Kubernetes Basics
Trigger Boundary
- •Use when runtime packaging, orchestration, or infrastructure controls must be defined.
- •Do not use for product requirement decomposition; use
requirements-*oruser-story-writing. - •Do not use for post-incident review output; use
incident-postmortem.
Goal
Establish reproducible, secure, and operable runtime platforms.
Inputs
- •Change scope and risk profile
- •Domain evidence for workload deployment, service discovery, and cluster resource basics
- •Operational, compliance, and rollout constraints
Outputs
- •Kubernetes workload baseline manifest set
- •Decision log for workload deployment, service discovery, and cluster resource basics
- •Verification checklist with measurable pass-fail criteria
Workflow
- •Clarify outcomes and hard constraints for workload deployment, service discovery, and cluster resource basics.
- •Produce options and select an approach for workload deployment, service discovery, and cluster resource basics.
- •Evaluate trade-offs across security, performance, operability, and maintainability.
- •Verify decisions using cluster deployment and health probe checks.
- •Publish decisions, residual risks, and accountable follow-up actions.
Quality Gates
- •Scope and assumptions for workload deployment, service discovery, and cluster resource basics are explicit and reviewable.
- •Decision rationale is backed by evidence instead of preference.
- •Rollout and rollback criteria are defined when production impact exists.
- •Residual risks have owners, due dates, and verification steps.
Failure Handling
- •Stop when baseline workloads cannot be deployed reliably on target clusters.
- •Escalate when accepted risk exceeds team policy thresholds.