IT Operations Automation · Real-time Analytics
IBM's CIO Organization needed to replace a patchwork of third-party monitoring tools with a unified way to observe a vast global network, cut operating cost, and manage performance across thousands of devices and multiple regions without increasing operational complexity.
Reported impact
IBM reduced third-party monitoring spend by millions, simplified network operations, improved proactive performance management, and gave teams a much more scalable way to observe the enterprise network.
IBM's CIO Organization standardized network observability on IBM SevOne to replace multiple legacy monitoring tools and manage a globally distributed network estate from one platform. The rollout took place in IBM's virtualized environment and required a staged migration of device inventories spread across many regions. Once deployed, SevOne became the shared layer for collecting telemetry, surfacing metrics and applying predictive analytics across 20,328 devices, 251 wireless LAN controllers, 12,472 wireless access points and roughly 20 million flows per minute. The platform's dashboards and indicators gave network teams a unified operating view instead of fragmented tool silos, while its predictive capabilities helped them identify performance issues before they escalated. IBM also worked closely with the SevOne team to refine metrics and dashboards over time, turning observability into a reusable operating capability rather than a one-time tool replacement.
Telemetry and flow data from IBM's network devices, wireless controllers, and access points is fed into SevOne, where metrics and predictive analytics are consolidated into shared dashboards that operations teams use to monitor performance and troubleshoot issues across regions.
"20 million flows per minute"
"20,328 devices monitored"
"SevOne provided us with a 'candy store' of metrics and indicators"
"The ability to proactively monitor and predict network performance has been a game-changer for us."
"using third-party network monitoring tools led to increased costs and operational complexity"
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