Technology

Visibility gaps and fragmented data made it difficult for Cisco IT to minimize 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 optimization: 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, centralize data, and advance AIOps capabilities. 

• Splunk: Centralizes 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: Centralized observability data feeds our various AI systems to significantly improve efficiency, including predicting incident assignments, suggesting resolution steps, and automating alert remediation.