Skip to content

G
gitlab-ce
Commit 3b170f98 authored by Grant Young's avatar Grant Young Committed by Achilleas Pipinellis
Browse files
Options

Add recommendations for k8s in RA docs

parent 134c16cc
Hide whitespace changes
Inline Side-by-side
Showing with 60 additions and 66 deletions
doc/administration/reference_architectures/10k_users.md
View file @ 3b170f98
......@@ -2228,17 +2228,16 @@ use Google Cloud's Kubernetes Engine (GKE) and associated machine types, but the
and CPU requirements should translate to most other providers. We hope to update this in the
future with further specific cloud provider details.
| Service | Nodes<sup>1</sup> | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------------------|-------------------------|------------------|-----------------------------|
| Webservice | 4 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | 127.5 vCPU, 118 GB memory |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | 15.5 vCPU, 50 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 4 vCPU, 15 GB memory | `n1-standard-4` | 7.75 vCPU, 25 GB memory |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
In production deployments there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
<!-- markdownlint-enable MD029 -->
| Service | Nodes | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------|-------------------------|------------------|-----------------------------|
| Webservice | 4 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | 127.5 vCPU, 118 GB memory |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | 15.5 vCPU, 50 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 4 vCPU, 15 GB memory | `n1-standard-4` | 7.75 vCPU, 25 GB memory |
- For this setup, we **recommend** and regularly [test](index.md#testing-process-and-results)
[Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
- Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
- In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
services where applicable):
......
doc/administration/reference_architectures/25k_users.md
View file @ 3b170f98
......@@ -2226,17 +2226,16 @@ use Google Cloud's Kubernetes Engine (GKE) and associated machine types, but the
and CPU requirements should translate to most other providers. We hope to update this in the
future with further specific cloud provider details.
| Service | Nodes<sup>1</sup> | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------------------|-------------------------|------------------|-----------------------------|
| Webservice | 7 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | 223 vCPU, 206.5 GB memory |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | 15.5 vCPU, 50 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 4 vCPU, 15 GB memory | `n1-standard-4` | 7.75 vCPU, 25 GB memory |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
In production deployments there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
<!-- markdownlint-enable MD029 -->
| Service | Nodes | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------|-------------------------|------------------|-----------------------------|
| Webservice | 7 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | 223 vCPU, 206.5 GB memory |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | 15.5 vCPU, 50 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 4 vCPU, 15 GB memory | `n1-standard-4` | 7.75 vCPU, 25 GB memory |
- For this setup, we **recommend** and regularly [test](index.md#testing-process-and-results)
[Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
- Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
- In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
services where applicable):
......
doc/administration/reference_architectures/2k_users.md
View file @ 3b170f98
......@@ -1016,17 +1016,16 @@ use Google Cloud's Kubernetes Engine (GKE) and associated machine types, but the
and CPU requirements should translate to most other providers. We hope to update this in the
future with further specific cloud provider details.
| Service | Nodes<sup>1</sup> | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------------------|------------------------|-----------------|-----------------------------|
| Webservice | 3 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | 23.7 vCPU, 16.9 GB memory |
| Sidekiq | 2 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | 3.9 vCPU, 11.8 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | 1.9 vCPU, 5.5 GB memory |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
In production deployments there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
<!-- markdownlint-enable MD029 -->
| Service | Nodes | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------|------------------------|-----------------|-----------------------------|
| Webservice | 3 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | 23.7 vCPU, 16.9 GB memory |
| Sidekiq | 2 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | 3.9 vCPU, 11.8 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | 1.9 vCPU, 5.5 GB memory |
- For this setup, we **recommend** and regularly [test](index.md#testing-process-and-results)
[Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
- Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
- In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
services where applicable):
......
doc/administration/reference_architectures/3k_users.md
View file @ 3b170f98
......@@ -2185,17 +2185,16 @@ use Google Cloud's Kubernetes Engine (GKE) and associated machine types, but the
and CPU requirements should translate to most other providers. We hope to update this in the
future with further specific cloud provider details.
| Service | Nodes<sup>1</sup> | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------------------|-------------------------|------------------|-----------------------------|
| Webservice | 2 | 16 vCPU, 14.4 GB memory | `n1-highcpu-16` | 31.8 vCPU, 24.8 GB memory |
| Sidekiq | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | 11.8 vCPU, 38.9 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | 3.9 vCPU, 11.8 GB memory |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
In production deployments there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
<!-- markdownlint-enable MD029 -->
| Service | Nodes | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------|-------------------------|------------------|-----------------------------|
| Webservice | 2 | 16 vCPU, 14.4 GB memory | `n1-highcpu-16` | 31.8 vCPU, 24.8 GB memory |
| Sidekiq | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | 11.8 vCPU, 38.9 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | 3.9 vCPU, 11.8 GB memory |
- For this setup, we **recommend** and regularly [test](index.md#testing-process-and-results)
[Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
- Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
- In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
services where applicable):
......
doc/administration/reference_architectures/50k_users.md
View file @ 3b170f98
......@@ -2242,17 +2242,16 @@ use Google Cloud's Kubernetes Engine (GKE) and associated machine types, but the
and CPU requirements should translate to most other providers. We hope to update this in the
future with further specific cloud provider details.
| Service | Nodes<sup>1</sup> | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------------------|-------------------------|------------------|-----------------------------|
| Webservice | 16 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | 510 vCPU, 472 GB memory |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | 15.5 vCPU, 50 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 4 vCPU, 15 GB memory | `n1-standard-4` | 7.75 vCPU, 25 GB memory |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
In production deployments there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
<!-- markdownlint-enable MD029 -->
| Service | Nodes | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------|-------------------------|------------------|-----------------------------|
| Webservice | 16 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | 510 vCPU, 472 GB memory |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | 15.5 vCPU, 50 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 4 vCPU, 15 GB memory | `n1-standard-4` | 7.75 vCPU, 25 GB memory |
- For this setup, we **recommend** and regularly [test](index.md#testing-process-and-results)
[Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
- Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
- In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
services where applicable):
......
doc/administration/reference_architectures/5k_users.md
View file @ 3b170f98
......@@ -2161,17 +2161,16 @@ use Google Cloud's Kubernetes Engine (GKE) and associated machine types, but the
and CPU requirements should translate to most other providers. We hope to update this in the
future with further specific cloud provider details.
| Service | Nodes<sup>1</sup> | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------------------|-------------------------|------------------|-----------------------------|
| Webservice | 5 | 16 vCPU, 14.4 GB memory | `n1-highcpu-16` | 79.5 vCPU, 62 GB memory |
| Sidekiq | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | 11.8 vCPU, 38.9 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | 3.9 vCPU, 11.8 GB memory |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
In production deployments there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
<!-- markdownlint-enable MD029 -->
| Service | Nodes | Configuration | GCP | Allocatable CPUs and Memory |
|-------------------------------------------------------|-------|-------------------------|------------------|-----------------------------|
| Webservice | 5 | 16 vCPU, 14.4 GB memory | `n1-highcpu-16` | 79.5 vCPU, 62 GB memory |
| Sidekiq | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | 11.8 vCPU, 38.9 GB memory |
| Supporting services such as NGINX, Prometheus | 2 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | 3.9 vCPU, 11.8 GB memory |
- For this setup, we **recommend** and regularly [test](index.md#testing-process-and-results)
[Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
- Nodes configuration is shown as it is forced to ensure pod vcpu / memory ratios and avoid scaling during **performance testing**.
- In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
services where applicable):
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment
GitLab Nexedi Edition | About GitLab | About Nexedi | 沪ICP备2021021310号-2 | 沪ICP备2021021310号-7