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Principle – Automation First
Summary
Make automation the default path for repeatable operational work, minimizing manual drift and ad-hoc changes.
Intent
Reduce human error, accelerate delivery, and ensure consistent enforcement of architectural intent across domains.
Scope and Applicability
Applies to any workflow that is repeatable, policy-driven, or touches shared infrastructure and platform services.
Principles
- Prefer declarative configuration and reconciliation over imperative manual change.
- Treat automation pipelines as production systems with versioning, review, and evidence.
- Design workflows so outcomes are deterministic and verifiable.
Per-Domain Implementation
OpenShift
- Use GitOps pipelines for cluster and add-on lifecycle management.
Networking
- Render and deploy device configurations from approved intent models.
Storage
- Automate provisioning, policy enforcement, and backup scheduling.
Security
- Automate policy validation and compliance checks as part of delivery pipelines.
Platform
- Provide standardized automation primitives that domains can reuse safely.
AI
- Automate AI workload lifecycle (training/inference pipelines, model artifacts, and policy checks) with versioning, review, and evidence.
Exceptions
Manual intervention is permitted only for emergency remediation with documented evidence and follow-up automation.