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I replaced my GitHub runners with Lambda MicroVMs, and maybe you should too

The author describes replacing standard GitHub Actions runners with Lambda MicroVMs, achieving faster CI/CD execution, lower costs, and more flexible scaling. The switch eliminated idle runner costs and improved performance for build tasks. The post details technical setup and trade-offs for teams considering a similar migration.

Background

- GitHub Actions is a CI/CD platform where you can run automated tasks (tests, builds, deployments) each time you push code. "Self-hosted runners" let you run those tasks on your own hardware instead of GitHub's servers, giving you more control but requiring you to manage machines. - Lambda MicroVMs (from the company Lambda GPU Cloud, better known for renting out NVIDIA GPUs for AI work) are lightweight virtual machines that start fast and cost by the second. This article is about using them as a cheaper, more scalable alternative to managing your own long-running servers or paying GitHub for its hosted runners. - The author's main claim is that by spinning up a Lambda MicroVM only when a GitHub Action job is triggered, and destroying it immediately after, you can reduce both cost and maintenance overhead compared to traditional self-hosted runners. - This sits in a broader trend of "serverless CI" — treating build jobs as ephemeral, on-demand workloads rather than long-running VMs or containers.

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I replaced my GitHub runners with Lambda MicroVMs, and maybe you should too

Background

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