setPolicy(pool, address, ConnectionPool.AddressPolicy(5))
    assertThat(pool.connectionCount()).isEqualTo(1)

    // Decrease the connection's max so that another connection is needed
    updateMaxConcurrentStreams(http2Connection, 4)
    assertThat(pool.connectionCount()).isEqualTo(2)

    // Increase the connection's max so that the new connection is no longer needed
    updateMaxConcurrentStreams(http2Connection, 5)

   *   <li>When you reduce the number of buckets, you can accept that the most recently added
   *       buckets will be removed first. More concretely, if you are dividing traffic among tasks,
   *       you can decrease the number of tasks from 15 and 10, killing off the final 5 tasks, and
   *       {@code consistentHash} will handle it. If, however, you are dividing traffic among

     *   failure to reach any individual IP address doesn't fail the overall request. This can
     *   increase availability of multi-homed services.
     *
     * * **Stale pooled connections.** The [ConnectionPool] reuses sockets
     *   to decrease request latency, but these connections will occasionally time out.
     *
     * * **Unreachable proxy servers.** A [ProxySelector] can be used to

## Compiler {#compiler}

The build time overhead to building with [Profile Guided Optimization](/doc/pgo) has been reduced significantly.
Previously, large builds could see 100%+ build time increase from enabling PGO.
In Go 1.23, overhead should be in the single digit percentages.

## Assembler {#assembler}

	rc, err := kube.DefaultRestConfig(kubeconfig, configContext, func(config *rest.Config) {
		// We are running a one-off command locally, so we don't need to worry too much about rate limiting
		// Bumping this up greatly decreases install time
		config.QPS = 50
		config.Burst = 100
	})
	if err != nil {
		return nil, err
	}
	return kube.NewCLIClient(kube.NewClientConfigForRestConfig(rc), kube.WithRevision(revision))
}

          },
          "exemplar": true,
          "expr": "sum by (bucket) (increase(minio_bucket_usage_object_total{job=\"$scrape_jobs\"}[$__rate_interval]))",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{bucket}}",
          "refId": "A"
        }
      ],
      "title": "Objects Increase Rate",
      "type": "timeseries"
    },
    {
      "datasource": {

var errFileVersionNotFound = StorageErr("file version not found")

// errTooManyOpenFiles - too many open files.
var errTooManyOpenFiles = StorageErr("too many open files, please increase 'ulimit -n'")

// errFileNameTooLong - given file name is too long than supported length.
var errFileNameTooLong = StorageErr("file name too long")

// errVolumeExists - cannot create same volume again.

// DeleteBucketOptions provides options for DeleteBucket calls.
type DeleteBucketOptions struct {
	NoLock     bool             // does not lock the delete bucket call if set to 'true'
	NoRecreate bool             // do not recreate bucket on delete failures
	Force      bool             // Force deletion
	SRDeleteOp SRBucketDeleteOp // only when site replication is enabled
}

// BucketOptions provides options for ListBuckets and GetBucketInfo call.

			}
		}
		quorum := len(perPoolErrs) / 2
		poolErrs = append(poolErrs, reduceWriteQuorumErrs(ctx, perPoolErrs, bucketOpIgnoredErrs, quorum))
	}

	opts.Remove = isAllBucketsNotFound(poolErrs)
	opts.Recreate = !opts.Remove

	g = errgroup.WithNErrs(len(sys.peerClients))
	healBucketResults := make([]madmin.HealResultItem, len(sys.peerClients))
	for idx, client := range sys.peerClients {
		idx := idx
		client := client

These dependencies are quite large, so depending on the quality of your internet connection 
you might face timeouts getting them. In this case, you can increase timeout by specifying the following 
command line parameters on the first run: 
    
    ./gradlew -Dhttp.socketTimeout=60000 -Dhttp.connectionTimeout=60000

## Important gradle tasks

- `clean` - clean build results