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chore: adopt markdownlint and markdown-table-formatter for *.md (#15831)

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Co-authored-by: Edward Angert <EdwardAngert@users.noreply.github.com>
This commit is contained in:
Muhammad Atif Ali
2025-01-03 13:12:59 +00:00
committed by GitHub
co-authored by Edward Angert
parent 08463c27d8
commit 94f5d52fdc
255 changed files with 18279 additions and 16786 deletions
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docs/admin/infrastructure/validated-architectures/1k-users.md
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@@ -13,7 +13,7 @@ tech startups, educational units, or small to mid-sized enterprises.
### Coderd nodes
| Users | Node capacity | Replicas | GCP | AWS | Azure |
| ----------- | ------------------- | ------------------- | --------------- | ---------- | ----------------- |
|-------------|---------------------|---------------------|-----------------|------------|-------------------|
| Up to 1,000 | 2 vCPU, 8 GB memory | 1-2 / 1 coderd each | `n1-standard-2` | `t3.large` | `Standard_D2s_v3` |
**Footnotes**:
@@ -24,7 +24,7 @@ tech startups, educational units, or small to mid-sized enterprises.
### Provisioner nodes
| 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` |
**Footnotes**:
@@ -34,7 +34,7 @@ tech startups, educational units, or small to mid-sized enterprises.
### Workspace nodes
| Users | Node capacity | Replicas | GCP | AWS | Azure |
| ----------- | -------------------- | ----------------------- | ---------------- | ------------ | ----------------- |
|-------------|----------------------|-------------------------|------------------|--------------|-------------------|
| Up to 1,000 | 8 vCPU, 32 GB memory | 64 / 16 workspaces each | `t2d-standard-8` | `t3.2xlarge` | `Standard_D8s_v3` |
**Footnotes**:
@@ -47,5 +47,5 @@ tech startups, educational units, or small to mid-sized enterprises.
### Database nodes
| Users | Node capacity | Replicas | Storage | GCP | AWS | Azure |
| ----------- | ------------------- | -------- | ------- | ------------------ | ------------- | ----------------- |
|-------------|---------------------|----------|---------|--------------------|---------------|-------------------|
| Up to 1,000 | 2 vCPU, 8 GB memory | 1 | 512 GB | `db-custom-2-7680` | `db.t3.large` | `Standard_D2s_v3` |
docs/admin/infrastructure/validated-architectures/2k-users.md
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@@ -18,13 +18,13 @@ deployment reliability under load.
### Coderd nodes
| 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` |
### 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` |
**Footnotes**:
@@ -37,7 +37,7 @@ deployment reliability under load.
### Workspace nodes
| Users | Node capacity | Replicas | GCP | AWS | Azure |
| ----------- | -------------------- | ------------------------ | ---------------- | ------------ | ----------------- |
|-------------|----------------------|--------------------------|------------------|--------------|-------------------|
| Up to 2,000 | 8 vCPU, 32 GB memory | 128 / 16 workspaces each | `t2d-standard-8` | `t3.2xlarge` | `Standard_D8s_v3` |
**Footnotes**:
@@ -50,7 +50,7 @@ deployment reliability under load.
### Database nodes
| Users | Node capacity | Replicas | Storage | GCP | AWS | Azure |
| ----------- | -------------------- | -------- | ------- | ------------------- | -------------- | ----------------- |
|-------------|----------------------|----------|---------|---------------------|----------------|-------------------|
| Up to 2,000 | 4 vCPU, 16 GB memory | 1 | 1 TB | `db-custom-4-15360` | `db.t3.xlarge` | `Standard_D4s_v3` |
**Footnotes**:
docs/admin/infrastructure/validated-architectures/3k-users.md
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@@ -19,13 +19,13 @@ continuously improve the reliability and performance of the platform.
### Coderd nodes
| Users | Node capacity | Replicas | GCP | AWS | Azure |
| ----------- | -------------------- | ----------------- | --------------- | ----------- | ----------------- |
|-------------|----------------------|-------------------|-----------------|-------------|-------------------|
| Up to 3,000 | 8 vCPU, 32 GB memory | 4 / 1 coderd each | `n1-standard-4` | `t3.xlarge` | `Standard_D4s_v3` |
### Provisioner nodes
| Users | Node capacity | Replicas | GCP | AWS | Azure |
| ----------- | -------------------- | ------------------------ | ---------------- | ------------ | ----------------- |
|-------------|----------------------|--------------------------|------------------|--------------|-------------------|
| Up to 3,000 | 8 vCPU, 32 GB memory | 8 / 30 provisioners each | `t2d-standard-8` | `t3.2xlarge` | `Standard_D8s_v3` |
**Footnotes**:
@@ -39,7 +39,7 @@ continuously improve the reliability and performance of the platform.
### Workspace nodes
| 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` |
**Footnotes**:
@@ -53,7 +53,7 @@ continuously improve the reliability and performance of the platform.
### Database nodes
| Users | Node capacity | Replicas | Storage | GCP | AWS | Azure |
| ----------- | -------------------- | -------- | ------- | ------------------- | --------------- | ----------------- |
|-------------|----------------------|----------|---------|---------------------|-----------------|-------------------|
| Up to 3,000 | 8 vCPU, 32 GB memory | 2 | 1.5 TB | `db-custom-8-30720` | `db.t3.2xlarge` | `Standard_D8s_v3` |
**Footnotes**:
docs/admin/infrastructure/validated-architectures/index.md
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@@ -23,7 +23,7 @@ This guide targets the following personas. It assumes a basic understanding of
cloud/on-premise computing, containerization, and the Coder platform.
| Role | Description |
| ------------------------- | ------------------------------------------------------------------------------ |
|---------------------------|--------------------------------------------------------------------------------|
| Platform Engineers | Responsible for deploying, operating the Coder deployment and infrastructure |
| Enterprise Architects | Responsible for architecting Coder deployments to meet enterprise requirements |
| Managed Service Providers | Entities that deploy and run Coder software as a service for customers |
@@ -31,7 +31,7 @@ cloud/on-premise computing, containerization, and the Coder platform.
## CVA Guidance
| CVA provides: | CVA does not provide: |
| ---------------------------------------------- | ---------------------------------------------------------------------------------------- |
|------------------------------------------------|------------------------------------------------------------------------------------------|
| Single and multi-region K8s deployment options | Prescribing OS, or cloud vs. on-premise |
| Reference architectures for up to 3,000 users | An approval of your architecture; the CVA solely provides recommendations and guidelines |
| Best practices for building a Coder deployment | Recommendations for every possible deployment scenario |