Deploying Agentic AI Solutions with Infrastructure as Code
· via Spacelift
Why this matters now: Agents are usually shown as laptop demos; this piece treats one as a production service and codifies the whole deployment with Terraform on Bedrock AgentCore. Agent infrastructure deserves the same IaC discipline as the rest of the estate, and this walkthrough shows what that looks like end to end on AWS: identity, isolation, memory and observability, all defined in code. The gap between demo and service is where most agent projects stall.
Three takeaways:
- AgentCore packages the operational parts nobody wants to build. Runtime gives each session an isolated environment for workloads up to eight hours, Memory handles short-term conversation state and long-term persistence, Identity keeps OAuth tokens and API keys in a vault, and Gateway turns REST APIs and Lambda functions into agent tools, with MCP support built in. Built-in tools like Code Interpreter and Browser run in isolated sandboxes.
- The walkthrough deploys a working weather agent in Terraform: the runtime, the Browser tool for fetching data, Code Interpreter for Python analysis, Memory for user preferences, S3 with IAM controls for results, and CodeBuild for the container image. Everything is reviewable, reproducible and simple to tear down. The prerequisites stay modest: Terraform 1.6, the AWS CLI and Python 3.11.
- Least privilege matters more for agents than for humans, since they act faster and never get tired. Scope IAM narrowly, start with a small deployment, and let the built-in observability (CloudWatch and OpenTelemetry) prove the agent behaves before you scale it.
What I’d add today: AgentCore has been maturing day by day and positioned as one of the core and focus AWS services. Latest capabilities in August 2026 include persistent compute runtime instances, temporal guardrail policies powered by the open-source language Dogwood.
Who should read it: teams moving a first agent from prototype to production on AWS. If an agent is also writing the Terraform, the Claude Code guide covers the authoring side of the same workflow, and the AWS generative AI cert cheat sheet maps where AgentCore sits in the wider Bedrock stack.