Technology

Visibility gaps and fragmented data made it difficult for Cisco IT to minimise disruptions in the face of rapid innovation and frequent IT environment changes.

• Fragmented data: Massive volumes of diverse telemetry data were monitored across siloed tools and dashboards, creating visibility gaps and making it difficult to correlate data for actionable insights. 
• Rapidly changing IT environments: Frequent changes driven by fast-paced innovation led to increased incidents and service disruptions. 
• Resource optimisation: Engineers struggled to manage growing IT and data complexity, while keeping pace with accelerated innovation.

Cisco IT evolved their observability strategy to deliver end-to-end visibility, centralise data and advance AIOps capabilities.

• Splunk: Centralises observability data and performance metrics from our network, applications, services and infrastructure into a unified platform for full, real-time visibility, with ongoing integration of more data sources over time.
• ThousandEyes: Provides visibility into areas like performance and user experience across our network and external environments. 
• AI Operations: Centralised observability data feeds our various AI systems to significantly improve efficiency, including predicting incident assignments, suggesting resolution steps and automating alert remediation.