Detailed explanation of gitlab's distributed deployment solution

In the modern software development process, version control is an essential technology. Git is one of the most popular version control systems currently, and Gitlab is a Git-based web application. Compared with other version control platforms, Gitlab provides more complete functions, including code management, CI/CD, process management, etc., and is widely used in enterprises.

However, there are some difficulties in using Gitlab in large-scale organizations. For example, during times of high load, the performance of the GitLab server may become insufficient to support the entire team, resulting in an unresponsive user experience. One way to solve this problem is to use Gitlab distributed deployment.

Gitlab distributed deployment provides a scalable solution that can fine-tune resources across multiple nodes to improve performance. A distributed GitLab deployment can be deployed across multiple servers or containers, consisting of multiple GitLab instances with resources and load shared between them.

Below, I will introduce a Gitlab distributed deployment solution based on Docker Swarm.

Preparation work

Before starting the deployment, you need to prepare the following hardware and software resources:

• The current Gitlab server
• is used to deploy new Gitlab container server (node)
• Node with Docker and Docker Swarm installed

Step 1: Initialize Swarm

To use Docker Swarm to manage Gitlab containers, Swarm must be initialized first. Initialization can be completed using the following command:

$ docker swarm init

This command will generate the Token of the Swarm Manager, which will be used later to join the Swarm on other nodes.

Step 2: Set up persistent storage

In order to ensure data security, Gitlab data needs to be persistently stored on disk. This can be achieved using Docker's "volume" command. Here is an example command to create a Docker volume named "gitlab_config" on the local disk:

$ docker volume create --name gitlab_config

Similarly, new Docker volumes can be created for Gitlab's log and data directories. Use the following commands to create these two volumes respectively:

$ docker volume create --name gitlab_logs
$ docker volume create --name gitlab_data

Step 3: Deploy Gitlab container

Now you can deploy the new Gitlab container. Here is an example docker service command to start a Gitlab container with custom options and connection to a persistent volume:

$ docker service create \
    --name gitlab \
    --mount source=gitlab_config,target=/etc/gitlab \
    --mount source=gitlab_logs,target=/var/log/gitlab \
    --mount source=gitlab_data,target=/var/opt/gitlab \
    --publish published=80,target=80 \
    --publish published=22,target=22 \
    gitlab/gitlab-ce:latest

Step Four: Join the Node

Now Additional nodes can be added to the Swarm using the Swarm Manager Token. First use the following command to obtain the Token:

$ docker swarm join-token manager

This command will output the following content:

To add a manager to this swarm, run the following command:

    docker swarm join --token SWMTKN-...... xxx.xxx.xxx.xxx:2377

To add a worker to this swarm, run the following command:

    docker swarm join --token SWMTKN-...... xxx.xxx.xxx.xxx:2377

Copy this command and execute it on other servers to add it to Swarm.

Step 5: Deploy more containers

To expand Gitlab capacity, you can deploy additional Gitlab containers on other nodes. You can use the following docker service command similar to the third step to start a new container on other nodes:

$ docker service create \
    --name gitlab \
    --mount source=gitlab_config,target=/etc/gitlab \
    --mount source=gitlab_logs,target=/var/log/gitlab \
    --mount source=gitlab_data,target=/var/opt/gitlab \
    --publish published=80,target=80 \
    --publish published=22,target=22 \
    gitlab/gitlab-ce:latest

Note that the --name option must be set to "gitlab ” so that all containers recognize each other.

Conclusion

Using Docker Swarm to deploy Gitlab containers on multiple nodes is a way to expand Gitlab capacity and improve performance. GitLab distributed deployment can be deployed across multiple servers to fine-tune resources by sharing resources and loads. This enables the team to better manage and maintain the Gitlab platform and improve product development efficiency.

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