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docs: fix markdown linting errors
Converts bold text to proper headings and adds blank lines around lists to comply with markdownlint rules. Co-authored-by: dannykopping <373762+dannykopping@users.noreply.github.com>
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docs/admin/infrastructure/validated-architectures/index.md

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For production deployments, we recommend using dedicated compute instances rather than burstable instances (like AWS t-family) which provide inconsistent CPU performance. Below are recommended instance types for each major cloud provider:
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**AWS (RDS/Aurora PostgreSQL)**
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##### AWS (RDS/Aurora PostgreSQL)
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- **Small deployments (<1000 users)**: `db.m6i.large` (2 vCPU, 8 GB RAM) or `db.r6i.large` (2 vCPU, 16 GB RAM)
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- **Medium deployments (1000-2000 users)**: `db.m6i.xlarge` (4 vCPU, 16 GB RAM) or `db.r6i.xlarge` (4 vCPU, 32 GB RAM)
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- **Large deployments (2000+ users)**: `db.m6i.2xlarge` (8 vCPU, 32 GB RAM) or `db.r6i.2xlarge` (8 vCPU, 64 GB RAM)
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**Azure (Azure Database for PostgreSQL)**
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##### Azure (Azure Database for PostgreSQL)
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- **Small deployments (<1000 users)**: `Standard_D2s_v5` (2 vCPU, 8 GB RAM) or `Standard_E2s_v5` (2 vCPU, 16 GB RAM)
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- **Medium deployments (1000-2000 users)**: `Standard_D4s_v5` (4 vCPU, 16 GB RAM) or `Standard_E4s_v5` (4 vCPU, 32 GB RAM)
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- **Large deployments (2000+ users)**: `Standard_D8s_v5` (8 vCPU, 32 GB RAM) or `Standard_E8s_v5` (8 vCPU, 64 GB RAM)
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**Google Cloud (Cloud SQL for PostgreSQL)**
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##### Google Cloud (Cloud SQL for PostgreSQL)
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- **Small deployments (<1000 users)**: `db-standard-2` (2 vCPU, 7.5 GB RAM) or `db-highmem-2` (2 vCPU, 13 GB RAM)
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- **Medium deployments (1000-2000 users)**: `db-standard-4` (4 vCPU, 15 GB RAM) or `db-highmem-4` (4 vCPU, 26 GB RAM)
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- **Large deployments (2000+ users)**: `db-standard-8` (8 vCPU, 30 GB RAM) or `db-highmem-8` (8 vCPU, 52 GB RAM)

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