connections.

 *  Fix: Immediately update the connection's flow control window instead of waiting for the
    receiving stream to process it.

    This change may increase OkHttp's memory use for applications that make many concurrent HTTP
    calls and that can receive data faster than they can process it. Previously, OkHttp limited

* Segurança - HTTPS
* Executando na inicialização
* Reinicializações
* Replicação (o número de processos em execução)
* Memória
* Passos anteriores antes de iniciar

## Memória { #memory }

Se você executar **um único processo por contêiner**, terá uma quantidade mais ou menos bem definida, estável e limitada de memória consumida por cada um desses contêineres (mais de um se eles forem replicados).

    }
    executor.shutdown();
  }

  // In a previous implementation this would cause a stack overflow after ~2000 futures chained
  // together.  Now it should only be limited by available memory (and time)
  public void testSetFuture_stackOverflow() {
    SettableFuture<String> orig = SettableFuture.create();
    SettableFuture<String> prev = orig;
    for (int i = 0; i < 100000; i++) {

		Hidden: true,
		EnvVar: "MINIO_CROSSDOMAIN_XML",
	},
	cli.StringFlag{
		Name:   "memlimit",
		Usage:  "set global memory limit per server via GOMEMLIMIT",
		Hidden: true,
		EnvVar: "MINIO_MEMLIMIT",
	},
	cli.IntFlag{
		Name:   "send-buf-size",
		Value:  4 * humanize.MiByte,
		EnvVar: "MINIO_SEND_BUF_SIZE",
		Hidden: true,

* Fix a scalability issue where high rates of event writes degraded etcd performance. ([#64539](https://github.com/kubernetes/kubernetes/pull/64539), [@ccding](https://github.com/ccding))
* fixes a memory leak in the kube-controller-manager observed when large numbers of pods with tolerations are created/deleted ([#65339](https://github.com/kubernetes/kubernetes/pull/65339), [@liggitt](https://github.com/liggitt))

That "wait for something else" normally refers to <abbr title="Input and Output">I/O</abbr> operations that are relatively "slow" (compared to the speed of the processor and the RAM memory), like waiting for:

* the data from the client to be sent through the network
* the data sent by your program to be received by the client through the network

		return rd
	}
	rd.Replicate = newReset && oi.ModTime.Before(resetBeforeDate)
	return rd
}

const resyncTimeInterval = time.Minute * 1

// PersistToDisk persists in-memory resync metadata stats to disk at periodic intervals
func (s *replicationResyncer) PersistToDisk(ctx context.Context, objectAPI ObjectLayer) {
	resyncTimer := time.NewTimer(resyncTimeInterval)
	defer resyncTimer.Stop()

	// Avoid allocating more than half of the available memory
	if maxN := availableMemory() / (blockSizeV2 * 2); n > maxN {
		n = maxN
	}

	if globalIsCICD || strconv.IntSize == 32 {
		n = 256 // 256MiB for CI/CD environments is sufficient or on 32bit platforms.
	}

	// Initialize byte pool once for all sets, bpool size is set to
	// setCount * setDriveCount with each memory upto blockSizeV2.

* Sicherheit – HTTPS
* Beim Hochfahren ausführen
* Neustarts
* Replikation (die Anzahl der laufenden Prozesse)
* Arbeitsspeicher
* Schritte vor dem Start

## Arbeitsspeicher { #memory }

	}
	return paths
}

// string concat alternative to s1 + s2 with low overhead.
func concat(ss ...string) string {
	length := len(ss)
	if length == 0 {
		return ""
	}
	// create & allocate the memory in advance.
	n := 0
	for i := range length {
		n += len(ss[i])
	}
	b := make([]byte, 0, n)
	for i := range length {
		b = append(b, ss[i]...)
	}
	return unsafe.String(unsafe.SliceData(b), n)
}