In the blink of an eye, AI has undergone transformations from AI/ML, GenAI to Agentic AI at unprecedented speed. Enterprise IT is struggling to keep up with day-day-day operations while fulfilling the mandate to support new protocols like model context protocol (MCP) with enterprise readiness. Legacy load balancers cannot adapt to increasing operational efficiency needs and hardware costs. It requires a drastically different approach to modern application delivery and security. Join this webinar to learn how VMware Avi Load Balancer provides the software-defined, distributed architecture needed to maximize performance, resiliency and efficiency for VMware Cloud Foundation (VCF) private cloud.
Key Takeaways:
- Operational Efficiency with GenAI: Shift from reactive troubleshooting to proactive operations and discover how AI Assistant for Avi translates telemetry into actionable insights, helps triaging issues faster and reduces MTTR.
- CapEx Reduction with Performance Improvements: Replace costly legacy hardware with a software-defined, elastic platform with scale-out throughput boosted by up to 88% (up to 12.25Tbps per controller instance).
- Imperative for MCP: Ensure deeper visibility and reliable session persistence for modern AI communication protocols with plug-n-play VCF integration.
- Web Application Security for AI: Defend against evolving threats like remote code execution (RCE) and OS command injection by extending web application firewall (WAF) and API protection directly to MCP.
- Strengthened AI Guardrails: Secure your AI ecosystem with context-aware visibility and role-based access control (RBAC) via JSON Web Token (JWT) authentication across all MCP Servers, tools and agentic AI workloads.
Don't forget to register for Part 1 and Part 3 of the series!