Infrastructure Deployment and LLMOps
Infrastructure as Code
Domain: Infrastructure, Deployment & MLOps/LLMOps
Status: Implementation guidance / design checklist
Applicability: Depends on product architecture and risk
Concept
Infrastructure as Code is the capability concerned with infrastructure as code in the broader domain of release engineering, infrastructure, and service resilience. Its purpose is to make this concern explicit, testable, governable, and reusable across AI-powered workflows. Set deployment compatibility, recovery objective, and readiness criteria for Infrastructure as Code.
Recommended Practices
- Automate tests and promotion; make artifacts immutable; use gradual rollout and tested rollback procedures.
- Define an owner, API/schema contract, failure response, and acceptance criteria for infrastructure as code.
- Add automated positive, negative, boundary, and permission tests for infrastructure as code; review metrics in staging and production.
Example Use Cases
- A new agent release is canaried and rolled back when production evaluation or error rate regresses.
- Apply infrastructure as code in a high-volume enterprise workflow while recording the user, project scope, input contract, and observable outcome.
Common Implementation Pitfalls
- Deploying changed prompts, code, and model aliases without traceable versions.
- No documented fallback, operational owner, or signal showing when infrastructure as code is failing.
- Testing only happy paths while ignoring missing data, revoked access, malformed outputs, and partial outages.
Production Readiness Checklist
- An accountable owner and technical contract for infrastructure as code are documented.
- At least one successful and one failing end-to-end scenario is reproducible.
- Access controls, retention, and audit requirements are verified where relevant.
- Release monitoring includes a measurable success or failure signal for this capability.
Design Questions
- What concrete risk or business requirement requires Infrastructure as Code?
- What happens when it is unavailable, wrong, stale, or slow?
- How is its success evaluated against a trusted reference or observed outcome?
- Who can change its configuration, and how are changes released and rolled back?