This lab provides a complete production-readiness guide for Enterprise AgentGateway: a metrics reference for every component, recommended Prometheus alerting rules, horizontal pod autoscaling configuration, graceful shutdown for long-lived AI connections, pod spreading, and disruption budgets.

This lab assumes that you have completed the setup in 001 and 002.

• Understand every metric exposed by the data plane, control plane, and rate limiter
• Deploy production-grade Prometheus alerting rules

In this workshop, you'll deploy the open-source Agentgateway and complete hands-on labs that showcase routing, observability, and Gen AI features.

• Kubernetes > 1.30
• Kubernetes Gateway API
• helm package manager installed

This lab assumes that you have completed the setup in 001 and 002

• Route to a remote A2A agent by hostname (not IP address) through AgentGateway
• Preserve full A2A protocol detection, including "protocol":"a2a" and a2a.method in access logs
• Handle port and path differences on the remote agent
• Validate A2A connectivity and observability through the gateway

• Deploy an external Redis instance separate from the built-in ext-cache
• Configure the Enterprise AgentGateway rate limiter to use the external Redis via a deployment overlay
• Apply global rate limiting to LLM routes using RateLimitConfig and EnterpriseAgentgatewayPolicy
• Verify rate limit counters are stored in the external Redis

This lab assumes that you have completed the setup in 001 and 002

• Deploy a mock A2A agent and expose it as a remote service
• Route to the remote A2A agent through AgentGateway
• Validate A2A connectivity through the gateway
• Observe A2A traffic in access logs

A comprehensive list of functional features available in Solo Enterprise for Agentgateway, categorized by LLM and MCP capabilities.

• Route to OpenAI