📅   December 3, 2025   I  Chesterfield, MO

Campus Lunch & Learn

 

Event Details

You are invited to join Arista for a Campus Lunch & Learn at Bishop's Post! We will be covering why legacy architectures struggle to meet the modern demands in a Campus network, how Arista's Cloud-Grade Architecture builds a superior foundation, and how Zero Trust and Cognitive Operations can be seamlessly integrated into the operator experience.

Events-time-date
December 3

11:30 AM - 1:30 PM CT

 

Events-location-map
Bishop's Post

16125 Chesterfield Pkwy W, Chesterfield, MO 63017

Agenda

11:30 AM - 1:30 PM
Agenda

Welcome & Introductions

  • Introduction of Arista team and a brief overview of the current challenges in campus networking

The Crisis of the Legacy Campus

  • Complexity & Fragility: The limitations of traditional approaches.
  • Security Blind Spots: The explosion of IoT/endpoints and the need to prevent lateral movement.
  • Challenge 3: Operational Burden: Disparate wired/wireless management and manual troubleshooting.

Arista's Cloud-Grade Architecture

  • Modern Design: Transitioning to a resilient Leaf-Spine (Spline) Fabric.
  • The Foundation: Leveraging Arista EOS for a single, consistent OS across Data Center and Campus.
  • Scalability & Resiliency: Simplified segmentation, mobility, and expandability.

Security & The Zero Trust Campus

  • Never Trust, Always Verify: Implementing Zero Trust principles at the edge.
  • Identity and Access: Introduction to Arista Guardian for Network Identity (AGNI) for automated device profiling and NAC integration.
  • Segmentation: Using Multi-Domain Segmentation Service (MSS) to create micro-perimeters and restrict lateral movement between user groups.

Cognitive Operations (CloudVision & AIOps)

  • Single Pane of Glass: Managing wired, wireless, and security from CloudVision.
  • Data-Driven Networking: Utilizing Real-Time Streaming Telemetry and the Network Data Lake (NetDL™).
  • Automation & Assurance: Achieving zero-touch provisioning, network-wide change control, and AIOps-driven root cause analysis to reduce Mean Time to Resolution (MTTR).

Q&A and Next Steps

  • Open discussion for questions and answers.

Register Today