/azure-documentdb

name: azure-documentdb
description: Expert knowledge for Azure DocumentDB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Azure DocumentDB indexing/search, MongoDB API, HA/replicas, vector/RAG workloads, or IaC deployments, and other Azure DocumentDB related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance).
compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata:
  generated_at: "2026-11-08"
  generator: "docs2skills/1.0.0"

Azure DocumentDB Skill

This skill provides expert guidance for Azure DocumentDB. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

> **IMPORTANT for Agent**: Use the **Category Index** below to locate relevant sections. For categories with line ranges (e.g., `L35-L120`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file

> **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)

This skill requires **network access** to fetch documentation content:

• **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.
• **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown.

Category Index

| Category | Lines | Description | |----------|-------|-------------| | Troubleshooting | L37-L45 | Diagnosing and fixing DocumentDB issues: query performance, CMK encryption, replication, and common connectivity/network errors including migration-related problems. | | Best Practices | L46-L56 | Best practices for DocumentDB indexing, query optimization, background indexing safety, and designing high-availability, cross-region replicated deployments. | | Decision Making | L57-L72 | Guides for choosing between DocumentDB and MongoDB services, planning migrations and connectivity, cross-region failover, and selecting optimal vector index/search algorithms across languages. | | Architecture & Design Patterns | L73-L82 | Patterns for scaling, HA/DR, sharding, multi‑cloud setups, and building Go/TypeScript AI agents (including autonomous travel) on Azure DocumentDB. | | Limits & Quotas | L83-L96 | Limits, quotas, and configuration constraints for DocumentDB: compute/storage tiers, free tier caps, SSD performance, indexing/text index limits, document/batch sizes, diagnostics, and feature availability. | | Security | L97-L108 | Securing DocumentDB: encryption at rest and with customer keys, firewall and RBAC setup, Private Link and public access control, native user management, and cluster security best practices. | | Configuration | L109-L131 | Configuring DocumentDB features: indexing, search (BM25, vector, fuzzy, full-text, geo), MongoDB compatibility, HA/replicas, scaling, transactions, monitoring, alerts, backups, and MCP toolkit. | | Integrations & Coding Patterns | L132-L155 | Patterns and code samples for integrating Azure DocumentDB with languages, frameworks, vector search/RAG tools, migrations (Mongo/Cassandra), and external services like Databricks and OpenAI. | | Deployment | L156-L162 | Guides for deploying and managing DocumentDB clusters: local dev to Azure, backup/restore, version upgrades, and IaC deployment with Bicep and Terraform. |

Troubleshooting

| Topic | URL | |-------|-----| | Troubleshoot CMK encryption issues in Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/how-to-database-encryption-troubleshoot | | Diagnose query performance using explain() in DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/how-to-read-explain-output | | Troubleshoot common Azure DocumentDB errors and connectivity | https://learn.microsoft.com/en-us/azure/documentdb/troubleshoot-common-issues | | Troubleshoot network connectivity for DocumentDB migrations | https://learn.microsoft.com/en-us/azure/documentdb/troubleshoot-connectivity | | Troubleshoot Azure DocumentDB replication issues | https://learn.microsoft.com/en-us/azure/documentdb/troubleshoot-replication |

Best Practices

| Topic | URL | |-------|-----| | Use background indexing safely in Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/background-indexing | | Apply cross-region replication best practices in DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/cross-region-replication | | Implement HA and cross-region replication best practices | https://learn.microsoft.com/en-us/azure/documentdb/high-availability-replication-best-practices | | Apply indexing best practices for Azure DocumentDB collections | https://learn.microsoft.com/en-us/azure/documentdb/how-to-create-indexes | | Explore practical indexing scenarios in Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/how-to-index | | Safely migrate from non-ordered to ordered indexes in DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/how-to-migrate-ordered-indexes | | Optimize Azure DocumentDB queries with Index Advisor | https://learn.microsoft.com/en-us/azure/documentdb/index-advisor |

Decision Making

| Topic | URL | |-------|-----| | Choose Azure