Advanced (Actualizado: 19/7/2026)

Revisión de schema Cosmos DB para soporte SaaS

Revisa Cosmos DB, tenants, partition keys, historial de soporte, masking y retención.

Revisión de schema Cosmos DB para soporte SaaS

En un panel de soporte SaaS, el peor bug es silencioso: una búsqueda de la empresa A devuelve una nota de facturación de la empresa B. La página carga y el JSON parece válido. Este artículo revisa el schema de Cosmos DB con Claude Code antes de que se pierda el límite del tenant.

Key Points

El historial de soporte necesita ticket, message, internal note y audit log separados. Cosmos DB exige revisar partition key, queries con tenant, unique keys, retención, masking y seguridad.

Workflow For Support History Schema

Empieza por la pantalla de soporte: lista de tickets, detalle de cliente, mensajes, notas internas, audit log y export de resumen AI. Claude Code prepara la checklist; humanos deciden contratos y privacidad.

Data typeCosmos DB reviewHuman review
TickettenantId, partition key, unique external idcontract and priority
Messagebody mask, retention, query pathpersonal data and secrets
Internal notestaff-only boundaryrefund and incident wording
Audit logretention, actor, action, timestampcompliance and deletion request

What Claude Code Does and What Humans Decide

Claude Code drafts document fields, partition key candidates, query checks, unique key notes, masking rules, and retention notes. Humans decide customer contracts, support text, incident wording, deletion requests, AI usage, and audit retention.

3 Use Cases

Use case 1: Pick a tenant-aware partition key

  • Input: tenant count, ticket count per tenant, list queries, large tenant range.
  • Output: partition key candidates, query examples, hot-tenant risk, container split option.
  • Human review: enterprise contracts, retention, cost, and migration path.

Use case 2: Separate messages and internal notes

  • Input: message document, internal note, attachment fields, AI summary target.
  • Output: customer message fields, staff-only fields, no-log fields, mask list.
  • Human review: personal data, token, incident explanation, refund, legal wording.

Use case 3: Test cross-tenant queries

  • Input: list API, search query, admin screen, test tenants, roles.
  • Output: missing tenantId query, denial cases, expected 403 behavior.
  • Human review: admin search, support impersonation, dedicated enterprise environment.

Copy-Paste Prompt

Act as a Spanish SaaS Azure Cosmos DB schema reviewer.
Goal: prevent cross-tenant support history leaks, weak partition keys, sensitive-text storage, and retention gaps.

Review:
- ticket / message / internal note / audit log documents
- container settings
- partition key candidates
- support list queries
- tenant size ranges
- retention and deletion workflow

Return:
1. tenantId coverage
2. partition key candidates and risks
3. queries missing tenantId
4. support message and internal note boundary
5. unique key candidates
6. sensitive text masking checklist
7. five fields or queries a beginner should inspect today

Working Check Code

// verify-cosmos-saas-schema.mjs
// No dependencies. Run with: node verify-cosmos-saas-schema.mjs
const container = {
  name: "supportHistory",
  partitionKey: "/id",
  uniqueKeys: [],
  ttl: null
};

const documents = [
  {
    id: "ticket-001",
    tenantId: "tenant-a",
    type: "ticket",
    subject: "billing question",
    customerEmail: "[email protected]",
    createdAt: "2026-07-19T09:00:00Z"
  },
  {
    id: "msg-001",
    type: "message",
    ticketId: "ticket-001",
    body: "please check token sk_live_example and invoice",
    createdAt: "2026-07-19T09:02:00Z"
  }
];

const queries = [
  "SELECT * FROM c WHERE c.type = 'ticket' ORDER BY c.createdAt DESC",
  "SELECT * FROM c WHERE c.tenantId = @tenantId AND c.type = 'ticket'"
];

const problems = [];

if (container.partitionKey === "/id") {
  problems.push({ item: "partition key", fix: "use a tenant-aware key such as /tenantId or a tested hierarchical key" });
}
if (!container.uniqueKeys.some((key) => key.paths?.includes("/tenantId") && key.paths?.includes("/externalId"))) {
  problems.push({ item: "unique key", fix: "protect duplicate external ticket ids within a tenant" });
}
if (container.ttl === null) {
  problems.push({ item: "retention", fix: "define retention for support message copies and audit exports" });
}
for (const doc of documents) {
  if (!doc.tenantId) {
    problems.push({ item: "document tenantId", fix: "every support ticket and message needs tenantId" });
  }
  if (/sk_live|token|password|secret/i.test(JSON.stringify(doc))) {
    problems.push({ item: "sensitive text", fix: "mask tokens and secrets before storing support history" });
  }
}
for (const query of queries) {
  if (!/tenantId\s*=\s*@tenantId/.test(query)) {
    problems.push({ item: "query boundary", fix: "include tenantId in customer-facing support queries" });
  }
}

if (problems.length > 0) {
  console.table(problems);
  process.exitCode = 1;
} else {
  console.log("Cosmos DB SaaS schema checklist passed.");
}

Pitfall: Common Failure Cases

El fallo aparece cuando se modela por facilidad de guardado y no por seguridad de lectura. JSON válido aún puede mezclar tenants.

The first failure is assuming that a tenantId field alone is enough. The query, API authorization, and tests must also carry the tenant boundary.

The second failure is choosing id as the partition key because every document has one. Support screens usually query by tenant and time, so the key should follow real access patterns.

The third failure is sending raw support text into search or AI summaries without masking.

FAQ

P. ¿El texto de soporte debe guardarse completo?\n\nR. Solo con reglas claras de retención y masking. Tokens, secretos, correos y contratos requieren trato especial.

Q. Is tenantId always the right partition key?

A. No. It is a strong candidate for many SaaS screens, but large tenants, query patterns, retention, and cost can change the answer.

Q. Should ticket and message be in one container?

A. Sometimes. Keep review simple by comparing query patterns, retention, permissions, and AI-summary use before deciding.

Q. Where should teams go next?

A. Teams that need Cosmos DB schema, partition key, support history, masking, and authorization review can start from ClaudeCodeLab training.

What I Verified

En español mantuve pantalla SaaS, tenant isolation, historial de soporte, masking y CTA de consultoría. I checked Cosmos DB partitioning, multitenancy, hierarchical partition keys, data modeling, unique keys, and Cosmos DB security. I also checked the CTA, internal link, executable JavaScript, and locale coverage.

#claude-code #saas #cosmos-db #tenant #soporte
Gratis

PDF gratis: cheatsheet de Claude Code

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Masa

Sobre el autor

Masa

Ingeniero enfocado en workflows prácticos con Claude Code.