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Commite5ba8b7

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docs: update aws instance recommendations (#17344)
from@jatcod3r on Slack:> for the AWS recs on our [validatedarch](https://coder.com/docs/admin/infrastructure/validated-architectures/1k-users)docs, should we be referencing customers to use non-T type instances?> Once you've exceeded EC2's [CPUcredits](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/burstable-performance-instances.html)Coder starts performing poorly.> We do suggest to [scale for peakdemand](https://coder.com/docs/tutorials/best-practices/scale-coder#scaling-3),so does recommending something from the[cpu](https://aws.amazon.com/ec2/instance-types/#Compute_Optimized) or[memoryoptimized](https://aws.amazon.com/ec2/instance-types/#Memory_Optimized)types make sense?[preview](https://coder.com/docs/@aws-ec2-arch/admin/infrastructure/validated-architectures#aws-instance-types)---------Co-authored-by: EdwardAngert <17991901+EdwardAngert@users.noreply.github.com>
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‎docs/admin/infrastructure/validated-architectures/1k-users.md

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| Users| Node capacity| Replicas| GCP| AWS| Azure|
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|-------------|---------------------|--------------------------|-----------------|------------|-------------------|
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| Up to 1,000| 2 vCPU, 8 GB memory| 1-2 nodes, 1 coderd each|`n1-standard-2`|`t3.large`|`Standard_D2s_v3`|
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| Up to 1,000| 2 vCPU, 8 GB memory| 1-2 nodes, 1 coderd each|`n1-standard-2`|`m5.large`|`Standard_D2s_v3`|
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**Footnotes**:
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| Users| Node capacity| Replicas| GCP| AWS| Azure|
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|-------------|----------------------|-------------------------------|------------------|--------------|-------------------|
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| Up to 1,000| 8 vCPU, 32 GB memory| 2 nodes, 30 provisioners each|`t2d-standard-8`|`t3.2xlarge`|`Standard_D8s_v3`|
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| Up to 1,000| 8 vCPU, 32 GB memory| 2 nodes, 30 provisioners each|`t2d-standard-8`|`c5.2xlarge`|`Standard_D8s_v3`|
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**Footnotes**:
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| Users| Node capacity| Replicas| GCP| AWS| Azure|
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|-------------|----------------------|------------------------------|------------------|--------------|-------------------|
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| Up to 1,000| 8 vCPU, 32 GB memory| 64 nodes, 16 workspaces each|`t2d-standard-8`|`t3.2xlarge`|`Standard_D8s_v3`|
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| Up to 1,000| 8 vCPU, 32 GB memory| 64 nodes, 16 workspaces each|`t2d-standard-8`|`m5.2xlarge`|`Standard_D8s_v3`|
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**Footnotes**:
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| Users| Node capacity| Replicas| Storage| GCP| AWS| Azure|
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|-------------|---------------------|----------|---------|--------------------|---------------|-------------------|
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| Up to 1,000| 2 vCPU, 8 GB memory| 1 node| 512 GB|`db-custom-2-7680`|`db.t3.large`|`Standard_D2s_v3`|
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| Up to 1,000| 2 vCPU, 8 GB memory| 1 node| 512 GB|`db-custom-2-7680`|`db.m5.large`|`Standard_D2s_v3`|
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**Footnotes for AWS instance types**:
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- For production deployments, we recommend using non-burstable instance types,
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such as`m5` or`c5`, instead of burstable instances, such as`t3`.
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Burstable instances can experience significant performance degradation once
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CPU credits are exhausted, leading to poor user experience under sustained load.

‎docs/admin/infrastructure/validated-architectures/2k-users.md

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| Users| Node capacity| Replicas| GCP| AWS| Azure|
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|-------------|----------------------|------------------------|-----------------|-------------|-------------------|
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| Up to 2,000| 4 vCPU, 16 GB memory| 2 nodes, 1 coderd each|`n1-standard-4`|`t3.xlarge`|`Standard_D4s_v3`|
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| Up to 2,000| 4 vCPU, 16 GB memory| 2 nodes, 1 coderd each|`n1-standard-4`|`m5.xlarge`|`Standard_D4s_v3`|
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###Provisioner nodes
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| Users| Node capacity| Replicas| GCP| AWS| Azure|
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|-------------|----------------------|-------------------------------|------------------|--------------|-------------------|
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| Up to 2,000| 8 vCPU, 32 GB memory| 4 nodes, 30 provisioners each|`t2d-standard-8`|`t3.2xlarge`|`Standard_D8s_v3`|
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| Up to 2,000| 8 vCPU, 32 GB memory| 4 nodes, 30 provisioners each|`t2d-standard-8`|`c5.2xlarge`|`Standard_D8s_v3`|
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**Footnotes**:
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| Users| Node capacity| Replicas| GCP| AWS| Azure|
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|-------------|----------------------|-------------------------------|------------------|--------------|-------------------|
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| Up to 2,000| 8 vCPU, 32 GB memory| 128 nodes, 16 workspaces each|`t2d-standard-8`|`t3.2xlarge`|`Standard_D8s_v3`|
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| Up to 2,000| 8 vCPU, 32 GB memory| 128 nodes, 16 workspaces each|`t2d-standard-8`|`m5.2xlarge`|`Standard_D8s_v3`|
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**Footnotes**:
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| Users| Node capacity| Replicas| Storage| GCP| AWS| Azure|
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|-------------|----------------------|----------|---------|---------------------|----------------|-------------------|
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| Up to 2,000| 4 vCPU, 16 GB memory| 1 node| 1 TB|`db-custom-4-15360`|`db.t3.xlarge`|`Standard_D4s_v3`|
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| Up to 2,000| 4 vCPU, 16 GB memory| 1 node| 1 TB|`db-custom-4-15360`|`db.m5.xlarge`|`Standard_D4s_v3`|
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**Footnotes**:
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- Consider adding more replicas if the workspace activity is higher than 500
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workspace builds per day or to achieve higher RPS.
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**Footnotes for AWS instance types**:
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- For production deployments, we recommend using non-burstable instance types,
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such as`m5` or`c5`, instead of burstable instances, such as`t3`.
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Burstable instances can experience significant performance degradation once
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CPU credits are exhausted, leading to poor user experience under sustained load.

‎docs/admin/infrastructure/validated-architectures/3k-users.md

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| Users| Node capacity| Replicas| GCP| AWS| Azure|
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|-------------|----------------------|-----------------------|-----------------|-------------|-------------------|
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| Up to 3,000| 8 vCPU, 32 GB memory| 4 node, 1 coderd each|`n1-standard-4`|`t3.xlarge`|`Standard_D4s_v3`|
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| Up to 3,000| 8 vCPU, 32 GB memory| 4 node, 1 coderd each|`n1-standard-4`|`m5.xlarge`|`Standard_D4s_v3`|
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###Provisioner nodes
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| Users| Node capacity| Replicas| GCP| AWS| Azure|
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|-------------|----------------------|-------------------------------|------------------|--------------|-------------------|
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| Up to 3,000| 8 vCPU, 32 GB memory| 8 nodes, 30 provisioners each|`t2d-standard-8`|`t3.2xlarge`|`Standard_D8s_v3`|
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| Up to 3,000| 8 vCPU, 32 GB memory| 8 nodes, 30 provisioners each|`t2d-standard-8`|`c5.2xlarge`|`Standard_D8s_v3`|
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**Footnotes**:
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| Users| Node capacity| Replicas| GCP| AWS| Azure|
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|-------------|----------------------|-------------------------------|------------------|--------------|-------------------|
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| Up to 3,000| 8 vCPU, 32 GB memory| 256 nodes, 12 workspaces each|`t2d-standard-8`|`t3.2xlarge`|`Standard_D8s_v3`|
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| Up to 3,000| 8 vCPU, 32 GB memory| 256 nodes, 12 workspaces each|`t2d-standard-8`|`m5.2xlarge`|`Standard_D8s_v3`|
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**Footnotes**:
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| Users| Node capacity| Replicas| Storage| GCP| AWS| Azure|
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|-------------|----------------------|----------|---------|---------------------|-----------------|-------------------|
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| Up to 3,000| 8 vCPU, 32 GB memory| 2 nodes| 1.5 TB|`db-custom-8-30720`|`db.t3.2xlarge`|`Standard_D8s_v3`|
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| Up to 3,000| 8 vCPU, 32 GB memory| 2 nodes| 1.5 TB|`db-custom-8-30720`|`db.m5.2xlarge`|`Standard_D8s_v3`|
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**Footnotes**:
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- Consider adding more replicas if the workspace activity is higher than 1500
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workspace builds per day or to achieve higher RPS.
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**Footnotes for AWS instance types**:
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- For production deployments, we recommend using non-burstable instance types,
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such as`m5` or`c5`, instead of burstable instances, such as`t3`.
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Burstable instances can experience significant performance degradation once
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CPU credits are exhausted, leading to poor user experience under sustained load.

‎docs/admin/infrastructure/validated-architectures/index.md

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-[Up to 3,000 users](3k-users.md)
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###AWS Instance Types
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For production AWS deployments, we recommend using non-burstable instance types,
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such as`m5` or`c5`, instead of burstable instances, such as`t3`.
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Burstable instances can experience significant performance degradation once
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CPU credits are exhausted, leading to poor user experience under sustained load.
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| Component| Recommended Instance Type| Reason|
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|-------------------|---------------------------|----------------------------------------------------------|
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| coderd nodes|`m5`| Balanced compute and memory for API and UI serving.|
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| Provisioner nodes|`c5`| Compute-optimized performance for faster builds.|
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| Workspace nodes|`m5`| Balanced performance for general development workloads.|
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| Database nodes|`db.m5`| Consistent database performance for reliable operations.|
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###Networking
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It is likely your enterprise deploys Kubernetes clusters with various networking

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