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GitLab.com settings
In this page you will find information about the settings that are used on GitLab.com.
SSH host keys fingerprints
Below are the fingerprints for GitLab.com's SSH host keys. The first time you connect to a GitLab.com repository, you'll see one of these keys in the output.
Algorithm | MD5 (deprecated) | SHA256 |
---|---|---|
DSA (deprecated) | 7a:47:81:3a:ee:89:89:64:33:ca:44:52:3d:30:d4:87 |
p8vZBUOR0XQz6sYiaWSMLmh0t9i8srqYKool/Xfdfqw |
ECDSA | f1:d0:fb:46:73:7a:70:92:5a:ab:5d:ef:43:e2:1c:35 |
HbW3g8zUjNSksFbqTiUWPWg2Bq1x8xdGUrliXFzSnUw |
ED25519 | 2e:65:6a:c8:cf:bf:b2:8b:9a:bd:6d:9f:11:5c:12:16 |
eUXGGm1YGsMAS7vkcx6JOJdOGHPem5gQp4taiCfCLB8 |
RSA | b6:03:0e:39:97:9e:d0:e7:24:ce:a3:77:3e:01:42:09 |
ROQFvPThGrW4RuWLoL9tq9I9zJ42fK4XywyRtbOz/EQ |
SSH known_hosts
entries
Add the following to .ssh/known_hosts
to skip manual fingerprint
confirmation in SSH:
gitlab.com ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIAfuCHKVTjquxvt6CM6tdG4SLp1Btn/nOeHHE5UOzRdf
gitlab.com ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCsj2bNKTBSpIYDEGk9KxsGh3mySTRgMtXL583qmBpzeQ+jqCMRgBqB98u3z++J1sKlXHWfM9dyhSevkMwSbhoR8XIq/U0tCNyokEi/ueaBMCvbcTHhO7FcwzY92WK4Yt0aGROY5qX2UKSeOvuP4D6TPqKF1onrSzH9bx9XUf2lEdWT/ia1NEKjunUqu1xOB/StKDHMoX4/OKyIzuS0q/T1zOATthvasJFoPrAjkohTyaDUz2LN5JoH839hViyEG82yB+MjcFV5MU3N1l1QL3cVUCh93xSaua1N85qivl+siMkPGbO5xR/En4iEY6K2XPASUEMaieWVNTRCtJ4S8H+9
gitlab.com ecdsa-sha2-nistp256 AAAAE2VjZHNhLXNoYTItbmlzdHAyNTYAAAAIbmlzdHAyNTYAAABBBFSMqzJeV9rUzU4kWitGjeR4PWSa29SPqJ1fVkhtj3Hw9xjLVXVYrU9QlYWrOLXBpQ6KWjbjTDTdDkoohFzgbEY=
Mail configuration
GitLab.com sends emails from the mg.gitlab.com
domain via Mailgun and has
its own dedicated IP address (198.61.254.240
).
Alternative SSH port
GitLab.com can be reached via a different SSH port for git+ssh
.
Setting | Value |
---|---|
Hostname |
altssh.gitlab.com |
Port |
443 |
An example ~/.ssh/config
is the following:
Host gitlab.com
Hostname altssh.gitlab.com
User git
Port 443
PreferredAuthentications publickey
IdentityFile ~/.ssh/gitlab
GitLab Pages
Below are the settings for GitLab Pages.
Setting | GitLab.com | Default |
---|---|---|
Domain name | gitlab.io |
- |
IP address | 35.185.44.232 |
- |
Custom domains support | yes | no |
TLS certificates support | yes | no |
Maximum size (uncompressed) | 1G | 100M |
NOTE: Note: The maximum size of your Pages site is regulated by the artifacts maximum size which is part of GitLab CI/CD.
GitLab CI/CD
Below are the current settings regarding GitLab CI/CD.
Setting | GitLab.com | Default |
---|---|---|
Artifacts maximum size (uncompressed) | 1G | 100M |
Artifacts expiry time | kept forever | deleted after 30 days unless otherwise specified |
Scheduled Pipeline Cron | */5 * * * * |
19 * * * * |
Max jobs in active pipelines | 500 for Free tier, unlimited otherwise |
Unlimited |
Max pipeline schedules in projects | 10 for Free tier, 50 for all paid tiers |
Unlimited |
Repository size limit
The maximum size your Git repository is allowed to be, including LFS. If you are near or over the size limit, you can reduce your repository size with Git.
Setting | GitLab.com | Default |
---|---|---|
Repository size including LFS | 10G | Unlimited |
NOTE: Note:
git push
and GitLab project imports are limited to 5GB per request. Git LFS and imports other than a file upload are not affected by this limit.
IP range
GitLab.com is using the IP range 34.74.90.64/28
for traffic from its Web/API
fleet. This whole range is solely allocated to GitLab. You can expect connections from webhooks or repository mirroring to come
from those IPs and whitelist them.
GitLab.com is fronted by Cloudflare. For incoming connections to GitLab.com you might need to whitelist CIDR blocks of Cloudflare (IPv4 and IPv6)
For outgoing connections from CI/CD runners we are not providing static IP addresses. All our runners are deployed into Google Cloud Platform (GCP) - any IP based firewall can be configured by looking up all IP address ranges or CIDR blocks for GCP.
Maximum number of webhooks
A limit of:
- 100 webhooks applies to projects.
- 50 webhooks applies to groups. (BRONZE ONLY)
Shared Runners
GitLab offers Linux and Windows shared runners hosted on GitLab.com for executing your pipelines.
Linux Shared Runners
Linux Shared Runners on GitLab.com run in autoscale mode and are powered by Google Cloud Platform. Autoscaling means reduced waiting times to spin up CI/CD jobs, and isolated VMs for each project, thus maximizing security. They're free to use for public open source projects and limited to 2000 CI minutes per month per group for private projects. More minutes can be purchased, if needed. Read about all GitLab.com plans.
All your CI/CD jobs run on n1-standard-1 instances with 3.75GB of RAM, CoreOS and the latest Docker Engine installed. Instances provide 1 vCPU and 25GB of HDD disk space. The default region of the VMs is US East1. Each instance is used only for one job, this ensures any sensitive data left on the system can't be accessed by other people their CI jobs.
The gitlab-shared-runners-manager-X.gitlab.com
fleet of Runners are dedicated for GitLab projects as well as community forks of them. They use a slightly larger machine type (n1-standard-2) and have a bigger SSD disk size. They will not run untagged jobs and unlike the general fleet of shared Runners, the instances are re-used up to 40 times.
Jobs handled by the shared Runners on GitLab.com (shared-runners-manager-X.gitlab.com
),
will be timed out after 3 hours, regardless of the timeout configured in a
project. Check the issues 4010 and 4070 for the reference.
Below are the shared Runners settings.
Setting | GitLab.com | Default |
---|---|---|
GitLab Runner | Runner versions dashboard | - |
Executor | docker+machine |
- |
Default Docker image | ruby:2.5 |
- |
privileged (run Docker in Docker) |
true |
false |
Pre-clone script
Linux Shared Runners on GitLab.com provide a way to run commands in a CI
job before the Runner attempts to run git init
and git fetch
to
download a GitLab repository. The
pre_clone_script
can be used for:
- Seeding the build directory with repository data
- Sending a request to a server
- Downloading assets from a CDN
- Any other commands that must run before the
git init
To use this feature, define a CI/CD variable called
CI_PRE_CLONE_SCRIPT
that contains a bash script.
This example demonstrates how you might use a pre-clone step to seed the build directory.
config.toml
The full contents of our config.toml
are:
NOTE: Note:
Settings that are not public are shown as X
.
Google Cloud Platform
concurrent = X
check_interval = 1
metrics_server = "X"
sentry_dsn = "X"
[[runners]]
name = "docker-auto-scale"
request_concurrency = X
url = "https://gitlab.com/"
token = "SHARED_RUNNER_TOKEN"
pre_clone_script = "eval \"$CI_PRE_CLONE_SCRIPT\""
executor = "docker+machine"
environment = [
"DOCKER_DRIVER=overlay2",
"DOCKER_TLS_CERTDIR="
]
limit = X
[runners.docker]
image = "ruby:2.5"
privileged = true
volumes = [
"/certs/client",
"/dummy-sys-class-dmi-id:/sys/class/dmi/id:ro" # Make kaniko builds work on GCP.
]
[runners.machine]
IdleCount = 50
IdleTime = 3600
OffPeakPeriods = ["* * * * * sat,sun *"]
OffPeakTimezone = "UTC"
OffPeakIdleCount = 15
OffPeakIdleTime = 3600
MaxBuilds = 1 # For security reasons we delete the VM after job has finished so it's not reused.
MachineName = "srm-%s"
MachineDriver = "google"
MachineOptions = [
"google-project=PROJECT",
"google-disk-size=25",
"google-machine-type=n1-standard-1",
"google-username=core",
"google-tags=gitlab-com,srm",
"google-use-internal-ip",
"google-zone=us-east1-d",
"engine-opt=mtu=1460", # Set MTU for container interface, for more information check https://gitlab.com/gitlab-org/gitlab-runner/issues/3214#note_82892928
"google-machine-image=PROJECT/global/images/IMAGE",
"engine-opt=ipv6", # This will create IPv6 interfaces in the containers.
"engine-opt=fixed-cidr-v6=fc00::/7",
"google-operation-backoff-initial-interval=2" # Custom flag from forked docker-machine, for more information check https://github.com/docker/machine/pull/4600
]
[runners.cache]
Type = "gcs"
Shared = true
[runners.cache.gcs]
CredentialsFile = "/path/to/file"
BucketName = "bucket-name"
Windows Shared Runners (beta)
The Windows Shared Runners are currently in beta and should not be used for production workloads.
During the beta period, the shared runner pipeline quota will apply for groups and projects in the same way as Linux Runners. This may change when the beta period ends, as discussed in this related issue.
Windows Shared Runners on GitLab.com automatically autoscale by
launching virtual machines on the Google Cloud Platform. This solution uses
a new autoscaling driver
developed by GitLab for the custom executor.
Windows Shared Runners execute your CI/CD jobs on n1-standard-2
instances with 2
vCPUs and 7.5GB RAM. You can find a full list of available Windows packages in the
package documentation.
We want to keep iterating to get Windows Shared Runners in a stable state and generally available. You can follow our work towards this goal in the related epic.
Configuration
The full contents of our config.toml
are:
NOTE: Note:
Settings that are not public are shown as X
.
concurrent = X
check_interval = 3
[[runners]]
name = "windows-runner"
url = "https://gitlab.com/"
token = "TOKEN"
executor = "custom"
builds_dir = "C:\\GitLab-Runner\\builds"
cache_dir = "C:\\GitLab-Runner\\cache"
shell = "powershell"
[runners.custom]
config_exec = "C:\\GitLab-Runner\\autoscaler\\autoscaler.exe"
config_args = ["--config", "C:\\GitLab-Runner\\autoscaler\\config.toml", "custom", "config"]
prepare_exec = "C:\\GitLab-Runner\\autoscaler\\autoscaler.exe"
prepare_args = ["--config", "C:\\GitLab-Runner\\autoscaler\\config.toml", "custom", "prepare"]
run_exec = "C:\\GitLab-Runner\\autoscaler\\autoscaler.exe"
run_args = ["--config", "C:\\GitLab-Runner\\autoscaler\\config.toml", "custom", "run"]
cleanup_exec = "C:\\GitLab-Runner\\autoscaler\\autoscaler.exe"
cleanup_args = ["--config", "C:\\GitLab-Runner\\autoscaler\\config.toml", "custom", "cleanup"]
The full contents of our autoscaler/config.toml
are:
Provider = "gcp"
Executor = "winrm"
OS = "windows"
LogLevel = "info"
LogFormat = "text"
LogFile = "C:\\GitLab-Runner\\autoscaler\\autoscaler.log"
VMTag = "windows"
[GCP]
ServiceAccountFile = "PATH"
Project = "some-project-df9323"
Zone = "us-east1-c"
MachineType = "n1-standard-2"
Image = "IMAGE"
DiskSize = 50
DiskType = "pd-standard"
Subnetwork = "default"
Network = "default"
Tags = ["TAGS"]
Username = "gitlab_runner"
[WinRM]
MaximumTimeout = 3600
ExecutionMaxRetries = 0
[ProviderCache]
Enabled = true
Directory = "C:\\GitLab-Runner\\autoscaler\\machines"
Example
Below is a simple .gitlab-ci.yml
file to show how to start using the
Windows Shared Runners:
.shared_windows_runners:
tags:
- shared-windows
- windows
- windows-1809
stages:
- build
- test
before_script:
- Set-Variable -Name "time" -Value (date -Format "%H:%m")
- echo ${time}
- echo "started by ${GITLAB_USER_NAME}"
build:
extends:
- .shared_windows_runners
stage: build
script:
- echo "running scripts in the build job"
test:
extends:
- .shared_windows_runners
stage: test
script:
- echo "running scripts in the test job"
Limitations and known issues
- All the limitations mentioned in our beta definition.
- The average provisioning time for a new Windows VM is 5 minutes. This means that you may notice slower build start times on the Windows Shared Runner fleet during the beta. In a future release we will update the autoscaler to enable the pre-provisioning of virtual machines. This will significantly reduce the time it takes to provision a VM on the Windows fleet. You can follow along in the related issue.
- The Windows Shared Runner fleet may be unavailable occasionally for maintenance or updates.
- The Windows Shared Runner virtual machine instances do not use the
GitLab Docker executor. This means that you will not be able to specify
image
orservices
in your pipeline configuration. - For the beta release, we have included a set of software packages in
the base VM image. If your CI job requires additional software that's
not included in this list, then you will need to add installation
commands to
before_script
orscript
to install the required software. Note that each job runs on a new VM instance, so the installation of additional software packages needs to be repeated for each job in your pipeline. - The job may stay in a pending state for longer than the Linux shared Runners.
- There is the possibility that we introduce breaking changes which will require updates to pipelines that are using the Windows Shared Runner fleet.
Sidekiq
GitLab.com runs Sidekiq with arguments --timeout=4 --concurrency=4
and the following environment variables:
Setting | GitLab.com | Default |
---|---|---|
SIDEKIQ_DAEMON_MEMORY_KILLER |
- | - |
SIDEKIQ_MEMORY_KILLER_MAX_RSS |
2000000 |
2000000 |
SIDEKIQ_MEMORY_KILLER_HARD_LIMIT_RSS |
- | - |
SIDEKIQ_MEMORY_KILLER_CHECK_INTERVAL |
- | 3 |
SIDEKIQ_MEMORY_KILLER_GRACE_TIME |
- | 900 |
SIDEKIQ_MEMORY_KILLER_SHUTDOWN_WAIT |
- | 30 |
SIDEKIQ_LOG_ARGUMENTS |
1 |
- |
NOTE: Note:
The SIDEKIQ_MEMORY_KILLER_MAX_RSS
setting is 16000000
on Sidekiq import
nodes and Sidekiq export nodes.
PostgreSQL
GitLab.com being a fairly large installation of GitLab means we have changed various PostgreSQL settings to better suit our needs. For example, we use streaming replication and servers in hot-standby mode to balance queries across different database servers.
The list of GitLab.com specific settings (and their defaults) is as follows:
Setting | GitLab.com | Default |
---|---|---|
archive_command | /usr/bin/envdir /etc/wal-e.d/env /opt/wal-e/bin/wal-e wal-push %p |
empty |
archive_mode | on | off |
autovacuum_analyze_scale_factor | 0.01 | 0.01 |
autovacuum_max_workers | 6 | 3 |
autovacuum_vacuum_cost_limit | 1000 | -1 |
autovacuum_vacuum_scale_factor | 0.01 | 0.02 |
checkpoint_completion_target | 0.7 | 0.9 |
checkpoint_segments | 32 | 10 |
effective_cache_size | 338688MB | Based on how much memory is available |
hot_standby | on | off |
hot_standby_feedback | on | off |
log_autovacuum_min_duration | 0 | -1 |
log_checkpoints | on | off |
log_line_prefix | %t [%p]: [%l-1] |
empty |
log_min_duration_statement | 1000 | -1 |
log_temp_files | 0 | -1 |
maintenance_work_mem | 2048MB | 16 MB |
max_replication_slots | 5 | 0 |
max_wal_senders | 32 | 0 |
max_wal_size | 5GB | 1GB |
shared_buffers | 112896MB | Based on how much memory is available |
shared_preload_libraries | pg_stat_statements | empty |
shmall | 30146560 | Based on the server's capabilities |
shmmax | 123480309760 | Based on the server's capabilities |
wal_buffers | 16MB | -1 |
wal_keep_segments | 512 | 10 |
wal_level | replica | minimal |
statement_timeout | 15s | 60s |
idle_in_transaction_session_timeout | 60s | 60s |
Some of these settings are in the process being adjusted. For example, the value
for shared_buffers
is quite high and as such we are looking into adjusting it.
More information on this particular change can be found at
https://gitlab.com/gitlab-com/infrastructure/issues/1555. An up to date list
of proposed changes can be found at
https://gitlab.com/gitlab-com/infrastructure/issues?scope=all&utf8=%E2%9C%93&state=opened&label_name[]=database&label_name[]=change.
Unicorn
GitLab.com adjusts the memory limits for the unicorn-worker-killer gem.
Base default:
memory_limit_min
= 750MiBmemory_limit_max
= 1024MiB
Web front-ends:
memory_limit_min
= 1024MiBmemory_limit_max
= 1280MiB
GitLab.com-specific rate limits
NOTE: Note: See Rate limits for administrator documentation.
IP blocks usually happen when GitLab.com receives unusual traffic from a single IP address that the system views as potentially malicious based on rate limit settings. After the unusual traffic ceases, the IP address will be automatically released depending on the type of block, as described below.
If you receive a 403 Forbidden
error for all requests to GitLab.com, please
check for any automated processes that may be triggering a block. For
assistance, contact GitLab Support
with details, such as the affected IP address.
HAProxy API throttle
GitLab.com responds with HTTP status code 429
to API requests that exceed 10
requests
per second per IP address.
The following example headers are included for all API requests:
RateLimit-Limit: 600
RateLimit-Observed: 6
RateLimit-Remaining: 594
RateLimit-Reset: 1563325137
RateLimit-ResetTime: Wed, 17 Jul 2019 00:58:57 GMT
Source:
- Search for
rate_limit_http_rate_per_minute
andrate_limit_sessions_per_second
in GitLab.com's current HAProxy settings.
Rack Attack initializer
Details of rate limits enforced by Rack Attack.
Protected paths throttle
GitLab.com responds with HTTP status code 429
to POST requests at protected
paths that exceed 10 requests per minute per IP address.
See the source below for which paths are protected. This includes user creation, user confirmation, user sign in, and password reset.
This header is included in responses to blocked requests:
Retry-After: 60
See Protected Paths for more details.
Git and container registry failed authentication ban
GitLab.com responds with HTTP status code 403
for 1 hour, if 30 failed
authentication requests were received in a 3-minute period from a single IP address.
This applies only to Git requests and container registry (/jwt/auth
) requests
(combined).
This limit:
- Is reset by requests that authenticate successfully. For example, 29 failed authentication requests followed by 1 successful request, followed by 29 more failed authentication requests would not trigger a ban.
- Does not apply to JWT requests authenticated by
gitlab-ci-token
.
No response headers are provided.
Admin Area settings
GitLab.com:
- Has rate limits on raw endpoints set to the default.
- Does not have the user and IP rate limits settings enabled.
Visibility settings
On GitLab.com, projects, groups, and snippets created As of GitLab 12.2 (July 2019), projects, groups, and snippets have the Internal visibility setting disabled on GitLab.com.
SSH maximum number of connections
GitLab.com defines the maximum number of concurrent, unauthenticated SSH connections by
using the MaxStartups setting.
If more than the maximum number of allowed connections occur concurrently, they are
dropped and users get
an ssh_exchange_identification
error.
GitLab.com Logging
We use Fluentd to parse our logs. Fluentd sends our logs to Stackdriver Logging and Cloud Pub/Sub. Stackdriver is used for storing logs long-term in Google Cold Storage (GCS). Cloud Pub/Sub is used to forward logs to an Elastic cluster using pubsubbeat.
You can view more information in our runbooks such as:
- A detailed list of what we're logging
- Our current log retention policies
- A diagram of our logging infrastructure
GitLab.com at scale
In addition to the GitLab Enterprise Edition Omnibus install, GitLab.com uses the following applications and settings to achieve scale. All settings are publicly available at chef cookbooks.
Elastic Cluster
We use Elasticsearch and Kibana for part of our monitoring solution:
Fluentd
We use Fluentd to unify our GitLab logs:
Prometheus
Prometheus complete our monitoring stack:
Grafana
For the visualization of monitoring data:
Sentry
Open source error tracking:
Consul
Service discovery:
HAProxy
High Performance TCP/HTTP Load Balancer: