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This article details how GitLab.com manages its deployment pipeline, deploying code changes up to 12 times daily without downtime. It explains the technical processes involved, including Canary strategies and database migrations, and emphasizes the importance of rapid deployment for customer feedback and feature validation.
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GitLab.com deploys code changes up to 12 times a day without downtime, managing this through its CI/CD platform. This high frequency not only acts as a quality gate but also allows customers to access new features quickly. GitLab’s approach integrates customer feedback into development, enabling rapid responses to issues and immediate security patches. The deployment pipeline includes multiple stages, from code proposal to production deployment, using a structured process with checkpoints that ensure reliability.
The deployment pipeline is built around a scheduled pipeline that checks for successful commits. When a commit passes testing, an auto-deploy branch is created, triggering package builds and subsequent deployment steps. Quality assurance is embedded throughout, relying on automated tests that include unit, integration, and end-to-end checks. GitLab employs a Canary deployment strategy, exposing only 5% of traffic to new changes initially, which helps manage the complexity of database migrations and minimizes risk.
GitLab’s deployments demonstrate a hybrid architecture, balancing containerized services with traditional Linux services. They follow a progressive rollout strategy, validating changes at each stage before full production deployment. The deployment process prioritizes reliability, as GitLab uses its own methods for updates, ensuring that if a procedure doesn’t work for them, they won’t recommend it to customers. Each deployment phase includes safety checks and thorough monitoring, reinforcing the platform’s robustness in a real-world scenario.
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