Research Coverage Map 2026 06 26
Assistance service documentation coverage map — 2026-06-26
Purpose: audit Assistance's current public service documentation and map it against buyer questions, portfolio gaps, and authoritative market/service references. This is a research artifact only; it does not change navigation, routes, pricing, or service content.
Repository evidence reviewed#
- Public docs service catalogue:
apps/docs/content/guides/services/index.mdx. - Docs-backed service pages under
apps/docs/content/guides/services/. - Managed infrastructure pages under
apps/docs/content/guides/infrastructure/managed-*/index.mdx. - Public guide hubs under
apps/docs/content/guides/*/index.mdx. - Prior internal research artifacts:
docs/services/proposition-inventory-2026-06-26.md,docs/services/opsfleet-portfolio-extension.md, anddocs/services/xebia-ai-content-research.md.
Executive summary#
Assistance already has a broad service inventory and a useful docs-backed route model. The strongest coverage is in DevOps/SRE, Kubernetes, cloud infrastructure, CI/CD, managed data stores, and emerging AI-agent infrastructure. The biggest documentation gaps are not missing capability names; they are buyer-journey gaps: clearer umbrella pages for platform engineering, security/compliance, AI/data operations, migrations, documentation/developer experience, training, SaaS/admin tooling, and self-hosting. Several pages exist but need consolidation or cross-linking because commercial entry points, docs guide URLs, and marketing service routes describe the same offers differently.
Coverage map by offering area#
Current offering inventory by route family#
Recommended page backlog#
Gaps and drift to resolve before navigation changes#
- Umbrella overlap:
cloud-infrastructure,cloud-management,platform,paas-solution, andsolution-for-paascompete for platform-engineering intent. - Security overlap:
security-audit,security-compliance, anddevsecops-as-a-serviceneed clearer buying boundaries. - AI taxonomy: Agent-specific pages are strong, but enterprise AI buyers expect LLMOps, MLOps, responsible AI/governance, and data foundations.
- Data taxonomy: Managed databases are component pages; data-platform buyers need pipelines, freshness, lineage, governance, and analytics/AI readiness.
- Docs/DX absence: Handoff/runbooks appear as deliverables in many pages, but there is no explicit documentation/developer-experience service.
- Training under-positioned: Training exists but is not connected to academy, post-project adoption, or role-based enablement.
- Self-hosting decision support: Sovereign cloud and managed self-hosted tools exist, but there is no decision matrix for when self-hosting is worth the operational burden.
- Commercial clarity: Specialist pages such as AWS Marketplace onboarding, Graviton migration, managed productivity suites, and managed commerce should remain on-request unless pricing/operations are productized.
Source references#
Internal sources#
apps/docs/content/guides/services/index.mdx— current service catalogue and buyer scenarios.apps/docs/content/guides/services/devops-as-a-service/index.mdx— retained DevOps scope and proof artifacts.apps/docs/content/guides/services/sre-as-a-service/index.mdx— reliability/SRE retained scope.apps/docs/content/guides/services/devsecops-as-a-service/index.mdxandapps/docs/content/guides/services/security-audit/index.mdx— security implementation and audit scope.apps/docs/content/guides/services/ai-as-a-service/index.mdx,generative-ai-engineering,ai-agent-infrastructure,agent-orchestration,agent-observability,managed-mcp-servers— AI/agent offer inventory.apps/docs/content/guides/services/data-as-a-service/index.mdxandapps/docs/content/guides/infrastructure/managed-*/index.mdx— data and managed infrastructure offer inventory.docs/services/proposition-inventory-2026-06-26.md— route, CTA, navigation, and inventory drift map.docs/services/opsfleet-portfolio-extension.md— competitive service taxonomy compared with Opsfleet.docs/services/xebia-ai-content-research.md— AI/data competitive taxonomy and recommended AI/data pages.
External authoritative and competitive references#
- CNCF Platform Engineering Maturity Model: https://tag-app-delivery.cncf.io/whitepapers/platform-eng-maturity-model/
- CNCF Cloud Native Trail Map: https://www.cncf.io/cloud-native-trail-map/
- Google SRE books and practices: https://sre.google/books/
- DORA / Google Cloud DevOps research: https://dora.dev/
- NIST Cybersecurity Framework 2.0: https://www.nist.gov/cyberframework
- NIST AI Risk Management Framework: https://www.nist.gov/itl/ai-risk-management-framework
- NIST SP 800-34 contingency planning: https://csrc.nist.gov/publications/detail/sp/800-34/rev-1/final
- OWASP Application Security Verification Standard: https://owasp.org/www-project-application-security-verification-standard/
- OWASP Top 10 for LLM Applications: https://owasp.org/www-project-top-10-for-large-language-model-applications/
- SLSA supply-chain security framework: https://slsa.dev/
- CIS Benchmarks: https://www.cisecurity.org/cis-benchmarks
- FinOps Foundation Framework: https://www.finops.org/framework/
- Diataxis documentation framework: https://diataxis.fr/
- Backstage internal developer portal project: https://backstage.io/
- Opsfleet public services referenced in
docs/services/opsfleet-portfolio-extension.md: DevOps as a Service, AI as a Service, Data as a Service, cloud migration, Kubernetes implementation, Graviton migration, DevSecOps, AWS Marketplace provisioning, and disaster recovery planning. - Xebia public AI/data pages referenced in
docs/services/xebia-ai-content-research.md: AI strategy, agentic AI, AI governance, responsible AI, AI managed services, LLMOps, MLOps, data engineering, data platforms, analytics engineering, data governance, streaming, and lakehouse services.