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docs: update aws instance recommendations#17344

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EdwardAngert merged 2 commits intomainfromaws-ec2-arch
Apr 10, 2025
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15 changes: 11 additions & 4 deletionsdocs/admin/infrastructure/validated-architectures/1k-users.md
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Expand Up@@ -14,7 +14,7 @@ tech startups, educational units, or small to mid-sized enterprises.

| Users | Node capacity | Replicas | GCP | AWS | Azure |
|-------------|---------------------|--------------------------|-----------------|------------|-------------------|
| Up to 1,000 | 2 vCPU, 8 GB memory | 1-2 nodes, 1 coderd each | `n1-standard-2` | `t3.large` | `Standard_D2s_v3` |
| Up to 1,000 | 2 vCPU, 8 GB memory | 1-2 nodes, 1 coderd each | `n1-standard-2` | `m5.large` | `Standard_D2s_v3` |

**Footnotes**:

Expand All@@ -25,7 +25,7 @@ tech startups, educational units, or small to mid-sized enterprises.

| Users | Node capacity | Replicas | GCP | AWS | Azure |
|-------------|----------------------|-------------------------------|------------------|--------------|-------------------|
| Up to 1,000 | 8 vCPU, 32 GB memory | 2 nodes, 30 provisioners each | `t2d-standard-8` | `t3.2xlarge` | `Standard_D8s_v3` |
| Up to 1,000 | 8 vCPU, 32 GB memory | 2 nodes, 30 provisioners each | `t2d-standard-8` | `c5.2xlarge` | `Standard_D8s_v3` |

**Footnotes**:

Expand All@@ -35,7 +35,7 @@ tech startups, educational units, or small to mid-sized enterprises.

| Users | Node capacity | Replicas | GCP | AWS | Azure |
|-------------|----------------------|------------------------------|------------------|--------------|-------------------|
| Up to 1,000 | 8 vCPU, 32 GB memory | 64 nodes, 16 workspaces each | `t2d-standard-8` | `t3.2xlarge` | `Standard_D8s_v3` |
| Up to 1,000 | 8 vCPU, 32 GB memory | 64 nodes, 16 workspaces each | `t2d-standard-8` | `m5.2xlarge` | `Standard_D8s_v3` |

**Footnotes**:

Expand All@@ -48,4 +48,11 @@ tech startups, educational units, or small to mid-sized enterprises.

| Users | Node capacity | Replicas | Storage | GCP | AWS | Azure |
|-------------|---------------------|----------|---------|--------------------|---------------|-------------------|
| Up to 1,000 | 2 vCPU, 8 GB memory | 1 node | 512 GB | `db-custom-2-7680` | `db.t3.large` | `Standard_D2s_v3` |
| Up to 1,000 | 2 vCPU, 8 GB memory | 1 node | 512 GB | `db-custom-2-7680` | `db.m5.large` | `Standard_D2s_v3` |

**Footnotes for AWS instance types**:

- For production deployments, we recommend using non-burstable instance types,
such as `m5` or `c5`, instead of burstable instances, such as `t3`.
Burstable instances can experience significant performance degradation once
CPU credits are exhausted, leading to poor user experience under sustained load.
15 changes: 11 additions & 4 deletionsdocs/admin/infrastructure/validated-architectures/2k-users.md
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Expand Up@@ -19,13 +19,13 @@ deployment reliability under load.

| Users | Node capacity | Replicas | GCP | AWS | Azure |
|-------------|----------------------|------------------------|-----------------|-------------|-------------------|
| Up to 2,000 | 4 vCPU, 16 GB memory | 2 nodes, 1 coderd each | `n1-standard-4` | `t3.xlarge` | `Standard_D4s_v3` |
| Up to 2,000 | 4 vCPU, 16 GB memory | 2 nodes, 1 coderd each | `n1-standard-4` | `m5.xlarge` | `Standard_D4s_v3` |

### Provisioner nodes

| Users | Node capacity | Replicas | GCP | AWS | Azure |
|-------------|----------------------|-------------------------------|------------------|--------------|-------------------|
| Up to 2,000 | 8 vCPU, 32 GB memory | 4 nodes, 30 provisioners each | `t2d-standard-8` | `t3.2xlarge` | `Standard_D8s_v3` |
| Up to 2,000 | 8 vCPU, 32 GB memory | 4 nodes, 30 provisioners each | `t2d-standard-8` | `c5.2xlarge` | `Standard_D8s_v3` |

**Footnotes**:

Expand All@@ -38,7 +38,7 @@ deployment reliability under load.

| Users | Node capacity | Replicas | GCP | AWS | Azure |
|-------------|----------------------|-------------------------------|------------------|--------------|-------------------|
| Up to 2,000 | 8 vCPU, 32 GB memory | 128 nodes, 16 workspaces each | `t2d-standard-8` | `t3.2xlarge` | `Standard_D8s_v3` |
| Up to 2,000 | 8 vCPU, 32 GB memory | 128 nodes, 16 workspaces each | `t2d-standard-8` | `m5.2xlarge` | `Standard_D8s_v3` |

**Footnotes**:

Expand All@@ -51,9 +51,16 @@ deployment reliability under load.

| Users | Node capacity | Replicas | Storage | GCP | AWS | Azure |
|-------------|----------------------|----------|---------|---------------------|----------------|-------------------|
| Up to 2,000 | 4 vCPU, 16 GB memory | 1 node | 1 TB | `db-custom-4-15360` | `db.t3.xlarge` | `Standard_D4s_v3` |
| Up to 2,000 | 4 vCPU, 16 GB memory | 1 node | 1 TB | `db-custom-4-15360` | `db.m5.xlarge` | `Standard_D4s_v3` |

**Footnotes**:

- Consider adding more replicas if the workspace activity is higher than 500
workspace builds per day or to achieve higher RPS.

**Footnotes for AWS instance types**:

- For production deployments, we recommend using non-burstable instance types,
such as `m5` or `c5`, instead of burstable instances, such as `t3`.
Burstable instances can experience significant performance degradation once
CPU credits are exhausted, leading to poor user experience under sustained load.
15 changes: 11 additions & 4 deletionsdocs/admin/infrastructure/validated-architectures/3k-users.md
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Expand Up@@ -20,13 +20,13 @@ continuously improve the reliability and performance of the platform.

| Users | Node capacity | Replicas | GCP | AWS | Azure |
|-------------|----------------------|-----------------------|-----------------|-------------|-------------------|
| Up to 3,000 | 8 vCPU, 32 GB memory | 4 node, 1 coderd each | `n1-standard-4` | `t3.xlarge` | `Standard_D4s_v3` |
| Up to 3,000 | 8 vCPU, 32 GB memory | 4 node, 1 coderd each | `n1-standard-4` | `m5.xlarge` | `Standard_D4s_v3` |

### Provisioner nodes

| Users | Node capacity | Replicas | GCP | AWS | Azure |
|-------------|----------------------|-------------------------------|------------------|--------------|-------------------|
| Up to 3,000 | 8 vCPU, 32 GB memory | 8 nodes, 30 provisioners each | `t2d-standard-8` | `t3.2xlarge` | `Standard_D8s_v3` |
| Up to 3,000 | 8 vCPU, 32 GB memory | 8 nodes, 30 provisioners each | `t2d-standard-8` | `c5.2xlarge` | `Standard_D8s_v3` |

**Footnotes**:

Expand All@@ -40,7 +40,7 @@ continuously improve the reliability and performance of the platform.

| Users | Node capacity | Replicas | GCP | AWS | Azure |
|-------------|----------------------|-------------------------------|------------------|--------------|-------------------|
| Up to 3,000 | 8 vCPU, 32 GB memory | 256 nodes, 12 workspaces each | `t2d-standard-8` | `t3.2xlarge` | `Standard_D8s_v3` |
| Up to 3,000 | 8 vCPU, 32 GB memory | 256 nodes, 12 workspaces each | `t2d-standard-8` | `m5.2xlarge` | `Standard_D8s_v3` |

**Footnotes**:

Expand All@@ -54,9 +54,16 @@ continuously improve the reliability and performance of the platform.

| Users | Node capacity | Replicas | Storage | GCP | AWS | Azure |
|-------------|----------------------|----------|---------|---------------------|-----------------|-------------------|
| Up to 3,000 | 8 vCPU, 32 GB memory | 2 nodes | 1.5 TB | `db-custom-8-30720` | `db.t3.2xlarge` | `Standard_D8s_v3` |
| Up to 3,000 | 8 vCPU, 32 GB memory | 2 nodes | 1.5 TB | `db-custom-8-30720` | `db.m5.2xlarge` | `Standard_D8s_v3` |

**Footnotes**:

- Consider adding more replicas if the workspace activity is higher than 1500
workspace builds per day or to achieve higher RPS.

**Footnotes for AWS instance types**:

- For production deployments, we recommend using non-burstable instance types,
such as `m5` or `c5`, instead of burstable instances, such as `t3`.
Burstable instances can experience significant performance degradation once
CPU credits are exhausted, leading to poor user experience under sustained load.
14 changes: 14 additions & 0 deletionsdocs/admin/infrastructure/validated-architectures/index.md
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Expand Up@@ -220,6 +220,20 @@ For sizing recommendations, see the below reference architectures:

- [Up to 3,000 users](3k-users.md)

### AWS Instance Types

For production AWS deployments, we recommend using non-burstable instance types,
such as `m5` or `c5`, instead of burstable instances, such as `t3`.
Burstable instances can experience significant performance degradation once
CPU credits are exhausted, leading to poor user experience under sustained load.

| Component | Recommended Instance Type | Reason |
|-------------------|---------------------------|----------------------------------------------------------|
| coderd nodes | `m5` | Balanced compute and memory for API and UI serving. |
| Provisioner nodes | `c5` | Compute-optimized performance for faster builds. |
| Workspace nodes | `m5` | Balanced performance for general development workloads. |
| Database nodes | `db.m5` | Consistent database performance for reliable operations. |

### Networking

It is likely your enterprise deploys Kubernetes clusters with various networking
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