ovh/cds

Enterprise-Grade Continuous Delivery & DevOps Automation Open Source Platform

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Summary Information

Updated 40 minutes ago
Added to GitGenius on September 14th, 2026
Created on October 11th, 2016
Open Issues & Pull Requests: 162 (+0)
GitHub issues: Enabled
Number of forks: 453
Total Stargazers: 4,843 (+0)
Total Subscribers: 86 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 11.5 hours
Mean response time: 183.2 days
90th percentile: 188.1 days
Tracked items: 12

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Issue Activity (beta)

Open issues: 15
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 516 days
Stale 30+ days: 10
Stale 90+ days: 9

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (1)
  • feature (1)
  • hatchery (1)
  • refactor (1)
  • ui (1)
  • ux (1)

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Detailed Description

CDS is an enterprise-grade continuous delivery and DevOps automation platform written in Go.

CDS addresses the need for scalable, self-service CI/CD infrastructure by introducing workflows as a core abstraction layer. Rather than organizing work solely around pipelines and jobs, the tool chains pipelines together with triggers, allowing complex multi-stage delivery processes. Pipelines themselves are structured into sequential stages containing concurrent jobs, giving teams fine-grained control over execution flow. The platform is designed for horizontal scalability and high availability, with all data persisted to a database rather than the filesystem, simplifying backup and recovery.

Teams should adopt CDS if they operate at scale and need self-service capabilities where developers can define and manage their own workflows without bottlenecks. It suits organizations running large numbers of concurrent jobs and those requiring pipeline reusability across projects. The tool provides both a web UI for building and monitoring workflows visually and a powerful command-line interface called cdsctl that enables scripting and browsing projects without opening a browser. A REST API underpins all functionality, supporting programmatic integration and customization.

The project maintains active development with a focus on production reliability. The platform has been deployed in production since 2015 and processes millions of worker executions annually. The team provides comprehensive documentation, ready-to-run Docker Compose tutorials for evaluation, and maintains an active discussion forum for user support. Development activity shows sustained investment in the codebase with regular updates and a commitment to monitoring and observability features needed for production deployments.