[{"data":1,"prerenderedAt":703},["ShallowReactive",2],{"/en-us/blog/making-builds-faster-autoscaling-runners/":3,"navigation-en-us":36,"banner-en-us":452,"footer-en-us":464,"Chrissie Buchanan":675,"next-steps-en-us":688},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":26,"_id":29,"_type":30,"title":31,"_source":32,"_file":33,"_stem":34,"_extension":35},"/en-us/blog/making-builds-faster-autoscaling-runners","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"How to make builds faster","How GitLab uses autoscaling to reduce build times and make developers happy.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749673173/Blog/Hero%20Images/autoscaling-balance.jpg","https://about.gitlab.com/blog/making-builds-faster-autoscaling-runners","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"How to make builds faster\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Chrissie Buchanan\"}],\n        \"datePublished\": \"2019-08-21\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21,"tags":22},[18],"Chrissie Buchanan","2019-08-21","\nPicture this: It’s 5:30 pm on a Friday and a project manager has an urgent request. A\nbug is affecting a group of customers and it needs to be fixed ASAP. You find the discrepancy\nand, _phew_, it looks like it’s going to be a relatively easy fix. You make the update and\nstart the CI pipeline… and then you wait… and wait. Two hours later, you’re still waiting. What was\nsupposed to be a quick fix has turned into another long night sitting in a queue.\n\n[The team at Ticketmaster](/blog/continuous-integration-ticketmaster/) certainly felt the\npain with their Jenkins pipelines, and many [DevOps](/topics/devops/) teams are all too familiar with sluggish CI.\n\nSlow builds hinder development speed. Plus – they’re annoying. It’s just one more thing developers\nhave to deal with in order to do their jobs. Organizations might dedicate more servers to process\nthese builds in an effort to solve the problem, but often that creates more problems. More servers\nmean higher cloud and computing costs. When it comes to long builds, many developers have\nresigned themselves to just “grin and bear it.”\n\n## Making builds _faster_\n\n[Continuous integration](/solutions/continuous-integration/) allows you to run a number of tasks as you\nprepare to deploy your software, like building a software package or running tests. These tasks\nneed to be run by something. At GitLab we call these task enablers runners, though other [CI tools](/solutions/continuous-integration/) call them\nagents. Runners are an application that processes builds: If all of these runners are in use, work\nis queued until one becomes available. Let's say your peak usage is 100 jobs, but your average\nusage is around 25 jobs. You have to decide how many servers to provision. If you go with the\naverage, you will have to wait during peak usage times. So why not just add more runners? Some\nservices actually charge for each of these virtual machines, and if you’re not using them all\nthe time, those costs can add up. If you're on a cloud infrastructure, you're paying for that\nserver time – even when it's not doing anything.\n\nFor ops teams, it’s been a never-ending balancing act of having the right amount of runners\nfor the right amount of work. But tasks don’t happen in a vacuum – every team has slow times\nand busier times that are unpredictable.\n\nNobody likes waiting. With this universal truth in mind, we introduced autoscaling to GitLab Runners.\n\n## What are autoscaling runners?\n\nAutoscaling gives teams the ability to utilize resources in a more elastic and dynamic way. What\nthis means is that our runners can be configured so that machines are created _on demand_.\nThose machines, after the job is finished, can wait to run the next jobs or be removed automatically.\nYou can even specify the `IdleTime` of a server before it shuts off. 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