persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics]...

persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics]...

persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics]...

      -v "$TFCI_GIT_DIR:$WORKING_DIR" \
      --env-file "$env_file" \
      "$TFCI_DOCKER_IMAGE" \
    bash

  if [[ "$is_windows" == true ]]; then
    # Allow requests from the container.
    # Additional setup is contained in ci/official/envs/rbe.
    CONTAINER_IP_ADDR=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' tf)

        val request = HttpRequest.newBuilder()
            .uri(URI(uri))
            .apply {
                if (githubToken.isPresent) {
                    header("Authorization", "token ${githubToken.get()}")
                }
            }
            .build()
        val response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString())

     * geo-distance queries for each configured geographic field.
     *
     * @param request the HTTP servlet request containing geographic parameters
     * @throws InvalidQueryException if geo point format is invalid or parsing fails
     */
    public GeoInfo(final HttpServletRequest request) {

        final FessConfig fessConfig = ComponentUtil.getFessConfig();

When deploying applications you will probably want to have some **replication of processes** to take advantage of **multiple cores** and to be able to handle more requests.

As you saw in the previous chapter about [Deployment Concepts](concepts.md){.internal-link target=_blank}, there are multiple strategies you can use.

        digest.sign(data, 0, data.length, cancelRequest, null);

        verify(cancelRequest).setSignSeq(10);
        // Sequence should increment by 1 for cancel requests
    }

    @Test
    @DisplayName("Test sign method with null response")
    void testSignWithNullResponse() {
        SMB1SigningDigest digest = new SMB1SigningDigest(testMacSigningKey, false, 10);
        byte[] data = new byte[100];

- `X-Amz-Server-Side-Encryption-Customer-Key`: Base64 encoded new key.
- `X-Amz-Copy-Source-Server-Side-Encryption-Customer-Key`: Base64 encoded current key.

Such a special COPY request is also known as S3 SSE-C key rotation.

### Server-Side Encryption with a KMS

Y el sistema de contenedores distribuido con el **load balancer** **distribuiría las requests** a cada uno de los contenedores con tu aplicación **en turnos**. Así, cada request podría ser manejada por uno de los múltiples **contenedores replicados** ejecutando tu aplicación.