Client context A global energy infrastructure provider operating across 30 countries faced escalating operational complexity. Its environment combined legacy on-prem systems, multiple public cloud platforms, and hundreds of connected edge sites tied to production assets. Despite significant investment in monitoring tools, the organisation struggled with alert noise, unplanned outages, and a lack of cohesive visibility across its hybrid infrastructure. Each incident required manual triage across different teams and tools, creating long response times and inconsistent recovery processes. The challenge On any given day, the company’s operations centre managed more than 25,000 alerts — yet fewer than five percent required action. Average recovery time per incident exceeded four hours, directly affecting logistics and supply chain reliability. The business could see the symptoms of disruption but not the underlying causes. What it needed was not another monitoring tool, but a way to connect signals to decisions — to transform fragmented data into proactive intelligence. ...
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