Russian Data Centers Are Moving to a Unified Management Platform
Russian IT infrastructure designer 3-BS and modular data center manufacturer GreenMDC have become technology partners. One of the key areas of cooperation is the development of an integrated data center infrastructure management system.
The companies' solutions draw on their hands-on experience delivering a joint project to build Russia's largest modular data center. Through the project, the partners gained experience operating an integrated infrastructure and identified bottlenecks that automation could help address.
GreenMDC's proprietary monitoring platform, GreenDCIM, which is deployed across all of the company's data centers, will be enhanced with 3S-KC (Rack Monitoring), a hardware-software system developed by 3-BS specialists. The system monitors a range of critical parameters, including physical access to equipment, power consumption by server racks and the data center as a whole. It also tracks temperature and humidity in both data halls and individual racks, as well as rack utilization.
In addition to its software, the 3S-KC system includes a range of hardware: temperature sensors, magnetic locks, reed switches, information displays, and power-consumption sensors. At its core is a controller manufactured in Russia and developed by 3-BS.
The partnership is expected to allow data center customers to receive turnkey facilities that come not only with server equipment installed but also with rack monitoring and infrastructure monitoring systems already integrated. This, in turn, can significantly reduce operating costs and improve equipment resilience. Users of data center services will notice improvements in the quality and reliability of digital services once the system is deployed.
Artificial Intelligence to Be Added to Data Center Development
3-BS and GreenMDC plan to develop a unified monitoring system in the near future. The new system will be an add-on module for GreenDCIM, extending its scope beyond engineering systems to cover network and computing equipment. The companies also plan to integrate AI components for predictive analytics. This will allow the platform not only to display data center status and alert operators to changes in critical parameters, but also to generate recommendations. These will include forecasts of where equipment could be installed based on available rack capacity, as well as analysis of rack operating patterns.
More broadly, partnerships of this kind between companies that design and build data centers have strong prospects in the domestic market. By mid-2026, commercial data centers in Russia had more than 70,000 rack positions, and the market is expected to grow by 15–20% in ruble terms by 2027. Russian solutions that have demonstrated their effectiveness could also find demand in friendly countries, where new data centers are being built at a rapid pace.
From Standalone Systems to Joint Development
The rapid growth of the data center market has also spurred the development of Russian monitoring solutions. In 2023, DATARK introduced its own system for centralized monitoring of data center engineering infrastructure. The DATACHECK SCADA system monitors power supply, uninterruptible power supplies (UPS), air conditioning, fire suppression, and other equipment.
In 2025, SDI Soft, a developer of software for data center infrastructure, and iTeaQ, an international provider of similar solutions, announced a strategic partnership. Under the agreement, SDI Basis will be used to automate data center management in projects undertaken in Russia by the Chinese company.
The partnership between 3-BS and GreenMDC is therefore part of an emerging trend in the development of this market for technology products.
Integration Is the Future
More collaborations among Russian companies operating in the data center market can be expected in the coming years. Given the high level of competition, ready-to-deploy solutions that combine data center infrastructure with management and analytics systems will have the strongest prospects. The goal should not be to assemble a collection of disconnected tools from different vendors, but to deliver a unified system with integrated AI capabilities.
