CI/CD Pipelines

Overview

CI/CD in this ecosystem is not treated as a single deployment script. It is a release discipline. Every pipeline is designed to move changes from source control to a known-good deployed state through repeatable checks, predictable workflow stages, and clear rollback paths.

This includes documentation publishing, automation safety checks, and emerging container-based workflows for runtime services and platform engineering sandbox environments.

Pipeline goals

• Reliability: every release should move through a known sequence of checks.
• Repeatability: the same workflow should work across repositories and environments.
• Safety: validation should happen before deployment, not after failure.
• Visibility: releases should be traceable through tags, logs, and workflow states.
• Recoverability: every deployment should have a rollback path.

Release lifecycle

Create changes
      ↓
Run local validation
      ↓
Open preview / verify layout
      ↓
Merge approved changes
      ↓
Run CI checks
      ↓
Tag or freeze release point
      ↓
Deploy to target platform
      ↓
Verify production behavior
      ↓
Rollback if required

Workflow types

1. Documentation publishing workflow

This workflow ships updates to the docs platform itself. It typically includes partial injection, link checks, content validation, and deployment verification after publishing.

• update content or structure
• run partial injection
• validate markers and shared layout
• preview locally
• ship to production

2. Static site release workflow

This workflow handles updates to brand, content, project pages, architecture references, and publishing surfaces across the broader ecosystem.

3. Automation workflow

This includes validation scripts, release helpers, and guardrails used to standardize release quality across repositories.

4. Containerized delivery workflow

This workflow applies to platform and runtime services that move through build, packaging, containerization, orchestration, and runtime validation. It is especially relevant for the sandbox environment where service monitoring and observability are part of the delivery model.

Containerized pipeline model

The CI/CD model now extends beyond static publishing into runtime-oriented delivery. A typical containerized flow includes image build, dependency packaging, environment startup, and health verification.

Source code
      ↓
Build application artifact
      ↓
Build container image
      ↓
Push / register image
      ↓
Start runtime environment
      ↓
Run health checks
      ↓
Verify logs, metrics, and service state
      ↓
Promote or rollback

For the monitoring side of this runtime model, see the Platform Observability Architecture.

Common pipeline stages

• Linting: catch formatting and syntax issues early.
• Validation: ensure links, routes, partials, or configs are correct.
• Build: generate the deployable site or runtime artifact.
• Package: assemble the output for release or container delivery.
• Deploy: publish to the target environment.
• Post-deploy verification: confirm live behavior matches intent.

Release discipline

A pipeline is only as strong as the release discipline behind it. In this ecosystem, releases are expected to be small, explainable, and tied to a known-good state. Freeze points and tags are used to preserve dependable rollback anchors.

• prefer small release batches
• separate content changes from structural refactors
• tag known-good milestones
• verify behavior after deployment
• use rollback rather than panic edits

Related tooling

• Automation Toolkit
• Architecture
• Observability Architecture
• Mesh Governance

Future expansion

This page is designed to grow as the platform evolves. Future additions may include:

• named workflow catalog
• GitHub Actions job maps
• container build and registry flow details
• environment promotion strategy
• release tagging standards
• deployment verification checklist