azure-documentdb
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 configuring DocumentDB indexing/search, HA/replicas, MongoDB migrations, vector search/RAG, or security/RBAC, and other Azure DocumentDB related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage), Azure Blob Storage (use azure-blob-storage), Azure SQL Database (use azure-sql-database).
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SKILL.md
name: azure-documentdbdescription: 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 configuring DocumentDB indexing/search, HA/replicas, MongoDB migrations, vector search/RAG, or security/RBAC, and other Azure DocumentDB related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage), Azure Blob Storage (use azure-blob-storage), Azure SQL Database (use azure-sql-database).compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.metadata: generated_at: "2026-11-01" 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), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L46 | Diagnosing and fixing DocumentDB issues: query performance, CMK encryption, replication, and common connectivity/network errors including migration-related problems. |
| Best Practices | L47-L57 | Best practices for DocumentDB indexing, query optimization, background indexing safety, and designing high-availability, cross-region replicated deployments. |
| Decision Making | L58-L73 | Guides for choosing DocumentDB vs MongoDB/Atlas, planning MongoDB migrations, selecting connectivity and cross-region failover, and picking optimal vector index/search algorithms in .NET, Go, TS, and Python |
| Architecture & Design Patterns | L74-L83 | Patterns for scaling, HA/DR, sharding, multi‑cloud setups, and building Go/TypeScript AI agents (including autonomous travel) on Azure DocumentDB. |
| Limits & Quotas | L84-L97 | 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 | L98-L109 | Securing DocumentDB clusters: encryption at rest and with customer keys, firewall and public access controls, Private Link, Entra ID RBAC, native users/privileges, and security best practices. |
| Configuration | L110-L132 | 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 | L133-L156 | 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 | L157-L163 | 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 common Azure DocumentDB issues | https://learn.microsoft.com/en-us/azure/documentdb/faq |
| 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
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Apply autoscale behavior for Azure DocumentDB workloads | https://learn.microsoft.com/en-us/azure/documentdb/autoscale |
| Design multi-cloud architectures with Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/multi-cloud |
| Design sharding strategy for Azure DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/partitioning |
| Implement Go-based AI agents with DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/quickstart-agent-go |
| Build TypeScript AI agents with DocumentDB vector search | https://learn.microsoft.com/en-us/azure/documentdb/quickstart-agent-nodejs |
| Design an autonomous travel agent with DocumentDB | https://learn.microsoft.com/en-us/azure/documentdb/tutorial-ai-agent |
Limits & Quotas
Security
Configuration
Integrations & Coding Patterns
Deployment
| Topic | URL |
|---|---|
| Develop locally with DocumentDB and deploy to Azure | https://learn.microsoft.com/en-us/azure/documentdb/development-loop |
| Upgrade Azure DocumentDB clusters to newer MongoDB versions | https://learn.microsoft.com/en-us/azure/documentdb/how-to-upgrade-cluster |
| Deploy Azure DocumentDB clusters with Bicep | https://learn.microsoft.com/en-us/azure/documentdb/quickstart-bicep |
| Deploy Azure DocumentDB clusters using Terraform | https://learn.microsoft.com/en-us/azure/documentdb/quickstart-terraform |