MLOps
Platform Engineering
GitOps and Infrastructure for AI Agents on GKE
Learn how to set up a robust, GitOps-driven Kubernetes cluster for running AI workloads using Helm and ArgoCD.
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8 min read
The "App of Apps" Pattern
Managing modern AI infrastructure requires a declarative approach. By using ArgoCD and Helm, we can define our entire cluster state in Git. This includes core infrastructure like Istio, Cert-Manager, and Prometheus, as well as our AI stack including Vector Databases and LLM Gateways.
Istio for Traffic ManagementInstead of exposing services directly, an Istio Ingress Gateway provides Layer 7 capabilities like advanced routing, TLS termination, and traffic control. This is crucial for securely exposing AI APIs to internal applications.
yaml
apiVersion: networking.istio.io/v1alpha3
kind: VirtualService
metadata:
name: dify
spec:
hosts:
- "dify.ai-platform.local"
http:
- route:
- destination:
host: dify-api-svc.dify.svc.cluster.local
port:
number: 80
Traffic Flow
graph TD; Client-->LB[GCP Load Balancer]; LB-->Istio[Istio Ingress Gateway]; Istio-->LLM[LiteLLM Gateway]; Istio-->VDB[Vector DB];