Und das verteilte Containersystem mit dem **Load Balancer** würde **die Requests abwechselnd** an jeden einzelnen Container mit Ihrer Anwendung verteilen. Jeder Request könnte also von einem der mehreren **replizierten Container** verarbeitet werden, in denen Ihre Anwendung ausgeführt wird.

name: Deploy Docs
on:
  workflow_run:
    workflows:
      - Build Docs
    types:
      - completed

permissions:
  deployments: write
  issues: write
  pull-requests: write
  statuses: write

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  deploy-docs:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}

        // spec says that we may repeat the request without modifications. Modern browsers also
        // repeat the request (even non-idempotent ones.)
        if (!client.retryOnConnectionFailure) {
          // The application layer has directed us not to retry the request.
          return null
        }

        val requestBody = userResponse.request.body
        if (requestBody != null && requestBody.isOneShot()) {

}
```

/// note | Hinweis

Beachten Sie, dass, obwohl `item` wie zuvor deklariert wurde, es nun unter einem Schlüssel `item` im Body erwartet wird.

///

**FastAPI** wird die automatische Konvertierung des Requests übernehmen, sodass der Parameter `item` seinen spezifischen Inhalt bekommt, genau so wie der Parameter `user`.

## Changes by Kind

### API Change

permissions:
  contents: read

jobs:
  close-issues:
    # Don't do this in forks
    if: github.repository == 'tensorflow/tensorflow'
    runs-on: ubuntu-latest
    permissions:
      issues: write
      pull-requests: write
    steps:
      - name: Awaiting response issues
        uses: actions/stale@5bef64f19d7facfb25b37b414482c7164d639639 # v9.1.0
        with:

import org.lastaflute.web.Execute;
import org.lastaflute.web.response.ActionResponse;
import org.lastaflute.web.response.StreamResponse;

/**
 * Action class for handling cached document content requests.
 * Provides functionality to retrieve and display cached versions of crawled documents.
 */
public class CacheAction extends FessSearchAction {

    /**
     * Creates a new instance of CacheAction.
     */

  override val socket: Socket
    get() = stream!!

  override fun createRequestBody(
    request: Request,
    contentLength: Long,
  ): Sink = stream!!.sink

  override fun writeRequestHeaders(request: Request) {
    if (stream != null) return

    val hasRequestBody = request.body != null
    val requestHeaders = http2HeadersList(request)
    stream = http2Connection.newStream(requestHeaders, hasRequestBody)

}

// Returns access credentials in the request Authorization header.
func getReqAccessCred(r *http.Request, region string) (cred auth.Credentials) {
	cred, _, _ = getReqAccessKeyV4(r, region, serviceS3)
	if cred.AccessKey == "" {
		cred, _, _ = getReqAccessKeyV2(r)
	}
	return cred
}

// Extract request params to be sent with event notification.
func extractReqParams(r *http.Request) map[string]string {
	if r == nil {

		APIStats: st.totalS3Canceled.Load(toLowerKeys),
	}
	return serverStats
}

// Update statistics from http request and response data
func (st *HTTPStats) updateStats(api string, w *xhttp.ResponseRecorder) {
	st.totalS3Requests.Inc(api)

	// Increment the prometheus http request response histogram with appropriate label
	httpRequestsDuration.With(prometheus.Labels{"api": api}).Observe(w.TTFB().Seconds())