diff --git a/doc/administration/reference_architectures/10k_users.md b/doc/administration/reference_architectures/10k_users.md index f295237357e18abf7678b6bc5e83e962cf9d34d9..2c0509e3b354094c425a8e70c752f4e79e9e3342 100644 --- a/doc/administration/reference_architectures/10k_users.md +++ b/doc/administration/reference_architectures/10k_users.md @@ -2535,7 +2535,7 @@ For further information on resource usage, see the [Webservice resources](https: Sidekiq pods should generally have 1 vCPU and 2 GB of memory. [The provided starting point](#cluster-topology) allows the deployment of up to -16 Sidekiq pods. Expand available resources using the 1 vCPU to 2GB memory +14 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). diff --git a/doc/administration/reference_architectures/50k_users.md b/doc/administration/reference_architectures/50k_users.md index 8cccafcedb9fecbe6a349df53ae74281bc322161..add90d377d18b76623708388315f07a4020450eb 100644 --- a/doc/administration/reference_architectures/50k_users.md +++ b/doc/administration/reference_architectures/50k_users.md @@ -2381,6 +2381,188 @@ 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 +Kubernetes, you can reap certain cloud native workload management benefits while +the others are deployed in compute VMs with Omnibus as described above in this +page. + +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 will assume this. + +### Cluster topology + +The following tables and diagram details the hybrid environment using the same formats +as the normal environment above. + +First starting with the components that run in Kubernetes. The recommendations at this +time 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(1) | 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, etc. | 2 | 4 vCPU, 15 GB memory | `n1-standard-4` | 7.75 vCPU, 25 GB memory | + + + +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. + + +Next are the backend components that run on static compute VMs via Omnibus (or External PaaS +services where applicable): + +| Service | Nodes | Configuration | GCP | +|--------------------------------------------|-------|-------------------------|------------------| +| Consul(1) | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | +| PostgreSQL(1) | 3 | 32 vCPU, 120 GB memory | `n1-standard-32` | +| PgBouncer(1) | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | +| Internal load balancing node(3) | 1 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | +| Redis - Cache(2) | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | +| Redis - Queues / Shared State(2) | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | +| Redis Sentinel - Cache(2) | 3 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | +| Redis Sentinel - Queues / Shared State(2) | 3 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | +| Gitaly | 3 | 64 vCPU, 240 GB memory | `n1-standard-64` | +| Praefect | 3 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | +| Praefect PostgreSQL(1) | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | +| Object storage(4) | n/a | n/a | n/a | + + + +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. + + +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 50k + +card "Kubernetes via Helm Charts" as kubernetes { + card "**External Load Balancer**" as elb #6a9be7 + + together { + collections "**Webservice** x16" as gitlab #32CD32 + collections "**Sidekiq** x4" as sidekiq #ff8dd1 + } + + card "**Prometheus + Grafana**" as monitor #7FFFD4 + card "**Supporting Services**" as support +} + +card "**Internal Load Balancer**" as ilb #9370DB +collections "**Consul** x3" as consul #e76a9b + +card "Gitaly Cluster" as gitaly_cluster { + collections "**Praefect** x3" as praefect #FF8C00 + collections "**Gitaly** x3" as gitaly #FF8C00 + card "**Praefect PostgreSQL***\n//Non fault-tolerant//" as praefect_postgres #FF8C00 + + praefect -[#FF8C00]-> gitaly + praefect -[#FF8C00]> praefect_postgres +} + +card "Database" as database { + collections "**PGBouncer** x3" as pgbouncer #4EA7FF + card "**PostgreSQL** (Primary)" as postgres_primary #4EA7FF + collections "**PostgreSQL** (Secondary) x2" as postgres_secondary #4EA7FF + + pgbouncer -[#4EA7FF]-> postgres_primary + postgres_primary .[#4EA7FF]> postgres_secondary +} + +card "redis" as redis { + collections "**Redis Persistent** x3" as redis_persistent #FF6347 + collections "**Redis Cache** x3" as redis_cache #FF6347 + collections "**Redis Persistent Sentinel** x3" as redis_persistent_sentinel #FF6347 + collections "**Redis Cache Sentinel** x3"as redis_cache_sentinel #FF6347 + + redis_persistent <.[#FF6347]- redis_persistent_sentinel + redis_cache <.[#FF6347]- redis_cache_sentinel +} + +cloud "**Object Storage**" as object_storage #white + +elb -[#6a9be7]-> gitlab +elb -[#6a9be7]-> monitor +elb -[hidden]-> support + +gitlab -[#32CD32]> sidekiq +gitlab -[#32CD32]--> ilb +gitlab -[#32CD32]-> object_storage +gitlab -[#32CD32]---> redis +gitlab -[hidden]--> consul + +sidekiq -[#ff8dd1]--> ilb +sidekiq -[#ff8dd1]-> object_storage +sidekiq -[#ff8dd1]---> redis +sidekiq -[hidden]--> consul + +ilb -[#9370DB]-> gitaly_cluster +ilb -[#9370DB]-> database + +consul .[#e76a9b]-> database +consul .[#e76a9b]-> gitaly_cluster +consul .[#e76a9b,norank]--> redis + +monitor .[#7FFFD4]> consul +monitor .[#7FFFD4]-> database +monitor .[#7FFFD4]-> gitaly_cluster +monitor .[#7FFFD4,norank]--> redis +monitor .[#7FFFD4]> ilb +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 [50k reference architecture example values file](https://gitlab.com/gitlab-org/charts/gitlab/-/blob/master/examples/ref/50k.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 will consume roughly 4 vCPUs and 5 GB of memory using +the [recommended topology](#cluster-topology) because four worker processes +are created by default and each pod has other small processes running. + +For 50k users we recommend a total Puma worker count of around 320. +With the [provided recommendations](#cluster-topology) this allows the deployment of up to 80 +Webservice pods with 4 workers per pod and 5 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 +14 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). +
Back to setup components diff --git a/doc/administration/reference_architectures/index.md b/doc/administration/reference_architectures/index.md index d3fd845122be2acbfc76235e0e764a191916c642..8fee83ec6705aeaae30ddc10ddce62dc2e196ec1 100644 --- a/doc/administration/reference_architectures/index.md +++ b/doc/administration/reference_architectures/index.md @@ -72,6 +72,7 @@ The following reference architectures are available: The following Cloud Native Hybrid reference architectures, where select recommended components can be run in Kubernetes, are available: - [Up to 10,000 users](10k_users.md#cloud-native-hybrid-reference-architecture-with-helm-charts-alternative) +- [Up to 50,000 users](50k_users.md#cloud-native-hybrid-reference-architecture-with-helm-charts-alternative) A GitLab [Premium or Ultimate](https://about.gitlab.com/pricing/#self-managed) license is required to get assistance from Support with troubleshooting the [2,000 users](2k_users.md)