cloud

DE//AGENT currently lists 5 resources under cloud: 3 tutorials, 2 references. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.

Documented learning objectives across these resources:

• Explain storage/compute separation with one managed example per layer — via Hold the cloud data stack mental model — storage, catalog, compute, IAM
• Name the IAM surface each managed service needs before the first query — via Hold the cloud data stack mental model — storage, catalog, compute, IAM
• Map any cloud data stack into one data flow — storage, catalog, compute, serve — via Hold the cloud data stack mental model — storage, catalog, compute, IAM
• Run the full cloud guardrail checklist on your own platform — via Capstone — the cloud guardrail checklist
• Turn each series lesson into a standing check with an owner — via Capstone — the cloud guardrail checklist
• Produce the four review outputs as evidence — via Capstone — the cloud guardrail checklist
• Right-size warehouses per environment instead of one size for all — via Govern cloud spend — right-sizing, resource monitors, and unit economics
• Enforce budgets with resource monitors and hard credit caps — via Govern cloud spend — right-sizing, resource monitors, and unit economics

1 more objectives live on the individual resource pages.

These resources map to stages: Cloud (3), System Design (2). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.

Every entry, its shape and its trust state — sorted by the registry's composite score. This table is the honest version of a marketing comparison: no sponsored placements, no unverifiable claims.

How scores are computed: source quality score.

Highest composite score first:

1. Hold the cloud data stack mental model — storage, catalog, compute, IAM score 34.15 — beginner
2. Capstone — the cloud guardrail checklist score 34.15 — intermediate
3. Govern cloud spend — right-sizing, resource monitors, and unit economics score 34.15 — intermediate

Scores rank provenance, completeness and trust — read how verification works before adopting anything.

Start here if you're new: Hold the cloud data stack mental model — storage, catalog, compute, IAM.

• Hold the cloud data stack mental model — storage, catalog, compute, IAM — Build the map before opening a console: object storage holds the bytes, a managed catalog describes them, and serverless compute bills for what a query scans. Walk the same shape t… details
• Capstone — the cloud guardrail checklist — Close the series by turning nine lessons into one standing checklist: workgroup bytes limits and compaction on storage, sized workers and stable bookmarks on compute, resource moni… details
• Govern cloud spend — right-sizing, resource monitors, and unit economics — Govern cloud spend the way you govern data quality: right-size each warehouse per environment, put a resource monitor between the workload and the invoice, and alert on cost-per-ru… details
• AWS Architecture Center — AWS's official collection of architecture diagrams, reference architectures and best-practice guidance (Well-Architected pillars, serverless data lake patterns). Concrete vendor ma… details

Adjacent topics: tutorial (3 shared), architecture (2 shared), patterns (2 shared).

Study path: the roadmap places this topic in a progression · the scoring model explains the numbers · the trust rule catalog shows every security check these entries passed through.