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* Add apiserver metric for number of requests dropped because of inflight limit. ([#58340](https://github.com/kubernetes/kubernetes/pull/58340), [@gmarek](https://github.com/gmarek))
* Add apiserver metric for current inflight-request usage. ([#58342](https://github.com/kubernetes/kubernetes/pull/58342), [@gmarek](https://github.com/gmarek))
* Update Calico version to v2.6.6 ([#58482](https://github.com/kubernetes/kubernetes/pull/58482), [@tmjd](https://github.com/tmjd))

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server fronted by an L7 load balancer that already mitigates these http/2 attacks may choose not to enable the kube-apiserver mitigation to avoid disrupting load balancer → kube-apiserver connections if http/2 requests from multiple clients share the same backend connection. An API server on a private network may choose not to enable the kube-apiserver mitigation to prevent performance regressions for unauthenticated clients. Authenticated requests rely on the fix in golang.org/x/net v0.17.0 alone....

collection algorithm. As a result, we observed an increase in memory usage for kube-apiserver in larger an heavily loaded clusters up to ~25% (with the benefit of API call latencies drop by up to 10x on 99th percentiles). If the memory increase is not acceptable for you you can mitigate by setting GOGC env variable (for our tests using GOGC=63 brings memory usage back to original value, although the exact value may depend on usage patterns on your cluster). ([#108870](https://github.com/kubernetes...

- Graduated the following kubelet resource metrics to **general availability**:
  - `container_cpu_usage_seconds_total`
  - `container_memory_working_set_bytes`
  - `container_start_time_seconds`
  - `node_cpu_usage_seconds_total`
  - `node_memory_working_set_bytes`
  - `pod_cpu_usage_seconds_total`
  - `pod_memory_working_set_bytes`
  - `resource_scrape_error`