Cloud MLOps

Migrating AI Microservices to Cloud Run

Discover the benefits and strategies for migrating complex AI applications from GKE to Google Cloud Run for serverless scale.

• 6 min read
The Serverless Shift

While Kubernetes offers unparalleled control, managing nodes and scaling can be overhead. Cloud Run provides a serverless environment where applications scale to zero when idle, perfect for asynchronous AI agents or bursty LLM workloads.

Configuration as Code

Using Knative service definitions, we can configure VPC access, IAP (Identity-Aware Proxy) annotations, and resource limits directly in our deployment manifests.

yaml 
apiVersion: serving.knative.dev/v1
kind: Service
metadata:
  name: aix-service-kb
  annotations:
    run.googleapis.com/ingress: internal
    run.googleapis.com/vpc-access-egress: all-traffic
Serverless allows platform teams to focus on AI business logic rather than node lifecycle management.
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