How we used parallel CI/CD jobs to increase our productivity

At GitLab, the challenge of efficiently managing simultaneous contributions from hundreds of contributors daily led to optimizing their pipeline processes, which initially involved over 90 varied jobs. With over 700 pipelines running, each representing a change from team members or community contributors, ensuring rapid completion is crucial for maintaining productivity. In December 2020, merge request pipelines averaged 53.8 minutes to complete, prompting efforts to reduce this time. One significant bottleneck was the frontend-fixtures job, which previously took 20 minutes but was optimized to run in parallel using the GitLab CI's parallel keyword, reducing its duration by about three minutes. Further improvements were made by distributing test files among parallel jobs using the Knapsack gem, which resulted in an additional reduction of approximately 3.5 minutes. These optimizations highlight the importance of identifying bottlenecks and leveraging parallel processing to enhance pipeline efficiency.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.