GCP GKE chatbot architecture combines Google Kubernetes Engine with Dialogflow to deliver a scalable, managed conversational AI platform. User traffic flows through Cloud Load Balancing to an Nginx Ingress Controller, which routes requests to Chatbot UI and Chatbot Agent pods running in a dedicated chatbot namespace within GKE. The Chatbot Agent pod integrates with Dialogflow for NLU, accesses Cloud SQL for short-term conversation memory, and streams analytics to BigQuery, while a dedicated ServiceAccount manages secure access to Secret Manager for credential rotation. This design demonstrates GCP best practices: network segmentation via public and private subnets, workload identity via ServiceAccount, and separation of concerns across managed services. Fork and customize this diagram on Diagrams.so to adapt it for your conversational AI use case, adjust regional deployment, or add additional integrations.