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- The major clouds upgrade their machine teirs, so our recommendations go out of date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.
Removes references to adding database replicas from the scaling docs, as Coder only allows a single connection URL. These passages where added in error.
## Add Dynamic Parameters test procedure to 10k users validated architecture
This PR adds a new test procedure for Dynamic Parameters to the 10k users validated architecture documentation. No changes to the recommended hardware specs as this test case succeeded with no issues.
Adds a new document for our ongoing efforts achieving 10k user scale. The content is caveated as work in progress, but represents what we have tested so far.
closes: https://github.com/coder/internal/issues/1025
Enhances the Performance efficiency section in the validated
architectures documentation with specific instance type recommendations
for AWS, Azure, and GCP.
**Changes:**
- Added recommended instance types for small, medium, and large
deployments across all three major cloud providers
- Included guidance on avoiding burstable instances (t-family, B-series)
for production workloads
- Added note about CPU baseline limitations for burstable instances
This addresses customer questions about appropriate database instance
sizing.
---------
Signed-off-by: Danny Kopping <dannykopping@gmail.com>
Co-authored-by: blink-so[bot] <211532188+blink-so[bot]@users.noreply.github.com>
Co-authored-by: dannykopping <373762+dannykopping@users.noreply.github.com>
Co-authored-by: Danny Kopping <dannykopping@gmail.com>
Spike Curtis