The business need
Cisco IT network engineers needed to embrace AI and automation to manage their vast and complex network of over 200,000 devices in order to reduce errors, improve troubleshooting and accelerate issue resolution, as reactive network monitoring was no longer sufficient.
Challenge
As networks continue to grow in scale and complexity, Cisco’s IT team was encountering challenges in managing, scaling and gaining clear visibility into the state of their network.
- Networks are increasingly complex and distributed, making traditional network management methods insufficient.
- Manual, repetitive toil tasks consume valuable engineering time and limit scalability.
- Telemetry data often lacks enough context to provide engineers with meaningful insights into the state and performance of the network.
Solution
Cisco IT implemented Catalyst Centre automation and AI-driven analytics into their operations, alongside Splunk Enterprise, to streamline operations, simplify troubleshooting and provide comprehensive network visibility.
Proactive monitoring
Ongoing AI analysis of Cisco telemetry data proactively notifies network engineers of performance issues, reducing Mean Time to Detect (MTTD) to 41 seconds.
Enhanced visibility
Ingesting Cisco data into Splunk Enterprise allows for visualisation of both real-time and historical network insights.
Simplified IT experience
Automation can reduce human error, enhance security with consistent configurations and save time – enabling engineers to focus on more complex network issues.
Frictionless user experience
Cisco Catalyst Centre provides deep network visibility and AI-driven insights to ensure consistent, optimal user experiences, anywhere they work.
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