Cloud services: how they work and why they have become the standard

The concept of “the cloud” has long gone beyond fashion or hype — today it is the de facto standard for launching new digital products, building internal systems, and even storing critical information. According to recent analytical reports, most companies in developed countries either already use the cloud or are actively transitioning to this format. But despite its popularity, for many IT managers, the concept of the cloud remains rather abstract — especially if they are not specialists in this field. This article explains how cloud services work, what functions they perform, what models of cloud services exist, and what their strengths and weaknesses are.

What functions do cloud services perform?

Modern cloud services perform many more functions than just storing data or providing virtual servers. They serve as the infrastructure foundation for digital transformation: 

• providing computing power;
• network services;
• deployment automation;
• backup;
• development tools;
• analytics;
• security;
• integration with other systems.

In many cases, the cloud is not just a “hosting location” but a hub where business logic, data, and innovation intersect.

One of the key functions of the cloud is to provide flexible access to resources on demand. For example, a company can create dozens of virtual machines or containers in a matter of minutes to test a new product, and then simply shut them down and not pay for them once the work is complete. This radically changes the approach to building an IT environment: from long-term planning to flexible response.

Cloud services can be used to build distributed, scalable systems with high availability. Thanks to automatic load balancing, orchestration, and self-healing tools, platforms can operate without failure even under the pressure of large volumes of requests. This is especially important for businesses that depend on continuous access to services — banks, e-commerce, telecommunications.

De Novo Public cloud

Another important feature is integration with tool ecosystems. Most providers offer cloud-based artificial intelligence services, data storage, CI/CD tools, monitoring systems, security services, and other modules that can be quickly integrated into your own IT architecture. This reduces the time needed to develop solutions and allows you to build complex systems using a construction set principle. This is where the advantages of using cloud services in product development come to the fore. Finally, the cloud has become an important tool for building hybrid and multi-cloud strategies. Many companies use both private resources and public services, balancing security, cost, and performance. This approach creates a new level of flexibility for cloud services for business and reduces the risk of downtime.

Types and models of cloud services: how not to get confused in IaaS, PaaS, SaaS?

To use the cloud effectively, it is important to understand that it can vary in terms of both deployment method (public, private, hybrid) and service delivery model. The three most common types of cloud services are IaaS (infrastructure as a service), PaaS (platform as a service), and SaaS (software as a service). Each of them solves different tasks and involves a different level of responsibility between the client and the provider. This comparison of cloud services allows you to make an informed choice according to your business needs.

• The IaaS model provides basic infrastructure — virtual machines, storage, network components — and gives the customer complete control over the OS, software, and data. This is the most flexible option, ideal for companies with experienced DevOps teams or those migrating from physical infrastructure. Examples — AWS EC2, Google Compute Engine, Azure Virtual Machines — are practical cloud services that are widely used in development and operations.
• PaaS goes further: the provider provides not only the infrastructure, but also the environment for developing, deploying, and scaling applications. This allows developers to focus on code rather than configuring servers, databases, or logging systems. This approach is particularly useful for startups, R&D teams, or internal products. Well-known examples — Heroku, Google App Engine, Azure App Service — demonstrate the advantages of cloud services in terms of speed of solution launch.
• SaaS is the final level — these are ready-to-use applications accessible via a browser or API. The user does not manage either the infrastructure or the code, but only works with the functionality. Classic examples are Microsoft 365, Salesforce, and Google Workspace. For businesses, this is a quick way to access the tools they need without the cost of deployment — another example of how cloud services can be used to achieve operational goals.

De Novo Private cloud as a service

In addition to these models, new hybrid approaches are emerging on the market, such as functions as a service (FaaS), container services, and DataOps platforms. The choice of model depends on your goals, budget, team's technical competence, and flexibility or security requirements. That is why it is important to have a clear idea of what part of the responsibility you are willing to delegate to the provider — and what the value is for your business.

How to transition to cloud services without risk and data loss?

The transition to cloud services always involves a change in architecture, processes, and responsibilities. But the risks associated with such a migration can be controlled if you act systematically. The first and most important step is a complete audit of the current IT infrastructure: which services are critical, what are the dependencies between them, how much data needs to be transferred, and which part of the systems requires high availability. At this stage, it is also determined which components can be transferred to the public cloud and which should remain in the private cloud.

The second step is the migration strategy. The safest option is a gradual, phased migration with testing and parallel operation of the old infrastructure. Cutting the cord completely right away is dangerous both technically and organizationally. For example, you can start by backing up to a cloud service, then migrate less critical services, and only then migrate core business applications. This approach allows you to quickly reap the benefits of the cloud and minimize errors.

Data security deserves special attention. This is not only a matter of encryption during transmission and storage, but also of correct configuration of access rights, use of multi-factor authentication, and API protection. Often, it is the human factor and incorrect configuration that cause losses, rather than problems with the provider. Therefore, before starting the migration, you should involve cybersecurity specialists or choose specialized cloud services that comply with industry standards — ISO 27001, GDPR, PCI DSS.

Equally important is the issue of data integrity and compliance. If a company operates in the healthcare, finance, or public sector, there may be regulatory restrictions on where data is stored or how it is accessed. In this case, a cloud service that provides local resources (e.g., Ukrainian data centers) is selected, or a hybrid model with clear data separation is built.

Finally, it is worth having a contingency plan — that is, a scenario for exiting the cloud or changing providers. This does not mean that you have to implement it, but a clear understanding of how to return the system to local resources or transfer it to another provider is a critically important element of long-term stability. A reliable partner among cloud services not only allows you to enter the ecosystem, but also leaves the exit open.

Specialized cloud services: when general solutions are no longer suitable

At a certain point in a company's development, general public cloud services may prove insufficient. The reasons vary: complex industry specifics, special security requirements, delays, or integration with established systems. In such cases, specialized cloud services come to the fore — solutions that are tailored to specific industries or use cases.

An example is clouds for the financial sector, which comply with PCI DSS standards and have ready-made tools for reporting, transaction protection, and built-in analytics. Such services often provide extended support, SLAs with high availability guarantees, and integration with specialized systems — for example, Core Banking or payment gateways. This takes the load off internal IT teams and allows them to focus on business products.

Another example is medical institutions that need to store and process personalized patient data.

Such services must comply with HIPAA or local requirements for the protection of medical information. In this case, a cloud service is chosen that not only technically complies with standards but also has experience in supporting healthcare projects. In the Ukrainian context, specialized cloud services for the public sector and CSI requirements are important. This is not only about technical compliance, but also about certified processes for processing, logging, and access management. Reliable local providers offer such solutions in accordance with Ukrainian legislation.

There are also cloud services for businesses that are focused on IT companies — platforms for DevOps, machine learning, and working with big data. They include ready-made tools for CI/CD, GPU resources, managed databases, and APIs for quick integration. The key advantage here is the speed of project launch and the ability to focus on development rather than building infrastructure from scratch.

Bottom line: if your business has clearly defined regulatory requirements or technical complexity, a specialized cloud allows you to work in an environment that takes your realities into account without having to compromise. It is more expensive than publicly available solutions, but in the long run, it is safer, more efficient, and more reliable.

How to choose a cloud service?

When choosing a cloud service, a company should be guided not by advertising slogans, but by its own development strategy. The first step is to define priorities: is the main thing the price, the speed of deployment, or compliance with security standards? Ideally, the decision should be made at the CIO or CTO level in conjunction with business line managers to take into account both technical parameters and the impact on customers, teams, and processes.

Next, you need to compare cloud services based on a number of key criteria. This includes the geography of data centers, compliance with certificates (ISO, CSI, GDPR), scalability flexibility, pricing transparency, and technical support localization. It is also important to consider the possibility of integration with existing systems, the availability of open APIs, and support for multi-cloud architecture.

When evaluating cloud service models, pay attention to the level of responsibility between the client and the provider. If your team has DevOps experience and needs full control, the IaaS model is suitable. If it is important to minimize infrastructure tasks, it is better to choose SaaS or specialized solutions. Remember that there is no one-size-fits-all option — the choice depends on the context of your business.

You should also evaluate not only the technical side, but also the strategic side — can you scale without completely redesigning the architecture, how quickly can you change providers, is it possible to build a hybrid model? The answers to these questions will help you avoid the pitfalls of using cloud services, including vendor lock-in situations.

Finally, the best way to choose a cloud is to test it in action. Launching a pilot project or Proof of Concept allows you to check compatibility, evaluate the level of support, and understand the strengths and weaknesses. Only then can you move on to large-scale integration, knowing that the chosen cloud service truly meets your business objectives.

In any case, it is worth asking yourself the following questions: Is it possible to change the scale of the cloud without rebuilding the architecture? Is there support for multi-cloud? Is the provider open to integrations? The more flexible the partner, the less risk there is that you will have to start from scratch in a year. Moving to the cloud is not just about purchasing a service, but first and foremost about building a long-term partnership. Choosing a cloud is like choosing a platform for business development. This choice will determine not only the efficiency of IT spending, but also the pace of innovation, flexibility of adaptation, level of security, and user satisfaction. That is why the decision must be made with a full understanding of what you will get, what you are signing up for, and what you will be able to change tomorrow.