* Add external link [Machine learning model serving in Python using FastAPI and Streamlit](https://davidefiocco.github.io/2020/06/27/streamlit-fastapi-ml-serving.html) to docs. PR [#1669](https://github.com/tiangolo/fastapi/pull/1669) by [@davidefiocco](https://github.com/davidefiocco).

- Kubeadm: add the deprecated flag --port=0 to kube-controller-manager and kube-scheduler manifests to disable insecure serving. Without this flag the components by default serve (e.g. /metrics) insecurely on the default node interface (controlled by --address). Users that wish to override this behavior and enable insecure serving can pass a custom --port=X via kubeadm's "extraArgs" mechanic for these components. ([#92720](https://github.com/kubernetes/kubernetes/pull/92720),...

"io" "sync" "sync/atomic" ) // memory is a scratch buffer that is accessed between samples by the entropy // source to expose it to memory access timings. // // We reuse it and share it between Seed calls to avoid the significant (~500µs) // cost of zeroing a new allocation every time. The entropy source accesses it // using atomics (and doesn't care about its contents). // // It should end up in the .noptrbss section, and become backed by physical pages // at first use. This ensures that programs that...