webcast to learn about continuous methods and how GitLab’s built-in CI can help you simplify and scale software development.
webcast to learn about continuous methods and how GitLab’s built-in CI can help you simplify and scale software development.
## Overview
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For a broader overview, see the [CI/CD getting started](quick_start/README.md) guide.
Once you're familiar with how GitLab CI/CD works, see the
[`.gitlab-ci.yml` full reference](yaml/README.md)
[`.gitlab-ci.yml` full reference](yaml/README.md)
for all the attributes you can set and use.
NOTE: **Note:**
GitLab CI/CD and [shared runners](runners/README.md#shared-specific-and-group-runners) are enabled in GitLab.com and available for all users, limited only to the [user's pipelines quota](../user/admin_area/settings/continuous_integration.md#extra-shared-runners-pipeline-minutes-quota-free-only).
GitLab CI/CD and [shared runners](runners/README.md#shared-specific-and-group-runners) are enabled in GitLab.com and available for all users, limited only to the [user's pipelines quota](../user/gitlab_com/index.md#shared-runners).
We use a tracking interface that wraps up [Snowplow](https://github.com/snowplow/snowplow) for tracking custom events. Snowplow implements page tracking, but also exposes custom event tracking.
GitLab provides `Tracking`, an interface that wraps
[Snowplow](https://github.com/snowplow/snowplow) for tracking custom events.
It uses Snowplow's custom event tracking functions.
The tracking interface can be imported in JS files as follows:
Shared Runners on GitLab.com run in [autoscale mode] and 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](../../subscriptions/index.md#extra-shared-runners-pipeline-minutes), if
needed. Read about all [GitLab.com plans](https://about.gitlab.com/pricing/).
All your CI/CD jobs run on [n1-standard-1 instances](https://cloud.google.com/compute/docs/machine-types) with 3.75GB of RAM, CoreOS and the latest Docker Engine
installed. Instances provide 1 vCPU and 25GB of HDD disk space. The default