Agent skill
azure-database-postgresql
Expert knowledge for Azure Database for PostgreSQL development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when tuning Azure PostgreSQL performance, securing VNets/TLS, using pgvector with OpenAI, or scaling Flexible Server, and other Azure Database for PostgreSQL related development tasks. Not for Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db).
Install this agent skill to your Project
npx add-skill https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-database-postgresql
Metadata
Additional technical details for this skill
- generator
- docs2skills/1.0.0
- generated at
- 2026-04-05
SKILL.md
Azure Database for PostgreSQL Skill
This skill provides expert guidance for Azure Database for PostgreSQL. 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-L60 | Diagnosing and fixing Azure PostgreSQL issues: connectivity/TLS/auth, HA health, migration validation, autovacuum, performance (CPU/IOPS/memory/slow queries), scaling, CLI, and extension errors. |
| Best Practices | L61-L78 | Performance, security, migration, and tooling best practices for Azure PostgreSQL: tuning queries, extensions, pooling, bulk load, stats, partitioning, pgvector, Oracle migration, and backups. |
| Decision Making | L79-L91 | Guidance on sizing and scaling Flexible Server, choosing compute tiers and versions, planning geo-replication, reserved capacity, deployment options, and pre-migration checks/validations. |
| Architecture & Design Patterns | L92-L102 | Patterns for using Azure PostgreSQL (often with OpenAI) to build recommendation/semantic search apps, microservices, multitenancy, real-time dashboards, and sharded/elastic data architectures. |
| Limits & Quotas | L103-L122 | Backup/restore behavior, storage types/limits and tuning, quotas and capacity limits, replication settings, and known limitations for Azure Database for PostgreSQL and elastic clusters. |
| Security | L123-L154 | Securing Azure Database for PostgreSQL: network/VNet and firewall, TLS/SSL, identities and auth (Entra, SCRAM, managed identities), encryption, auditing, Defender, and security policies. |
| Configuration | L155-L243 | Configuring Azure Database for PostgreSQL servers: parameters, extensions, logging, monitoring, HA, networking, maintenance, scaling, vector search, and migration-related settings. |
| Integrations & Coding Patterns | L244-L273 | Using Azure PostgreSQL with AI/ML (Azure AI, OpenAI, LangChain, Foundry), app SDKs (C#, Java, Python, Go, PHP), VS Code/Copilot, Storage, Data Factory, and migration tools (Ora2Pg, pg_dump). |
| Deployment | L274-L284 | CI/CD deployment to Azure PostgreSQL, major upgrades, Bicep-based provisioning, app deployments (Django/AKS, Web Apps + VNet), maintenance rollout behavior, and point-in-time restore. |
Troubleshooting
Best Practices
Decision Making
Architecture & Design Patterns
Limits & Quotas
Security
Configuration
Integrations & Coding Patterns
Deployment
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