Add blog on Progressive Canary Deployments for AI Workloads using Arg…

[AryanParashar24]

Description

This PR adds a new blog post to the kgateway.dev website that demonstrates how Argo Rollouts can be combined with kgateway and agentgateway using the Kubernetes Gateway API to implement safe, observable, and progressive canary deployments.

The blog focuses on why progressive delivery matters, especially for modern AI- and agent-driven workloads, and walks through a practical, end-to-end setup using a local Kubernetes (kind) environment. It shows how gateway-level traffic routing acts as the enforcement layer for rollout decisions, enabling controlled traffic shifts without application restarts or downtime.

Issue reference

This PR is opened to solve issue #496

Change Logs

• New blog post explaining progressive canary deployments using Argo Rollouts with kgateway and agentgateway
• End-to-end walkthrough covering:
  • Gateway API–based traffic routing
  • Stable and canary service configuration
  • Integration of Argo Rollouts with the Gateway API traffic router plugin
• Architecture diagram illustrating the traffic flow and control-plane interaction between Argo Rollouts, Gateway API, and agentgateway
• Practical testing examples using both LoadBalancer-based access and local port-forwarding

Benefits

• Provides a realistic, hands-on example of using Argo Rollouts with the Gateway API.
• Highlights how agentgateway enables progressive delivery for AI and agent-based systems, where changes can impact latency, cost, and coordination.
• Serves as a practical reference for platform engineers adopting kgateway as a unified API gateway for both traditional and AI workloads.