Across Africa, digital services are now at the centre of economic activity. Banking platforms, mobile networks, cloud applications and enterprise systems all depend on data centres that must operate without interruption. When a facility goes offline, the impact is immediate. Transactions fail, operations stall, and customers lose confidence. For data centre operators, uptime is not just a technical metric – it directly affects revenue, service delivery and reputation. According to Herman Mare, General Manager: Protection and Control at ACTOM, the stakes have never been higher.
“Every digital service people rely on today ultimately runs through a data centre,” he says. “When something goes wrong at that level, the ripple effects move through the entire business ecosystem.”
Why downtime hurts
Running a data centre in Africa brings its own set of challenges. Power grids can be unpredictable; voltage fluctuations are common, and environmental factors such as heat and dust place additional stress on electrical infrastructure.
Critical assets, including transformers, medium-voltage switchgear, protection relays and distribution systems, operate under heavy load and must perform continuously. “Electrical infrastructure inside a data centre carries enormous responsibility,” explains Clinton Vieira, Business Development: Data Centres for Sub-Saharan Africa at ACTOM. “If one part of that chain fails, it can quickly affect other systems and potentially the entire facility.”
Traditional maintenance strategies struggle to keep up with these realities. Reactive maintenance only addresses problems after equipment fails, while time-based servicing assumes wear occurs at predictable intervals.
“In environments where operating conditions change constantly, fixed maintenance schedules don’t always reflect what is actually happening inside the equipment,” Mare notes.
A smarter way to maintain critical infrastructure
Predictive maintenance offers a different approach. Rather than waiting for failures, operators monitor equipment conditions in real time to detect early warning signs. Sensors continuously track factors such as temperature, vibration, load levels and insulation health. When measurements begin to drift outside safe operating ranges, alerts allow engineers to investigate and intervene before performance is affected.
“Predictive maintenance shifts maintenance from guesswork to evidence,” says Vieira. “Instead of reacting to breakdowns, operators can act on real data and deal with issues before they escalate.”
The shift also changes how maintenance teams work. By scheduling repairs proactively rather than reacting to emergencies, organisations can ease the strain on staff and systems while maintaining efficiency.
Visibility across complex environments
One of the biggest advantages of predictive maintenance is visibility. Real-time monitoring provides insight into how equipment behaves under actual operating conditions, rather than relying only on periodic inspections. In many African markets, specialist technical expertise may be located far from the data centre itself. Remote monitoring allows engineers to analyse trends, assess risks and support on-site teams without delay.
“Data gives operators a much clearer picture of what’s happening across the electrical network,” Mare says. “It allows decisions to be based on facts rather than assumptions.”
Automation further strengthens these capabilities. Intelligent systems can trigger alerts, isolate components or redistribute loads before a developing fault causes wider disruption.
Protecting assets and controlling costs
Data centre electrical infrastructure represents a major capital investment. Transformers, switchgear and protection systems are expensive assets that must operate reliably over long lifecycles. Predictive maintenance helps safeguard these assets by ensuring equipment remains within safe operating limits. Early detection of anomalies prevents small issues from evolving into costly failures.
“From a financial perspective, the benefits are significant,” Vieira explains. “Operators reduce emergency repair costs, extend the lifespan of critical equipment and gain better control over maintenance budgets.”
Preparing for Africa’s digital growth
Demand for digital services across Africa continues to accelerate. Cloud adoption is increasing; enterprises are moving critical systems online, and data-intensive technologies such as artificial intelligence are driving higher computing requirements.
For data centre operators, scaling infrastructure while maintaining reliability is becoming a central challenge.
“Growth in the digital economy means data centres must expand rapidly, but reliability cannot be compromised,” Mare says. “Predictive maintenance gives operators the confidence to grow while keeping systems stable.”
Reliability that supports the digital economy
As Africa’s digital infrastructure expands, the importance of reliable data centres will only increase. Predictive maintenance, supported by real-time monitoring and intelligent automation, allows operators to move from reactive problem-solving to proactive reliability management.
“Predictive maintenance is about creating certainty,” Vieira concludes. “It allows operators to anticipate problems, protect critical infrastructure and keep the services that businesses rely on running smoothly.”
