Top Infrastructure-as-a-Service Solutions 2024

Infrastructure as a Service (IaaS) is a solution that provides businesses with virtual solutions, including cloud storage, computing power, and network infrastructure. IaaS helps businesses avoid the cost and complexity of buying and maintaining in-house physical servers and other hardware. Furthermore, this concept enables companies to rapidly expand their operations, adapt to market shifts and implement large-scale projects that would be challenging to execute with local infrastructure.

The global Infrastructure-as-a-Service (IaaS) industry is experiencing a period of significant growth, driven by a number of factors. These include an increasing demand for big data analytics, the creation of new business channels by small and medium-sized businesses (SMBs), lower costs and the ease of launching new projects. Let us take a look at a few of the most popular IaaS solutions for businesses.

Virtual servers

This is a key area of Infrastructure-as-a-Service. Virtual servers are virtual instances of physical servers that are created and managed by the cloud provider. They enable users to rent access to computing resources (CPU, RAM, storage, etc.) without the need to purchase and maintain physical hardware.

One of the main benefits of virtual servers is their scalability. Users can easily scale up or down the amount of resources depending on current needs and workload. For instance, during periods of increased activity, such as holiday sales or a new product launch, a company can rapidly expand server capacity to ensure a website or application remains operational.

Virtual servers also help reduce IT infrastructure costs. Instead of investing in and maintaining in-house equipment, companies can rent only the resources they actually need. This reduces the initial outlay and streamlines budgeting, as payment is made for the resources consumed.

Furthermore, virtual servers offer flexibility and mobility. Users can access their servers from any location with internet access. This is particularly beneficial for remote work and geographically distributed teams.

Virtual servers are a widely used solution across all industries. For instance, in the field of internet business, they are used for hosting websites, applications and databases. In the financial sector, for transaction processing and data analytics. In the education sector, virtual servers enable the creation of virtual classrooms and the storage of educational materials.

In summary, virtual servers represent a highly effective tool for businesses seeking flexibility, scalability and efficiency in resource utilization. They help companies adapt to changing needs and remain competitive in the fast-changing digital world.

Data Storage

This service provides companies with the ability to store, process and manage data in the cloud, eliminating the need to deploy in-house physical infrastructure. Companies can rent access to centralized and scalable data storage via the internet. The storage can be scaled to accommodate varying volumes and types of data.

Cloud storage can be utilized for a multitude of purposes. The following examples illustrate the potential applications of cloud storage:

• Data processing and storage. Cloud storage is used by companies to store a wide range of information, including files, databases, multimedia content, and more. This enables them to manage and process vast quantities of data without the need for physical hardware and infrastructure management.

• Backup and recovery. Cloud storage provides a reliable mechanism for backing up and restoring data in the event of a disaster. This enables companies to guarantee the security and integrity of their data and minimize the risk of information loss.

• Collaboration and file sharing. A number of cloud storage services offer tools to facilitate collaboration on documents and file sharing between employees and partners. This enables improved communication and collaboration within the company and with external parties.

• Storage of analytical data. In the field of data analytics and business intelligence, cloud storage is an effective solution for storing and processing large amounts of structured and unstructured data. This enables companies to analyze data, identify trends and make informed decisions based on the data.

• Application and virtual machine storage. Some companies utilize cloud storage to store applications and virtual machines that can be started and used when necessary. This enables them to optimize resource usage as well as save the cost of maintaining and supporting their own infrastructure.

In general, cloud storage is a powerful business tool that provides reliable, flexible and scalable data storage. The service helps businesses to efficiently manage data, ensure its security and availability, and use it for commercial and other purposes.

GPU computing

Servers powered by graphics processing units (GPUs) are widely used in a variety of compute-intensive, parallel processing and data-intensive applications. The following are examples of applications where GPU servers are used:

• Processing of graphics and video content. GPU servers are used by game development, animation, data visualisation and media content companies to process and render graphics and video. This enables them to create high-quality, realistic visual effects and accelerate content creation and processing.

• Scientific and technical computing. GPU servers are used by research and science and technology companies to perform complex mathematical calculations, modelling, data analysis and simulations. GPUs are designed for high-performance parallel processing, making them an ideal choice for handling large amounts of data and complex computational tasks.

• Machine Learning and Artificial Intelligence. In the field of ML and AI, GPU servers are an essential component for the training and processing of models. GPUs offer high processing power and the ability to process large amounts of data in parallel, which accelerates model training and improves performance.

• Financial analytical computing. In the field of finance, GPU servers can be utilized for market forecasting, data analysis and optimizing financial strategies. GPUs provide rapid processing speeds, enabling companies to respond swiftly to market changes and make well-informed decisions.

Cloud vGPU is a highly effective tool for carrying out a wide range of calculations, processing data and developing new technologies. Whether it is space exploration, discovering new medicines, economic forecasting, modelling and rendering, this technology makes many important tasks possible.

Network Equipment

The network equipment offered by the cloud provider provides flexibility and convenience in managing network resources, including routers, switches, firewalls and other equipment needed to build and maintain corporate networks. Load balancers and solutions designed to protect the infrastructure from external threats are particularly popular.

Load balancers distribute incoming network traffic across multiple servers or resources, balancing the load and improving network performance. They ensure high service availability by redirecting traffic from failed servers to up and running servers, preventing downtime and outages.

DDoS protection analyses incoming traffic and blocks suspicious requests or attack sources. The service enables organisations to continue operations in the face of an attack, ensuring business continuity and protecting against loss of revenue and reputation.

Furthermore, there are traffic encryption solutions to protect the company from leaks.

Cloud FZ-152

The FZ-152 cloud is a special cloud platform that meets the requirements of Russian law on personal data protection.

The secure cloud circuit enables companies to handle and store the personal data of Russian citizens safely and securely. The platform employs a range of robust security measures, including encryption, access control and other safeguards, to protect users' sensitive data and guarantee the confidentiality and security of their personal information.

For instance, banks, insurance companies and other financial institutions can utilize the cloud under FZ-152 to securely store and process customers' personal data in accordance with legal requirements. Medical organizations can also use the cloud to store patients' medical data and comply with personal information protection requirements. State bodies use cloud services to process and store state data.