How to make builds faster

A project manager's urgent request at the end of the workweek highlights the frustration many DevOps teams face with slow CI pipelines, a problem Ticketmaster experienced with Jenkins. Slow builds can stall development, leading to increased costs when organizations add more servers to handle peak usage, especially on cloud infrastructures where idle servers still incur expenses. GitLab's introduction of autoscaling runners aims to address this issue by dynamically creating and removing machines based on demand, optimizing resource usage, and reducing costs. Autoscaling allows teams to maintain the right balance of runners, ensuring efficient build processing without over-provisioning and enabling developers to focus on coding. The implementation of autoscaling runners by Substrakt Health, which led to a 90% reduction in EC2 costs, exemplifies the potential savings and efficiency gains. This approach supports the core DevOps goals of speed and efficiency by allowing teams to deploy better software without the infrastructure concerns that traditionally slow down the process.

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.