Hybrid Cloud Computing: Architecture, Benefits, and Use Cases

A hypervisor is a process that helps separate the operating system and running applications from the hardware component. This typically refers to specialized software. However, embedded hypervisors also exist. These are available from the start, rather than being launched after system deployment. The hypervisor is what enables the development of the virtualization concept. Hardware virtualization is the ability to manage multiple virtual machines (VMs) on a single device. They become guest systems. An example of virtualization in use is renting a virtual server from a hosting provider. Multiple isolated spaces are located on one device. Different software can be installed on them. This increases resource utilization efficiency. Memory, computing power, and bandwidth are distributed among virtual servers rather than sitting idle waiting for load. Virtualization is not limited to servers. Storage hypervisors use it for data storage. They run on physical hardware as VMs, within the system, or in another storage network. Hypervisors also help virtualize desktops and individual applications. History of the Hypervisor Virtualization began being used in the 1960s. For the most part, the virtualization environment was applied to IBM mainframes. Developers used it to test ideas and to study and refine hardware concepts. This made it possible to deploy systems and fix errors without threats to the stability of the primary equipment. At the beginning of the new millennium, virtualization received a powerful boost thanks to widespread adoption in Unix family operating systems. There were several reasons for mass distribution: Server hardware capabilities improved. Architecture refinement led to increased reliability and security. Developers began implementing hardware virtualization on processors based on x86 architecture. This led to mass adoption. Since then, virtualization systems have been used not only for solving complex engineering tasks, but also for simple resource sharing and even home entertainment. In recent years, virtualization has expanded beyond x86 to ARM-based processors, with solutions like Apple's Virtualization framework and AWS Graviton instances becoming increasingly common. Advantages of Hypervisors Although virtual machines run on a single device, logical boundaries are built between them. This isolation protects against threats. If one virtual machine fails, others continue to operate. Another huge advantage is mobility. VMs are independent of hardware. Want to migrate an environment to another server? No problem. Need to deploy a VM on a local computer? Also a simple task. Less connection to hardware means fewer dependencies. Finally, resource savings. A hosting provider manages equipment more rationally by providing one physical server to multiple clients. Machines don't sit idle, but bring benefit with all their capabilities. Clients don't overpay for physical equipment while simultaneously gaining the ability to scale quickly and conveniently if such a need arises. Types of Hypervisors There are two types of hypervisors, concisely named Type 1 and Type 2. TYPE 1: bare-metal hypervisors. They run on the computer's hardware. From there, they manage the equipment and guest systems. This type of virtualization is offered by Xen, Microsoft Hyper-V, Oracle VM Server, and VMware ESXi. Modern cloud providers also use specialized Type 1 hypervisors like AWS Nitro and KVM-based solutions. TYPE 2: hosted hypervisors. They operate within the system as regular programs. Virtual systems in this case appear in the main system as processes. Examples include VirtualBox, VMware Workstation, VMware Player, and Parallels Desktop. To increase the stability, security, and performance of hypervisors, developers combine features of both types, creating hybrid solutions. They work both on "bare metal" and using the host's main system. Examples include recent versions of Xen and Hyper-V. The boundaries between bare-metal and hosted hypervisors are gradually blurring. However, it's still possible to determine the type. Though there's usually no practical need for this. Hypervisor Comparison Virtualization types are not the only difference. Hypervisors solve different tasks, have different hardware requirements, and have licensing peculiarities. Hyper-V A free hypervisor for servers running Windows OS. Its features: No graphical interface; configuration and debugging must be done in the console. Licenses must be purchased for all VMs running Windows. No technical support, although updates are released regularly. Hyper-V uses encryption to protect virtual machines and also allows reducing and expanding disk space. Among the disadvantages: there's no USB Redirection needed for connecting USB devices to virtual hosts. Instead, Discrete Device Assignment is used, which is not a complete replacement. VMware VMware is a virtualization technology created by the American company of the same name. It's used to organize virtual server operations. In 2024, Broadcom acquired VMware and introduced significant changes to licensing models and product portfolios, shifting focus toward larger enterprise customers. Many know about ESXi, a hardware hypervisor built on a lightweight Linux kernel called VMkernel. It contains all the necessary virtualization tools. A license must be purchased for each physical processor to operate. The amount of RAM and how many virtual machines you plan to run on your equipment doesn't matter. Note that under Broadcom's ownership, licensing models have evolved, with many standalone products being bundled into subscription packages. VMware has free virtualization tools. However, their capabilities are insufficient for professional use. For example, the API works in read-only mode, and the number of vCPUs must not exceed eight. Additionally, there are no backup management tools.  VMware Workstation The VMware Workstation hypervisor was created in 1999. Now it's a virtualization tool for x86-64 computers with Windows and Linux. The hypervisor supports over two hundred guest operating systems. VMware Hypervisor has a free version with reduced functionality, typically used for familiarization and testing. In 2024, Broadcom made VMware Workstation Pro free for personal use, making it more accessible to individual users and developers. KVM An open-source tool designed for Linux/x86-based servers. Intel-VT and AMD-V extensions are also supported, and ARM virtualization extensions are increasingly common. The KVM hypervisor is quite popular. It's used in many network projects: financial services, transportation systems, and even in the government sector. KVM is integrated into the Linux kernel, so it runs quickly. Major cloud providers use KVM as the foundation for their virtualization infrastructure. However, some disadvantages remain. Built-in services are not comparable in functionality to other hypervisors' solutions. To add capabilities, third-party solutions must be used, such as SolusVM or more modern management platforms like Proxmox VE. KVM is being refined by a community of independent developers, so gradually there are fewer shortcomings in its operation. The quality of the hypervisor is confirmed by hosting providers who choose it for virtualization on their equipment. Xen Xen is a cross-platform hypervisor solution that supports hardware virtualization and paravirtualization. It features minimal code volume. Modules are used to expand functionality. Open source code allows any specialist to modify Xen for their needs. Oracle VM VirtualBox Oracle VM VirtualBox is a cross-platform hypervisor for Windows, Linux, macOS, and other systems.  It is one of the most popular hypervisors, especially in the mass market segment. This is partly because VM VirtualBox has open source code. The program is distributed under the GNU GPL license. A distinctive feature: VirtualBox offers broad compatibility across different host and guest operating system combinations, making it ideal for development and testing environments. Hypervisors vs. Containers Hypervisors are often contrasted with containers. They allow deploying a greater number of applications on a single device. You already know what a hypervisor is and how it works. The problem is that VMs consume many resources. To operate, you need to make a copy of the operating system, plus a complete copy of the equipment for this system to function. If you allocate a nominal 4 GB of RAM to a VM, then the main device will have 4 GB less RAM. Unlike VMs, a container only uses the operating system's resources. It also needs power to run a specific application. But much less is required than to run an entire OS. However, containers cannot completely replace VMs. This is partly due to the increased risk of losing all data. Containers are located inside the operating system. If the host is attacked, all containers can be damaged or lost. A virtualization server creates multiple virtual machines. They don't interact with each other; there are clear boundaries between them. If one machine is attacked, the others remain safe. Along with all their contents. In modern infrastructure, containers and VMs are often used together. Container orchestration platforms like Kubernetes typically run on virtual machines, combining the isolation benefits of VMs with the efficiency of containers. This hybrid approach has become the standard for cloud-native applications. Security Issues Hypervisors are more secure than containers. However, they still have problems. Theoretically, it's possible to create a rootkit and malicious application that installs itself disguised as a hypervisor. Such a hack is called hyperjacking. It's difficult to detect. Protection doesn't trigger because the malicious software is already installed and intercepts system actions. The system continues to work, and the user doesn't even suspect there are problems. To protect the system from rootkits, specialists are developing various approaches that protect it without negatively affecting performance. Modern processors include hardware-based security features like Intel TXT and AMD Secure Encrypted Virtualization to help prevent hypervisor-level attacks. How to Choose a Hypervisor The choice is vast: VMware or VirtualBox, Hyper-V or KVM. There's one universal recommendation: focus on the tasks. If you need to test an operating system in a virtual machine on a home computer, VirtualBox will suffice. If you're looking for a solution to organize a corporate-level server network, then the focus shifts toward VMware tools (keeping in mind recent licensing changes), KVM-based solutions like Proxmox, or cloud-native options. For cloud deployments, consider managed hypervisor solutions from providers like Hostman, AWS, Azure, or Google Cloud, which abstract away much of the complexity while providing enterprise-grade performance and security.

Information security refers to various methods of protecting information from outsiders. That is, from everyone who should not have access to it. For example, a marketer typically has no reason to view the company's financial statements, and an accountant doesn't need to see internal documents from the development department. Before the era of universal digitization, it was mainly paper documents that needed protection. They were hidden in safes, secret messages were encrypted, and information was transmitted through trusted people. Today, computer security is the foundation of any business. InfoSec Principles Information security protection is based on three principles: availability, integrity, and confidentiality. Confidentiality: data is received only by those who have the right to it. For example, application mockups are stored in Figma, with access limited to designers and the product manager. Integrity: data is stored in full and is not changed without permission from authorized persons. Suppose there's code in a private repository. If an unauthorized person gains access to the repository and deletes part of the project, this violates integrity. Availability: if an employee has the right to access information, they receive it. For example, every employee can access their email. But if the email service is attacked and made unavailable, employees won't be able to use it. Adhering to these principles helps achieve the goal of information security: to reduce the likelihood of or eliminate unauthorized access, modification, distribution, and deletion of data.  Many companies also adopt a zero-trust security approach that assumes no user or system should be trusted by default. This reinforces all three principles by requiring continuous verification. What Information Needs Protection Understanding what data should be protected is what information security in a company depends on. Information can be publicly accessible or confidential. Publicly accessible: this data can be viewed by anyone. Confidential: available only to specific users. At first glance, it seems that information security measures don't apply to publicly accessible information, but this isn't true. Only the principle of confidentiality doesn't apply to it. Publicly accessible data must remain integral and, logically, available. For example, a user's page on a social network. It contains publicly accessible information. The social network ensures its availability and integrity. If the user hasn't changed privacy settings, anyone can view their page. But they cannot change anything on it. At the same time, the account owner can configure confidentiality, for instance, hide their friends, groups they're subscribed to, and musical interests. Confidential information also comes in different types. These can be: Personal user data. Trade secrets: information about how the company operates and what projects it conducts and how. Professional secrets, which must be kept by doctors, lawyers, notaries, and representatives of certain other professions. Official secrets: for example, pension fund data, tax inspection information, banking details. State secrets: intelligence information, data on economic conditions, foreign policy, science and technology. This is not an exhaustive list, but rather an attempt to show how much data needs information security measures applied to it. Possible Threats The enormous list of potential threats is usually divided into four types: Natural: for example, hurricanes or floods. Man-made: phenomena related to human activity. They can be unintentional (employee error) or intentional (hacker attack). Internal: threats that originate from within the system, such as from employees. External: threats that originate from other sources, such as attacks by competitors. With the mass adoption of remote work formats, the number of man-made threats, both external and internal, intentional and unintentional, has noticeably increased. Because of this, the workload on information security specialists has grown. Today's threat environment includes several increasingly prevalent attack vectors: Ransomware attacks: malicious software that encrypts company data and demands payment for its release. These attacks have become more sophisticated and targeted, often crippling entire organizations. Supply chain attacks: compromising software or hardware providers to gain access to their customers' systems. Attackers exploit trust relationships between organizations and their vendors. AI-powered threats: artificial intelligence is being used to create more convincing phishing campaigns, generate deepfakes for social engineering attacks, and automate vulnerability discovery. At the same time, AI is also being deployed defensively to detect and respond to threats faster. Social engineering and deepfakes: attackers use AI-generated audio and video to impersonate executives or trusted individuals, making fraudulent requests appear legitimate. Protection Measures Organizational information protection measures are implemented at several control levels. Administrative: the formation of standards, procedures, and protection principles. For example, developing a corporate security policy. At this level, it's important to understand what data you will protect and how. Logical: protection of access to software and information systems. At this control level, access rights are configured, passwords are set, and secure networks and firewalls are configured. Physical: at this level, physical infrastructure is controlled. This refers not only to access to equipment, but also to protection from fires, floods, and other emergency situations. Despite digitization, physical information protection remains no less important. Antivirus software and access rights separation won't help if attackers gain physical access to the server. They won't save you in case of an emergency either. To eliminate such problems, Hostman uses infrastructure in protected data centers.

What is a cloud? It’s virtualized server resources: RAM, processor power, disk space, and installed applications. The main advantage of the cloud-based approach to infrastructure is flexibility. If you need more performance, you can easily add memory or connect additional processing power when the load increases. Difference Between Private, Public, and Hybrid Clouds Below is the standard classification of cloud services: Private Cloud: The infrastructure is used by only one organization. The equipment can be located either at the provider’s site or on the user’s premises. Public Cloud: The infrastructure is shared by all registered users. Examples include Amazon Web Services, Microsoft Azure, and Hostman. Hybrid Cloud: A combination of private and public infrastructure. Part of the equipment may be located with the user, and part with the provider. From this classification, it’s clear that hybrid clouds are a compromise solution. However, using them isn’t always justified. To understand this better, let’s compare all three types across several parameters. Comparison Table Parameter Private Public Hybrid Complexity High level of complexity. Requires selecting equipment and developing architecture. Low level of complexity. You choose a suitable service and pay for it. High level of complexity. You need to configure the private part and connect it with the external infrastructure. Cost Expenses are borne by the owner of the equipment and licenses. Expenses are borne by the provider; the user pays a service fee. Expenses are partly on the user, partly on the provider. Maintenance The organization must monitor the system and fix failures itself. The provider manages the infrastructure. The organization must monitor its private part. Scalability Additional resources must be purchased and configured manually. Additional resources are available on demand. Additional resources are available on demand. Security High, as everything is under the owner’s control. Lower level of control; many security aspects remain the provider’s responsibility. High level of security with proper architecture, when all critical nodes are located in the private cloud. Private Cloud Advantages and Disadvantages The comparison table above clearly shows the pros and cons of private clouds. Let’s look at them in more detail. Advantages: Physical access to the equipment usually remains only with the owner. It’s also possible to limit internet connections to prevent unauthorized data access. You can save on physical equipment by investing in the development of a virtual infrastructure instead. Flexible configuration of resources and computing power for different departments within the company. Disadvantages: Requires significant financial investment: you can’t build it without purchasing or renting equipment. System design and deployment take a lot of time. Scalability is limited by the available physical resources. If more capacity is needed, new equipment must be purchased. When to Create a Private Cloud Now that we understand what a private cloud is and what its pros and cons are, let’s figure out when companies choose this approach. The main scenario comes from how a private cloud operates. Large organizations often have enough resources to purchase equipment, design a well-thought-out architecture, and fund teams of specialists to maintain the system. Such companies also tend to handle large volumes of data that require a high level of security. Based on this scenario, the main users of private clouds are: Mobile network operators Banks Insurance companies Gas and oil enterprises Retail companies The types of data that companies host in their private cloud environments can vary, but they generally fall into two main categories: Confidential or proprietary information, for which the organization must retain full control. Security policies or internal regulations may prohibit the use of public cloud servers, leaving private infrastructure as the only viable option. Data governed by strict legal or industry-specific compliance requirements. For instance, certain privacy laws or standards (such as GDPR, HIPAA, or PCI DSS) require data to be stored in secure, controlled environments or within specific jurisdictions. In such cases, a private cloud is often the most suitable solution. It provides greater control over security and compliance, reduces regulatory risks, and allows for certification under relevant industry standards. Moreover, if the company later needs to expand its infrastructure to store or process less sensitive data, it can integrate a public cloud and adopt a hybrid model, combining flexibility with strong data protection.