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diff --git a/doc/administration/reference_architectures/2k_users.md b/doc/administration/reference_architectures/2k_users.md index ff3db877553..0af4dbc8a7f 100644 --- a/doc/administration/reference_architectures/2k_users.md +++ b/doc/administration/reference_architectures/2k_users.md @@ -1,5 +1,4 @@ --- -reading_time: true stage: Enablement group: Distribution info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments @@ -15,23 +14,24 @@ For a full list of reference architectures, see > - **High Availability:** No. For a highly-available environment, you can > follow a modified [3K reference architecture](3k_users.md#supported-modifications-for-lower-user-counts-ha). > - **Test requests per second (RPS) rates:** API: 40 RPS, Web: 4 RPS, Git (Pull): 4 RPS, Git (Push): 1 RPS +> - **[Latest 2k weekly performance testing results](https://gitlab.com/gitlab-org/quality/performance/-/wikis/Benchmarks/Latest/2k)** | Service | Nodes | Configuration | GCP | AWS | Azure | |------------------------------------------|--------|-------------------------|-----------------|--------------|----------| -| 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` | +| Load balancer<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` | +| PostgreSQL<sup>1</sup> | 1 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` | +| Redis<sup>2</sup> | 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(4) | n/a | n/a | n/a | n/a | n/a | +| Object storage<sup>4</sup> | 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. +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: @@ -444,10 +444,7 @@ To configure the Gitaly server, on the server node you want to use for Gitaly: 1. Edit the Gitaly server node's `/etc/gitlab/gitlab.rb` file to configure storage paths, enable the network listener, and to configure the token: - <!-- - updates to following example must also be made at - https://gitlab.com/gitlab-org/charts/gitlab/blob/master/doc/advanced/external-gitaly/external-omnibus-gitaly.md#configure-omnibus-gitlab - --> + <!-- Updates to following example must also be made at https://gitlab.com/gitlab-org/charts/gitlab/blob/master/doc/advanced/external-gitaly/external-omnibus-gitaly.md#configure-omnibus-gitlab --> ```ruby # /etc/gitlab/gitlab.rb @@ -557,10 +554,7 @@ To configure Gitaly with TLS: 1. Edit `/etc/gitlab/gitlab.rb` and add: - <!-- - updates to following example must also be made at - https://gitlab.com/gitlab-org/charts/gitlab/blob/master/doc/advanced/external-gitaly/external-omnibus-gitaly.md#configure-omnibus-gitlab - --> + <!-- Updates to following example must also be made at https://gitlab.com/gitlab-org/charts/gitlab/blob/master/doc/advanced/external-gitaly/external-omnibus-gitaly.md#configure-omnibus-gitlab --> ```ruby gitaly['tls_listen_addr'] = "0.0.0.0:9999" @@ -973,6 +967,143 @@ Read: - The [Gitaly and NFS deprecation notice](../gitaly/index.md#nfs-deprecation-notice). - About the [correct mount options to use](../nfs.md#upgrade-to-gitaly-cluster-or-disable-caching-if-experiencing-data-loss). +## Cloud Native Hybrid reference architecture with Helm Charts (alternative) + +As an alternative approach, you can also run select components of GitLab as Cloud Native +in Kubernetes via our official [Helm Charts](https://docs.gitlab.com/charts/). +In this setup, we support running the equivalent of GitLab Rails and Sidekiq nodes +in a Kubernetes cluster, named Webservice and Sidekiq respectively. In addition, +the following other supporting services are supported: NGINX, Task Runner, Migrations, +Prometheus, and Grafana. + +Hybrid installations leverage the benefits of both cloud native and traditional +compute deployments. With this, _stateless_ components can benefit from cloud native +workload management benefits while _stateful_ components are deployed in compute VMs +with Omnibus to benefit from increased permanence. + +The 2,000 reference architecture is not a highly-available setup. To achieve HA, you can follow a modified [3K reference architecture](3k_users.md#cloud-native-hybrid-reference-architecture-with-helm-charts-alternative). + +NOTE: +This is an **advanced** setup. Running services in Kubernetes is well known +to be complex. **This setup is only recommended** if you have strong working +knowledge and experience in Kubernetes. The rest of this +section assumes this. + +### Cluster topology + +The following tables and diagram detail the hybrid environment using the same formats +as the normal environment above. + +First are the components that run in Kubernetes. The recommendation at this time is to +use Google Cloud’s Kubernetes Engine (GKE) and associated machine types, but the memory +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 --> + +Next are the backend components that run on static compute VMs via Omnibus (or External PaaS +services where applicable): + +| Service | Nodes | Configuration | GCP | +|--------------------------------------------|-------|-------------------------|------------------| +| PostgreSQL<sup>1</sup> | 1 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | +| Redis<sup>2</sup> | 1 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | +| Gitaly | 1 | 4 vCPU, 15 GB memory | `n1-standard-4` | +| Object storage<sup>3</sup> | n/a | n/a | n/a | + +<!-- 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. 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: +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 + +card "Kubernetes via Helm Charts" as kubernetes { + card "**External Load Balancer**" as elb #6a9be7 + + together { + collections "**Webservice** x3" as gitlab #32CD32 + collections "**Sidekiq** x2" as sidekiq #ff8dd1 + } + + card "**Prometheus + Grafana**" as monitor #7FFFD4 + card "**Supporting Services**" as support +} + +card "**Gitaly**" as gitaly #FF8C00 +card "**PostgreSQL**" as postgres #4EA7FF +card "**Redis**" as redis #FF6347 +cloud "**Object Storage**" as object_storage #white + +elb -[#6a9be7]-> gitlab +elb -[#6a9be7]--> monitor + +gitlab -[#32CD32]--> gitaly +gitlab -[#32CD32]--> postgres +gitlab -[#32CD32]-> object_storage +gitlab -[#32CD32]--> redis + +sidekiq -[#ff8dd1]--> gitaly +sidekiq -[#ff8dd1]-> object_storage +sidekiq -[#ff8dd1]---> postgres +sidekiq -[#ff8dd1]---> redis + +monitor .[#7FFFD4]u-> gitlab +monitor .[#7FFFD4]-> gitaly +monitor .[#7FFFD4]-> postgres +monitor .[#7FFFD4,norank]--> redis +monitor .[#7FFFD4,norank]u--> elb + +@enduml +``` + +### Resource usage settings + +The following formulas help when calculating how many pods may be deployed within resource constraints. +The [2k reference architecture example values file](https://gitlab.com/gitlab-org/charts/gitlab/-/blob/master/examples/ref/2k.yaml) +documents how to apply the calculated configuration to the Helm Chart. + +#### Webservice + +Webservice pods typically need about 1 vCPU and 1.25 GB of memory _per worker_. +Each Webservice pod consumes roughly 2 vCPUs and 2.5 GB of memory using +the [recommended topology](#cluster-topology) because two worker processes +are created by default and each pod has other small processes running. + +For 2,000 users we recommend a total Puma worker count of around 12. +With the [provided recommendations](#cluster-topology) this allows the deployment of up to 6 +Webservice pods with 2 workers per pod and 2 pods per node. Expand available resources using +the ratio of 1 vCPU to 1.25 GB of memory _per each worker process_ for each additional +Webservice pod. + +For further information on resource usage, see the [Webservice resources](https://docs.gitlab.com/charts/charts/gitlab/webservice/#resources). + +#### Sidekiq + +Sidekiq pods should generally have 1 vCPU and 2 GB of memory. + +[The provided starting point](#cluster-topology) allows the deployment of up to +2 Sidekiq pods. Expand available resources using the 1 vCPU to 2GB memory +ratio for each additional pod. + +For further information on resource usage, see the [Sidekiq resources](https://docs.gitlab.com/charts/charts/gitlab/sidekiq/#resources). + <div align="right"> <a type="button" class="btn btn-default" href="#setup-components"> Back to setup components <i class="fa fa-angle-double-up" aria-hidden="true"></i> |