"exemplar": true,
          "expr": "minio_cluster_replication_proxied_head_requests_total{job=\"$scrape_jobs\"}",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{instance}}",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeRegions": [],
      "title": "Total Proxied Head Requests",
      "tooltip": {
        "shared": true,

          "exemplar": true,
          "expr": "minio_cluster_replication_proxied_head_requests_total{job=\"$scrape_jobs\"}",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{instance}}",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeRegions": [],
      "title": "Total Proxied Head Requests",
      "tooltip": {
        "shared": true,

	testServer.Server.TLS = config
	testServer.Server.StartTLS()
	return testServer
}

// Starts the test server and returns the TestServer instance.
func StartTestServer(t TestErrHandler, instanceType string) TestServer {
	// create an instance of TestServer.
	testServer := UnstartedTestServer(t, instanceType)
	testServer.Server.Start()
	return testServer
}

```

Note that, you can add as many MySQL server endpoint configurations as needed by providing an identifier (like "myinstance" in the example above) for each MySQL instance desired.

Restart the MinIO server to put the changes into effect. The server will print a line like `SQS ARNs: arn:minio:sqs::myinstance:mysql` at start-up, if there are no errors.

### Step 3: Enable MySQL bucket notification using MinIO client

 *
 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java

build:rbe_linux_cpu --python_path="/usr/bin/python3"
# These you may need to change for your own GCP project.
common:rbe_linux_cpu --remote_instance_name=projects/tensorflow-testing/instances/default_instance

# TODO(kanglan): Remove it after toolchain update is complete.
build:rbe_linux_cpu_old --config=rbe_linux

               * TODO(cpovirk): Maybe it would be cleaner to define a CancellationSupplier interface
               * with two implementations, one that contains causeless Cancellation instances and
               * the other of which creates new Cancellation instances each time it's called? Yet
               * another alternative is to fill in a non-null value for each of the fields no matter

        // if already there we remove it and add again
        int index = attachedArtifacts.indexOf(artifact);
        if (index >= 0) {
            LOGGER.warn("artifact '{}' already attached, replacing previous instance", artifact);
            attachedArtifacts.set(index, artifact);
        } else {
            attachedArtifacts.add(artifact);
        }
    }

    /**

          },
          "exemplar": true,
          "expr": "sum by (instance) (minio_s3_traffic_received_bytes{job=~\"$scrape_jobs\"})",
          "format": "table",
          "hide": false,
          "instant": false,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "{{instance}}",
          "metric": "process_start_time_seconds",
          "refId": "A",

  }

  public enum SomeEnum {
    SOME_INSTANCE
  }

  public void testEnumMap() {
    EnumMap<SomeEnum, Integer> map = Maps.newEnumMap(SomeEnum.class);
    assertEquals(Collections.emptyMap(), map);
    map.put(SomeEnum.SOME_INSTANCE, 0);
    assertEquals(Collections.singletonMap(SomeEnum.SOME_INSTANCE, 0), map);
  }

  public void testEnumMapNullClass() {
    try {