| Troubleshooting | L37-L63 | Diagnosing and fixing PostgreSQL issues on Azure: connectivity, TLS, HA, performance (CPU/IOPS/memory/slow queries), autovacuum, extensions, migrations, CLI errors, and auth problems. |
| Best Practices | L64-L80 | Performance and migration best practices for Azure PostgreSQL: partitioning, pooling, pgvector, query store, bulk load, bloat cleanup, pg_dump/restore, and Oracle-to-PostgreSQL conversion. |
| Decision Making | L81-L96 | Guidance on sizing and scaling compute/storage, choosing deployment and PostgreSQL versions, planning upgrades, geo-replication, reserved capacity, and pre-migration checks. |
| Architecture & Design Patterns | L97-L107 | 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 | L108-L128 | Backup/restore behavior, geo-restore and dropped server recovery, storage types/limits and performance tuning, quotas and capacity limits, read replicas, and known migration limitations. |
| Security | L129-L159 | Securing Azure Database for PostgreSQL: identity/auth (Entra, managed identities, SCRAM), network (VNet, Private Link, firewall), TLS/SSL, encryption, RBAC, auditing, and security policies/compliance. |
| Configuration | L160-L211 | Configuring Azure Database for PostgreSQL servers: parameters, extensions, HA, networking, logging/monitoring, tuning (autovacuum, memory, WAL, connections), and scaling via portal, CLI, ARM/Bicep. |
| Integrations & Coding Patterns | L212-L239 | Patterns and code samples for integrating Azure PostgreSQL with AI services, SDKs, programming languages, VS Code, Data Factory, storage, and Oracle migrations. |
| Deployment | L240-L250 | CI/CD deployment to Azure PostgreSQL, app integration (AKS/Django, Web Apps + VNet), flexible server Bicep provisioning, major upgrades, network migration, and point-in-time restore. |