Infrastructure Landscape

Architecture, design rationale, and maturity assessment of each S-CORE infrastructure area. These chapters describe what exists, how it works, and what is still missing.

Status Legend

• 🟢 Implemented and fit for purpose

• 🟡 Partially implemented / needs improvement

• 🟠 Implemented but problematic or insufficient

• 🔴 Not started

• ⚪ Unknown / not yet assessed

Chapter Map

Capability	Maturity	Impact
1 Source Code Infrastructure	🟠	Teams can deliver, but inconsistent standards create avoidable delays and make portfolio oversight harder.
↳ 1.1 Hosting & Organization	🟡	Repositories are harder to find and understand, which slows onboarding and cross-team collaboration.
↳ 1.2 Repository Provisioning & Lifecycle	🟡	Ownership is unclear for create/archive/delete decisions, increasing governance and audit risk.
↳ 1.3 Repository Policy Management	🔴	Different repositories follow different protection levels, increasing security exposure and review overhead.
↳ 1.4 Repository Standards	🟠	Without measurable conformance, standards are hard to enforce and improvement progress is hard to track.
2 Developer Environment	🟡	Most contributors can work effectively, but setup differences still reduce productivity and predictability.
↳ 2.1 Central Devcontainer	🟡	The shared environment helps onboarding, but uneven adoption means teams still lose time on local fixes.
↳ 2.2 Local Auxiliary Tooling	🟡	Inconsistent local checks create rework when code moves from laptop to CI.
3 Build & Dependencies	🟠	Build capabilities are strong, but missing shared policies increase delivery risk and coordination cost.
↳ 3.1 Build System	🟢	A common build foundation reduces integration friction and supports predictable delivery.
↳ 3.2 Dependency Management	🟡	Inconsistent dependency decisions raise maintenance effort and can introduce compliance surprises late.
↳ 3.3 Toolchain Management	🟠	Progress exists, but uneven rollout means teams do not get the same reliability or support level.
↳ 3.4 Build Reproducibility & Evidence	🔴	Missing reproducibility evidence limits confidence in releases and weakens audit readiness.
↳ 3.5 Build Execution Infrastructure	🔴	No shared scale-out build infrastructure means slower pipelines and longer feedback loops.
4 Testing	🟠	Good testing exists, but fragmentation limits leadership visibility into overall product quality.
↳ 4.1 Test Framework Integration	🟡	Teams use similar tools, but inconsistency still causes duplicated effort and uneven test quality.
↳ 4.2 Test Execution & Dynamic Analysis	🟠	Advanced test practices are not consistently adopted, leaving quality risk concentrated in some areas.
↳ 4.4 Test Reporting	🟠	Reporting is scattered, making it hard to get one management view of risk and trend direction.
5 Code Analysis Infrastructure	🔴	Quality controls are not standardized, so risk detection depends too much on individual repositories.
↳ 5.1 Tooling Baseline	🔴	No shared baseline means coverage gaps and inconsistent quality expectations across teams.
↳ 5.2 Shared Rule Configuration	🔴	Without common rules, results are harder to compare and governance decisions are slower.
↳ 5.3 Incremental Adoption	🔴	No rollout path means improvements are harder to scale across the portfolio.
↳ 5.4 Security Scanning	🟠	Security checks exist, but inconsistent gates can let important findings slip through.
6 Compliance & Dependency Analysis	🔴	Compliance is not yet reliable end to end, creating audit and release-readiness risk.
↳ 6.1 File-Level Licensing	🔴	License labeling is incomplete, increasing legal-review effort and uncertainty.
↳ 6.2 Dependency Analysis	🔴	Dependency visibility is partial, so teams may discover compliance issues too late.
↳ 6.3 SBOM Scoping and Compliance Evidence	🔴	Unclear scope rules make compliance outputs hard to trust and hard to compare.
↳ 6.4 License Checks and Compliance	🔴	No shared license decision baseline increases release risk and slows approvals.
↳ 6.5 Monitoring and Governance	🔴	Ongoing compliance health is not actively managed, so issues can remain hidden longer.
7 Automation Infrastructure & Continuous Integration (CI)	🔴	Automation is improving, but inconsistent workflow coverage still creates uneven delivery performance.
↳ 7.1 Runners	🟠	Capacity and reliability limits on runners continue to delay critical feedback.
↳ 7.2 Reusable Workflows	🔴	Reuse is incomplete, so teams still duplicate CI logic and carry higher maintenance cost.
↳ 7.3 Cross-Repository Integration	🔴	Cross-repository breakages can be detected too late, increasing integration and release risk.
↳ 7.4 Secrets Management	🔴	Secret handling is not uniformly governed, increasing security and compliance exposure.
↳ 7.5 CI Observability	🔴	Leadership lacks a single CI health view, making prioritization and investment decisions harder.
8 Release & Distribution	🟠	Release practices exist, but inconsistent patterns reduce speed, clarity, and consumer confidence.
↳ 8.1 Deliverable Types	🟠	No common release package model makes planning and consumer communication harder.
↳ 8.2 Distribution Channels	🟠	Channel strategy is unclear, so consumers face inconsistent access across deliverables.
↳ 8.3 Release Metadata	🟠	Inconsistent metadata reduces transparency about what changed and how safe it is to adopt.
↳ 8.4 Consumer Access	⚪	Consumer adoption paths are not clearly defined, slowing uptake and support.
↳ 8.5 Post-Release Communication & Response	⚪	No shared advisory model means slower, less consistent communication when issues arise.
9 Documentation & Traceability	🟠	Documentation is improving, but fragmentation limits trust and decision support at program level.
↳ 9.1 Authoring & Tooling	🟡	Different authoring setups increase maintenance effort and dilute documentation quality.
↳ 9.2 Build, Validation & Publishing	🟡	Publishing works, but inconsistent validation can let quality issues reach stakeholders.
↳ 9.3 Cross-Repository Documentation Integration	🔴	No integrated navigation makes it difficult to understand the full system picture quickly.
↳ 9.4 Engineering Documentation & Traceability	🟠	Traceability exists in parts, but not yet enough for consistent impact and change analysis at scale.
10 Infrastructure Operations	⚪	Operations are mostly reactive, increasing outage risk and recovery uncertainty.
↳ 10.1 CI Runner Operations	⚪	Limited operational ownership and transparency increase service continuity risk.
↳ 10.2 Infrastructure Monitoring	⚪	Without shared monitoring, systemic problems are detected later and resolved slower.
↳ 10.3 Infrastructure Maintenance	⚪	Maintenance is not planned consistently, increasing technical debt and surprise work.
↳ 10.4 Infrastructure Governance	⚪	Missing governance structure makes cross-repository decisions slower and less predictable.
11 Reference Integration	🟠	The workspace exists and DR-008 is settled, but the validation pipeline and evidence model are not built, and the release process is undefined.
↳ 11.1 Integration Workspace	🟡	Multi-module workspace is functional but missing QNX8 aarch64, inconsistent showcase coverage, and an outdated README.
↳ 11.2 Known-Good Promotion	🟠	Revision pinning works, but the release process is not defined in DR-008, so the promotion gate has no criteria.
↳ 11.3 Validation Pipeline	🔴	The DR-008 Option 4 two-stage pipeline is not implemented — no dependency resolution handoff, no module-scoped validation orchestration.
↳ 11.4 Integrated Evidence	🔴	No evidence schema, no release gate definition, unreliable coverage, and missing traceability properties in Rust test reports.
↳ 11.5 Operating Model	🟡	Workflow restructuring and CI centralization are in progress for v0.8; cr_checker and Bazel profiling are pending.