* than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to
     * ensure that completed write operations performed by other threads are noticed. For most
     * purposes, the "count" field, tracking the number of elements, serves as that volatile

	Bucket   string
	Key      string
	UploadID string `xml:"UploadId"`
}

// CompleteMultipartUploadResponse container for completed multipart upload response
type CompleteMultipartUploadResponse struct {
	XMLName xml.Name `xml:"http://s3.amazonaws.com/doc/2006-03-01/ CompleteMultipartUploadResult" json:"-"`

	Location string
	Bucket   string

Si leíste y comprendiste todo esto, ahora **sabes mucho más** sobre entornos virtuales que muchos desarrolladores por ahí. 🤓

Contêineres Linux rodam usando o mesmo kernel Linux do hospedeiro (máquina, máquina virtual, servidor na nuvem, etc). Isso simplesmente significa que eles são muito leves (comparados com máquinas virtuais emulando um sistema operacional completo).

Dessa forma, contêineres consomem **poucos recursos**, uma quantidade comparável com rodar os processos diretamente (uma máquina virtual consumiria muito mais).

	set := s.getHashedSet(object)
	return set.AbortMultipartUpload(ctx, bucket, object, uploadID, opts)
}

// CompleteMultipartUpload - completes a pending multipart transaction, on hashedSet based on object name.

func (p *xlStorageDiskIDCheck) monitorDiskWritable(ctx context.Context) {
	var (
		// We check every 15 seconds if the disk is writable and we can read back.
		checkEvery = 15 * time.Second

		// If the disk has completed an operation successfully within last 5 seconds, don't check it.
		skipIfSuccessBefore = 5 * time.Second
	)

	// if disk max timeout is smaller than checkEvery window
	// reduce checks by a second.

     * than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to
     * ensure that completed write operations performed by other threads are noticed. For most
     * purposes, the "count" field, tracking the number of elements, serves as that volatile

 *  Breaking: Replace our parameters-based JUnit 5 extension with a new annotation, `@StartStop`.
    Put this annotation on a `MockWebServer` property and the extension will start it before your
    test executes and stop it after it completes. No further configuration is required.

    ```kotlin
    @StartStop val server = MockWebServer()
    ```

 *  Breaking: Don't automatically start `MockWebServer` after calls to accessors like `port`. Now

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			sizeS.pendingSize += oi.Size
		case replication.Failed:
			tgtSizeS.failedSize += oi.Size
			tgtSizeS.failedCount++
			sizeS.failedSize += oi.Size
			sizeS.failedCount++
		case replication.Completed, replication.CompletedLegacy:
			tgtSizeS.replicatedSize += oi.Size
			tgtSizeS.replicatedCount++
			sizeS.replicatedSize += oi.Size
			sizeS.replicatedCount++
		}
		sizeS.replTargetStats[arn] = tgtSizeS