private final long retryDelayMs;

    /**
     * Create new RDMA error handler
     *
     * @param statistics statistics tracker
     * @param maxRetries maximum number of retries for recoverable errors
     * @param retryDelayMs delay between retries in milliseconds
     */
    public RdmaErrorHandler(RdmaStatistics statistics, int maxRetries, long retryDelayMs) {
        this.statistics = statistics;
        this.maxRetries = maxRetries;

 * both.
 *
 * Applications may configure OkHttp with an authenticator for origin servers, or proxy servers,
 * or both.
 *
 * ## Authentication Retries
 *
 * If your authentication may be flaky and requires retries you should apply some policy
 * to limit the retries by the class of errors and number of attempts.  To get the number of
 * attempts to the current point use this function.
 *
 * ```java

			// herd upon start up sequence.
			time.Sleep(25*time.Millisecond + time.Duration(rand.Int63n(int64(100*time.Millisecond))))
			retries++
			// after 20 retries start logging that servers are not reachable yet
			if retries >= 20 {
				logger.Info(fmt.Sprintf("Waiting for at least %d remote servers with valid configuration to be online", len(clnts)/2))
				if len(offlineEndpoints) > 0 {

 *
 * <p>The client supports a RequestListener interface to monitor the request lifecycle and handle
 * exceptions during retries.</p>
 *
 * <p>Key features:</p>
 * <ul>
 *   <li>Configurable maximum retry attempts</li>
 *   <li>Adjustable interval between retries</li>
 *   <li>Exception tracking and aggregation</li>
 *   <li>Request lifecycle monitoring through listener</li>
 * </ul>
 *

        final String fullPath = "\\" + loc.getServer() + "\\" + loc.getShare() + loc.getUNCPath();
        final int maxRetries = this.ctx.getConfig().getMaxRequestRetries();
        for (int retries = 1; retries <= maxRetries; retries++) {

            if (rpath != null) {
                rpath.setFullUNCPath(null, null, fullPath);
            }

            try {

			pr.CloseWithError(err)
			tmp.Close()
			entries.o = append(entries.o, e.o...)
			if o.Limit > 0 && entries.len() > o.Limit {
				entries.truncate(o.Limit)
				return entries, nil
			}
			if err == nil {
				// We stopped within the listing, we are done for now...
				return entries, nil
			}
			if err != nil && !errors.Is(err, io.EOF) {
				switch toObjectErr(err, minioMetaBucket, o.objectPath(partN)).(type) {

  # NOTE: All flags are optional
  # - filtering criteria only applies for all source objects match the criteria
  # - configurable notification endpoints
  # - configurable retries for the job (each retry skips successfully previously replaced objects)
  flags:
    filter:
      newerThan: "7d10h31s" # match objects newer than this value (e.g. 7d10h31s)

    MINIO_ROOT_PASSWORD: "minio123"
    MINIO_KMS_SECRET_KEY: "my-minio-key:OSMM+vkKUTCvQs9YL/CVMIMt43HFhkUpqJxTmGl6rYw="
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1

    MINIO_KMS_SECRET_KEY: "my-minio-key:OSMM+vkKUTCvQs9YL/CVMIMt43HFhkUpqJxTmGl6rYw="
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1

    MINIO_KMS_SECRET_KEY: "my-minio-key:OSMM+vkKUTCvQs9YL/CVMIMt43HFhkUpqJxTmGl6rYw="
    MINIO_DRIVE_MAX_TIMEOUT: "5s"
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1