Explore projects
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Example Ruby on Rails application demonstrating best practices for building applications with Workshop and deploying to Cloud.gov
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Kaniko provides the ability to build images within non-privileged environments
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Workshop-flavored Rails application template. Includes everything you need for an out-of-the-box federally compliant Rails application.
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Static Application Security Testing (SAST) checks your source code for known vulnerabilities.
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Glue project to catch whatever applies to the entire subgroup or doesn't otherwise have a home.
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This project is home to the OpenTofu CI/CD component and it's related assets, like the gitlab-tofu wrapper script and OCI images containing that script together with an OpenTofu version.
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Infra-as-Code template for Terraform
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Template for customer IaC to control namespace settings, create subgroups, and create projects.
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CI/CD component for the workshop namespace config projects.
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Cross-product administrative GUI console for Cloud.gov customers and staff.
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This service monitors customer usage of paid resources on the platform, tracks customers’ available credits, and supports administrative processes related to billing.
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Shared schemas and related tooling used by multiple Workshop components
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Custom GitLab Runner executor and drivers to run jobs on cloud.gov Cloud Foundry
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CI/CD component for building images in Workshop Runner Service
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Terraform modules for GitLab, building atop terraform-provider-gitlab
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BETA: Dependency Scanning for supported projects
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A simple container image for finding the available versions of gitlab-runner-helper
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CI Templates for integrating Open Source Code Quality Scanners with GitLab
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Statically compiled vendored binaries for use by Runner Worker instances in support of gitlab-runner-helper
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The Value Streams Dashboard Scheduled Reports tool is a CI/CD component which allows you to periodically schedule a report with the most recent metrics from the Value Streams Dashboard feature.
The tool collects metrics from projects or groups via the public GitLab GraphQL API then builds a report using the GitLab Flavored Markdown format. As the last step, an issue will be opened in the designated project.
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