Skip to content
New issue

Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? # to your account

feat: Kubernetes metrics-server integration and usage #1021

Open
Tracked by #1023
justinthelaw opened this issue Sep 10, 2024 · 0 comments
Open
Tracked by #1023

feat: Kubernetes metrics-server integration and usage #1021

justinthelaw opened this issue Sep 10, 2024 · 0 comments
Labels
enhancement New feature or request

Comments

@justinthelaw
Copy link
Contributor

justinthelaw commented Sep 10, 2024

User Story

As a delivery engineer
I want UDS overrides to scale and schedule LeapfrogAI based on resource utilization and availability
So that scaling and scheduling can be automatically handled in a cluster-native, and data-driven way

Acceptance Criteria

All components listed in EPIC: Observability and Metrics

Describe alternatives you've considered

N/A

Additional context

See K8s auto-scaling and metrics server documentation for more details.

Examples:

  • CPU usage
  • Memory usage
  • Pod resource consumption
  • Node health
@justinthelaw justinthelaw added the enhancement New feature or request label Sep 10, 2024
@justinthelaw justinthelaw changed the title feat: k8s metrics-server integration and usage feat: Kubernetes metrics-server integration and usage Sep 10, 2024
# for free to join this conversation on GitHub. Already have an account? # to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

1 participant