Comments (2)
rootfs
commented on May 29, 2024
1
It is a design choice to be more scalable. The native k8s Pod API is to access the API server, while the kubelet call through HTTP(s) is initiated and ended on each node. The former will stress the API server when there are many nodes, while the latter doesn't have this issue.
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marceloamaral
commented on May 29, 2024
Since Kepler is running on each node, it can directly access the kubelet instance without having to go through the API server. It is well known that the API server can become a bottleneck and avoiding unnecessary calls makes our system more scalable and high performing.
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Related Issues (20)
- Kepler binary built by latest code runs into panic on BM HOT 7
- Missing support for linux/arm64/v8 HOT 16
- No energy usage metrics for isolated CPU cores. HOT 7
- Documentation: Integration of Telegraf in Kepler
- steps in base image as yumdownloader is not stable HOT 3
- missing ebpf readings on realtime (RT) 5.14+ kernels HOT 6
- Enable process metrics in CI HOT 5
- CI enhancement, add logic when we need to test build logic HOT 5
- consume our SBOM files
- Support to recognize the VM that is not launched by Libvirt HOT 8
- idle power calculations for container metrics don't look right HOT 6
- GPU NVIDIA H100 PCIe not supported HOT 16
- unmatched exported metric name and value
- Improve GPU power attribution HOT 4
- No VM detected in the Kepler exporter HOT 7
- rpmautospec is missing HOT 2
- Kepler release-0.7.3 reporting higher kepler_container_joules_total values on BM HOT 1
- Support multiple GPUs HOT 2
- Investigate how to use dcgm embedded mode HOT 1
- Integrate curvefit function into local estimator
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