ic("Ingress Controller")
        isc("Ingress Status Controller")
        ic-.-isc
    end
    mcsc("Multicluster Secret")
    scr("Credentials Controller")
    mcsc--"1 per cluster"-->scr
    mcsc--"1 per cluster"-->ksd
    crd--Depends-->ccs

    iwhc("Injection Webhook")
    vwhc("Validation Webhook")
    nsc("Namespace Controller")
    ksd--"External Istiod"-->nsc

         "type": "row"
      },
      {
         "datasource": {
            "type": "datasource",
            "uid": "-- Mixed --"
         },
         "description": "Connections opened and closed per instance",
         "fieldConfig": {
            "defaults": {
               "custom": {
                  "fillOpacity": 10,
                  "gradientMode": "hue",
                  "showPoints": "never"

streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers

  private final int bufferSize;

  /** Number of bytes processed per process() invocation. */
  private final int chunkSize;

  /**
   * Constructor for use by subclasses. This hasher instance will process chunks of the specified
   * size.
   *
   * @param chunkSize the number of bytes available per {@link #process(ByteBuffer)} invocation;
   *     must be at least 4
   */

remote_arn=$(./mc replicate ls sitea/bucket --json | jq -r .rule.Destination.Bucket)
sleep 1

./mc replicate resync start sitea/bucket/ --remote-bucket "${remote_arn}"
sleep 30s ## sleep for 30s idea is that we give 300ms per object.

./mc ls -r --versions sitea/bucket >/tmp/sitea.txt
./mc ls -r --versions siteb/bucket >/tmp/siteb.txt

out=$(diff -qpruN /tmp/sitea.txt /tmp/siteb.txt)
ret=$?
if [ $ret -ne 0 ]; then

  metrics_path: /minio/v2/metrics/bucket
  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

##### Node (optional)

Optionally you can also collect per node metrics. This needs to be done on a per server instance.
The scrape configurations should use all the servers under `targets` so that graphing systems like
grafana can visualize them for all the nodes

```yaml
scrape_configs:

 * under the License.
 */
package org.apache.maven.cli.logging;

/**
 * Interface for configuration operations on loggers, which are not available in slf4j, then require per-slf4f-binding
 * implementation.
 *
 * @since 3.1.0
 */
public interface Slf4jConfiguration {
    /**
     * Level
     */
    enum Level {
        DEBUG,
        INFO,
        ERROR
    }

- One or both of Veeam Backup and Replication with support for S3 compatible object store (e.g. 9.5.4) and Veeam Backup for Office365 (VBO)
- MinIO object storage set up per <https://min.io/docs/minio/linux/index.html>
- Veeam requires TLS connections to the object storage.  This can be configured per <https://min.io/docs/minio/linux/operations/network-encryption.html>
- The S3 bucket, Access Key and Secret Key have to be created before and outside of Veeam.

# MinIO Storage Class Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

MinIO server supports storage class in erasure coding mode. This allows configurable data and parity drives per object.

This page is intended as a summary of MinIO Erasure Coding. For a more complete explanation, see <https://min.io/docs/minio/linux/operations/concepts/erasure-coding.html>.

## Overview

			Description: "mTLS certificate key for webhook authentication",
			Optional:    true,
			Type:        "string",
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         BatchSize,
			Description: "Number of events per HTTP send to webhook target",
			Optional:    true,
			Type:        "number",
		},
		config.HelpKV{
			Key:         QueueSize,
			Description: "configure channel queue size for webhook targets",
			Optional:    true,