Secure chatbot architecture on GCP combining GKE, Cloud Load Balancing, and Workload Identity for production-grade conversational AI. User traffic flows through Cloud Load Balancing to an Nginx Ingress Controller managing Chatbot UI and Agent pods within a GKE cluster in us-central1, with Workload Identity enabling pod-to-GCP service authentication. The Chatbot Agent integrates with Vertex AI for NLP, BigQuery for analytics, Cloud SQL for session memory, and external MongoDB via Cloud NAT, while Secret Manager, Cloud Monitoring, and Cloud Logging provide security and observability. This architecture demonstrates least-privilege access, multi-AZ resilience, and managed service integration for enterprise chatbot deployments. Fork and customize this diagram on Diagrams.so to adapt subnet ranges, add additional namespaces, or integrate alternative identity providers like Forgerock IDP.