debian-mirror-gitlab/doc/administration/reference_architectures/10k_users.md
2022-08-13 15:12:31 +05:30

107 KiB

stage group info
Systems Distribution 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

Reference architecture: up to 10,000 users (PREMIUM SELF)

This page describes GitLab reference architecture for up to 10,000 users. For a full list of reference architectures, see Available reference architectures.

  • Supported users (approximate): 10,000
  • High Availability: Yes (Praefect needs a third-party PostgreSQL solution for HA)
  • Estimated Costs: See cost table
  • Cloud Native Hybrid Alternative: Yes
  • Validation and test results: The Quality Engineering team does regular smoke and performance tests to ensure the reference architectures remain compliant
    • Test requests per second (RPS) rates: API: 200 RPS, Web: 20 RPS, Git (Pull): 20 RPS, Git (Push): 4 RPS
    • Latest Results
Service Nodes Configuration GCP AWS Azure
External load balancing node3 1 2 vCPU, 1.8 GB memory n1-highcpu-2 c5.large F2s v2
Consul1 3 2 vCPU, 1.8 GB memory n1-highcpu-2 c5.large F2s v2
PostgreSQL1 3 8 vCPU, 30 GB memory n1-standard-8 m5.2xlarge D8s v3
PgBouncer1 3 2 vCPU, 1.8 GB memory n1-highcpu-2 c5.large F2s v2
Internal load balancing node3 1 2 vCPU, 1.8 GB memory n1-highcpu-2 c5.large F2s v2
Redis/Sentinel - Cache2 3 4 vCPU, 15 GB memory n1-standard-4 m5.xlarge D4s v3
Redis/Sentinel - Persistent2 3 4 vCPU, 15 GB memory n1-standard-4 m5.xlarge D4s v3
Gitaly5 3 16 vCPU, 60 GB memory n1-standard-16 m5.4xlarge D16s v3
Praefect5 3 2 vCPU, 1.8 GB memory n1-highcpu-2 c5.large F2s v2
Praefect PostgreSQL1 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 3 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 storage4 Not applicable Not applicable Not applicable Not applicable Not applicable
NFS server (non-Gitaly) 1 4 vCPU, 3.6 GB memory n1-highcpu-4 c5.xlarge F4s v2
  1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. Google Cloud SQL and Amazon RDS are known to work. However, Amazon Aurora is incompatible with load balancing enabled by default in 14.4.0, and Azure Database for PostgreSQL is not recommended due to performance issues. Consul is primarily used for PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul 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.
  5. Gitaly Cluster provides the benefits of fault tolerance, but comes with additional complexity of setup and management. Review the existing technical limitations and considerations before deploying Gitaly Cluster. If you want sharded Gitaly, use the same specs listed above for Gitaly.

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.

@startuml 10k
skinparam linetype ortho

card "**External Load Balancer**" as elb #6a9be7
card "**Internal Load Balancer**" as ilb #9370DB

together {
  collections "**GitLab Rails** x3" as gitlab #32CD32
  collections "**Sidekiq** x4" as sidekiq #ff8dd1
}

together {
  card "**Prometheus + Grafana**" as monitor #7FFFD4
  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

  redis_cache -[hidden]-> redis_persistent
}

cloud "**Object Storage**" as object_storage #white

elb -[#6a9be7]-> gitlab
elb -[#6a9be7,norank]--> monitor

gitlab -[#32CD32,norank]--> ilb
gitlab -[#32CD32]r-> object_storage
gitlab -[#32CD32]----> redis
gitlab .[#32CD32]----> database
gitlab -[hidden]-> monitor
gitlab -[hidden]-> consul

sidekiq -[#ff8dd1,norank]--> ilb
sidekiq -[#ff8dd1]r-> object_storage
sidekiq -[#ff8dd1]----> redis
sidekiq .[#ff8dd1]----> database
sidekiq -[hidden]-> monitor
sidekiq -[hidden]-> consul

ilb -[#9370DB]--> gitaly_cluster
ilb -[#9370DB]--> database
ilb -[hidden]--> redis
ilb -[hidden]u-> consul
ilb -[hidden]u-> monitor

consul .[#e76a9b]u-> gitlab
consul .[#e76a9b]u-> sidekiq
consul .[#e76a9b]r-> monitor
consul .[#e76a9b]-> database
consul .[#e76a9b]-> gitaly_cluster
consul .[#e76a9b,norank]--> redis

monitor .[#7FFFD4]u-> gitlab
monitor .[#7FFFD4]u-> sidekiq
monitor .[#7FFFD4]> consul
monitor .[#7FFFD4]-> database
monitor .[#7FFFD4]-> gitaly_cluster
monitor .[#7FFFD4,norank]--> redis
monitor .[#7FFFD4]> ilb
monitor .[#7FFFD4,norank]u--> elb

@enduml

Requirements

Before starting, you should take note of the following requirements / guidance for this reference architecture.

Supported CPUs

This reference architecture was built and tested on Google Cloud Platform (GCP) using the Intel Xeon E5 v3 (Haswell) CPU platform. On different hardware you may find that adjustments, either lower or higher, are required for your CPU or node counts. For more information, see our Sysbench-based CPU benchmarks.

Supported infrastructure

As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP, Azure) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.

Be aware of the following specific call outs:

Praefect PostgreSQL

It's worth noting that at this time Praefect requires its own database server and that to achieve full High Availability a third-party PostgreSQL database solution will be required. We hope to offer a built in solutions for these restrictions in the future but in the meantime a non HA PostgreSQL server can be set up via Omnibus GitLab, which the above specs reflect. Refer to the following issues for more information: omnibus-gitlab#5919 & gitaly#3398.

Setup components

To set up GitLab and its components to accommodate up to 10,000 users:

  1. Configure the external load balancer to handle the load balancing of the GitLab application services nodes.
  2. Configure the internal load balancer. to handle the load balancing of GitLab application internal connections.
  3. Configure Consul.
  4. Configure PostgreSQL, the database for GitLab.
  5. Configure PgBouncer.
  6. Configure Redis.
  7. Configure Gitaly Cluster, provides access to the Git repositories.
  8. Configure Sidekiq.
  9. Configure the main GitLab Rails application to run Puma, Workhorse, GitLab Shell, and to serve all frontend requests (which include UI, API, and Git over HTTP/SSH).
  10. Configure Prometheus to monitor your GitLab environment.
  11. Configure the object storage used for shared data objects.
  12. Configure Advanced Search (optional) for faster, more advanced code search across your entire GitLab instance.
  13. Configure NFS to have shared disk storage service for certain GitLab operations (non Gitaly or Object Storage).

The servers start on the same 10.6.0.0/24 private network range, and can connect to each other freely on these addresses.

The following list includes descriptions of each server and its assigned IP:

  • 10.6.0.10: External Load Balancer
  • 10.6.0.11: Consul 1
  • 10.6.0.12: Consul 2
  • 10.6.0.13: Consul 3
  • 10.6.0.21: PostgreSQL primary
  • 10.6.0.22: PostgreSQL secondary 1
  • 10.6.0.23: PostgreSQL secondary 2
  • 10.6.0.31: PgBouncer 1
  • 10.6.0.32: PgBouncer 2
  • 10.6.0.33: PgBouncer 3
  • 10.6.0.40: Internal Load Balancer
  • 10.6.0.51: Redis - Cache Primary
  • 10.6.0.52: Redis - Cache Replica 1
  • 10.6.0.53: Redis - Cache Replica 2
  • 10.6.0.61: Redis - Persistent Primary
  • 10.6.0.62: Redis - Persistent Replica 1
  • 10.6.0.63: Redis - Persistent Replica 2
  • 10.6.0.91: Gitaly 1
  • 10.6.0.92: Gitaly 2
  • 10.6.0.93: Gitaly 3
  • 10.6.0.131: Praefect 1
  • 10.6.0.132: Praefect 2
  • 10.6.0.133: Praefect 3
  • 10.6.0.141: Praefect PostgreSQL 1 (non HA)
  • 10.6.0.101: Sidekiq 1
  • 10.6.0.102: Sidekiq 2
  • 10.6.0.103: Sidekiq 3
  • 10.6.0.104: Sidekiq 4
  • 10.6.0.111: GitLab application 1
  • 10.6.0.112: GitLab application 2
  • 10.6.0.113: GitLab application 3
  • 10.6.0.151: Prometheus

Configure the external load balancer

In a multi-node GitLab configuration, you'll need a load balancer to route traffic to the application servers. The specifics on which load balancer to use or its exact configuration is beyond the scope of GitLab documentation. We assume that if you're managing multi-node systems like GitLab, you already have a load balancer of choice and that the routing methods used are distributing calls evenly between all nodes. Some load balancer examples include HAProxy (open-source), F5 Big-IP LTM, and Citrix Net Scaler. This documentation outline the ports and protocols needed for use with GitLab.

This architecture has been tested and validated with HAProxy as the load balancer. Although other load balancers with similar feature sets could also be used, those load balancers have not been validated.

The next question is how you will handle SSL in your environment. There are several different options:

Application node terminates SSL

Configure your load balancer to pass connections on port 443 as TCP rather than HTTP(S) protocol. This will pass the connection to the application node's NGINX service untouched. NGINX will have the SSL certificate and listen on port 443.

See the NGINX HTTPS documentation for details on managing SSL certificates and configuring NGINX.

Load balancer terminates SSL without backend SSL

Configure your load balancer to use the HTTP(S) protocol rather than TCP. The load balancer will then be responsible for managing SSL certificates and terminating SSL.

Since communication between the load balancer and GitLab will not be secure, there is some additional configuration needed. See the NGINX proxied SSL documentation for details.

Load balancer terminates SSL with backend SSL

Configure your load balancers to use the 'HTTP(S)' protocol rather than 'TCP'. The load balancers will be responsible for managing SSL certificates that end users will see.

Traffic will also be secure between the load balancers and NGINX in this scenario. There is no need to add configuration for proxied SSL since the connection will be secure all the way. However, configuration will need to be added to GitLab to configure SSL certificates. See NGINX HTTPS documentation for details on managing SSL certificates and configuring NGINX.

Readiness checks

Ensure the external load balancer only routes to working services with built in monitoring endpoints. The readiness checks all require additional configuration on the nodes being checked, otherwise, the external load balancer will not be able to connect.

Ports

The basic ports to be used are shown in the table below.

LB Port Backend Port Protocol
80 80 HTTP (1)
443 443 TCP or HTTPS (1) (2)
22 22 TCP
  • (1): Web terminal support requires your load balancer to correctly handle WebSocket connections. When using HTTP or HTTPS proxying, this means your load balancer must be configured to pass through the Connection and Upgrade hop-by-hop headers. See the web terminal integration guide for more details.
  • (2): When using HTTPS protocol for port 443, you will need to add an SSL certificate to the load balancers. If you wish to terminate SSL at the GitLab application server instead, use TCP protocol.

If you're using GitLab Pages with custom domain support you will need some additional port configurations. GitLab Pages requires a separate virtual IP address. Configure DNS to point the pages_external_url from /etc/gitlab/gitlab.rb at the new virtual IP address. See the GitLab Pages documentation for more information.

LB Port Backend Port Protocol
80 Varies (1) HTTP
443 Varies (1) TCP (2)
  • (1): The backend port for GitLab Pages depends on the gitlab_pages['external_http'] and gitlab_pages['external_https'] setting. See GitLab Pages documentation for more details.
  • (2): Port 443 for GitLab Pages should always use the TCP protocol. Users can configure custom domains with custom SSL, which would not be possible if SSL was terminated at the load balancer.

Alternate SSH Port

Some organizations have policies against opening SSH port 22. In this case, it may be helpful to configure an alternate SSH hostname that allows users to use SSH on port 443. An alternate SSH hostname will require a new virtual IP address compared to the other GitLab HTTP configuration above.

Configure DNS for an alternate SSH hostname such as altssh.gitlab.example.com.

LB Port Backend Port Protocol
443 22 TCP

Configure the internal load balancer

The Internal Load Balancer is used to balance any internal connections the GitLab environment requires such as connections to PgBouncer and Praefect (Gitaly Cluster).

It's a separate node from the External Load Balancer and shouldn't have any access externally.

The following IP will be used as an example:

  • 10.6.0.40: Internal Load Balancer

Here's how you could do it with HAProxy:

global
    log /dev/log local0
    log localhost local1 notice
    log stdout format raw local0

defaults
    log global
    default-server inter 10s fall 3 rise 2
    balance leastconn

frontend internal-pgbouncer-tcp-in
    bind *:6432
    mode tcp
    option tcplog

    default_backend pgbouncer

frontend internal-praefect-tcp-in
    bind *:2305
    mode tcp
    option tcplog
    option clitcpka

    default_backend praefect

backend pgbouncer
    mode tcp
    option tcp-check

    server pgbouncer1 10.6.0.21:6432 check
    server pgbouncer2 10.6.0.22:6432 check
    server pgbouncer3 10.6.0.23:6432 check

backend praefect
    mode tcp
    option tcp-check
    option srvtcpka

    server praefect1 10.6.0.131:2305 check
    server praefect2 10.6.0.132:2305 check
    server praefect3 10.6.0.133:2305 check

Refer to your preferred Load Balancer's documentation for further guidance. Also ensure that the routing methods used are distributing calls evenly across all nodes.

Configure Consul

The following IPs will be used as an example:

  • 10.6.0.11: Consul 1
  • 10.6.0.12: Consul 2
  • 10.6.0.13: Consul 3

To configure Consul:

  1. SSH in to the server that will host Consul.

  2. Download and install the Omnibus GitLab package of your choice. Be sure to both follow only installation steps 1 and 2 on the page, and to select the correct Omnibus GitLab package, with the same version and type (Community or Enterprise editions) as your current install.

  3. Edit /etc/gitlab/gitlab.rb and add the contents:

    roles(['consul_role'])
    
    ## Enable service discovery for Prometheus
    consul['monitoring_service_discovery'] =  true
    
    ## The IPs of the Consul server nodes
    ## You can also use FQDNs and intermix them with IPs
    consul['configuration'] = {
       server: true,
       retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13),
    }
    
    # Set the network addresses that the exporters will listen on
    node_exporter['listen_address'] = '0.0.0.0:9100'
    
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
    
  4. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  5. Reconfigure Omnibus GitLab for the changes to take effect.

  6. Go through the steps again for all the other Consul nodes, and make sure you set up the correct IPs.

A Consul leader is elected when the provisioning of the third Consul server is complete. Viewing the Consul logs sudo gitlab-ctl tail consul displays ...[INFO] consul: New leader elected: ....

You can list the current Consul members (server, client):

sudo /opt/gitlab/embedded/bin/consul members

You can verify the GitLab services are running:

sudo gitlab-ctl status

The output should be similar to the following:

run: consul: (pid 30074) 76834s; run: log: (pid 29740) 76844s
run: logrotate: (pid 30925) 3041s; run: log: (pid 29649) 76861s
run: node-exporter: (pid 30093) 76833s; run: log: (pid 29663) 76855s

Configure PostgreSQL

In this section, you'll be guided through configuring a highly available PostgreSQL cluster to be used with GitLab.

Provide your own PostgreSQL instance

If you're hosting GitLab on a cloud provider, you can optionally use a managed service for PostgreSQL.

A reputable provider or solution should be used for this. Google Cloud SQL and Amazon RDS are known to work. However, Amazon Aurora is incompatible with load balancing enabled by default in 14.4.0, and Azure Database for PostgreSQL is not recommended due to performance issues.

If you use a cloud-managed service, or provide your own PostgreSQL:

  1. Set up PostgreSQL according to the database requirements document.
  2. Set up a gitlab username with a password of your choice. The gitlab user needs privileges to create the gitlabhq_production database.
  3. Configure the GitLab application servers with the appropriate details. This step is covered in Configuring the GitLab Rails application.
  4. For improved performance, configuring Database Load Balancing with multiple read replicas is recommended.

See Configure GitLab using an external PostgreSQL service for further configuration steps.

Standalone PostgreSQL using Omnibus GitLab

The recommended Omnibus GitLab configuration for a PostgreSQL cluster with replication and failover requires:

  • A minimum of three PostgreSQL nodes.

  • A minimum of three Consul server nodes.

  • A minimum of three PgBouncer nodes that track and handle primary database reads and writes.

  • Database Load Balancing enabled.

    A local PgBouncer service to be configured on each PostgreSQL node. Note that this is separate from the main PgBouncer cluster that tracks the primary.

The following IPs will be used as an example:

  • 10.6.0.21: PostgreSQL primary
  • 10.6.0.22: PostgreSQL secondary 1
  • 10.6.0.23: PostgreSQL secondary 2

First, make sure to install the Linux GitLab package on each node. Following the steps, install the necessary dependencies from step 1, and add the GitLab package repository from step 2. When installing GitLab in the second step, do not supply the EXTERNAL_URL value.

PostgreSQL nodes

  1. SSH in to one of the PostgreSQL nodes.

  2. Generate a password hash for the PostgreSQL username/password pair. This assumes you will use the default username of gitlab (recommended). The command will request a password and confirmation. Use the value that is output by this command in the next step as the value of <postgresql_password_hash>:

    sudo gitlab-ctl pg-password-md5 gitlab
    
  3. Generate a password hash for the PgBouncer username/password pair. This assumes you will use the default username of pgbouncer (recommended). The command will request a password and confirmation. Use the value that is output by this command in the next step as the value of <pgbouncer_password_hash>:

    sudo gitlab-ctl pg-password-md5 pgbouncer
    
  4. Generate a password hash for the PostgreSQL replication username/password pair. This assumes you will use the default username of gitlab_replicator (recommended). The command will request a password and a confirmation. Use the value that is output by this command in the next step as the value of <postgresql_replication_password_hash>:

    sudo gitlab-ctl pg-password-md5 gitlab_replicator
    
  5. Generate a password hash for the Consul database username/password pair. This assumes you will use the default username of gitlab-consul (recommended). The command will request a password and confirmation. Use the value that is output by this command in the next step as the value of <consul_password_hash>:

    sudo gitlab-ctl pg-password-md5 gitlab-consul
    
  6. On every database node, edit /etc/gitlab/gitlab.rb replacing values noted in the # START user configuration section:

    # Disable all components except Patroni, PgBouncer and Consul
    roles(['patroni_role', 'pgbouncer_role'])
    
    # PostgreSQL configuration
    postgresql['listen_address'] = '0.0.0.0'
    
    # Sets `max_replication_slots` to double the number of database nodes.
    # Patroni uses one extra slot per node when initiating the replication.
    patroni['postgresql']['max_replication_slots'] = 6
    
    # Set `max_wal_senders` to one more than the number of replication slots in the cluster.
    # This is used to prevent replication from using up all of the
    # available database connections.
    patroni['postgresql']['max_wal_senders'] = 7
    
    # Incoming recommended value for max connections is 500. See https://gitlab.com/gitlab-org/omnibus-gitlab/-/issues/5691.
    patroni['postgresql']['max_connections'] = 500
    
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
    
    # Configure the Consul agent
    consul['services'] = %w(postgresql)
    ## Enable service discovery for Prometheus
    consul['monitoring_service_discovery'] =  true
    
    # START user configuration
    # Please set the real values as explained in Required Information section
    #
    # Replace PGBOUNCER_PASSWORD_HASH with a generated md5 value
    postgresql['pgbouncer_user_password'] = '<pgbouncer_password_hash>'
    # Replace POSTGRESQL_REPLICATION_PASSWORD_HASH with a generated md5 value
    postgresql['sql_replication_password'] = '<postgresql_replication_password_hash>'
    # Replace POSTGRESQL_PASSWORD_HASH with a generated md5 value
    postgresql['sql_user_password'] = '<postgresql_password_hash>'
    
    # Set up basic authentication for the Patroni API (use the same username/password in all nodes).
    patroni['username'] = '<patroni_api_username>'
    patroni['password'] = '<patroni_api_password>'
    
    # Replace 10.6.0.0/24 with Network Addresses for your other patroni nodes
    patroni['allowlist'] = %w(10.6.0.0/24 127.0.0.1/32)
    
    # Replace 10.6.0.0/24 with Network Address
    postgresql['trust_auth_cidr_addresses'] = %w(10.6.0.0/24 127.0.0.1/32)
    
    # Local PgBouncer service for Database Load Balancing
    pgbouncer['databases'] = {
       gitlabhq_production: {
          host: "127.0.0.1",
          user: "pgbouncer",
          password: '<pgbouncer_password_hash>'
       }
    }
    
    # Set the network addresses that the exporters will listen on for monitoring
    node_exporter['listen_address'] = '0.0.0.0:9100'
    postgres_exporter['listen_address'] = '0.0.0.0:9187'
    
    ## The IPs of the Consul server nodes
    ## You can also use FQDNs and intermix them with IPs
    consul['configuration'] = {
       retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13),
    }
    #
    # END user configuration
    

PostgreSQL, with Patroni managing its failover, will default to use pg_rewind by default to handle conflicts. Like most failover handling methods, this has a small chance of leading to data loss. Learn more about the various Patroni replication methods.

  1. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  2. Reconfigure GitLab for the changes to take effect.

Advanced configuration options are supported and can be added if needed.

PostgreSQL post-configuration

SSH in to any of the Patroni nodes on the primary site:

  1. Check the status of the leader and cluster:

    gitlab-ctl patroni members
    

    The output should be similar to the following:

    | Cluster       | Member                            |  Host     | Role   | State   | TL  | Lag in MB | Pending restart |
    |---------------|-----------------------------------|-----------|--------|---------|-----|-----------|-----------------|
    | postgresql-ha | <PostgreSQL primary hostname>     | 10.6.0.21 | Leader | running | 175 |           | *               |
    | postgresql-ha | <PostgreSQL secondary 1 hostname> | 10.6.0.22 |        | running | 175 | 0         | *               |
    | postgresql-ha | <PostgreSQL secondary 2 hostname> | 10.6.0.23 |        | running | 175 | 0         | *               |
    

If the 'State' column for any node doesn't say "running", check the Troubleshooting section before proceeding.

Configure PgBouncer

Now that the PostgreSQL servers are all set up, let's configure PgBouncer for tracking and handling reads/writes to the primary database.

The following IPs will be used as an example:

  • 10.6.0.31: PgBouncer 1
  • 10.6.0.32: PgBouncer 2
  • 10.6.0.33: PgBouncer 3
  1. On each PgBouncer node, edit /etc/gitlab/gitlab.rb, and replace <consul_password_hash> and <pgbouncer_password_hash> with the password hashes you set up previously:

    # Disable all components except Pgbouncer and Consul agent
    roles(['pgbouncer_role'])
    
    # Configure PgBouncer
    pgbouncer['admin_users'] = %w(pgbouncer gitlab-consul)
    pgbouncer['users'] = {
       'gitlab-consul': {
          password: '<consul_password_hash>'
       },
       'pgbouncer': {
          password: '<pgbouncer_password_hash>'
       }
    }
    # Incoming recommended value for max db connections is 150. See https://gitlab.com/gitlab-org/omnibus-gitlab/-/issues/5691.
    pgbouncer['max_db_connections'] = 150
    
    # Configure Consul agent
    consul['watchers'] = %w(postgresql)
    consul['configuration'] = {
    retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13)
    }
    
    # Enable service discovery for Prometheus
    consul['monitoring_service_discovery'] = true
    
    # Set the network addresses that the exporters will listen on
    node_exporter['listen_address'] = '0.0.0.0:9100'
    
  2. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  3. Reconfigure Omnibus GitLab for the changes to take effect.

    If an error execute[generate databases.ini] occurs, this is due to an existing known issue. It will be resolved when you run a second reconfigure after the next step.

  4. Create a .pgpass file so Consul is able to reload PgBouncer. Enter the PgBouncer password twice when asked:

    gitlab-ctl write-pgpass --host 127.0.0.1 --database pgbouncer --user pgbouncer --hostuser gitlab-consul
    
  5. Reconfigure GitLab once again to resolve any potential errors from the previous steps.

  6. Ensure each node is talking to the current primary:

    gitlab-ctl pgb-console # You will be prompted for PGBOUNCER_PASSWORD
    
  7. Once the console prompt is available, run the following queries:

    show databases ; show clients ;
    

    The output should be similar to the following:

            name         |  host       | port |      database       | force_user | pool_size | reserve_pool | pool_mode | max_connections | current_connections
    ---------------------+-------------+------+---------------------+------------+-----------+--------------+-----------+-----------------+---------------------
     gitlabhq_production | MASTER_HOST | 5432 | gitlabhq_production |            |        20 |            0 |           |               0 |                   0
     pgbouncer           |             | 6432 | pgbouncer           | pgbouncer  |         2 |            0 | statement |               0 |                   0
    (2 rows)
    
     type |   user    |      database       |  state  |   addr         | port  | local_addr | local_port |    connect_time     |    request_time     |    ptr    | link | remote_pid | tls
    ------+-----------+---------------------+---------+----------------+-------+------------+------------+---------------------+---------------------+-----------+------+------------+-----
     C    | pgbouncer | pgbouncer           | active  | 127.0.0.1      | 56846 | 127.0.0.1  |       6432 | 2017-08-21 18:09:59 | 2017-08-21 18:10:48 | 0x22b3880 |      |          0 |
    (2 rows)
    

Configure Redis

Using Redis in scalable environment is possible using a Primary x Replica topology with a Redis Sentinel service to watch and automatically start the failover procedure.

Redis requires authentication if used with Sentinel. See Redis Security documentation for more information. We recommend using a combination of a Redis password and tight firewall rules to secure your Redis service. You are highly encouraged to read the Redis Sentinel documentation before configuring Redis with GitLab to fully understand the topology and architecture.

The requirements for a Redis setup are the following:

  1. All Redis nodes must be able to talk to each other and accept incoming connections over Redis (6379) and Sentinel (26379) ports (unless you change the default ones).
  2. The server that hosts the GitLab application must be able to access the Redis nodes.
  3. Protect the nodes from access from external networks (Internet), using a firewall.

In this section, you'll be guided through configuring two external Redis clusters to be used with GitLab. The following IPs will be used as an example:

  • 10.6.0.51: Redis - Cache Primary
  • 10.6.0.52: Redis - Cache Replica 1
  • 10.6.0.53: Redis - Cache Replica 2
  • 10.6.0.61: Redis - Persistent Primary
  • 10.6.0.62: Redis - Persistent Replica 1
  • 10.6.0.63: Redis - Persistent Replica 2

Providing your own Redis instance

Managed Redis from cloud providers (such as AWS ElastiCache) will work. If these services support high availability, be sure it isn't of the Redis Cluster type. Redis version 5.0 or higher is required, which is included with Omnibus GitLab packages starting with GitLab 13.0. Older Redis versions don't support an optional count argument to SPOP, which is required for Merge Trains. Note the Redis node's IP address or hostname, port, and password (if required). These will be necessary later when configuring the GitLab application servers.

Configure the Redis Cache cluster

This is the section where we install and set up the new Redis Cache instances.

Both the primary and replica Redis nodes need the same password defined in redis['password']. At any time during a failover, the Sentinels can reconfigure a node and change its status from primary to replica (and vice versa).

Configure the primary Redis Cache node

  1. SSH in to the Primary Redis server.

  2. Download and install the Omnibus GitLab package of your choice. Be sure to both follow only installation steps 1 and 2 on the page, and to select the correct Omnibus GitLab package, with the same version and type (Community or Enterprise editions) as your current install.

  3. Edit /etc/gitlab/gitlab.rb and add the contents:

    # Specify server roles as 'redis_master_role' with sentinel and the Consul agent
    roles ['redis_sentinel_role', 'redis_master_role', 'consul_role']
    
    # Set IP bind address and Quorum number for Redis Sentinel service
    sentinel['bind'] = '0.0.0.0'
    sentinel['quorum'] = 2
    
    # IP address pointing to a local IP that the other machines can reach to.
    # You can also set bind to '0.0.0.0' which listen in all interfaces.
    # If you really need to bind to an external accessible IP, make
    # sure you add extra firewall rules to prevent unauthorized access.
    redis['bind'] = '10.6.0.51'
    
    # Define a port so Redis can listen for TCP requests which will allow other
    # machines to connect to it.
    redis['port'] = 6379
    
    ## Port of primary Redis server for Sentinel, uncomment to change to non default. Defaults
    ## to `6379`.
    #redis['master_port'] = 6379
    
    # Set up password authentication for Redis and replicas (use the same password in all nodes).
    redis['password'] = 'REDIS_PRIMARY_PASSWORD_OF_FIRST_CLUSTER'
    redis['master_password'] = 'REDIS_PRIMARY_PASSWORD_OF_FIRST_CLUSTER'
    
    ## Must be the same in every Redis node
    redis['master_name'] = 'gitlab-redis-cache'
    
    ## The IP of this primary Redis node.
    redis['master_ip'] = '10.6.0.51'
    
    # Set the Redis Cache instance as an LRU
    # 90% of available RAM in MB
    redis['maxmemory'] = '13500mb'
    redis['maxmemory_policy'] = "allkeys-lru"
    redis['maxmemory_samples'] = 5
    
    ## Enable service discovery for Prometheus
    consul['monitoring_service_discovery'] =  true
    
    ## The IPs of the Consul server nodes
    ## You can also use FQDNs and intermix them with IPs
    consul['configuration'] = {
       retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13),
    }
    
    # Set the network addresses that the exporters will listen on
    node_exporter['listen_address'] = '0.0.0.0:9100'
    redis_exporter['listen_address'] = '0.0.0.0:9121'
    redis_exporter['flags'] = {
         'redis.addr' => 'redis://10.6.0.51:6379',
         'redis.password' => 'redis-password-goes-here',
    }
    
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
    
  4. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  5. Reconfigure Omnibus GitLab for the changes to take effect.

Configure the replica Redis Cache nodes

  1. SSH in to the replica Redis server.

  2. Download and install the Omnibus GitLab package of your choice. Be sure to both follow only installation steps 1 and 2 on the page, and to select the correct Omnibus GitLab package, with the same version and type (Community or Enterprise editions) as your current install.

  3. Edit /etc/gitlab/gitlab.rb and add same contents as the primary node in the previous section replacing redis_master_node with redis_replica_node:

    # Specify server roles as 'redis_sentinel_role' and 'redis_replica_role'
    roles ['redis_sentinel_role', 'redis_replica_role', 'consul_role']
    
    # Set IP bind address and Quorum number for Redis Sentinel service
    sentinel['bind'] = '0.0.0.0'
    sentinel['quorum'] = 2
    
    # IP address pointing to a local IP that the other machines can reach to.
    # You can also set bind to '0.0.0.0' which listen in all interfaces.
    # If you really need to bind to an external accessible IP, make
    # sure you add extra firewall rules to prevent unauthorized access.
    redis['bind'] = '10.6.0.52'
    
    # Define a port so Redis can listen for TCP requests which will allow other
    # machines to connect to it.
    redis['port'] = 6379
    
    ## Port of primary Redis server for Sentinel, uncomment to change to non default. Defaults
    ## to `6379`.
    #redis['master_port'] = 6379
    
    # Set up password authentication for Redis and replicas (use the same password in all nodes).
    redis['password'] = 'REDIS_PRIMARY_PASSWORD_OF_FIRST_CLUSTER'
    redis['master_password'] = 'REDIS_PRIMARY_PASSWORD_OF_FIRST_CLUSTER'
    
    ## Must be the same in every Redis node
    redis['master_name'] = 'gitlab-redis-cache'
    
    ## The IP of the primary Redis node.
    redis['master_ip'] = '10.6.0.51'
    
    # Set the Redis Cache instance as an LRU
    # 90% of available RAM in MB
    redis['maxmemory'] = '13500mb'
    redis['maxmemory_policy'] = "allkeys-lru"
    redis['maxmemory_samples'] = 5
    
    ## Enable service discovery for Prometheus
    consul['monitoring_service_discovery'] =  true
    
    ## The IPs of the Consul server nodes
    ## You can also use FQDNs and intermix them with IPs
    consul['configuration'] = {
       retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13),
    }
    
    # Set the network addresses that the exporters will listen on
    node_exporter['listen_address'] = '0.0.0.0:9100'
    redis_exporter['listen_address'] = '0.0.0.0:9121'
    redis_exporter['flags'] = {
         'redis.addr' => 'redis://10.6.0.52:6379',
         'redis.password' => 'redis-password-goes-here',
    }
    
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
    
  4. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  5. Reconfigure Omnibus GitLab for the changes to take effect.

  6. Go through the steps again for all the other replica nodes, and make sure to set up the IPs correctly.

Advanced configuration options are supported and can be added if needed.

Configure the Redis Persistent cluster

This is the section where we install and set up the new Redis Persistent instances.

Both the primary and replica Redis nodes need the same password defined in redis['password']. At any time during a failover, the Sentinels can reconfigure a node and change its status from primary to replica (and vice versa).

Configure the primary Redis Persistent node

  1. SSH in to the Primary Redis server.

  2. Download and install the Omnibus GitLab package of your choice. Be sure to both follow only installation steps 1 and 2 on the page, and to select the correct Omnibus GitLab package, with the same version and type (Community or Enterprise editions) as your current install.

  3. Edit /etc/gitlab/gitlab.rb and add the contents:

    # Specify server roles as 'redis_master_role' with Sentinel and the Consul agent
    roles ['redis_sentinel_role', 'redis_master_role', 'consul_role']
    
    # Set IP bind address and Quorum number for Redis Sentinel service
    sentinel['bind'] = '0.0.0.0'
    sentinel['quorum'] = 2
    
    # IP address pointing to a local IP that the other machines can reach to.
    # You can also set bind to '0.0.0.0' which listen in all interfaces.
    # If you really need to bind to an external accessible IP, make
    # sure you add extra firewall rules to prevent unauthorized access.
    redis['bind'] = '10.6.0.61'
    
    # Define a port so Redis can listen for TCP requests which will allow other
    # machines to connect to it.
    redis['port'] = 6379
    
    ## Port of primary Redis server for Sentinel, uncomment to change to non default. Defaults
    ## to `6379`.
    #redis['master_port'] = 6379
    
    # Set up password authentication for Redis and replicas (use the same password in all nodes).
    redis['password'] = 'REDIS_PRIMARY_PASSWORD_OF_FIRST_CLUSTER'
    redis['master_password'] = 'REDIS_PRIMARY_PASSWORD_OF_SECOND_CLUSTER'
    
    ## Must be the same in every Redis node
    redis['master_name'] = 'gitlab-redis-persistent'
    
    ## The IP of this primary Redis node.
    redis['master_ip'] = '10.6.0.61'
    
    ## Enable service discovery for Prometheus
    consul['monitoring_service_discovery'] =  true
    
    ## The IPs of the Consul server nodes
    ## You can also use FQDNs and intermix them with IPs
    consul['configuration'] = {
       retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13),
    }
    
    # Set the network addresses that the exporters will listen on
    node_exporter['listen_address'] = '0.0.0.0:9100'
    redis_exporter['listen_address'] = '0.0.0.0:9121'
    
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
    
  4. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  5. Reconfigure Omnibus GitLab for the changes to take effect.

Configure the replica Redis Persistent nodes

  1. SSH in to the replica Redis Persistent server.

  2. Download and install the Omnibus GitLab package of your choice. Be sure to both follow only installation steps 1 and 2 on the page, and to select the correct Omnibus GitLab package, with the same version and type (Community or Enterprise editions) as your current install.

  3. Edit /etc/gitlab/gitlab.rb and add the contents:

    # Specify server roles as 'redis_sentinel_role' and 'redis_replica_role'
    roles ['redis_sentinel_role', 'redis_replica_role', 'consul_role']
    
    # Set IP bind address and Quorum number for Redis Sentinel service
    sentinel['bind'] = '0.0.0.0'
    sentinel['quorum'] = 2
    
    # IP address pointing to a local IP that the other machines can reach to.
    # You can also set bind to '0.0.0.0' which listen in all interfaces.
    # If you really need to bind to an external accessible IP, make
    # sure you add extra firewall rules to prevent unauthorized access.
    redis['bind'] = '10.6.0.62'
    
    # Define a port so Redis can listen for TCP requests which will allow other
    # machines to connect to it.
    redis['port'] = 6379
    
    ## Port of primary Redis server for Sentinel, uncomment to change to non default. Defaults
    ## to `6379`.
    #redis['master_port'] = 6379
    
    # The same password for Redis authentication you set up for the primary node.
    redis['password'] = 'REDIS_PRIMARY_PASSWORD_OF_SECOND_CLUSTER'
    redis['master_password'] = 'REDIS_PRIMARY_PASSWORD_OF_SECOND_CLUSTER'
    
    ## Must be the same in every Redis node
    redis['master_name'] = 'gitlab-redis-persistent'
    
    # The IP of the primary Redis node.
    redis['master_ip'] = '10.6.0.61'
    
    ## Enable service discovery for Prometheus
    consul['monitoring_service_discovery'] =  true
    
    ## The IPs of the Consul server nodes
    ## You can also use FQDNs and intermix them with IPs
    consul['configuration'] = {
       retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13),
    }
    
    # Set the network addresses that the exporters will listen on
    node_exporter['listen_address'] = '0.0.0.0:9100'
    redis_exporter['listen_address'] = '0.0.0.0:9121'
    
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
    
  4. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  5. Reconfigure Omnibus GitLab for the changes to take effect.

  6. Go through the steps again for all the other replica nodes, and make sure to set up the IPs correctly.

Advanced configuration options are supported and can be added if needed.

Configure Gitaly Cluster

Gitaly Cluster is a GitLab provided and recommended fault tolerant solution for storing Git repositories. In this configuration, every Git repository is stored on every Gitaly node in the cluster, with one being designated the primary, and failover occurs automatically if the primary node goes down.

NOTE: Gitaly Cluster provides the benefits of fault tolerance, but comes with additional complexity of setup and management. Review the existing technical limitations and considerations before deploying Gitaly Cluster. For implementations with sharded Gitaly, use the same Gitaly specs. Follow the separate Gitaly documentation instead of this section.

The recommended cluster setup includes the following components:

  • 3 Gitaly nodes: Replicated storage of Git repositories.
  • 3 Praefect nodes: Router and transaction manager for Gitaly Cluster.
  • 1 Praefect PostgreSQL node: Database server for Praefect. A third-party solution is required for Praefect database connections to be made highly available.
  • 1 load balancer: A load balancer is required for Praefect. The internal load balancer will be used.

This section will detail how to configure the recommended standard setup in order. For more advanced setups refer to the standalone Gitaly Cluster documentation.

Configure Praefect PostgreSQL

Praefect, the routing and transaction manager for Gitaly Cluster, requires its own database server to store data on Gitaly Cluster status.

If you want to have a highly available setup, Praefect requires a third-party PostgreSQL database. A built-in solution is being worked on.

Praefect non-HA PostgreSQL standalone using Omnibus GitLab

The following IPs will be used as an example:

  • 10.6.0.141: Praefect PostgreSQL

First, make sure to install the Linux GitLab package in the Praefect PostgreSQL node. Following the steps, install the necessary dependencies from step 1, and add the GitLab package repository from step 2. When installing GitLab in the second step, do not supply the EXTERNAL_URL value.

  1. SSH in to the Praefect PostgreSQL node.

  2. Create a strong password to be used for the Praefect PostgreSQL user. Take note of this password as <praefect_postgresql_password>.

  3. Generate the password hash for the Praefect PostgreSQL username/password pair. This assumes you will use the default username of praefect (recommended). The command will request the password <praefect_postgresql_password> and confirmation. Use the value that is output by this command in the next step as the value of <praefect_postgresql_password_hash>:

    sudo gitlab-ctl pg-password-md5 praefect
    
  4. Edit /etc/gitlab/gitlab.rb replacing values noted in the # START user configuration section:

    # Disable all components except PostgreSQL and Consul
    roles(['postgres_role', 'consul_role'])
    
    # PostgreSQL configuration
    postgresql['listen_address'] = '0.0.0.0'
    postgresql['max_connections'] = 200
    
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
    
    # Configure the Consul agent
    ## Enable service discovery for Prometheus
    consul['monitoring_service_discovery'] =  true
    
    # START user configuration
    # Please set the real values as explained in Required Information section
    #
    # Replace PRAEFECT_POSTGRESQL_PASSWORD_HASH with a generated md5 value
    postgresql['sql_user_password'] = "<praefect_postgresql_password_hash>"
    
    # Replace XXX.XXX.XXX.XXX/YY with Network Address
    postgresql['trust_auth_cidr_addresses'] = %w(10.6.0.0/24 127.0.0.1/32)
    
    # Set the network addresses that the exporters will listen on for monitoring
    node_exporter['listen_address'] = '0.0.0.0:9100'
    postgres_exporter['listen_address'] = '0.0.0.0:9187'
    
    ## The IPs of the Consul server nodes
    ## You can also use FQDNs and intermix them with IPs
    consul['configuration'] = {
       retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13),
    }
    #
    # END user configuration
    
  5. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  6. Reconfigure GitLab for the changes to take effect.

  7. Follow the post configuration.

Praefect HA PostgreSQL third-party solution

As noted, a third-party PostgreSQL solution for Praefect's database is recommended if aiming for full High Availability.

There are many third-party solutions for PostgreSQL HA. The solution selected must have the following to work with Praefect:

  • A static IP for all connections that doesn't change on failover.
  • LISTEN SQL functionality must be supported.

NOTE: With a third-party setup, it's possible to colocate Praefect's database on the same server as the main GitLab database as a convenience unless you are using Geo, where separate database instances are required for handling replication correctly. In this setup, the specs of the main database setup shouldn't need to be changed as the impact should be minimal.

A reputable provider or solution should be used for this. Google Cloud SQL and Amazon RDS are known to work. However, Amazon Aurora is incompatible with load balancing enabled by default in 14.4.0, and Azure Database for PostgreSQL is not recommended due to performance issues.

Examples of the above could include Google's Cloud SQL or Amazon RDS.

Once the database is set up, follow the post configuration.

Praefect PostgreSQL post-configuration

After the Praefect PostgreSQL server has been set up, you'll then need to configure the user and database for Praefect to use.

We recommend the user be named praefect and the database praefect_production, and these can be configured as standard in PostgreSQL. The password for the user is the same as the one you configured earlier as <praefect_postgresql_password>.

This is how this would work with a Omnibus GitLab PostgreSQL setup:

  1. SSH in to the Praefect PostgreSQL node.

  2. Connect to the PostgreSQL server with administrative access. The gitlab-psql user should be used here for this as it's added by default in Omnibus. The database template1 is used because it is created by default on all PostgreSQL servers.

    /opt/gitlab/embedded/bin/psql -U gitlab-psql -d template1 -h POSTGRESQL_SERVER_ADDRESS
    
  3. Create the new user praefect, replacing <praefect_postgresql_password>:

    CREATE ROLE praefect WITH LOGIN CREATEDB PASSWORD <praefect_postgresql_password>;
    
  4. Reconnect to the PostgreSQL server, this time as the praefect user:

    /opt/gitlab/embedded/bin/psql -U praefect -d template1 -h POSTGRESQL_SERVER_ADDRESS
    
  5. Create a new database praefect_production:

    CREATE DATABASE praefect_production WITH ENCODING=UTF8;
    

Configure Praefect

Praefect is the router and transaction manager for Gitaly Cluster and all connections to Gitaly go through it. This section details how to configure it.

Praefect requires several secret tokens to secure communications across the Cluster:

  • <praefect_external_token>: Used for repositories hosted on your Gitaly cluster and can only be accessed by Gitaly clients that carry this token.
  • <praefect_internal_token>: Used for replication traffic inside your Gitaly cluster. This is distinct from praefect_external_token because Gitaly clients must not be able to access internal nodes of the Praefect cluster directly; that could lead to data loss.
  • <praefect_postgresql_password>: The Praefect PostgreSQL password defined in the previous section is also required as part of this setup.

Gitaly Cluster nodes are configured in Praefect via a virtual storage. Each storage contains the details of each Gitaly node that makes up the cluster. Each storage is also given a name and this name is used in several areas of the configuration. In this guide, the name of the storage will be default. Also, this guide is geared towards new installs, if upgrading an existing environment to use Gitaly Cluster, you may need to use a different name. Refer to the Praefect documentation for more information.

The following IPs will be used as an example:

  • 10.6.0.131: Praefect 1
  • 10.6.0.132: Praefect 2
  • 10.6.0.133: Praefect 3

To configure the Praefect nodes, on each one:

  1. SSH in to the Praefect server.

  2. Download and install the Omnibus GitLab package of your choice. Be sure to follow only installation steps 1 and 2 on the page.

  3. Edit the /etc/gitlab/gitlab.rb file to configure Praefect:

    NOTE: You can't remove the default entry from virtual_storages because GitLab requires it.

# Avoid running unnecessary services on the Praefect server
gitaly['enable'] = false
postgresql['enable'] = false
redis['enable'] = false
nginx['enable'] = false
puma['enable'] = false
sidekiq['enable'] = false
gitlab_workhorse['enable'] = false
prometheus['enable'] = false
alertmanager['enable'] = false
grafana['enable'] = false
gitlab_exporter['enable'] = false
gitlab_kas['enable'] = false

# Praefect Configuration
praefect['enable'] = true
praefect['listen_addr'] = '0.0.0.0:2305'

# Prevent database migrations from running on upgrade automatically
praefect['auto_migrate'] = false
gitlab_rails['auto_migrate'] = false

# Configure the Consul agent
consul['enable'] = true
## Enable service discovery for Prometheus
consul['monitoring_service_discovery'] = true

# START user configuration
# Please set the real values as explained in Required Information section
#

# Praefect External Token
# This is needed by clients outside the cluster (like GitLab Shell) to communicate with the Praefect cluster
praefect['auth_token'] = '<praefect_external_token>'

# Praefect Database Settings
praefect['database_host'] = '10.6.0.141'
praefect['database_port'] = 5432
# `no_proxy` settings must always be a direct connection for caching
praefect['database_direct_host'] = '10.6.0.141'
praefect['database_direct_port'] = 5432
praefect['database_dbname'] = 'praefect_production'
praefect['database_user'] = 'praefect'
praefect['database_password'] = '<praefect_postgresql_password>'

# Praefect Virtual Storage config
# Name of storage hash must match storage name in git_data_dirs on GitLab
# server ('praefect') and in git_data_dirs on Gitaly nodes ('gitaly-1')
praefect['virtual_storages'] = {
  'default' => {
    'nodes' => {
      'gitaly-1' => {
        'address' => 'tcp://10.6.0.91:8075',
        'token'   => '<praefect_internal_token>'
      },
      'gitaly-2' => {
        'address' => 'tcp://10.6.0.92:8075',
        'token'   => '<praefect_internal_token>'
      },
      'gitaly-3' => {
        'address' => 'tcp://10.6.0.93:8075',
        'token'   => '<praefect_internal_token>'
      },
    }
  }
}

# Set the network addresses that the exporters will listen on for monitoring
node_exporter['listen_address'] = '0.0.0.0:9100'
praefect['prometheus_listen_addr'] = '0.0.0.0:9652'

## The IPs of the Consul server nodes
## You can also use FQDNs and intermix them with IPs
consul['configuration'] = {
   retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13),
}
#
# END user configuration
  1. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  2. Praefect requires to run some database migrations, much like the main GitLab application. For this you should select one Praefect node only to run the migrations, AKA the Deploy Node. This node must be configured first before the others as follows:

    1. In the /etc/gitlab/gitlab.rb file, change the praefect['auto_migrate'] setting value from false to true

    2. To ensure database migrations are only run during reconfigure and not automatically on upgrade, run:

    sudo touch /etc/gitlab/skip-auto-reconfigure
    
    1. Reconfigure GitLab for the changes to take effect and to run the Praefect database migrations.
  3. On all other Praefect nodes, Reconfigure GitLab for the changes to take effect.

Configure Gitaly

The Gitaly server nodes that make up the cluster have requirements that are dependent on data and load.

NOTE: The Reference Architecture specs have been designed with good headroom in mind but for Gitaly, increased specs or additional Gitaly Cluster arrays may be required for notably large data sets or load.

Due to Gitaly having notable input and output requirements, we strongly recommend that all Gitaly nodes use solid-state drives (SSDs). These SSDs should have a throughput of at least 8,000 input/output operations per second (IOPS) for read operations and 2,000 IOPS for write operations. These IOPS values are initial recommendations, and may be adjusted to greater or lesser values depending on the scale of your environment's workload. If you're running the environment on a Cloud provider, refer to their documentation about how to configure IOPS correctly.

Gitaly servers must not be exposed to the public internet, as Gitaly's network traffic is unencrypted by default. The use of a firewall is highly recommended to restrict access to the Gitaly server. Another option is to use TLS.

For configuring Gitaly you should note the following:

  • git_data_dirs should be configured to reflect the storage path for the specific Gitaly node
  • auth_token should be the same as praefect_internal_token

The following IPs will be used as an example:

  • 10.6.0.91: Gitaly 1
  • 10.6.0.92: Gitaly 2
  • 10.6.0.93: Gitaly 3

On each node:

  1. Download and install the Omnibus GitLab package of your choice. Be sure to follow only installation steps 1 and 2 on the page, and do not provide the EXTERNAL_URL value.
  2. Edit the Gitaly server node's /etc/gitlab/gitlab.rb file to configure storage paths, enable the network listener, and to configure the token:
# Avoid running unnecessary services on the Gitaly server
postgresql['enable'] = false
redis['enable'] = false
nginx['enable'] = false
puma['enable'] = false
sidekiq['enable'] = false
gitlab_workhorse['enable'] = false
prometheus['enable'] = false
alertmanager['enable'] = false
grafana['enable'] = false
gitlab_exporter['enable'] = false
gitlab_kas['enable'] = false

# Prevent database migrations from running on upgrade automatically
gitlab_rails['auto_migrate'] = false

# Configure the gitlab-shell API callback URL. Without this, `git push` will
# fail. This can be your 'front door' GitLab URL or an internal load
# balancer.
gitlab_rails['internal_api_url'] = 'https://gitlab.example.com'

# Gitaly
gitaly['enable'] = true

# Make Gitaly accept connections on all network interfaces. You must use
# firewalls to restrict access to this address/port.
# Comment out following line if you only want to support TLS connections
gitaly['listen_addr'] = "0.0.0.0:8075"

# Gitaly Auth Token
# Should be the same as praefect_internal_token
gitaly['auth_token'] = '<praefect_internal_token>'

# Gitaly Pack-objects cache
# Recommended to be enabled for improved performance but can notably increase disk I/O
# Refer to https://docs.gitlab.com/ee/administration/gitaly/configure_gitaly.html#pack-objects-cache for more info
gitaly['pack_objects_cache_enabled'] = true

# Configure the Consul agent
consul['enable'] = true
## Enable service discovery for Prometheus
consul['monitoring_service_discovery'] = true

# START user configuration
# Please set the real values as explained in Required Information section
#
## The IPs of the Consul server nodes
## You can also use FQDNs and intermix them with IPs
consul['configuration'] = {
   retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13),
}

# Set the network addresses that the exporters will listen on for monitoring
node_exporter['listen_address'] = '0.0.0.0:9100'
gitaly['prometheus_listen_addr'] = '0.0.0.0:9236'
#
# END user configuration
  1. Append the following to /etc/gitlab/gitlab.rb for each respective server:

    • On Gitaly node 1:

      git_data_dirs({
        "gitaly-1" => {
          "path" => "/var/opt/gitlab/git-data"
         }
      })
      
    • On Gitaly node 2:

      git_data_dirs({
        "gitaly-2" => {
          "path" => "/var/opt/gitlab/git-data"
         }
      })
      
    • On Gitaly node 3:

      git_data_dirs({
        "gitaly-3" => {
          "path" => "/var/opt/gitlab/git-data"
         }
      })
      
  2. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  3. Save the file, and then reconfigure GitLab.

Gitaly Cluster TLS support

Praefect supports TLS encryption. To communicate with a Praefect instance that listens for secure connections, you must:

  • Use a tls:// URL scheme in the gitaly_address of the corresponding storage entry in the GitLab configuration.
  • Bring your own certificates because this isn't provided automatically. The certificate corresponding to each Praefect server must be installed on that Praefect server.

Additionally the certificate, or its certificate authority, must be installed on all Gitaly servers and on all Praefect clients that communicate with it following the procedure described in GitLab custom certificate configuration (and repeated below).

Note the following:

  • The certificate must specify the address you use to access the Praefect server. You must add the hostname or IP address as a Subject Alternative Name to the certificate.
  • You can configure Praefect servers with both an unencrypted listening address listen_addr and an encrypted listening address tls_listen_addr at the same time. This allows you to do a gradual transition from unencrypted to encrypted traffic, if necessary. To disable the unencrypted listener, set praefect['listen_addr'] = nil.
  • The Internal Load Balancer will also access to the certificates and need to be configured to allow for TLS pass-through. Refer to the load balancers documentation on how to configure this.

To configure Praefect with TLS:

  1. Create certificates for Praefect servers.

  2. On the Praefect servers, create the /etc/gitlab/ssl directory and copy your key and certificate there:

    sudo mkdir -p /etc/gitlab/ssl
    sudo chmod 755 /etc/gitlab/ssl
    sudo cp key.pem cert.pem /etc/gitlab/ssl/
    sudo chmod 644 key.pem cert.pem
    
  3. Edit /etc/gitlab/gitlab.rb and add:

    praefect['tls_listen_addr'] = "0.0.0.0:3305"
    praefect['certificate_path'] = "/etc/gitlab/ssl/cert.pem"
    praefect['key_path'] = "/etc/gitlab/ssl/key.pem"
    
  4. Save the file and reconfigure.

  5. On the Praefect clients (including each Gitaly server), copy the certificates, or their certificate authority, into /etc/gitlab/trusted-certs:

    sudo cp cert.pem /etc/gitlab/trusted-certs/
    
  6. On the Praefect clients (except Gitaly servers), edit git_data_dirs in /etc/gitlab/gitlab.rb as follows:

    git_data_dirs({
      "default" => {
        "gitaly_address" => 'tls://LOAD_BALANCER_SERVER_ADDRESS:3305',
        "gitaly_token" => 'PRAEFECT_EXTERNAL_TOKEN'
      }
    })
    
  7. Save the file and reconfigure GitLab.

Configure Sidekiq

Sidekiq requires connection to the Redis, PostgreSQL and Gitaly instances. Object storage is also required to be configured.

  • 10.6.0.101: Sidekiq 1
  • 10.6.0.102: Sidekiq 2
  • 10.6.0.103: Sidekiq 3
  • 10.6.0.104: Sidekiq 4

To configure the Sidekiq nodes, on each one:

  1. SSH in to the Sidekiq server.
  2. Download and install the Omnibus GitLab package of your choice. Be sure to follow only installation steps 1 and 2 on the page.
  3. Create or edit /etc/gitlab/gitlab.rb and use the following configuration:
# Avoid running unnecessary services on the Sidekiq server
gitaly['enable'] = false
postgresql['enable'] = false
redis['enable'] = false
nginx['enable'] = false
puma['enable'] = false
gitlab_workhorse['enable'] = false
prometheus['enable'] = false
alertmanager['enable'] = false
grafana['enable'] = false
gitlab_exporter['enable'] = false
gitlab_kas['enable'] = false

# External URL
## This should match the URL of the external load balancer
external_url 'https://gitlab.example.com'

# Redis
## Redis connection details
## First cluster that will host the cache
gitlab_rails['redis_cache_instance'] = 'redis://:<REDIS_PRIMARY_PASSWORD_OF_FIRST_CLUSTER>@gitlab-redis-cache'

gitlab_rails['redis_cache_sentinels'] = [
  {host: '10.6.0.51', port: 26379},
  {host: '10.6.0.52', port: 26379},
  {host: '10.6.0.53', port: 26379},
]

## Second cluster that will host the persistent queues, shared state, and actioncable
gitlab_rails['redis_queues_instance'] = 'redis://:<REDIS_PRIMARY_PASSWORD_OF_SECOND_CLUSTER>@gitlab-redis-persistent'
gitlab_rails['redis_shared_state_instance'] = 'redis://:<REDIS_PRIMARY_PASSWORD_OF_SECOND_CLUSTER>@gitlab-redis-persistent'
gitlab_rails['redis_actioncable_instance'] = 'redis://:<REDIS_PRIMARY_PASSWORD_OF_SECOND_CLUSTER>@gitlab-redis-persistent'

gitlab_rails['redis_queues_sentinels'] = [
  {host: '10.6.0.61', port: 26379},
  {host: '10.6.0.62', port: 26379},
  {host: '10.6.0.63', port: 26379},
]
gitlab_rails['redis_shared_state_sentinels'] = [
  {host: '10.6.0.61', port: 26379},
  {host: '10.6.0.62', port: 26379},
  {host: '10.6.0.63', port: 26379},
]
gitlab_rails['redis_actioncable_sentinels'] = [
  {host: '10.6.0.61', port: 26379},
  {host: '10.6.0.62', port: 26379},
  {host: '10.6.0.63', port: 26379},
]

# Gitaly Cluster
## git_data_dirs get configured for the Praefect virtual storage
## Address is Internal Load Balancer for Praefect
## Token is praefect_external_token
git_data_dirs({
  "default" => {
    "gitaly_address" => "tcp://10.6.0.40:2305", # internal load balancer IP
    "gitaly_token" => '<praefect_external_token>'
  }
})

# PostgreSQL
gitlab_rails['db_host'] = '10.6.0.40' # internal load balancer IP
gitlab_rails['db_port'] = 6432
gitlab_rails['db_password'] = '<postgresql_user_password>'
gitlab_rails['db_load_balancing'] = { 'hosts' => ['10.6.0.21', '10.6.0.22', '10.6.0.23'] } # PostgreSQL IPs

## Prevent database migrations from running on upgrade automatically
gitlab_rails['auto_migrate'] = false

# Sidekiq
sidekiqp['enable'] = true
sidekiq['listen_address'] = "0.0.0.0"

# Set number of Sidekiq queue processes to the same number as available CPUs
sidekiq['queue_groups'] = ['*'] * 4

# Set number of Sidekiq threads per queue process to the recommend number of 10
sidekiq['max_concurrency'] = 10

# Monitoring
consul['enable'] = true
consul['monitoring_service_discovery'] =  true

consul['configuration'] = {
   retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13)
}

## Set the network addresses that the exporters will listen on
node_exporter['listen_address'] = '0.0.0.0:9100'

## Add the monitoring node's IP address to the monitoring whitelist
gitlab_rails['monitoring_whitelist'] = ['10.6.0.151/32', '127.0.0.0/8']

# Object Storage
## This is an example for configuring Object Storage on GCP
## Replace this config with your chosen Object Storage provider as desired
gitlab_rails['object_store']['enabled'] = true
gitlab_rails['object_store']['connection'] = {
  'provider' => 'Google',
  'google_project' => '<gcp-project-name>',
  'google_json_key_location' => '<path-to-gcp-service-account-key>'
}
gitlab_rails['object_store']['objects']['artifacts']['bucket'] = "<gcp-artifacts-bucket-name>"
gitlab_rails['object_store']['objects']['external_diffs']['bucket'] = "<gcp-external-diffs-bucket-name>"
gitlab_rails['object_store']['objects']['lfs']['bucket'] = "<gcp-lfs-bucket-name>"
gitlab_rails['object_store']['objects']['uploads']['bucket'] = "<gcp-uploads-bucket-name>"
gitlab_rails['object_store']['objects']['packages']['bucket'] = "<gcp-packages-bucket-name>"
gitlab_rails['object_store']['objects']['dependency_proxy']['bucket'] = "<gcp-dependency-proxy-bucket-name>"
gitlab_rails['object_store']['objects']['terraform_state']['bucket'] = "<gcp-terraform-state-bucket-name>"

gitlab_rails['backup_upload_connection'] = {
  'provider' => 'Google',
  'google_project' => '<gcp-project-name>',
  'google_json_key_location' => '<path-to-gcp-service-account-key>'
}
gitlab_rails['backup_upload_remote_directory'] = "<gcp-backups-state-bucket-name>"
  1. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  2. To ensure database migrations are only run during reconfigure and not automatically on upgrade, run:

    sudo touch /etc/gitlab/skip-auto-reconfigure
    

    Only a single designated node should handle migrations as detailed in the GitLab Rails post-configuration section.

  3. Reconfigure GitLab for the changes to take effect.

NOTE: If you find that the environment's Sidekiq job processing is slow with long queues, more nodes can be added as required. You can also tune your Sidekiq nodes to run multiple Sidekiq processes.

Configure GitLab Rails

This section describes how to configure the GitLab application (Rails) component. Object storage is also required to be configured.

The following IPs will be used as an example:

  • 10.6.0.111: GitLab application 1
  • 10.6.0.112: GitLab application 2
  • 10.6.0.113: GitLab application 3

On each node perform the following:

  1. Download and install the Omnibus GitLab package of your choice. Be sure to follow only installation steps 1 and 2 on the page.

  2. Edit /etc/gitlab/gitlab.rb and use the following configuration. To maintain uniformity of links across nodes, the external_url on the application server should point to the external URL that users will use to access GitLab. This would be the URL of the external load balancer which will route traffic to the GitLab application server:

    external_url 'https://gitlab.example.com'
    
    # git_data_dirs get configured for the Praefect virtual storage
    # Address is Internal Load Balancer for Praefect
    # Token is praefect_external_token
    git_data_dirs({
      "default" => {
        "gitaly_address" => "tcp://10.6.0.40:2305", # internal load balancer IP
        "gitaly_token" => '<praefect_external_token>'
      }
    })
    
    ## Disable components that will not be on the GitLab application server
    roles(['application_role'])
    gitaly['enable'] = false
    nginx['enable'] = true
    sidekiq['enable'] = false
    
    ## PostgreSQL connection details
    # Disable PostgreSQL on the application node
    postgresql['enable'] = false
    gitlab_rails['db_host'] = '10.6.0.20' # internal load balancer IP
    gitlab_rails['db_port'] = 6432
    gitlab_rails['db_password'] = '<postgresql_user_password>'
    gitlab_rails['db_load_balancing'] = { 'hosts' => ['10.6.0.21', '10.6.0.22', '10.6.0.23'] } # PostgreSQL IPs
    
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
    
    ## Redis connection details
    ## First cluster that will host the cache
    gitlab_rails['redis_cache_instance'] = 'redis://:<REDIS_PRIMARY_PASSWORD_OF_FIRST_CLUSTER>@gitlab-redis-cache'
    
    gitlab_rails['redis_cache_sentinels'] = [
      {host: '10.6.0.51', port: 26379},
      {host: '10.6.0.52', port: 26379},
      {host: '10.6.0.53', port: 26379},
    ]
    
    ## Second cluster that will host the persistent queues, shared state, and actionable
    gitlab_rails['redis_queues_instance'] = 'redis://:<REDIS_PRIMARY_PASSWORD_OF_SECOND_CLUSTER>@gitlab-redis-persistent'
    gitlab_rails['redis_shared_state_instance'] = 'redis://:<REDIS_PRIMARY_PASSWORD_OF_SECOND_CLUSTER>@gitlab-redis-persistent'
    gitlab_rails['redis_actioncable_instance'] = 'redis://:<REDIS_PRIMARY_PASSWORD_OF_SECOND_CLUSTER>@gitlab-redis-persistent'
    
    gitlab_rails['redis_queues_sentinels'] = [
      {host: '10.6.0.61', port: 26379},
      {host: '10.6.0.62', port: 26379},
      {host: '10.6.0.63', port: 26379},
    ]
    gitlab_rails['redis_shared_state_sentinels'] = [
      {host: '10.6.0.61', port: 26379},
      {host: '10.6.0.62', port: 26379},
      {host: '10.6.0.63', port: 26379},
    ]
    gitlab_rails['redis_actioncable_sentinels'] = [
      {host: '10.6.0.61', port: 26379},
      {host: '10.6.0.62', port: 26379},
      {host: '10.6.0.63', port: 26379},
    ]
    
    # Set the network addresses that the exporters used for monitoring will listen on
    node_exporter['listen_address'] = '0.0.0.0:9100'
    gitlab_workhorse['prometheus_listen_addr'] = '0.0.0.0:9229'
    puma['listen'] = '0.0.0.0'
    
    # Add the monitoring node's IP address to the monitoring whitelist and allow it to
    # scrape the NGINX metrics
    gitlab_rails['monitoring_whitelist'] = ['10.6.0.151/32', '127.0.0.0/8']
    nginx['status']['options']['allow'] = ['10.6.0.151/32', '127.0.0.0/8']
    
    #############################
    ###     Object storage    ###
    #############################
    
    # This is an example for configuring Object Storage on GCP
    # Replace this config with your chosen Object Storage provider as desired
    gitlab_rails['object_store']['enabled'] = true
    gitlab_rails['object_store']['connection'] = {
      'provider' => 'Google',
      'google_project' => '<gcp-project-name>',
      'google_json_key_location' => '<path-to-gcp-service-account-key>'
    }
    gitlab_rails['object_store']['objects']['artifacts']['bucket'] = "<gcp-artifacts-bucket-name>"
    gitlab_rails['object_store']['objects']['external_diffs']['bucket'] = "<gcp-external-diffs-bucket-name>"
    gitlab_rails['object_store']['objects']['lfs']['bucket'] = "<gcp-lfs-bucket-name>"
    gitlab_rails['object_store']['objects']['uploads']['bucket'] = "<gcp-uploads-bucket-name>"
    gitlab_rails['object_store']['objects']['packages']['bucket'] = "<gcp-packages-bucket-name>"
    gitlab_rails['object_store']['objects']['dependency_proxy']['bucket'] = "<gcp-dependency-proxy-bucket-name>"
    gitlab_rails['object_store']['objects']['terraform_state']['bucket'] = "<gcp-terraform-state-bucket-name>"
    
    gitlab_rails['backup_upload_connection'] = {
      'provider' => 'Google',
      'google_project' => '<gcp-project-name>',
      'google_json_key_location' => '<path-to-gcp-service-account-key>'
    }
    gitlab_rails['backup_upload_remote_directory'] = "<gcp-backups-state-bucket-name>"
    
  3. If you're using Gitaly with TLS support, make sure the git_data_dirs entry is configured with tls instead of tcp:

    git_data_dirs({
      "default" => {
        "gitaly_address" => "tls://10.6.0.40:2305", # internal load balancer IP
        "gitaly_token" => '<praefect_external_token>'
      }
    })
    
    1. Copy the cert into /etc/gitlab/trusted-certs:

      sudo cp cert.pem /etc/gitlab/trusted-certs/
      
  4. Copy the /etc/gitlab/gitlab-secrets.json file from the first Omnibus node you configured and add or replace the file of the same name on this server. If this is the first Omnibus node you are configuring then you can skip this step.

  5. To ensure database migrations are only run during reconfigure and not automatically on upgrade, run:

    sudo touch /etc/gitlab/skip-auto-reconfigure
    

    Only a single designated node should handle migrations as detailed in the GitLab Rails post-configuration section.

  6. Reconfigure GitLab for the changes to take effect.

  7. If you're using NFS:

    1. If necessary, install the NFS client utility packages using the following commands:

      # Ubuntu/Debian
      apt-get install nfs-common
      
      # CentOS/Red Hat
      yum install nfs-utils nfs-utils-lib
      
    2. Specify the necessary NFS mounts in /etc/fstab. The exact contents of /etc/fstab will depend on how you chose to configure your NFS server. See the NFS documentation for examples and the various options.

    3. Create the shared directories. These may be different depending on your NFS mount locations.

      mkdir -p /var/opt/gitlab/.ssh /var/opt/gitlab/gitlab-rails/uploads /var/opt/gitlab/gitlab-rails/shared /var/opt/gitlab/gitlab-ci/builds /var/opt/gitlab/git-data
      
    4. Edit /etc/gitlab/gitlab.rb and use the following configuration:

      ## Prevent GitLab from starting if NFS data mounts are not available
      high_availability['mountpoint'] = '/var/opt/gitlab/git-data'
      
      ## Ensure UIDs and GIDs match between servers for permissions via NFS
      user['uid'] = 9000
      user['gid'] = 9000
      web_server['uid'] = 9001
      web_server['gid'] = 9001
      registry['uid'] = 9002
      registry['gid'] = 9002
      
    5. Save the file and reconfigure GitLab.

  8. Confirm the node can connect to Gitaly:

    sudo gitlab-rake gitlab:gitaly:check
    

    Then, tail the logs to see the requests:

    sudo gitlab-ctl tail gitaly
    
  9. Optionally, from the Gitaly servers, confirm that Gitaly can perform callbacks to the internal API:

    sudo /opt/gitlab/embedded/bin/gitaly-hooks check /var/opt/gitlab/gitaly/config.toml
    

When you specify https in the external_url, as in the previous example, GitLab expects that the SSL certificates are in /etc/gitlab/ssl/. If the certificates aren't present, NGINX will fail to start. For more information, see the NGINX documentation.

GitLab Rails post-configuration

  1. Designate one application node for running database migrations during installation and updates. Initialize the GitLab database and ensure all migrations ran:

    sudo gitlab-rake gitlab:db:configure
    

    If you encounter a rake aborted! error message stating that PgBouncer is failing to connect to PostgreSQL, it may be that your PgBouncer node's IP address is missing from PostgreSQL's trust_auth_cidr_addresses in gitlab.rb on your database nodes. Before proceeding, see PgBouncer error ERROR: pgbouncer cannot connect to server.

  2. Configure fast lookup of authorized SSH keys in the database.

Configure Prometheus

The Omnibus GitLab package can be used to configure a standalone Monitoring node running Prometheus and Grafana.

The following IP will be used as an example:

  • 10.6.0.151: Prometheus

To configure the Monitoring node:

  1. SSH in to the Monitoring node.

  2. Download and install the Omnibus GitLab package of your choice. Be sure to follow only installation steps 1 and 2 on the page.

  3. Edit /etc/gitlab/gitlab.rb and add the contents:

    roles(['monitoring_role', 'consul_role'])
    
    external_url 'http://gitlab.example.com'
    
    # Prometheus
    prometheus['listen_address'] = '0.0.0.0:9090'
    prometheus['monitor_kubernetes'] = false
    
    # Grafana
    grafana['admin_password'] = '<grafana_password>'
    grafana['disable_login_form'] = false
    
    # Enable service discovery for Prometheus
    consul['monitoring_service_discovery'] =  true
    consul['configuration'] = {
       retry_join: %w(10.6.0.11 10.6.0.12 10.6.0.13)
    }
    
    # Configure Prometheus to scrape services not covered by discovery
    prometheus['scrape_configs'] = [
       {
          'job_name': 'pgbouncer',
          'static_configs' => [
             'targets' => [
             "10.6.0.31:9188",
             "10.6.0.32:9188",
             "10.6.0.33:9188",
             ],
          ],
       },
       {
          'job_name': 'praefect',
          'static_configs' => [
             'targets' => [
             "10.6.0.131:9652",
             "10.6.0.132:9652",
             "10.6.0.133:9652",
             ],
          ],
       },
    ]
    
    # Nginx - For Grafana access
    nginx['enable'] = true
    
  4. Reconfigure GitLab for the changes to take effect.

  5. In the GitLab UI, set admin/application_settings/metrics_and_profiling > Metrics - Grafana to /-/grafana to http[s]://<MONITOR NODE>/-/grafana

Configure the object storage

GitLab supports using an object storage service for holding numerous types of data. It's recommended over NFS and in general it's better in larger setups as object storage is typically much more performant, reliable, and scalable.

GitLab has been tested on a number of object storage providers:

There are two ways of specifying object storage configuration in GitLab:

Starting with GitLab 13.2, consolidated object storage configuration is available. It simplifies your GitLab configuration since the connection details are shared across object types. Refer to Consolidated object storage configuration guide for instructions on how to set it up.

For configuring object storage in GitLab 13.1 and earlier, or for storage types not supported by consolidated configuration form, refer to the following guides based on what features you intend to use:

Object storage type Supported by consolidated configuration?
Backups No
Job artifacts including archived job logs Yes
LFS objects Yes
Uploads Yes
Container Registry (optional feature) No
Merge request diffs Yes
Mattermost No
Packages (optional feature) Yes
Dependency Proxy (optional feature) Yes
Autoscale runner caching (optional for improved performance) No
Terraform state files Yes

Using separate buckets for each data type is the recommended approach for GitLab. This ensures there are no collisions across the various types of data GitLab stores. There are plans to enable the use of a single bucket in the future.

Enable incremental logging

GitLab Runner returns job logs in chunks which Omnibus GitLab caches temporarily on disk in /var/opt/gitlab/gitlab-ci/builds by default, even when using consolidated object storage. With default configuration, this directory needs to be shared through NFS on any GitLab Rails and Sidekiq nodes.

While sharing the job logs through NFS is supported, it's recommended to avoid the need to use NFS by enabling incremental logging (required when no NFS node has been deployed). Incremental logging uses Redis instead of disk space for temporary caching of job logs.

You can leverage Elasticsearch and enable Advanced Search for faster, more advanced code search across your entire GitLab instance.

Elasticsearch cluster design and requirements are dependent on your specific data. For recommended best practices about how to set up your Elasticsearch cluster alongside your instance, read how to choose the optimal cluster configuration.

Configure NFS

Object storage, along with Gitaly are recommended over NFS wherever possible for improved performance.

See how to configure NFS.

WARNING: Engineering support for NFS for Git repositories is deprecated. Technical support is planned to be unavailable from GitLab 15.0. No further enhancements are planned for this feature.

Read:

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. 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.

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) or AWS Elastic Kubernetes Service (EKS) 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 Configuration GCP AWS Min Allocatable CPUs and Memory
Webservice 4 32 vCPU, 28.8 GB memory n1-highcpu-32 c5.9xlarge 127.5 vCPU, 118 GB memory
Sidekiq 4 4 vCPU, 15 GB memory n1-standard-4 m5.xlarge 15.5 vCPU, 50 GB memory
Supporting services such as NGINX, Prometheus 2 4 vCPU, 15 GB memory n1-standard-4 m5.xlarge 7.75 vCPU, 25 GB memory
  • For this setup, we recommend and regularly test Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (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):

Service Nodes Configuration GCP AWS
Consul1 3 2 vCPU, 1.8 GB memory n1-highcpu-2 c5.large
PostgreSQL1 3 8 vCPU, 30 GB memory n1-standard-8 m5.2xlarge
PgBouncer1 3 2 vCPU, 1.8 GB memory n1-highcpu-2 c5.large
Internal load balancing node3 1 2 vCPU, 1.8 GB memory n1-highcpu-2 c5.large
Redis/Sentinel - Cache2 3 4 vCPU, 15 GB memory n1-standard-4 m5.xlarge
Redis/Sentinel - Persistent2 3 4 vCPU, 15 GB memory n1-standard-4 m5.xlarge
Gitaly5 3 16 vCPU, 60 GB memory n1-standard-16 m5.4xlarge
Praefect5 3 2 vCPU, 1.8 GB memory n1-highcpu-2 c5.large
Praefect PostgreSQL1 1+ 2 vCPU, 1.8 GB memory n1-highcpu-2 c5.large
Object storage4 Not applicable Not applicable Not applicable Not applicable
  1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. Google Cloud SQL and Amazon RDS are known to work. However, Amazon Aurora is incompatible with load balancing enabled by default in 14.4.0, and Azure Database for PostgreSQL is not recommended due to performance issues. Consul is primarily used for PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul 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.
  5. Gitaly Cluster provides the benefits of fault tolerance, but comes with additional complexity of setup and management. Review the existing technical limitations and considerations before deploying Gitaly Cluster. If you want sharded Gitaly, use the same specs listed above for Gitaly.

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.

@startuml 10k
skinparam linetype ortho

card "Kubernetes via Helm Charts" as kubernetes {
  card "**External Load Balancer**" as elb #6a9be7

  together {
    collections "**Webservice** x4" as gitlab #32CD32
    collections "**Sidekiq** x4" as sidekiq #ff8dd1
  }

  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

  redis_cache -[hidden]-> redis_persistent
}

cloud "**Object Storage**" as object_storage #white

elb -[#6a9be7]-> gitlab
elb -[hidden]-> sidekiq
elb -[hidden]-> support

gitlab -[#32CD32]--> ilb
gitlab -[#32CD32]r--> object_storage
gitlab -[#32CD32,norank]----> redis
gitlab -[#32CD32]----> database

sidekiq -[#ff8dd1]--> ilb
sidekiq -[#ff8dd1]r--> object_storage
sidekiq -[#ff8dd1,norank]----> redis
sidekiq .[#ff8dd1]----> database

ilb -[#9370DB]--> gitaly_cluster
ilb -[#9370DB]--> database
ilb -[hidden,norank]--> redis

consul .[#e76a9b]--> database
consul .[#e76a9b,norank]--> gitaly_cluster
consul .[#e76a9b]--> redis

@enduml

Resource usage settings

The following formulas help when calculating how many pods may be deployed within resource constraints. The 10k reference architecture example values file 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 4 vCPUs and 5 GB of memory using the recommended topology because four worker processes are created by default and each pod has other small processes running.

For 10,000 users we recommend a total Puma worker count of around 80. With the provided recommendations this allows the deployment of up to 20 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.

Sidekiq

Sidekiq pods should generally have 1 vCPU and 2 GB of memory.

The provided starting point 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.