For many IT teams, the promise of data-driven operations is drowned out by “alert fatigue.” Organizations still relying on legacy tools—the “Nagios era” of reactive polling—struggle with today’s cloud-hybrid scale. This fragmented tool sprawl creates visibility gaps that compel teams to spend more time stitching together logs than solving problems.
Relying on simple network management protocol (SNMP) for periodic check-ups is no longer enough. Just as wearable biosensors revolutionized healthcare by providing real-time, holistic insights, the next evolution of network operations provides continuous, unified visibility. Our objective is to shift from reactive monitoring to proactive, data-driven action—by treating the network as a sensor.
Embracing the network as a sensor
The network is a critical source of operational intelligence. By leveraging rich data sets and advanced protocols, we can eliminate data gaps and gain visibility, not just into the network, but into the applications and user experiences that define modern service delivery.
To help organizations bridge this gap and move toward AgenticOps, we’re evolving our portfolio. As part of the Meraki offering within Cisco Cloud Control, we’re driving innovations to help you consolidate your stack and move toward AgenticOps. Here’s how we’re doing it:
- Model-driven telemetry (MDT): When you deploy Cisco switches, wireless controllers, routers, or access points, they establish a push-and-subscribe model wherein the network device continuously streams telemetry and NetFlow data to the management platform. This high-fidelity data allows us to apply machine learning and AI to automate operations and predictive maintenance.
- Comprehensive visibility: We recognize that many environments include non-Cisco equipment. To ensure end-to-end visibility, we provide support for SNMP/MIB-2 compatible devices, allowing for a unified view even in heterogeneous environments.
- AI-driven assurance: Traditional monitoring reports if a device is “up,” but assurance confirms if the application is performing for the user. Cisco Assurance simulates traffic across your entire infrastructure to pinpoint fault domains—private, public, or cloud—enabling your team to resolve issues with greater speed and confidence.
By pivoting to this AI-powered approach, we move beyond simple SNMP-based interface statistics to active service assurance, ensuring that the network remains a high-performance platform for users and applications alike.
Reducing MTTR through integrated intelligence
This cross-domain unified platform cuts through the noise of tool sprawl. The presence of too many tools creates silos; each tool requires time to investigate and often only provides visibility into limited domains.
By integrating multiple domains and providing context, Cisco Cloud Control helps you do more than just measure application or user experience—it helps you evaluate the size of the impact. This significantly simplifies the troubleshooting process across domains and, consequently, has a major impact on reducing mean time to resolution (MTTR).
Looking ahead: From visibility to AgenticOps
As organizations adopt AI-powered solutions, success will depend on having rich, real-time telemetry and a unified view across domains.
The network has evolved from a simple transport layer into a critical source of operational intelligence that helps you diagnose issues, fix them faster, validate outcomes, and continuously optimize environments.
For customers looking at tool consolidation, operational simplicity, and the adoption of advanced AI capabilities, we invite you to explore Meraki in Cisco Cloud Control.
Whether you are managing cloud or on-premises offerings with the Meraki dashboard or Catalyst Center, Cisco now offers Global Overview capabilities, bringing visibility of your entire estate into a single, cloud-based platform.