Controlling Remote Development Costs on Public Clouds

The text discusses a Meetup at the Austin Office, focusing on how to control on-premises or public cloud computing costs. It highlights that moving development environments off local machines can lead to increased computing costs in public cloud infrastructure. Public cloud providers are offering solutions like VMs with IDE integration, but these options may not be cost-effective and lack controls to limit compute costs. Coder OSS provides an auto-stop feature for developers' workspaces after a predefined time of inactivity. The text also discusses how to size Kubernetes infrastructure based on input variables like compute required for an average development environment, number of users, and load volume. It emphasizes the importance of adjusting resource requests in workspace templates to save cloud costs. Finally, it mentions that Coder OSS allows specifying workspace resource costs and setting group-level quotas to prevent exceeding budgets.