thoughtbot/suspenders
Suspenders
Suspenders is a Ruby on Rails project bootstrapper and application template. It provides a standardized foundation for initializing server-side projects by integrating a pre-configured suite of libraries for monitoring, testing, and version control.
The toolkit features a dedicated deployment framework optimized for Heroku, automating the delivery of code to staging and production environments. It employs an infrastructure as code approach using versioned configuration files to ensure consistency across different cloud environments and reduce deployment outages.
The project covers automated workflows for continuous integration and delivery, including automated testing and style linting. It also includes capabilities for environment provisioning, such as configuring git remotes and database setups.
Features
- Application Scaffolding - Generating new server-side projects with a built-in suite of tools for monitoring, tracking, and testing.
- Project Bootstrappers - A toolkit for initializing server-side applications with a standardized suite of processing and tracking libraries.
- Heroku-Specific Pipelines - Provides a deployment pipeline optimized for Heroku with pre-configured staging and production environments.
- Bootstrapping Templates - Starting new web applications with a pre-configured set of standard libraries and default settings to save initial setup time.
- Rails Application Generators - Generate a new web application with pre-configured libraries for processing, notification, monitoring, and testing.
- Application Project Bootstrapping - Create a new application by applying a pre-configured set of default libraries and deployment settings.
- Project Scaffolding - Generating new server-side projects with a built-in suite of tools for monitoring, tracking, and testing.
- Template-Based Project Scaffolders - Generates new applications by applying pre-configured default libraries and deployment settings to a fresh codebase.
- Standardized Library Bootstrapping - Injects a consistent suite of monitoring and testing libraries into the initial Ruby on Rails project architecture.
- CI/CD Pipeline Orchestration - Establishing automated testing and delivery workflows to validate code changes and deploy them consistently to cloud environments.
- CI CD Pipelines - Establishes automated workflows for testing and linting that validate code changes before cloud deployment.
- CI/CD Pipeline Configurations - Provides configuration files to define automated testing and linting workflows for external CI services.
- Cloud Deployment Automation - Provision staging and production environments, configure remotes, and schedule automated database backups.
- Continuous Integration Pipelines - Implements automated testing and style linting sequences to validate code changes before they reach production.
- Platform-Specific Automations - Create staging and production environments, configure remotes, and schedule automated database backups.
- Application Templates - A standardized foundation for server-side projects that integrates common dependencies and environment configurations.
- Project Scaffolding Templates - Scaffolds new Ruby on Rails applications using a standardized set of default libraries and settings.
- Infrastructure as Code - Uses versioned configuration files to define cloud environments and ensure consistency across deployment stages.
- Continuous Delivery Pipelines - Automate the flow of code from development to production to increase delivery velocity and ensure consistency.
- Infrastructure as Code Toolkits - Versioned configuration files that define cloud environments to ensure consistency between staging and production setups.
- Infrastructure as Code - Defines cloud environments using version-controlled text files to mirror production setups and reduce outages.
- Application Templates - Standardized template ready for deployment.
- Rails Application Generators - Base Rails application template used by thoughtbot.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
