Provision secure GCP infrastructure for Vertex AI ADK and Agent Engine deployments using Terraform. Automate setup of Agent Engine runtime, code execution sandbox, Memory Bank, VPC Service Controls, IAM roles, and networking to enable scalable AI agent workflows.
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Terraform configurations for Vertex AI platform and Agent Engine
Scaffold, develop, evaluate, and deploy AI agents with Google ADK. Bundles 7 skills for the agent development lifecycle.
Terraform module creation and infrastructure planning
Build AI agents with Google's Agent Development Kit (ADK) - supports Python, TypeScript, Go, and Java
AIDLC Operations phase automation — self-improving loops, autonomous deploys, continuous evaluation, incident response, and cost governance on AWS. Humans approve at checkpoints; agents execute diagnosis, proposal, and remediation between gates.
Use this agent when setting up CI/CD pipelines, configuring Docker containers, deploying applications to cloud platforms, setting up Kubernetes clusters, implementing infrastructure as code, or automating deployment workflows. Examples: <example>Context: User is setting up a new project and needs deployment automation. user: "I've built a FastAPI application and need to deploy it to production with proper CI/CD" assistant: "I'll use the deployment-engineer agent to set up a complete deployment pipeline with Docker, GitHub Actions, and production-ready configurations."</example> <example>Context: User mentions containerization or deployment issues. user: "Our deployment process is manual and error-prone. We need to automate it." assistant: "Let me use the deployment-engineer agent to design an automated CI/CD pipeline that eliminates manual steps and ensures reliable deployments."</example>