As Frontier AI and Agentic AI reshape the market, production-ready Kubernetes deployment and AI-ready private cloud infrastructure are mandatory. All applications — mission-critical VMs, dynamic Kubernetes services, or AI workloads — demand an elastic and secure application delivery solution. Traditional Ingress strategies fail to scale or protect modern application environments as traffic routing shifts toward Kubernetes Gateway APIs and intelligent AI Gateways. Discover how VMware Avi Load Balancer (Avi) helps you move beyond traditional Ingress by seamlessly integrating with vSphere Kubernetes Service (VKS) on VMware Cloud Foundation (VCF) to deliver a unified application delivery and security fabric—eliminating fragmentation, enabling DevOps self-service, and future-proofing your infrastructure for the AI era.
What you will learn:
- Self-Service Global Resiliency: Enable DevOps and platform engineers to easily automate multi-cluster self-healing and configure global load balancing (GSLB) directly from Kubernetes.
- Advanced Observability via a Centralized Hub: Replace manual guesswork with an out-of-the-box dashboard that delivers comprehensive, actionable visibility into cluster health across your entire environment.
- Ultimate Networking Flexibility: Deploy anywhere without re-architecting networks or any overlay prerequisites. Avi seamlessly integrates load balancing into your existing traditional VLANs or modern network fabrics.
- Secure App Delivery: Deliver next-generation container ingress with Avi Gateway API featuring built-in backend (m)TLS, integrated web app firewall (WAF) and API protection (WAAP).
- Built-In Compliance & Lifecycle: Standardize Day 0-2 operations natively within VCF Operations—automatically managing desired-state configuration, drift remediation, and certificate/password lifecycles alongside your broader VCF stack.
Don't forget to register for Part 1 and Part 2 of the series!