* Back porting critical vSphere bug fixes to release 1.3 ([#31993](https://github.com/kubernetes/kubernetes/pull/31993), [@dagnello](https://github.com/dagnello))
* Back port - Openstack provider allowing more than one service port for lbaas v2 ([#32001](https://github.com/kubernetes/kubernetes/pull/32001), [@dagnello](https://github.com/dagnello))

### Remotely Inspecting backend data

# Prevent double-compilation of some TF code, ref. b/183279666 (internal)
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code
# > on the host machine. If we don't have --distinct_host_configuration=false,
# > the core TensorFlow code will be built once for the host and once for the
# > target platform.
# See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation

from fastapi import FastAPI, Header
from pydantic import BaseModel

app = FastAPI()


class CommonHeaders(BaseModel):
    model_config = {"extra": "forbid"}

    host: str
    save_data: bool
    if_modified_since: str | None = None
    traceparent: str | None = None
    x_tag: list[str] = []


@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):

from fastapi import FastAPI, Header
from pydantic import BaseModel

app = FastAPI()


class CommonHeaders(BaseModel):
    class Config:
        extra = "forbid"

    host: str
    save_data: bool
    if_modified_since: str | None = None
    traceparent: str | None = None
    x_tag: list[str] = []


@app.get("/items/")
async def read_items(headers: CommonHeaders = Header()):

        - 'https://server3-pool2:9000/mnt/disk{1...4}/'
        - 'https://server4-pool2:9000/mnt/disk{1...4}/'

options:
  ftp: # settings for MinIO to act as an ftp server
        address: ':8021'
        passive-port-range: '30000-40000'
  sftp: # settings for MinIO to act as an sftp server
        address: ':8022'

   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without

    protected void setUp() throws Exception {
        super.setUp();

        final int port = 9000;
        logger.info("Creating {}", IMAGE_NAME);
        minioServer = new GenericContainer<>(IMAGE_NAME)//
                .withEnv("MINIO_ACCESS_KEY", ACCESS_KEY)//
                .withEnv("MINIO_SECRET_KEY", SECRET_KEY)//
                .withExposedPorts(port)//
                .withCommand("server /data")//

	if err != nil {
		log.Fatalln(err)
	}

	opts := madmin.HealOpts{
		Recursive: true,                  // recursively heal all objects at 'prefix'
		Remove:    true,                  // remove content that has lost quorum and not recoverable
		ScanMode:  madmin.HealNormalScan, // by default do not do 'deep' scanning
	}

	start, _, err := madmClnt.Heal(context.Background(), "healing-rewrite-bucket", "", opts, "", false, false)

// but returns an error if the source provides more data than allowed.
// This means the source *will* be overread unless EOF is returned prior.
// The underlying implementation is a *HardLimitedReader.
// This will ensure that at most n bytes are returned and EOF is reached.
func HardLimitReader(r io.Reader, n int64) io.Reader { return &HardLimitedReader{r, n} }

// A HardLimitedReader reads from R but limits the amount of