CI/CD Delivery System designed
This page explains the real delivery system, not just "we have CI".
GPUaaS uses a monorepo, but validation is increasingly routed by ownership and service boundary while preserving global contract and release safety.
What This Proves
| Audience | What this page should prove |
|---|---|
| Operators | there is a real gate stack and environment model, not just ad hoc scripts |
| Developers | pipeline failures map to concrete local gates and ownership lanes |
| Security / architecture | promotion decisions are evidence-based and environment-aware |
| Leadership | a large part of the program is delivery-system engineering, not only feature coding |
Delivery Stack
Gate Layers
| Layer | What it answers |
|---|---|
| Global contract gates | Did the platform-wide contract still hold? |
| Domain-local validation | Is the owning lane internally correct? |
| Consumer smokes | Did downstream consumers of the contract still work? |
| Release manifest | Are we promoting an immutable source SHA and artifact set? |
| Environment/profile resolution | Are we deploying with the right contract for the target environment? |
| Preflight | Can this target accept the deploy safely? |
| Readback and evidence | Did the deployed system actually converge and prove the expected posture? |
Canonical Inputs
The CI/CD system is driven by:
scripts/ci/*for reusable gate logic- release profile and environment docs
- deterministic local utilities for CI/deploy/UAT summaries
- Fairway evidence and closeout state
Workflow files are wrappers. The real logic belongs in scripts and artifacts.
Environment Model
The delivery path distinguishes environment, release profile, and release artifact.
Environment
Durable target facts such as:
- kind
- dev
- demo
- staging
- production-like or production targets
Release profile
Operational behavior such as:
- full deploy
- fast runtime-only lane
- validation-only lane
- preflight mode
- rollout and readiness expectations
Release artifact
Immutable source and runtime output:
- source SHA
- image digests
- release manifest
- generated artifacts
Why This Split Matters
Earlier failures came from mixing environment-owned values with generic CI globals. The current model treats the resolved environment/profile contract as authoritative before deploy intent proceeds.
Local Automation Utility Layer
Repeated agent loops should move into deterministic utilities:
- CI monitor
- deploy monitor
- UAT summary
- evidence packet generator
- gate selector
- release verifier
That reduces token burn and makes pass/fail come from artifacts rather than chat interpretation.
Common Failure Classes
| Failure class | Expected owning layer |
|---|---|
| contract/codegen drift | contract or generated-client ownership |
| schema drift | DB/schema and release engineering |
| deploy credential mismatch | environment/profile and ops |
| stale route/host assumptions | edge/proxy or environment model |
| rollout passed but live state is wrong | deploy readback / runtime validation |
| broad UAT discovered missing workflow | product-gap / flow coverage gate miss |
What Already Exists
The portal should not understate this:
- service-level CI/CD operating model
- multi-environment profile model
- local automation utility inventory
- release promotion policy
- readback and evidence-driven deploy posture
This is already significant delivery-system work.
What Still Evolves
- stronger gate selector and change-aware routing
- more deterministic deploy/UAT monitors
- clearer staging and demo environment promotion
- better release-readiness summarization for humans