Cloud or "on-premises": what should a business choose

The cloud offers speed and scalability, while on-premises hardware provides stability and security. Despite the advancement of cloud technologies, many organizations remain hesitant to trust them. Therefore, the debate over “cloud versus on-premises” will remain relevant for a long time.

In this article, we examine when the cloud wins and when it is more sensible to invest in your own infrastructure.

Andrey Kiselyov, General Director “IT-GRAD”

How to Choose

Cost is the first factor to consider. The cloud may seem more expensive at first glance when comparing rental costs with one-time server purchases. However, if you calculate the TCO (Total Cost of Ownership), including administrators, electricity, and upgrades, the result is often parity or even an advantage for the cloud.Data control is crucial for government agencies and industries with strict regulatory requirements. If compliance mandates that data must physically reside in your own data center, the cloud is not an option. Although hybrid solutions are now addressing this issue as well.Scalability is the cloud’s main advantage. It is impossible to quickly add or remove resources with on-premises hardware. For startups or seasonal projects, this is often a decisive argument.The question comes down to priorities: is cost savings, security, or flexibility more important?

Several clear scenarios can be identified where each option proves most advantageous.The cloud is ideal for startups and rapidly growing projects where it is important to quickly test hypotheses without capital investment in infrastructure. You pay only for the resources used and do not worry about purchased servers becoming obsolete.

Companies with seasonal or unpredictable workloads also value the cloud’s ability to automatically scale resources.Furthermore, clouds are the ideal scenario for geographically distributed teams that require service availability from anywhere in the world. Deploying infrastructure across multiple regions via the cloud is a matter of a few clicks.On-premises hardware becomes a cost-effective solution when workloads are stable and predictable, making long-term server operation more economical than cloud rental. It is also indispensable when strict data security requirements are involved—for example, in the government sector or finance, where regulators may insist on the physical placement of infrastructure. Or, if a company already has a data center with excess capacity, it is more sensible to use existing resources rather than overpay for cloud services.However, the trend of recent years is hybrid models. For example, a database is kept on on-premises hardware, while the frontend and analytics are hosted in the cloud. This approach combines control with flexibility. The key is not to get stuck in the past by thinking that these solutions are mutually exclusive. Modern technologies allow you to combine them according to your specific needs.The personal stance of management often plays an even greater role than objective metrics. I have encountered many situations where rational arguments collided with human factors.“Old-school” owners often perceive the cloud as unreliable. This is a matter of psychological comfort: they need to physically feel control over the infrastructure. Even when we present calculations showing that the cloud is more reliable and cheaper.On the other hand, progressive CIOs sometimes get too carried away with “cloud trends,” implementing them where it would be simpler and more cost-effective to keep a local solution.Of course, the ideal solution should be based on numbers, not personal preferences. But in practice, the opinion of key decision-makers often becomes the decisive argument. Therefore, our task as experts is not just to provide data, but to find the right approach and explain the advantages of a particular model in language understandable to a specific executive.Hybrid model is exactly the case where you do not have to choose between “either-or.” It becomes particularly relevant when a business faces contradictory requirements. For example, if it is critical to store core data on your own hardware for security reasons, but you also need to flexibly scale frontend services for seasonal workloads—this is the ideal scenario for a hybrid approach.Another typical case is a gradual migration to the cloud. Not all companies can move all systems at once, and hybrid infrastructure serves as a “transition bridge.” You can gradually test the cloud for new services without disrupting existing processes.Hybrid solutions are also justified when part of the workload is stable and part is “bursty.” Why overpay for constant capacity rental for tasks that are active only 20% of the time?The main thing is not to turn the hybrid into a “technology junkyard.” Without a clear architectural plan, you can end up with a costly-to-maintain mess. But with a proper approach, it is the best of both worlds: control where needed, and flexibility where it is beneficial.

Cloud Infrastructure: Pros and ConsPros:
— scalability within minutes
— no costs for maintenance, power supply, and upgrades
— convenient for dynamic and distributed businesses.Cons:
— unoptimized settings can “eat up” the budget
— dependence on the provider.On-Premises Infrastructure: Pros and Cons

Pros:
— full control over hardware and processes
— can be cheaper with stable workloads.Cons:
— high costs for operation, support, and fault tolerance
— difficulties with scaling
— rapid obsolescence of hardware.Economics and RisksMany companies underestimate hidden costs. In addition to obvious equipment expenses, you must consider maintenance costs—salaries for qualified engineers, upgrades, repairs, electricity, and cooling. It is like buying an expensive premium car: at first, you are happy to own it, but then the nuances begin.Another pitfall is obsolescence. Hardware becomes outdated faster than it physically fails. In three to five years, servers may no longer meet modern performance and energy efficiency requirements. And selling them at a good price is unlikely.The scaling problem also remains. What if you suddenly need twice the capacity? With your own data center, this means new purchases, configuration, and testing. In a crisis, you might simply not have time.And, as already mentioned, reliability. To achieve the same level of fault tolerance as major cloud providers, you need to invest in redundant capacity. And it will sit idle 90% of the time. It is like buying a second car “just in case”—expensive and irrational for most.There is a belief that the cloud is cheaper only at the start, but can become more expensive later. However, when a business stabilizes and workloads become predictable, cloud costs can start to “bite.”The problem is that many companies do not optimize their cloud spending. Virtual machines run idle, data is stored in suboptimal storage, and forgotten test environments continue to rack up bills. Cloud providers have optimization tools, but clients need to actively use them.For long-term projects with constant workloads, on-premises hardware may indeed be more economical. But, as I said, it is important to calculate TCO and not forget about flexibility. In the cloud, you can always switch to a more favorable tariff or even to another provider, whereas you cannot resell hardware once it is bought.So the statement is partially true, but with caveats. The cloud can be expensive if used thoughtlessly. But with a proper approach, it often remains a competitive option even in the long run—especially if you value the ability to quickly adapt to changes.

Security and TrendsIn terms of security and regulation, theory often diverges from practice. Major cloud providers already offer a level of data protection that most companies simply cannot afford. However, legislation often lags behind technology.For example, in the government sector and finance, cloud solutions with data localization and necessary certifications formally meet requirements. But in practice, many regulators still insist on the presence of local hardware.A special case is international companies. They have to literally “split” their infrastructure between jurisdictions. In this context, the cloud can be both a solution and an additional risk.Therefore, the advice is simple: start not with technology, but with an audit of requirements. Sometimes it is easier to agree on a cloud solution with a regulator once than to maintain an expensive data center “for show” for years. Hybrid schemes allow you to comply with both the letter of the law and common sense.The Future of Infrastructure: Key Trends and TechnologiesCurrently, we are at an interesting stage of industry development—new technologies are emerging that can change the established approach to choosing between cloud solutions and local infrastructure. One such trend is edge computing.Edge computing is an architecture where data is processed not in the center, but at the “edge” of the network, as close to the source as possible. Imagine a factory with thousands of sensors: previously, all information from them was sent to the cloud for processing. Now, intelligent sensors and local servers can analyze data on-site and make decisions in real time.Hybrid solutions of the new generation look particularly promising. They allow for dynamic redistribution of workloads between the cloud and local infrastructure—for example, depending on electricity costs or current network load. While such systems currently require manual configuration and management, there are already companies testing more autonomous variants.In the near future, the question of “cloud or hardware” may lose its relevance—replaced by an ecosystem where infrastructure dynamically adapts to business tasks. The main thing is not to get stuck in the paradigm of the last decade.