- Software delivery
- Components
-
Adapting existing and introducing new components
- Simplified component overview
- Component diagram
- Component legend
- Component list
-
Component details
- Alertmanager
- Certificate management
- Consul
- Database migrations
- Elasticsearch
- Gitaly
- Praefect
- GitLab Geo
- GitLab Exporter
- GitLab Kubernetes Agent
- GitLab Pages
- GitLab Runner
- GitLab Shell
- GitLab Workhorse
- Grafana
- Jaeger
- Logrotate
- Mattermost
- MinIO
- NGINX
- Node Exporter
- Patroni
- PgBouncer
- PgBouncer Exporter
- PostgreSQL
- PostgreSQL Exporter
- Prometheus
- Redis
- Redis Exporter
- Registry
- Sentry
- Sidekiq
- Puma
- LDAP Authentication
- Outbound Email
- Inbound Email
- GitLab by request type
- System layout
- Troubleshooting
- GitLab.com
GitLab architecture overview
Software delivery
There are two software distributions of GitLab:
- The open source Community Edition (CE).
- The open core Enterprise Edition (EE).
GitLab is available under different subscriptions.
New versions of GitLab are released from stable branches, and the main
branch is used for
bleeding-edge development.
For more information, visit the GitLab Release Process.
Both distributions require additional components. These components are described in the
Component details section, and all have their own repositories.
New versions of each dependent component are usually tags, but staying on the main
branch of the
GitLab codebase gives you the latest stable version of those components. New versions are
generally released around the same time as GitLab releases, with the exception of informal security
updates deemed critical.
Components
A typical install of GitLab is on GNU/Linux, but growing number of deployments also use the Kubernetes platform. The largest known GitLab instance is on GitLab.com, which is deployed using our official GitLab Helm chart and the official Linux package.
A typical installation uses NGINX or Apache as a web server to proxy through GitLab Workhorse and into the Puma application server. GitLab serves web pages and the GitLab API using the Puma application server. It uses Sidekiq as a job queue which, in turn, uses Redis as a non-persistent database backend for job information, metadata, and incoming jobs.
By default, communication between Puma and Workhorse is via a Unix domain socket, but forwarding
requests via TCP is also supported. Workhorse accesses the gitlab/public
directory, bypassing the
Puma application server to serve static pages, uploads (for example, avatar images or attachments),
and pre-compiled assets.
The GitLab application uses PostgreSQL for persistent database information (for example, users,
permissions, issues, or other metadata). GitLab stores the bare Git repositories in the location
defined in the configuration file, repositories:
section.
It also keeps default branch and hook information with the bare repository.
When serving repositories over HTTP/HTTPS GitLab uses the GitLab API to resolve authorization and access and to serve Git objects.
The add-on component GitLab Shell serves repositories over SSH. It manages the SSH keys within the
location defined in the configuration file, GitLab Shell
section.
The file in that location should never be manually edited. GitLab Shell accesses the bare
repositories through Gitaly to serve Git objects, and communicates with Redis to submit jobs to
Sidekiq for GitLab to process. GitLab Shell queries the GitLab API to determine authorization and access.
Gitaly executes Git operations from GitLab Shell and the GitLab web app, and provides an API to the GitLab web app to get attributes from Git (for example, title, branches, tags, or other metadata), and to get blobs (for example, diffs, commits, or files).
You may also be interested in the production architecture of GitLab.com.
Adapting existing and introducing new components
There are fundamental differences in how the application behaves when it is installed on a traditional Linux machine compared to a containerized platform, such as Kubernetes.
Compared to our official installation methods, some of the notable differences are:
- Official Linux packages can access files on the same file system with different services. Shared files are not an option for the application running on the Kubernetes platform.
- Official Linux packages by default have services that have access to the shared configuration and network. This is not the case for services running in Kubernetes, where services might be running in complete isolation, or only accessible through specific ports.
In other words, the shared state between services needs to be carefully considered when architecting new features and adding new components. Services that need to have access to the same files, need to be able to exchange information through the appropriate APIs. Whenever possible, this should not be done with files.
Since components written with the API-first philosophy in mind are compatible with both methods, all new features and services must be written to consider Kubernetes compatibility first.
The simplest way to ensure this, is to add support for your feature or service to the official GitLab Helm chart or reach out to the Distribution team.
Refer to the process for adding new service components for more details.
Simplified component overview
This is a simplified architecture diagram that can be used to understand the GitLab architecture.
A complete architecture diagram is available in our component diagram below.
Component diagram
Component legend
- ✅ - Installed by default
- ⚙ - Requires additional configuration
- ⤓ - Manual installation required
- ❌ - Not supported or no instructions available
- N/A - Not applicable
Component statuses are linked to configuration documentation for each component.
Component list
Component | Description | Omnibus GitLab | GitLab Environment Toolkit (GET) | GitLab chart | Minikube Minimal | GitLab.com | Source | GDK | CE/EE |
---|---|---|---|---|---|---|---|---|---|
Certificate Management | TLS Settings, Let’s Encrypt | ✅ | ✅ | ✅ | ⚙ | ✅ | ⚙ | ⚙ | CE & EE |
Consul | Database node discovery, failover | ⚙ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | EE Only |
Database Migrations | Database migrations | ✅ | ✅ | ✅ | ✅ | ✅ | ⚙ | ✅ | CE & EE |
Elasticsearch | Improved search within GitLab | ⤓ | ⚙ | ⤓ | ⤓ | ✅ | ⤓ | ⤓ | EE Only |
Gitaly | Git RPC service for handling all Git calls made by GitLab | ✅ | ✅ | ✅ | ✅ | ✅ | ⚙ | ✅ | CE & EE |
GitLab Exporter | Generates a variety of GitLab metrics | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | CE & EE |
GitLab Geo Node | Geographically distributed GitLab nodes | ⚙ | ⚙ | ❌ | ❌ | ✅ | ❌ | ⚙ | EE Only |
GitLab Kubernetes Agent | Integrate Kubernetes clusters in a cloud-native way | ⚙ | ⚙ | ⚙ | ❌ | ❌ | ⤓ | ⚙ | EE Only |
GitLab Pages | Hosts static websites | ⚙ | ⚙ | ❌ | ❌ | ✅ | ⚙ | ⚙ | CE & EE |
GitLab Kubernetes Agent | Integrate Kubernetes clusters in a cloud-native way | ⚙ | ⚙ | ⚙ | ❌ | ❌ | ⤓ | ⚙ | EE Only |
GitLab self-monitoring: Alertmanager | Deduplicates, groups, and routes alerts from Prometheus | ⚙ | ⚙ | ✅ | ⚙ | ✅ | ❌ | ❌ | CE & EE |
GitLab self-monitoring: Grafana | Metrics dashboard | ✅ | ✅ | ⚙ | ⤓ | ✅ | ❌ | ❌ | CE & EE |
GitLab self-monitoring: Jaeger | View traces generated by the GitLab instance | ❌ | ⚙ | ⚙ | ❌ | ❌ | ⤓ | ⚙ | CE & EE |
GitLab self-monitoring: Prometheus | Time-series database, metrics collection, and query service | ✅ | ✅ | ✅ | ⚙ | ✅ | ❌ | ❌ | CE & EE |
GitLab self-monitoring: Sentry | Track errors generated by the GitLab instance | ⤓ | ⤓ | ⤓ | ❌ | ✅ | ⤓ | ⤓ | CE & EE |
GitLab Shell | Handles git over SSH sessions
| ✅ | ✅ | ✅ | ✅ | ✅ | ⚙ | ✅ | CE & EE |
GitLab Workhorse | Smart reverse proxy, handles large HTTP requests | ✅ | ✅ | ✅ | ✅ | ✅ | ⚙ | ✅ | CE & EE |
Inbound email (SMTP) | Receive messages to update issues | ⤓ | ⤓ | ⚙ | ⤓ | ✅ | ⤓ | ⤓ | CE & EE |
Jaeger integration | Distributed tracing for deployed apps | ⤓ | ⤓ | ⤓ | ⤓ | ⤓ | ⤓ | ⤓ | EE Only |
LDAP Authentication | Authenticate users against centralized LDAP directory | ⤓ | ⤓ | ⤓ | ⤓ | ❌ | ⤓ | ⤓ | CE & EE |
Mattermost | Open-source Slack alternative | ⚙ | ⚙ | ⤓ | ⤓ | ⤓ | ❌ | ❌ | CE & EE |
MinIO | Object storage service | ⤓ | ⤓ | ✅ | ✅ | ✅ | ❌ | ⚙ | CE & EE |
NGINX | Routes requests to appropriate components, terminates SSL | ✅ | ✅ | ✅ | ⚙ | ✅ | ⤓ | ❌ | CE & EE |
Node Exporter | Prometheus endpoint with system metrics | ✅ | ✅ | N/A | N/A | ✅ | ❌ | ❌ | CE & EE |
Outbound email (SMTP) | Send email messages to users | ⤓ | ⤓ | ⚙ | ⤓ | ✅ | ⤓ | ⤓ | CE & EE |
Patroni | Manage PostgreSQL HA cluster leader selection and replication | ⚙ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | EE Only |
PgBouncer Exporter | Prometheus endpoint with PgBouncer metrics | ⚙ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | CE & EE |
PgBouncer | Database connection pooling, failover | ⚙ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | EE Only |
PostgreSQL Exporter | Prometheus endpoint with PostgreSQL metrics | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | CE & EE |
PostgreSQL | Database | ✅ | ✅ | ✅ | ✅ | ✅ | ⤓ | ✅ | CE & EE |
Praefect | A transparent proxy between any Git client and Gitaly storage nodes. | ✅ | ✅ | ⚙ | ❌ | ✅ | ⚙ | ✅ | CE & EE |
Puma (GitLab Rails) | Handles requests for the web interface and API | ✅ | ✅ | ✅ | ✅ | ✅ | ⚙ | ✅ | CE & EE |
Redis Exporter | Prometheus endpoint with Redis metrics | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | CE & EE |
Redis | Caching service | ✅ | ✅ | ✅ | ✅ | ✅ | ⤓ | ✅ | CE & EE |
Registry | Container registry, allows pushing and pulling of images | ⚙ | ⚙ | ✅ | ✅ | ✅ | ⤓ | ⚙ | CE & EE |
Runner | Executes GitLab CI/CD jobs | ⤓ | ⤓ | ✅ | ⚙ | ✅ | ⚙ | ⚙ | CE & EE |
Sentry integration | Error tracking for deployed apps | ⤓ | ⤓ | ⤓ | ⤓ | ⤓ | ⤓ | ⤓ | CE & EE |
Sidekiq | Background jobs processor | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | CE & EE |
Component details
This document is designed to be consumed by systems administrators and GitLab Support Engineers who want to understand more about the internals of GitLab and how they work together.
When deployed, GitLab should be considered the amalgamation of the below processes. When troubleshooting or debugging, be as specific as possible as to which component you are referencing. That should increase clarity and reduce confusion.
Layers
GitLab can be considered to have two layers from a process perspective:
- Monitoring: Anything from this layer is not required to deliver GitLab the application, but allows administrators more insight into their infrastructure and what the service as a whole is doing.
-
Core: Any process that is vital for the delivery of GitLab as a platform. If any of these processes halt, a GitLab outage results. For the Core layer, you can further divide into:
- Processors: These processes are responsible for actually performing operations and presenting the service.
- Data: These services store/expose structured data for the GitLab service.
Alertmanager
- Project page
- Configuration:
- Layer: Monitoring
- Process:
alertmanager
- GitLab.com: Monitoring of GitLab.com
Alert manager is a tool provided by Prometheus that “handles alerts sent by client applications such as the Prometheus server. It takes care of deduplicating, grouping, and routing them to the correct receiver integration such as email, PagerDuty, or Opsgenie. It also takes care of silencing and inhibition of alerts.” You can read more in issue #45740 about what we alert on.
Certificate management
- Project page:
- Configuration:
- Layer: Core Service (Processor)
- GitLab.com: Secrets Management
Consul
- Project page
- Configuration:
- Layer: Core Service (Data)
- GitLab.com: Consul
Consul is a tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.
Database migrations
Elasticsearch
- Project page
- Configuration:
- Layer: Core Service (Data)
- GitLab.com: Get Advanced Search working on GitLab.com (Closed) epic.
Elasticsearch is a distributed RESTful search engine built for the cloud.
Gitaly
- Project page
- Configuration:
- Layer: Core Service (Data)
- Process:
gitaly
- GitLab.com: Service Architecture
Gitaly is a service designed by GitLab to remove our need for NFS for Git storage in distributed deployments of GitLab (think GitLab.com or High Availability Deployments). As of 11.3.0, this service handles all Git level access in GitLab. You can read more about the project in the project’s README.
Praefect
- Project page
- Configuration:
- Layer: Core Service (Data)
- Process:
praefect
- GitLab.com: Service Architecture
Praefect is a transparent proxy between each Git client and the Gitaly coordinating the replication of repository updates to secondary nodes.
GitLab Geo
Geo is a premium feature built to help speed up the development of distributed teams by providing one or more read-only mirrors of a primary GitLab instance. This mirror (a Geo secondary site) reduces the time to clone or fetch large repositories and projects, or can be part of a Disaster Recovery solution.
GitLab Exporter
- Project page
- Configuration:
- Layer: Monitoring
- Process:
gitlab-exporter
- GitLab.com: Monitoring of GitLab.com
GitLab Exporter is a process designed in house that allows us to export metrics about GitLab application internals to Prometheus. You can read more in the project’s README.
GitLab Kubernetes Agent
- Project page
- Configuration:
GitLab Kubernetes Agent is an active in-cluster component for solving GitLab and Kubernetes integration tasks in a secure and cloud-native way.
You can use it to sync deployments onto your Kubernetes cluster.
GitLab Pages
- Configuration:
- Layer: Core Service (Processor)
- GitLab.com: GitLab Pages
GitLab Pages is a feature that allows you to publish static websites directly from a repository in GitLab.
You can use it either for personal or business websites, such as portfolios, documentation, manifestos, and business presentations. You can also attribute any license to your content.
GitLab Runner
- Project page
- Configuration:
- Layer: Core Service (Processor)
- GitLab.com: Runner
GitLab Runner runs jobs and sends the results to GitLab.
GitLab CI/CD is the open-source continuous integration service included with GitLab that coordinates the testing. The old name of this project was GitLab CI Multi Runner
but please use GitLab Runner
(without CI) from now on.
GitLab Shell
- Project page
- Configuration:
- Layer: Core Service (Processor)
- GitLab.com: Service Architecture
GitLab Shell is a program designed at GitLab to handle SSH-based git
sessions, and modifies the list of authorized keys. GitLab Shell is not a Unix shell nor a replacement for Bash or Zsh.
GitLab Workhorse
- Project page
- Configuration:
- Layer: Core Service (Processor)
- Process:
gitlab-workhorse
- GitLab.com: Service Architecture
GitLab Workhorse is a program designed at GitLab to help alleviate pressure from Puma. You can read more about the historical reasons for developing. It’s designed to act as a smart reverse proxy to help speed up GitLab as a whole.
Grafana
- Project page
- Configuration:
- Layer: Monitoring
- GitLab.com: GitLab triage Grafana dashboard
Grafana is an open source, feature rich metrics dashboard and graph editor for Graphite, Elasticsearch, OpenTSDB, Prometheus, and InfluxDB.
Jaeger
- Project page
- Configuration:
- Layer: Monitoring
- GitLab.com: Configuration to enable Tracing for a GitLab instance issue.
Jaeger, inspired by Dapper and OpenZipkin, is a distributed tracing system. It can be used for monitoring microservices-based distributed systems.
For monitoring deployed apps, see Jaeger tracing documentation
Logrotate
- Project page
- Configuration:
- Layer: Core Service
- Process:
logrotate
GitLab is comprised of a large number of services that all log. We started bundling our own Logrotate as of GitLab 7.4 to make sure we were logging responsibly. This is just a packaged version of the common open source offering.
Mattermost
- Project page
- Configuration:
- Layer: Core Service (Processor)
- GitLab.com: Mattermost
Mattermost is an open source, private cloud, Slack-alternative from https://mattermost.com.
MinIO
- Project page
- Configuration:
- Layer: Core Service (Data)
- GitLab.com: Storage Architecture
MinIO is an object storage server released under Apache License v2.0. It is compatible with Amazon S3 cloud storage service. It is best suited for storing unstructured data such as photos, videos, log files, backups, and container / VM images. Size of an object can range from a few KBs to a maximum of 5TB.
NGINX
- Project page:
- Configuration:
- Layer: Core Service (Processor)
- Process:
nginx
- GitLab.com: Service Architecture
NGINX has an Ingress port for all HTTP requests and routes them to the appropriate sub-systems within GitLab. We are bundling an unmodified version of the popular open source webserver.
Node Exporter
- Project page
- Configuration:
- Layer: Monitoring
- Process:
node-exporter
- GitLab.com: Monitoring of GitLab.com
Node Exporter is a Prometheus tool that gives us metrics on the underlying machine (think CPU/Disk/Load). It’s just a packaged version of the common open source offering from the Prometheus project.
Patroni
- Project Page
- Configuration:
- Layer: Core Service (Data)
- Process:
patroni
- GitLab.com: Database Architecture
PgBouncer
- Project page
- Configuration:
- Layer: Core Service (Data)
- GitLab.com: Database Architecture
Lightweight connection pooler for PostgreSQL.
PgBouncer Exporter
- Project page
- Configuration:
- Layer: Monitoring
- GitLab.com: Monitoring of GitLab.com
Prometheus exporter for PgBouncer. Exports metrics at 9127/metrics.
PostgreSQL
- Project page
- Configuration:
- Layer: Core Service (Data)
- Process:
postgresql
- GitLab.com: PostgreSQL
GitLab packages the popular Database to provide storage for Application meta data and user information.
PostgreSQL Exporter
- Project page
- Configuration:
- Layer: Monitoring
- Process:
postgres-exporter
- GitLab.com: Monitoring of GitLab.com
postgres_exporter
is the community provided Prometheus exporter that delivers data about PostgreSQL to Prometheus for use in Grafana Dashboards.
Prometheus
- Project page
- Configuration:
- Layer: Monitoring
- Process:
prometheus
- GitLab.com: Prometheus
Prometheus is a time-series tool that helps GitLab administrators expose metrics about the individual processes used to provide GitLab the service.
Redis
- Project page
- Configuration:
- Layer: Core Service (Data)
- Process:
redis
- GitLab.com: Service Architecture
Redis is packaged to provide a place to store:
- session data
- temporary cache information
- background job queues
See our Redis guidelines for more information about how GitLab uses Redis.
Redis Exporter
- Project page
- Configuration:
- Layer: Monitoring
- Process:
redis-exporter
- GitLab.com: Monitoring of GitLab.com
Redis Exporter is designed to give specific metrics about the Redis process to Prometheus so that we can graph these metrics in Grafana.
Registry
- Project page
- Configuration:
- Layer: Core Service (Processor)
- GitLab.com: GitLab Container Registry
The registry is what users use to store their own Docker images. The bundled
registry uses NGINX as a load balancer and GitLab as an authentication manager.
Whenever a client requests to pull or push an image from the registry, it
returns a 401
response along with a header detailing where to get an
authentication token, in this case the GitLab instance. The client then
requests a pull or push auth token from GitLab and retries the original request
to the registry. Learn more about token authentication.
An external registry can also be configured to use GitLab as an auth endpoint.
Sentry
- Project page
- Configuration:
- Layer: Monitoring
- GitLab.com: Searching Sentry
Sentry fundamentally is a service that helps you monitor and fix crashes in real time. The server is in Python, but it contains a full API for sending events from any language, in any application.
For monitoring deployed apps, see the Sentry integration docs
Sidekiq
- Project page
- Configuration:
- Layer: Core Service (Processor)
- Process:
sidekiq
- GitLab.com: Sidekiq
Sidekiq is a Ruby background job processor that pulls jobs from the Redis queue and processes them. Background jobs allow GitLab to provide a faster request/response cycle by moving work into the background.
Puma
Starting with GitLab 13.0, Puma is the default web server.
- Project page
- Configuration:
- Layer: Core Service (Processor)
- Process:
puma
- GitLab.com: Puma
Puma is a Ruby application server that is used to run the core Rails Application that provides the user facing features in GitLab. Often this displays in process output as bundle
or config.ru
depending on the GitLab version.
LDAP Authentication
- Configuration:
- Layer: Core Service (Processor)
- GitLab.com: Product Tiers
Outbound Email
- Configuration:
- Layer: Core Service (Processor)
- GitLab.com: Mail configuration
Inbound Email
- Configuration:
- Layer: Core Service (Processor)
- GitLab.com: Mail configuration
GitLab by request type
GitLab provides two “interfaces” for end users to access the service:
- Web HTTP Requests (Viewing the UI/API)
- Git HTTP/SSH Requests (Pushing/Pulling Git Data)
It’s important to understand the distinction as some processes are used in both and others are exclusive to a specific request type.
GitLab Web HTTP request cycle
When making a request to an HTTP Endpoint (think /users/sign_in
) the request takes the following path through the GitLab Service:
- NGINX - Acts as our first line reverse proxy.
- GitLab Workhorse - This determines if it needs to go to the Rails application or somewhere else to reduce load on Puma.
- Puma - Since this is a web request, and it needs to access the application, it routes to Puma.
- PostgreSQL/Gitaly/Redis - Depending on the type of request, it may hit these services to store or retrieve data.
GitLab Git request cycle
Below we describe the different paths that HTTP vs. SSH Git requests take. There is some overlap with the Web Request Cycle but also some differences.
Web request (80/443)
Git operations over HTTP use the stateless “smart” protocol described in the Git documentation, but responsibility for handling these operations is split across several GitLab components.
Here is a sequence diagram for git fetch
. Note that all requests pass through
NGINX as well as any other HTTP load balancers, but are not transformed in any
way by them. All paths are presented relative to a /namespace/project.git
URL.
The sequence is similar for git push
, except git-receive-pack
is used
instead of git-upload-pack
.
SSH request (22)
Git operations over SSH can use the stateful protocol described in the Git documentation, but responsibility for handling them is split across several GitLab components.
No GitLab components speak SSH directly - all SSH connections are made between
Git on the client machine and the SSH server, which terminates the connection.
To the SSH server, all connections are authenticated as the git
user; GitLab
users are differentiated by the SSH key presented by the client.
Here is a sequence diagram for git fetch
, assuming Fast SSH key lookup
is enabled. Note that AuthorizedKeysCommand
is an executable provided by
GitLab Shell:
The git push
operation is very similar, except git receive-pack
is used
instead of git upload-pack
.
If fast SSH key lookups are not enabled, the SSH server reads from the
~git/.ssh/authorized_keys
file to determine what command to run for a given
SSH session. This is kept up to date by an AuthorizedKeysWorker
in Rails, scheduled to run whenever an SSH key is modified by a user.
SSH certificates may be used
instead of keys. In this case, AuthorizedKeysCommand
is replaced with an
AuthorizedPrincipalsCommand
. This extracts a username from the certificate
without using the Rails internal API, which is used instead of key_id
in the
/api/internal/allowed
call later.
GitLab Shell also has a few operations that do not involve Gitaly, such as resetting two-factor authentication codes. These are handled in the same way, except there is no round-trip into Gitaly - Rails performs the action as part of the internal API call, and GitLab Shell streams the response back to the user directly.
System layout
When referring to ~git
in the pictures it means the home directory of the Git user which is typically /home/git
.
GitLab is primarily installed within the /home/git
user home directory as git
user. Within the home directory is where the GitLab server software resides as well as the repositories (though the repository location is configurable).
The bare repositories are located in /home/git/repositories
. GitLab is a Ruby on rails application so the particulars of the inner workings can be learned by studying how a Ruby on rails application works.
To serve repositories over SSH there’s an add-on application called GitLab Shell which is installed in /home/git/gitlab-shell
.
Installation folder summary
To summarize here’s the directory structure of the git
user home directory.
Processes
ps aux | grep '^git'
GitLab has several components to operate. It requires a persistent database
(PostgreSQL) and Redis database, and uses Apache httpd
or NGINX to proxypass
Puma. All these components should run as different system users to GitLab
(for example, postgres
, redis
, and www-data
, instead of git
).
As the git
user it starts Sidekiq and Puma (a simple Ruby HTTP server
running on port 8080
by default). Under the GitLab user there are normally 4
processes: puma master
(1 process), puma cluster worker
(2 processes), sidekiq
(1 process).
Repository access
Repositories get accessed via HTTP or SSH. HTTP cloning/push/pull uses the GitLab API and SSH cloning is handled by GitLab Shell (previously explained).
Troubleshooting
See the README for more information.
Init scripts of the services
The GitLab init script starts and stops Puma and Sidekiq:
/etc/init.d/gitlab
Usage: service gitlab {start|stop|restart|reload|status}
Redis (key-value store/non-persistent database):
/etc/init.d/redis
Usage: /etc/init.d/redis {start|stop|status|restart|condrestart|try-restart}
SSH daemon:
/etc/init.d/sshd
Usage: /etc/init.d/sshd {start|stop|restart|reload|force-reload|condrestart|try-restart|status}
Web server (one of the following):
/etc/init.d/httpd
Usage: httpd {start|stop|restart|condrestart|try-restart|force-reload|reload|status|fullstatus|graceful|help|configtest}
$ /etc/init.d/nginx
Usage: nginx {start|stop|restart|reload|force-reload|status|configtest}
Persistent database:
$ /etc/init.d/postgresql
Usage: /etc/init.d/postgresql {start|stop|restart|reload|force-reload|status} [version ..]
Log locations of the services
GitLab (includes Puma and Sidekiq logs):
-
/home/git/gitlab/log/
containsapplication.log
,production.log
,sidekiq.log
,puma.stdout.log
,git_json.log
andpuma.stderr.log
normally.
GitLab Shell:
/home/git/gitlab-shell/gitlab-shell.log
SSH:
-
/var/log/auth.log
auth log (on Ubuntu). -
/var/log/secure
auth log (on RHEL).
NGINX:
-
/var/log/nginx/
contains error and access logs.
Apache httpd
:
- Explanation of Apache logs.
-
/var/log/apache2/
contains error and output logs (on Ubuntu). -
/var/log/httpd/
contains error and output logs (on RHEL).
Redis:
-
/var/log/redis/redis.log
there are also log-rotated logs there.
PostgreSQL:
/var/log/postgresql/*
GitLab specific configuration files
GitLab has configuration files located in /home/git/gitlab/config/*
. Commonly referenced
configuration files include:
-
gitlab.yml
: GitLab configuration -
puma.rb
: Puma web server settings -
database.yml
: Database connection settings
GitLab Shell has a configuration file at /home/git/gitlab-shell/config.yml
.
Maintenance tasks
GitLab provides Rake tasks with which you see version information and run a quick check on your configuration to ensure it is configured properly within the application. See maintenance Rake tasks. In a nutshell, do the following:
sudo -i -u git
cd gitlab
bundle exec rake gitlab:env:info RAILS_ENV=production
bundle exec rake gitlab:check RAILS_ENV=production
It’s recommended to sign in to the git
user using either sudo -i -u git
or
sudo su - git
. Although the sudo
commands provided by GitLab work in Ubuntu,
they don’t always work in RHEL.
GitLab.com
The GitLab.com architecture is detailed for your reference, but this architecture is only useful if you have millions of users.