Infrastructure Deployment and LLMOps
CI/CD Pipelines
Ci cd pipelines
Domain: Infrastructure, Deployment & MLOps/LLMOps
Status: Implementation guidance / design checklist
Applicability: Depends on product architecture and risk
Concept
CI/CD Pipelines is the capability concerned with ci/cd pipelines 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 CI/CD Pipelines.
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 ci/cd pipelines.
- Add automated positive, negative, boundary, and permission tests for ci/cd pipelines; 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 ci/cd pipelines 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 ci/cd pipelines 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 ci/cd pipelines 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 CI/CD Pipelines?
- 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?