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Commit b3ebe15e authored by Achilleas Pipinellis's avatar Achilleas Pipinellis
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Merge branch 'DarwinJS-node-pod-and-paas-updates' into 'master' 

Clarify node and pod relationships, and PaaS allowances

See merge request gitlab-org/gitlab!62316
parents 56ff9a45 2bd2a0b9
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doc/administration/reference_architectures/25k_users.md
View file @ b3ebe15e
......@@ -17,29 +17,34 @@ full list of reference architectures, see
| Service | Nodes | Configuration | GCP | AWS | Azure |
|------------------------------------------|-------------|-------------------------|------------------|--------------|-----------|
| External load balancing node | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Consul* | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL* | 3 | 16 vCPU, 60 GB memory | `n1-standard-1` | `m5.4xlarge` | `D16s v3` |
| PgBouncer* | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node | 1 | 4 vCPU, 3.6GB memory | `n1-highcpu-4` | `c5.large` | `F2s v2` |
| Redis - Cache** | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis - Queues / Shared State** | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis Sentinel - Cache** | 3 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `c5.large` | `A1 v2` |
| Redis Sentinel - Queues / Shared State** | 3 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `c5.large` | `A1 v2` |
| External load balancing node(3) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Consul(1) | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL(1) | 3 | 16 vCPU, 60 GB memory | `n1-standard-1` | `m5.4xlarge` | `D16s v3` |
| PgBouncer(1) | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node(3) | 1 | 4 vCPU, 3.6GB memory | `n1-highcpu-4` | `c5.large` | `F2s v2` |
| Redis - Cache(2) | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis - Queues / Shared State(2) | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis Sentinel - Cache(2) | 3 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `c5.large` | `A1 v2` |
| Redis Sentinel - Queues / Shared State(2)| 3 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `c5.large` | `A1 v2` |
| Gitaly | 3 | 32 vCPU, 120 GB memory | `n1-standard-32` | `m5.8xlarge` | `D32s v3` |
| Praefect | 3 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Praefect PostgreSQL* | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Praefect PostgreSQL(1) | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| GitLab Rails | 5 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `c5.9xlarge` | `F32s v2` |
| Monitoring node | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Object storage | n/a | n/a | n/a | n/a | n/a |
| NFS server | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Object storage(4) | n/a | n/a | n/a | n/a | n/a |
| NFS server (optional, not recommended) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work, however Azure Database for PostgreSQL is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to performance issues. Consul is primarily used for PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However it is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. Google Memorystore and AWS Elasticache are known to work.
3. Can be optionally run on reputable third-party load balancing services (LB PaaS). AWS ELB is known to work.
4. Should be run on reputable third party object storage (storage PaaS) for cloud implementations. Google Cloud Storage and AWS S3 are known to work.
<!-- markdownlint-enable MD029 -->
NOTE:
Components marked with * can be optionally run on reputable
third party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work.
Components marked with ** can be optionally run on reputable
third party external PaaS Redis solutions. Google Memorystore and AWS ElastiCache are known to work.
For all PaaS solutions that involve configuring instances, it is strongly recommended to implement a minimum of three nodes in three different availability zones to align with resilient cloud architecture practices.
```plantuml
@startuml 25k
......
doc/administration/reference_architectures/2k_users.md
View file @ b3ebe15e
......@@ -18,20 +18,24 @@ For a full list of reference architectures, see
| Service | Nodes | Configuration | GCP | AWS | Azure |
|------------------------------------------|--------|-------------------------|-----------------|--------------|----------|
| Load balancer | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL* | 1 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| Redis** | 1 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `m5.large` | `D2s v3` |
| Load balancer(3) | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL(1) | 1 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| Redis(2) | 1 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `m5.large` | `D2s v3` |
| Gitaly | 1 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| GitLab Rails | 2 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` | `F8s v2` |
| Monitoring node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Object storage | n/a | n/a | n/a | n/a | n/a |
| Object storage(4) | n/a | n/a | n/a | n/a | n/a |
| NFS server (optional, not recommended) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work, however Azure Database for PostgreSQL is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to performance issues. Consul is primarily used for PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However it is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run as reputable third party external PaaS Redis solutions. Google Memorystore and AWS Elasticache are known to work.
3. Can be optionally run as reputable third party load balancing services (LB PaaS). AWS ELB is known to work.
4. Should be run on reputable third party object storage (storage PaaS) for cloud implementations. Google Cloud Storage and AWS S3 are known to work.
<!-- markdownlint-enable MD029 -->
NOTE:
Components marked with * can be optionally run on reputable
third party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work.
Components marked with ** can be optionally run on reputable
third party external PaaS Redis solutions. Google Memorystore and AWS ElastiCache are known to work.
For all PaaS solutions that involve configuring instances, it is strongly recommended to implement a minimum of three nodes in three different availability zones to align with resilient cloud architecture practices.
```plantuml
@startuml 2k
......
doc/administration/reference_architectures/3k_users.md
View file @ b3ebe15e
......@@ -27,26 +27,31 @@ For a full list of reference architectures, see
| Service | Nodes | Configuration | GCP | AWS | Azure |
|--------------------------------------------|-------------|-----------------------|-----------------|--------------|----------|
| External load balancing node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Redis** | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| Consul* + Sentinel** | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL* | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| PgBouncer* | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| External load balancing node(3) | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Redis(2) | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| Consul(1) + Sentinel(2) | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL(1) | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| PgBouncer(1) | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node(3) | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Gitaly | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Praefect | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Praefect PostgreSQL* | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Praefect PostgreSQL(1) | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Sidekiq | 4 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| GitLab Rails | 3 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` | `F8s v2` |
| Monitoring node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Object storage | n/a | n/a | n/a | n/a | n/a |
| Object storage(4) | n/a | n/a | n/a | n/a | n/a |
| NFS server (optional, not recommended) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work, however Azure Database for PostgreSQL is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to performance issues. Consul is primarily used for PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However it is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. Google Memorystore and AWS Elasticache are known to work.
3. Can be optionally run on reputable third-party load balancing services (LB PaaS). AWS ELB is known to work.
4. Should be run on reputable third party object storage (storage PaaS) for cloud implementations. Google Cloud Storage and AWS S3 are known to work.
<!-- markdownlint-enable MD029 -->
NOTE:
Components marked with * can be optionally run on reputable
third party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work.
Components marked with ** can be optionally run on reputable
third party external PaaS Redis solutions. Google Memorystore and AWS ElastiCache are known to work.
For all PaaS solutions that involve configuring instances, it is strongly recommended to implement a minimum of three nodes in three different availability zones to align with resilient cloud architecture practices.
```plantuml
@startuml 3k
......
doc/administration/reference_architectures/50k_users.md
View file @ b3ebe15e
......@@ -17,29 +17,34 @@ full list of reference architectures, see
| Service | Nodes | Configuration | GCP | AWS | Azure |
|------------------------------------------|-------------|-------------------------|------------------|---------------|-----------|
| External load balancing node | 1 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` | `F8s v2` |
| Consul* | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL* | 3 | 32 vCPU, 120 GB memory | `n1-standard-32` | `m5.8xlarge` | `D32s v3` |
| PgBouncer* | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node | 1 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` | `F8s v2` |
| Redis - Cache** | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis - Queues / Shared State** | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis Sentinel - Cache** | 3 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `c5.large` | `A1 v2` |
| Redis Sentinel - Queues / Shared State** | 3 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `c5.large` | `A1 v2` |
| External load balancing node(3) | 1 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` | `F8s v2` |
| Consul(1) | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL(1) | 3 | 32 vCPU, 120 GB memory | `n1-standard-32` | `m5.8xlarge` | `D32s v3` |
| PgBouncer(1) | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node(3) | 1 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` | `F8s v2` |
| Redis - Cache(2) | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis - Queues / Shared State(2) | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis Sentinel - Cache(2) | 3 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `c5.large` | `A1 v2` |
| Redis Sentinel - Queues / Shared State(2)| 3 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `c5.large` | `A1 v2` |
| Gitaly | 3 | 64 vCPU, 240 GB memory | `n1-standard-64` | `m5.16xlarge` | `D64s v3` |
| Praefect | 3 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Praefect PostgreSQL* | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Praefect PostgreSQL(1) | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| GitLab Rails | 12 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `c5.9xlarge` | `F32s v2` |
| Monitoring node | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Object storage | n/a | n/a | n/a | n/a | n/a |
| NFS server | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Object storage(4) | n/a | n/a | n/a | n/a | n/a |
| NFS server (optional, not recommended) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work, however Azure Database for PostgreSQL is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to performance issues. Consul is primarily used for PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However it is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. Google Memorystore and AWS Elasticache are known to work.
3. Can be optionally run on reputable third-party load balancing services (LB PaaS). AWS ELB is known to work.
4. Should be run on reputable third party object storage (storage PaaS) for cloud implementations. Google Cloud Storage and AWS S3 are known to work.
<!-- markdownlint-enable MD029 -->
NOTE:
Components marked with * can be optionally run on reputable
third party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work.
Components marked with ** can be optionally run on reputable
third party external PaaS Redis solutions. Google Memorystore and AWS ElastiCache are known to work.
For all PaaS solutions that involve configuring instances, it is strongly recommended to implement a minimum of three nodes in three different availability zones to align with resilient cloud architecture practices.
```plantuml
@startuml 50k
......
doc/administration/reference_architectures/5k_users.md
View file @ b3ebe15e
......@@ -24,26 +24,31 @@ costly-to-operate environment by using the
| Service | Nodes | Configuration | GCP | AWS | Azure |
|--------------------------------------------|-------------|-------------------------|-----------------|--------------|----------|
| External load balancing node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Redis** | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| Consul* + Sentinel** | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL* | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| PgBouncer* | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| External load balancing node(3) | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Redis(2) | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| Consul(1) + Sentinel(2) | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL(1) | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| PgBouncer(1) | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node(3) | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Gitaly | 3 | 8 vCPU, 30 GB memory | `n1-standard-8` | `m5.2xlarge` | `D8s v3` |
| Praefect | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Praefect PostgreSQL* | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Praefect PostgreSQL(1) | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Sidekiq | 4 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| GitLab Rails | 3 | 16 vCPU, 14.4 GB memory | `n1-highcpu-16` | `c5.4xlarge` | `F16s v2`|
| Monitoring node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Object storage | n/a | n/a | n/a | n/a | n/a |
| Object storage(4) | n/a | n/a | n/a | n/a | n/a |
| NFS server (optional, not recommended) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work, however Azure Database for PostgreSQL is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to performance issues. Consul is primarily used for PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However it is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. Google Memorystore and AWS Elasticache are known to work.
3. Can be optionally run on reputable third-party load balancing services (LB PaaS). AWS ELB is known to work.
4. Should be run on reputable third party object storage (storage PaaS) for cloud implementations. Google Cloud Storage and AWS S3 are known to work.
<!-- markdownlint-enable MD029 -->
NOTE:
Components marked with * can be optionally run on reputable
third party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work.
Components marked with ** can be optionally run on reputable
third party external PaaS Redis solutions. Google Memorystore and AWS ElastiCache are known to work.
For all PaaS solutions that involve configuring instances, it is strongly recommended to implement a minimum of three nodes in three different availability zones to align with resilient cloud architecture practices.
```plantuml
@startuml 5k
......
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