A comprehensive guide to deploying Docker-based AI agents on Oracle Cloud Infrastructure (OCI) and Oracle Kubernetes Engine (OKE). Covers the full deployment lifecycle: building hardened Docker images, pushing to OCI Container Registry, provisioning OKE clusters with Terraform, deploying agents with Kubernetes manifests, integrating OCI Generative AI (Cohere Command R+, Llama 3) via OpenAI-compatible endpoints, and securing secrets with OCI Vault. Also covers kagent for Kubernetes-native agent orchestration as CRDs, KEDA for queue-depth-based autoscaling, MCP server deployment, OpenTelemetry observability for reasoning chain tracing, Kyverno admission policies for zero-trust security, and a production readiness checklist.
Table of contents
The OCI + OKE Architecture for AI AgentsWhy OKE for AI Agent WorkloadsStep 1: Build Your Docker AI Agent ImageStep 2: Push to OCI Container RegistryStep 3: Provision OKE and Configure SecretsStep 4: Deploy the AI Agent to OKEStep 5: Wire in OCI Generative AIStep 6: Deploy kagent for Kubernetes-Native Agent OrchestrationDefine an Agent as a Kubernetes Custom ResourceSecurity Architecture: Zero-Trust for AI Agents on OKEKyverno Policy: Block Privileged AI Agent ContainersKEDA-Based Event-Driven Autoscaling for AI AgentsMCP Server Deployment on OKEObservability: OpenTelemetry for AI Agent WorkloadsKey Metrics to Instrument for AI Agent Workloads:Production Readiness ChecklistConclusionRelated232 Impressions