In certain scenarios (i.e. offline environments), you may want to bring your own images rather than pulling them down from the Internet. This requires specifying your own Docker image registry/repository for each of the charts that make up the GitLab release.
Default image format
Our default format for the image in most cases includes the full path to the image, excluding the tag:
The end result will be repo.example.com/image:custom-tag.
Example values file
There is an example values file that demonstrates how to configure a custom Docker registry/repository and tag. You can copy relevant sections of this file for your own releases.
Some of the charts (especially third party charts) sometimes have slightly different conventions for specifying the image registry/repository and tag. You can find documentation for third party charts on the Artifact Hub.
We’ll make use of the Omnibus GitLab package for Ubuntu. This package provides versions of the services that are guaranteed to be compatible with the charts’ services.
Create VM with Omnibus GitLab
Create a VM on your provider of choice, or locally. This was tested with VirtualBox, KVM, and Bhyve. Ensure that the instance is reachable from the cluster.
Install Ubuntu Server onto the VM that you have created. Ensure that openssh-server is installed, and that all packages are up to date. Configure networking and a hostname. Make note of the hostname/IP, and ensure it is both resolvable and reachable from your Kubernetes cluster. Be sure firewall policies are in place to allow traffic.
Follow the installation instructions for Omnibus GitLab. When you perform the package installation, do not provide the EXTERNAL_URL= value. We do not want automatic configuration to occur, as we’ll provide a very specific configuration in the next step.
Configure Omnibus GitLab
Create a minimal gitlab.rb file to be placed at /etc/gitlab/gitlab.rb. Be very explicit about what is enabled on this node, use the contents below.
DB_ENCODED_PASSWORD encoded value of DB_PASSWORD. Can be generated by replacing DB_USERNAME and DB_PASSWORD with real values in: echo -n 'DB_PASSSWORDDB_USERNAME' | md5sum - | cut -d' ' -f1
AUTH_CIDR_ADDRESS configure the CIDRs for MD5 authentication, should be the smallest possible subnets of your cluster or it’s gateway. For minikube, this value is 192.168.100.0/12
# Change the address below if you do not want PG to listen on all available addresses postgresql['listen_address']='0.0.0.0' # Set to approximately 1/4 of available RAM. postgresql['shared_buffers']="512MB" # This password is: `echo -n '${password}${username}' | md5sum - | cut -d' ' -f1` # The default username is `gitlab` postgresql['sql_user_password']="DB_ENCODED_PASSWORD" # Configure the CIDRs for MD5 authentication postgresql['md5_auth_cidr_addresses']=['AUTH_CIDR_ADDRESSES'] # Configure the CIDRs for trusted authentication (passwordless) postgresql['trust_auth_cidr_addresses']=['127.0.0.1/24']
After creating gitlab.rb, we’ll reconfigure the package with gitlab-ctl reconfigure. Once the task has completed, check the running processes with gitlab-ctl status. The output should appear as such:
The pg_trgm and btree_gist extensions. If you don’t provide an account with the Superuser flag to GitLab, ensure these extensions are loaded prior to proceeding with the database installation.
Networking prerequisites:
Ensure that the database is reachable from the cluster. Be sure that your firewall policies allow traffic.
If you plan to use PostgreSQL as a load balancing cluster and Kubernetes DNS for service discovery, when you install the bitnami/postgresql chart, use --set slave.service.clusterIP=None. This setting configures the PostgreSQL secondary service as a headless service to allow DNS A records to be created for each secondary instance.
The instructions here make use of the Omnibus GitLab package for Ubuntu. This package provides versions of the services that are guaranteed to be compatible with the charts’ services.
Create VM with Omnibus GitLab
Create a VM on your provider of choice, or locally. This was tested with VirtualBox, KVM, and Bhyve. Ensure that the instance is reachable from the cluster.
Install Ubuntu Server onto the VM that you have created. Ensure that openssh-server is installed, and that all packages are up to date. Configure networking and a hostname. Make note of the hostname/IP, and ensure it is both resolvable and reachable from your Kubernetes cluster. Be sure firewall policies are in place to allow traffic.
Follow the installation instructions for Omnibus GitLab. When you perform the package installation, do not provide the EXTERNAL_URL= value. We do not want automatic configuration to occur, as we’ll provide a very specific configuration in the next step.
Configure Omnibus GitLab
Create a minimal gitlab.rb file to be placed at /etc/gitlab/gitlab.rb. Be very explicit about what’s enabled on this node, using the following contents based on the documentation for running Gitaly on its own server.
# 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 grafana['enable']=false gitlab_exporter['enable']=false gitlab_kas['enable']=false
# If you run a seperate monitoring node you can disable these services prometheus['enable']=false alertmanager['enable']=false
# If you don't run a seperate monitoring node you can # Enable Prometheus access & disable these extra services # This makes Prometheus listen on all interfaces. You must use firewalls to restrict access to this address/port. # prometheus['listen_address'] = '0.0.0.0:9090' # prometheus['monitor_kubernetes'] = false
# If you don't want to run monitoring services uncomment the following (not recommended) # node_exporter['enable'] = false
# Prevent database connections during 'gitlab-ctl reconfigure' 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']='GITLAB_URL' gitlab_shell['secret_token']='SHELL_TOKEN'
# 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"
# Authentication token to ensure only authorized servers can communicate with # Gitaly server gitaly['auth_token']='AUTH_TOKEN'
# To use TLS for Gitaly you need to add gitaly['tls_listen_addr']="0.0.0.0:8076" gitaly['certificate_path']="path/to/cert.pem" gitaly['key_path']="path/to/key.pem"
After creating gitlab.rb, reconfigure the package with gitlab-ctl reconfigure. Once the task has completed, check the running processes with gitlab-ctl status. The output should appear as such:
global.gitaly.authToken.key: The key within the secret, which contains the token content.
The external Gitaly services will make use of their own instances of GitLab Shell. Depending your implementation, you can configure those with the secrets from this chart, or you can configure this chart’s secrets with the content from a predefined source.
If your implementation uses multiple Gitaly nodes external to these charts, you can define multiple hosts as well. The syntax is slightly different, as to allow the complexity required.
An example values file is provided, which shows the appropriate set of configuration. The content of this values file is not interpreted correctly via --set arguments, so should be passed to Helm with the -f / --values flag.
Connecting to external Gitaly over TLS
If your external Gitaly server listens over TLS port, you can make your GitLab instance communicate with it over TLS. To do this, you have to
Create a Kubernetes secret containing the certificate of the Gitaly server
kubectl create secret generic gitlab-gitaly-tls-certificate --from-file=gitaly-tls.crt=<path to certificate>
Add the certificate of external Gitaly server to the list of custom Certificate Authorities In the values file, specify the following
You can choose any valid secret name and key for this, but make sure the key is unique across all the secrets specified in customCAs to avoid collision since all keys within the secrets will be mounted. You do not need to provide the key for the certificate, as this is the client side.
Configure the GitLab chart with external GitLab Pages
This document intends to provide documentation on how to configure this Helm chart with a GitLab Pages instance, configured outside of the cluster, using an Omnibus GitLab package.
Edit /etc/gitlab/gitlab.rb file and replace its contents with the following snippet. Update the values below to match your configuration:
roles['pages_role']
# Root domain where Pages will be served. pages_external_url'<Pages root domain>'# Example: 'http://pages.example.io'
# Information regarding GitLab instance gitlab_pages['gitlab_server']='<GitLab URL>'# Example: 'https://gitlab.example.com' gitlab_pages['api_secret_key']='<Base64 encoded form of API secret key>'
Apply the changes by running sudo gitlab-ctl reconfigure.
Configure the chart
Create a bucket named gitlab-pages in the object storage for storing Pages deployments.
Create a secret gitlab-pages-api-key with the Base64 encoded form of API secret key as value.
Refer the following configuration snippet and add necessary entries to your values file.
global: pages: path:'/srv/gitlab/shared/pages' host:<Pages root domain> port:'80'# Set to 443 if Pages is served over HTTPS https:false# Set to true if Pages is served over HTTPS artifactsServer:true objectStore: enabled:true bucket:'gitlab-pages' apiSecret: secret:gitlab-pages-api-key key:shared_secret extraEnv: PAGES_UPDATE_LEGACY_STORAGE:true# Bypass automatic disabling of disk storage
By setting PAGES_UPDATE_LEGACY_STORAGE environment variable to true, the feature flag pages_update_legacy_storage is enabled which deploys Pages to local disk. When you migrate to object storage, do remember to remove this variable.
Configure the GitLab chart with Mattermost Team Edition
This document describes how to install Mattermost Team Edition Helm chart in proximity with an existing GitLab Helm chart deployment.
As the Mattermost Helm chart is installed in a separate namespace, it is recommended that cert-manager and nginx-ingress be configured to manage cluster-wide Ingress and certificate resources. For additional configuration information, refer to the Mattermost Helm configuration guide.
<your-domain>: your desired domain, such as gitlab.example.com.
<external-ip>: the external IP pointing to your Kubernetes cluster.
<email>: email to register in Let’s Encrypt to retrieve TLS certificates.
Once you’ve deployed the GitLab instance, follow the instructions for the initial login.
Create an OAuth application with GitLab
The next part of the process is setting up the GitLab SSO integration. To do so, you need to create the OAuth application to allow Mattermost to use GitLab as the authentication provider.
Only the default GitLab SSO is officially supported. “Double SSO”, where GitLab SSO is chained to other SSO solutions, is not supported. It may be possible to connect GitLab SSO with AD, LDAP, SAML, or MFA add-ons in some cases, but because of the special logic required they’re not officially supported and are known not to work on some experiences.
Troubleshooting
If you are following a process other than the one provided and experience authentication and/or deployment issues, let us know in the Mattermost troubleshooting forum.
Configure the GitLab chart with an external NGINX Ingress Controller
This chart configures Ingress resources for use with the official NGINX Ingress implementation. The NGINX Ingress Controller is deployed as a part of this chart. If you want to reuse an existing NGINX Ingress Controller already available in your cluster, this guide will help.
TCP services in the external Ingress Controller
The GitLab Shell component requires TCP traffic to pass through on port 22 (by default; this can be changed). Ingress does not directly support TCP services, so some additional configuration is necessary. Your NGINX Ingress Controller may have been deployed directly (i.e. with a Kubernetes spec file) or through the official Helm chart. The configuration of the TCP pass through will differ depending on the deployment approach.
Direct deployment
In a direct deployment, the NGINX Ingress Controller handles configuring TCP services with a ConfigMap (see docs here). Assuming your GitLab chart is deployed to the namespace gitlab and your Helm release is named mygitlab, your ConfigMap should be something like this:
Finally make sure that the Service for your NGINX Ingress Controller is exposing port 22 in addition to 80 and 443.
Helm deployment
If you have installed or will install the NGINX Ingress Controller via it’s Helm chart, then you will need to add a value to the chart via the command line:
--set tcp.22="gitlab/mygitlab-gitlab-shell:22"
or a values.yaml file:
tcp: 22:"gitlab/mygitlab-gitlab-shell:22"
The format for the value is the same as describe above in the “Direct Deployment” section.
Customize the GitLab Ingress options
The NGINX Ingress Controller uses an annotation to mark which Ingress Controller will service a particular Ingress (see docs). You can configure the Ingress class to use with this chart using the global.ingress.class setting. Make sure to set this in your Helm options.
--set global.ingress.class=myingressclass
While not necessarily required, if you’re using an external Ingress Controller, you will likely want to disable the Ingress Controller that is deployed by default with this chart:
--set nginx-ingress.enabled=false
Custom certificate management
The full scope of your TLS options are documented elsewhere.
If you are using an external Ingress Controller, you may also be using an external cert-manager instance or managing your certificates in some other custom manner. The full documentation around your TLS options is here, however for the purposes of this discussion, here are the two values that would need to be set to disable the cert-manager chart and tell the GitLab component charts to NOT look for the built in certificate resources:
The default configuration for external object storage in the charts uses access and secret keys. It is also possible to use IAM roles in combination with kube2iam, kiam, or IRSA.
IAM role
The IAM role will need read, write and list permissions on the S3 buckets. You can choose to have a role per bucket or combine them.
Chart configuration
IAM roles can be specified by adding annotations and changing the secrets, as specified below:
Registry
An IAM role can be specified via the annotations key:
For the object-storage.yaml secret, omit the access and secret key. Because the GitLab Rails codebase uses Fog for S3 storage, the use_iam_profile key should be added for Fog to use the role:
The s3cmd.config secret is to be created without the access and secret keys:
[default] bucket_location=us-east-1
Using IAM roles for service accounts
If GitLab is running in an AWS EKS cluster (version 1.14 or greater), you can use an AWS IAM role to authenticate to the S3 object storage without the need of generating or storing access tokens. More information regarding using IAM roles in an EKS cluster can be found in the Introducing fine-grained IAM roles for service accounts documentation from AWS.
Appropriate IRSA annotations for roles can be applied to ServiceAccounts throughout this Helm chart in one of two ways:
ServiceAccounts that have been pre-created as described in the above AWS documentation. This ensures the proper annotations on the ServiceAccount and the linked OIDC provider.
Chart-generated ServiceAccounts with annotations defined. We allow for the configuration of annotations on ServiceAccounts both globally and on a per-chart basis.
To use IAM roles for ServiceAccounts in EKS clusters, the specific annotation must be eks.amazonaws.com/role-arn: arn:aws:iam::<ACCOUNT_ID>:role/<IAM_ROLE_NAME>.
To enable IAM roles for ServiceAccounts for GitLab running in an AWS EKS cluster, follow the instructions on IAM roles for service accounts.
Using the backup-utility as specified in the backup documentation does not properly copy the backup file to the S3 bucket. The backup-utility uses the s3cmd to perform the copy of the backup file and it has a known issue of not supporting OIDC authentication. This has been resolved in their 2.2.0 release, which has been merged into GitLab 14.4.
Workaround to perform backups before GitLab 14.4
If you are on a version earlier than 14.4, run the following command in your task-runner pod to sideload the latest version of s3cmd. You can then run backup-utility as per usual.
pip install--upgrade s3cmd &&export PATH="$(python3 -m site --user-base)/bin:${PATH}"
Using pre-created service accounts
Set the following options when the GitLab chart is deployed. It is important to note that the ServiceAccount is enabled but not created.
The eks.amazonaws.com/role-arn annotation can be applied to all ServiceAccounts created by GitLab owned charts by configuring global.serviceAccount.annotations.
Annotations can also be added on a per ServiceAccount basis, but adding the matching definition for each chart. These can be the same role, or individual roles.
You can test if the IAM role is correctly set up and that GitLab is accessing S3 using the IAM role by logging into the toolbox pod and using awscli (replace <namespace> with the namespace where GitLab is installed):
kubectl exec-ti$(kubectl get pod -n <namespace> -lapp=toolbox -ojsonpath='{.items[0].metadata.name}')-n <namespace> -- bash
With the awscli package installed, verify that you are able to communicate with the AWS API:
aws sts get-caller-identity
A normal response showing the temporary user ID, account number and IAM ARN (this will not be the IAM ARN for the role used to access S3) will be returned if connection to the AWS API was successful. An unsuccessful connection will require more troubleshooting to determine why the toolbox pod is not able to communicate with the AWS APIs.
If connecting to the AWS APIs is successful, then the following command will assume the IAM role that was created and verify that a STS token can be retrieved for accessing S3. The AWS_ROLE_ARN and AWS_WEB_IDENTITY_TOKEN_FILE variables are defined in the environment when IAM role annotation has been added to the pod and do not require that they be defined:
If the IAM role could not be assumed then an error message similar to the following will be displayed:
An error occurred (AccessDenied) when calling the AssumeRoleWithWebIdentity operation: Not authorized to perform sts:AssumeRoleWithWebIdentity
Otherwise, the STS credentials and IAM role information will be displayed.
WebIdentityErr: failed to retrieve credentials
If you see this error in the logs, this suggests that endpoint has been configured in your object-storage.yaml secret. Remove this setting and restart the webservice and sidekiq pods.