DRAFT: I'd like feedback on this approach for 1k before I give the others the same treatment and add a 10k document.
- Bumps database requirements to 8 vCPU, 30 GB memory. In our testing database was nearly always the bottleneck. (This could come back down again with improvements to how we use it.)
- Removes specific machine type recommendations.
- This only applies to VM-based deployments and many of our customers use Kubernetes.
- The major clouds upgrade their machine teirs, so our recommendations go out of date
- In its place we just give CPU and memory requirements
- Removes API requests per second
- It's not a metric that many operators will know until they are already operating
- Our API requests vary wildly in cost depending on what they are
- Replaces them with Users | Running Workspaces | Concurrent Builds - which represents our scale testing scenarios, and are easier for operators to reason about.
- Removes specific advice about workspace sizing, instead gives the minimum specs for the agent
- Gives Kubernetes resource request/limits in notes
- Adds advice about not needing high performance disks for Coderd, but that provisioners will benefit.
Spike Curtis