The GitLab Demo Systems provide infrastructure for the GitLab Customer Success, Marketing, Sales, and Training teams to demonstrate GitLab features, value propositions, and workflows in a variety of asynchronous and live capacities.
The Demo Systems were architected by Jeff Martin (Senior Demo Systems Engineer). We have other team members in the Customer Success team that volunteer part-time to help support our users and infrastructure (James Sandlin and Cristiano Casella). We also collaborate with counterparts in other departments for broader GitLab infrastructure configuration in AWS, GCP, etc and security incident response.
For questions about what demo sample projects are available or peer assistance with troubleshooting your failed pipeline job, please ask in the
#cs-questions Slack channel.
@Jeff Martin in one of the following Slack channels with any questions or requests related to infrastructure or access requests.
#demo-systemsis for SA, TAM, and PSE team members with questions or needing technical assistance. No longer for training/workshop related posts.
#demo-systems-workshopsis for workshop-related discussions.
#demo-systems-ps-educationis for ILT/SPT/etc related discussions for Professional Services.
#sandbox-cloudis for announcements of AWS and GCP sandbox infrastructure.
#sandbox-cloud-questionsis for help and support with the Sandbox Cloud to reduce signal-noise ratio on #sandbox-cloud
Please consider this handbook documentation to be the single source of truth ("SSOT") for all resources that use the
gitlabtraining.cloud domain names.
Why shouldn’t we just use GitLab.com? Although you can use GitLab.com for showing most of the value of GitLab use cases, there are some administrative features that require the deployment of GitLab Omnibus infrastructure in AWS, GCP, or local VM/container. Many of our enterprise customers opt for self-managed over GitLab.com so we are mindful of “showing the customer what they’ll see in production”.
What’s special about our infrastructure? The demo systems infrastructure doesn’t do anything special that a customer or partner company couldn’t do themselves with the appropriate staffing and engineering investment. We have open sourced our infrastructure-as-code methods, scripts and tools for the wider community to use to streamline their deployment of Omnibus infrastructure. See the gitlab-com/demo-systems repositories to explore our open source projects.
Are there special engineering or scalability considerations with training classes and workshops? Yes. The GitLab product was designed for users to be doing different activities throughout the day and the smaller reference architectures are not designed for dozens or hundreds of users to click the same button and running the same background jobs or pipeline jobs at the same time. Our users are also ephemeral and have automated garbage collection requirements that are not customary for conventional GitLab product use cases. This requires special scalability considerations, notably with the Container Registry, Sidekiq, and Kubernetes that we have to accomodate for. Here's some of the things we're looking for with scalability challenges.
.gitlab-ci.ymlwithout realizing the underlying job load.
.gitlab-ci.ymlfiles without comments of the actions being performed
These shared environments are referred to as the Demo Cloud or Training Cloud. Historically, training users used the Demo Cloud so the names are used interchangably in some conversations.
gitlab-core.us.gitlabdemo.cloudinstance was deprecated on 2021-04-20 and destroyed on 2021-06-03. No data back up is available. See Access Shared Omnibus Instances instructions for accessing the
cs.gitlabdemo.cloudinstance (direct replacement).
cs.gitlabdemo.cloud- This is the primary GitLab Omnibus instance that all team members have access to for creating groups, projects, and sandbox purposes on a self-managed Omnibus instance. Please keep in mind that this is a shared environment across all team members and you should treat the Admin areas as read-only.
ilt.gitlabtraining.cloud- This is used for instructor-led training classes. You should generate credentials for this instance if you are an instructor and need admin access to be able to import sample projects and/or see the groups for all of the students in a class.
spt.gitlabtraining.cloud- This is used for self-paced training classes that are published in EdCast. You should only generate credentials for this instance if you are involved with instructional design or certification grading of self-paced student courses. If you are enrolled in a self-paced training class, you should follow the instructions for redeeming an invitation code to generate temporary credentials that can be used for accessing the instance that has been pre-configured for the training lab guide steps.
workshop.gitlabtraining.cloud- This is used for enablement and field marketing workshops that are delivered on a routine basis. You should generate credentials for this instance if you are involved creating lab sample projects, lab guides, presenting, or supporting a workshop.
group-csGCP project. See the tutorial for configuring GitLab with group-level Kubernetes cluster to add your cluster to your GitLab group.
These instructions are for Demo Systems v2 that uses the gitlabdemo.cloud Portal. The Demo Systems v1 infrastructure that used gitlabdemo.com has been deprecated except for training class invitation codes.
These instructions provide you access to one or more of our shared environments (Omnibus self-managed instances).
These instructions provide you access to your own AWS account and/or GCP project that you can use for deploying your own infrastructure with the benefit of centralized billing.
If you would like an AWS account for multiple users in a small group or department, please create an issue using the AWS Group Account Create Request issue template.
If you would like a GCP project for multiple users in a small group or department, please ask in Slack for the latest process instructions.
These instructions are for training class organizers, instructors, and workshop presenters to generate an invitation code that students can redeem to generate credentials for accessing the respective Training Cloud Omnibus instance.
Warning for GitLab team members: This process generates new credentials that are used for accessing the GitLab Demo Portal and/or GitLab Omnibus instance that you may already be authenticated to using your administrative user account. These instructions should be performed in an incognito browser window to avoid user authentication session conflicts.
You will receive a 404 error if you click on the name of the
Training Usersfolder since you do not have access to resources in that specific folder. Behind the scenes, this is actually a 403 (Unauthorized) error.
My Test Group - iu######group.
The workshop process has iterated multiple times. The latest version of the workshop preparation process has been simplified into a self-service model.
As the workshop presenter and supporting team member, you are responsible for importing and testing your sample projects and lab guide content. There is no support provided for misconfigured projects, failing pipelines and jobs, or GitLab Runner error messages specific to projects and jobs.
There is no more peer review or approval process other than scheduling coordination with the field marketing team. You no longer need to create an issue in the Demo Systems Issue Tracker. These instructions provide best practice guidance. If you need assistance, please ask in the
#cs-questions Slack channel to get help from other team members that have delivered similar workshops.
Schedule a Date - This is usually handled by the field marketing team or workshop organizer. As of 2021-04-23, we have a capacity restriction of one workshop per calendar week. The real-time SSOT schedule can be found in field-marketing#3074.
Invitation Code - Create your invitation code using the instructions. This will automatically create the GitLab group (
/training-users/session-########) that all student groups and projects will be created underneath. There is a single invitation code per workshop (specific date) that is shared across all student attendees and any instructors performing the lab steps for testing purposes. We can administratively update the expiration date if your workshop is rescheduled. This invitation code should be added in the field marketing issue.
Import Sample Project(s) - Access the https://workshop.gitlabtraining.cloud Omnibus instance using the administrative credentials that you generated previously and saved in 1Password. Import the project into the Sample Project Templates group and set the project visibility to
Public. This will now appear as an instance level project template when you create a new project as a student.
Redeem the Invitation Code (for test user account) - Open a new browser window in incognito mode and visit https://gitlabdemo.com/invite. Copy and paste the invitation code that you created and click the Redeem and Create Account button. Follow the instructions for invitation code redemption to access the GitLab group that was created for your student user account.
Follow Your Lab Guide Steps - You are now signed in as a student and should run through the steps that you plan on having students run through. It is important to be very detail click-by-click oriented and not use any of your tribal knowledge that your students don't have. All pipelines should pass and have no failed jobs, unless the job failure is specifically documented in your lab guide instructions and the project README. If you run into problems, you will need to debug them and update the lab guide with the fix or solution. There is no support provided for misconfigured projects, failing pipelines and jobs, or GitLab Runner error messages specific to projects and jobs, so it is best practice to do your due diligence and have peers run through the lab guide as well to catch any errors to provide the most polished experience for students. If you need assistance, please ask in the
#cs-questions Slack channel to get help from other team members that have delivered similar workshops.
Day of the Workshop - Use the slides to show students how to properly redeem an invitation code. This can be copied into your lab guide steps. The workshop presenter(s) are responsible for providing support and triaging any problems or failed pipeline job error messages that students see when using your sample project.
Extension Policy - We do not extend workshop access since it is very resource intensive to keep resources around. Students have access to the Training Cloud until 00:00 UTC two days following the workshop (4:00pm PT on the day after the workshop). Ask students to perform an export of any projects that they want to keep that can be reimported into GitLab.com or another Omnibus instance in their own environment. The sample project templates group is publicly accessible for reference at a later time, however iterative changes are to be expected.
All of the workshop content that are created officially can be found in the gitlab-com/customer-success/workshops group. There have historically been many deviations and custom workshops that have been created, so use your best judgement on which sample project to use for your workshop. It is a best practice to test your sample project before every workshop to debug any errors before you have 200 students with problems.
|Lab Guide Name||Links||Maintainer|
|Advanced CI/CD||Slides and Sample Projects||
|Program and Project Management||Slides and Sample Projects||
|DevOps Automation||Slides and Sample Projects||
|Security||Slides and Sample Projects||
When creating new lab guides for a workshop, you should start planning and creating your workshop labs 6-8+ weeks before the planned date of the workshop. It is a best practice to create and publish your content before scheduling a date for your workshop. As part of our efficiency value, we encourage you to reuse workshop materials from previous events.
These are recommendations (not requirements) to help you be successful based on past experience. You can do what you need to do, however keep in mind that you're responsible for supporting and triaging up to 200 users simultaneously who have problems with the sample projects and lab guides that you create.
[4-6+ weeks prior]Create or import sample project(s) - Create your code sample project or import your existing sample project into the Sample Project Templates GitLab group and set the visibility to
Public. You can start using your sample project and perform testing using the workshop preparation instructions.
[4-6+ weeks prior]Create a slide deck using the template and add steps for your exercises - This slide deck has the standardized instructions for students to redeem an invitation code and import their project. You will need to add additional slides with the lab exercises being performed in your workshop.
[3-5+ weeks prior]Publish the link to your sample project in the event issue - After your project is ready for performing lab exercises, update the event issue description with the link to your sample project.
[3-5+ weeks prior]Publish the link to your slides in the issue - After you have added your lab exercise steps, update the event issue description with the link to your slides. The peer review process is up to your discretion.
[3-5+ weeks prior]Record a video of yourself performing lab steps (dry run) - Use your preferred screenshare recording tool (Zoom, Camtasia, Screenflow, etc) to record a video of walking through the lab steps and providing a narrative of what you're doing. This serves as a dry run that other team members can review and serves as a guideline for peer reviewers to follow if your lab steps are not sufficient. You will find that you will explain a lot of things verbally that are not written down and this is a chance to capture it while benefiting the others that are reviewing the labs.
[2-4+ weeks prior]Peer review of lab exercises - The peer reviewers should review the slide deck for understandability and topic coverage. They will also perform the lab exercises as if they are a student to ensure that instructions are easy to understand and follow, and identify any technical issues or possible confusion areas that should be known for the team members assisting with the workshop in real time.
[2-3+ weeks prior]Final edits and publishing - It is expected that there will be several hours of edits to make to the slides or lab exercises based on the peer review.
[1-3+ weeks after]Publish to catalog - After the workshop has been completed and any reported problems are mitigated, you should publish the lab guide for your workshop to the catalog for future re-use.
We perform version upgrades on the weekend following the 22nd of each month. The weekend upgrades are performed at a random time on Saturday or Sunday based on engineer availablility and lasts for approximately 30 minutes.
We delay the upgrade window for updates that we consider risky or occur during holidays. This occurs during May each year that aligns with the US Memorial Day holiday, in December around the Christmas Holiday, and in January at the end of the fiscal year when we have a configuration freeze until sales demos are completed.
For patch and security updates, we will usually only perform upgrades for critical updates and will announce maintenance windows in the
#demo-systems channel on Slack.
|GitLab Version||Release Date||Upgrade Window (Sat to Sun)|
|v13.9||2021-02-22 (Mon)||02-27 to 02-28|
|v13.10||2021-03-22 (Mon)||03-27 to 03-28|
|v13.11||2021-04-22 (Thu)||04-24 to 04-25|
|v13.12||2021-05-22 (Sat)||06-05 to 06-06 (delay)|
|v14.0||2021-06-22 (Tue)||06-26 to 06-27|
|v14.1||2021-07-22 (Thu)||07-24 to 07-25|
|v14.2||2021-08-22 (Sun)||08-28 to 08-29|
|v14.3||2021-09-22 (Wed)||09-25 to 09-26|
|v14.4||2021-10-22 (Fri)||10-23 to 10-24|
|v14.5||2021-11-22 (Mon)||11-27 to 11-28|
|v14.6||2021-12-22 (Wed)||01-01 to 01-02 (delay)|
|v14.7||2022-01-22 (Sat)||02-05 to 02-06 (delay)|
We keep our shared environment up-to-date with the latest versions to help showcase the value that the newest features and solutions offer.
For demo and sandbox use cases requiring an older version, you can deploy a GitLab instance in a container in the Container Sandbox or using Omnibus in the Compute Sandbox. We do not offer any data migration or parity configuration support.
Historically, there has not been a consistent set of demo data. Each of our Solutions Architects are responsible for creating their own demo data or forking projects from other team members.
These are the projects that make the Demo Systems possible behind the scenes. You are welcome to study and learn from any of our source code. Each project is classified as
Private depenending on the security risk of the source code or information contained within.
The Demo Systems v2 repositories can be found in gitlab.com/gitlab-com/demo-systems.
PublicUnderlying Terraform Modules and Ansible Role
PublicAssembled Terraform Modules and Environments
PrivateEnvironments IaC - see
terraform/terraform.tfvars.jsonand CI pipeline
Private - OpsSandbox Cloud Infrastructure
The Demo Systems v1 repositories can be found in gitlab.com/gitlab-com/customer-success/demo-systems.
PrivateTerraform Monolith Environments and Modules
PrivateAnsible Monolith Configuration and Roles
PrivateManagement Applications (gitlabdemo.com)
We use Slack for real-time support and quick fixes. If in doubt of how to get help, ask in
#demo-systems. The issue trackers are used for tasks and projects that take longer than 30 minutes. We do not use email for internal team communications.
#demo-systemsSlack channel (for Demo Cloud announcements, questions, and technical support with Demo Cloud)
#demo-systems-ps-educationSlack channel (for ILT/SPT training lab discussions)
#demo-systems-workshopsSlack channel (for workshop discussions)
#sandbox-cloudSlack channel (for Sandbox Cloud announcements)
#sandbox-cloud-questionsSlack channel (for Sandbox Cloud questions and technical support)
firstname.lastname@example.org(for non-Slack users)