},
          "exemplar": true,
          "expr": "sum by (server) (rate(minio_s3_traffic_received_bytes{job=~\"$scrape_jobs\"}[$__rate_interval]))",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Data Received [{{server}}]",
          "refId": "A"
        }
      ],
      "title": "S3 API Ingress Rate ",
      "type": "timeseries"
    },
    {
      "datasource": {

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Transfer Rate (bytes/s)",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

	},
	ErrMalformedDate: {
		Code:           "MalformedDate",
		Description:    "Invalid date format header, expected to be in ISO8601, RFC1123 or RFC1123Z time format.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrMalformedPresignedDate: {
		Code:           "AuthorizationQueryParametersError",
		Description:    "X-Amz-Date must be in the ISO8601 Long Format \"yyyyMMdd'T'HHmmss'Z'\"",
		HTTPStatusCode: http.StatusBadRequest,

#                                                                           Rate Limiting
#                                                                           ==============
# Whether rate limiting is enabled.
rate.limit.enabled=false
# Maximum number of requests allowed per window.
rate.limit.requests.per.window=100
# Window size in milliseconds.
rate.limit.window.ms=60000
# Duration in milliseconds to block IP when limit exceeded.

   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */

  // Constants

  /**

   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */

  // Constants

  /**

```

MinIO server also supports [NATS Streaming mode](http://nats.io/documentation/streaming/nats-streaming-intro/) that offers additional functionality like `At-least-once-delivery`, and `Publisher rate limiting`. To configure MinIO server to send notifications to NATS Streaming server, update the MinIO server configuration file as follows:

* vSphere Volume Plugin Implementation ([#24947](https://github.com/kubernetes/kubernetes/pull/24947), [@abithap](https://github.com/abithap))
* ResourceQuota controller uses rate limiter to prevent hot-loops in error situations ([#25748](https://github.com/kubernetes/kubernetes/pull/25748), [@derekwaynecarr](https://github.com/derekwaynecarr))

import java.net.PasswordAuthentication;
import java.net.Proxy;
import java.net.Proxy.Type;
import java.net.SocketAddress;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Date;
import java.util.Enumeration;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Set;

                    date = date.clone().hour(hour).minute(minute).second(second);
                }
                this.endDate = null;
                this.setStartDate(date.clone());
            } else if (!this.endDate && date.isBefore(this.startDate)) {
                //special case: clicking the same date for start/end,
                //but the time of the end date is before the start date