Instead of purchasing servers and storage arrays, a company simply rents the resources it needs. This can be particularly beneficial when the workload is unpredictable or seasonal. From a technical perspective, the company mainly needs to configure its environment – including virtual machines, containers, and databases – and ensure monitoring automation is in place. In practice, however, OPEX can increase very quickly if applications run 24/7 and generate significant traffic. For example, large NoSQL databases or high-load Kubernetes clusters running in a public cloud environment can, after just a few months, prove more expensive than purchasing and maintaining an on-premises infrastructure.

A private cloud is a typical example of a high-CAPEX model, as it requires the purchase of dedicated hardware, including servers, switches, and storage arrays, as well as virtualization software licenses – unless an open-source solution such as Proxmox or OpenStack is used. On the other hand, OPEX tends to be more predictable and includes ongoing operating costs such as electricity, cooling, and internet connectivity, as well as potential data center space rental fees in the case of colocation. From a technical perspective, a private cloud requires a team of engineers capable of managing virtualization, automation, and security. However, over a period of several years, it can prove more cost-effective for large, stable projects with predictable and relatively consistent resource requirements. A private cloud can also be provided as a “Dedicated Private Cloud”, allowing companies to avoid high upfront CAPEX by replacing it with recurring subscription-based OPEX. In this model, the provider supplies dedicated physical infrastructure exclusively for a single company, while the costs of hardware maintenance, licensing, and technical support are included in the monthly or annual subscription.

The hybrid cloud model combines the best of both worlds. A company keeps its most critical systems on private infrastructure, which means higher CAPEX but potentially lower OPEX for core services, while using the public cloud during peak periods or for testing and development projects. From a cost perspective, this model can be more difficult to estimate, as it requires clear policies defining when and how workloads should be moved to an external environment. From a technical perspective, automated management is crucial. Solutions such as Kubernetes Federation or tools like Rancher can monitor resource utilization and, when necessary, automatically provision additional nodes in the public cloud. As a result, OPEX may increase only during periods of peak demand, while for the rest of the time the company relies on its own infrastructure, which can be more cost-effective to operate.
The table below compares costs depending on the selected cloud model.
| Criteria | Public Cloud | Private Cloud | Hybrid Cloud |
| CAPEX | Low (resource rental) | High (hardware purchase and deployment) / Low (hardware rental) | Medium (partially owned infrastructure) |
| OPEX | Increases with usage | Stable in both cases | Depends on the utilization of both environments |
| Flexibility | Very high | Limited by available infrastructure | High with properly implemented orchestration |
| Data Control | Lower (external provider) | Full control | Varies depending on the cloud segment |
| Scalability | Fast (adding instances on demand) | Requires purchasing or renting additional hardware | Combines the capabilities of both approaches |
Another important aspect of cost analysis is hardware depreciation and service contracts. Polish law requires companies to account for the depreciation of fixed assets. On the one hand, this can affect a company’s financial statements, while on the other, it allows the cost of hardware to be spread over several years. In addition, if a company chooses a private cloud, it must plan for infrastructure upgrades and hardware replacement, typically every 3–5 years, as well as license renewals if it uses commercial virtualization or backup solutions. From this perspective, moving to a public cloud is attractive because it eliminates the need for significant upfront capital investment. However, it can also lead to unexpected operating costs, especially when resource usage continues to increase over time.



