processSyscallReadTotalMD         = NewCounterMD(processSyscallReadTotal, "Total read SysCalls to the kernel. /proc/[pid]/io syscr")
	processSyscallWriteTotalMD        = NewCounterMD(processSyscallWriteTotal, "Total write SysCalls to the kernel. /proc/[pid]/io syscw")
	processResidentMemoryBytesMD      = NewGaugeMD(processResidentMemoryBytes, "Resident memory size in bytes")

 * representation will be hard to change. Instead, use <a
 * href="http://errorprone.info/bugpattern/RestrictedApi">RestrictedApiChecker</a>, which enforces
 * fine-grained visibility policies.
 *
 * @author Johannes Henkel
 */
@GwtCompatible
public @interface VisibleForTesting {

// Tests for port availability logic written for server startup sequence.
func TestCheckPortAvailability(t *testing.T) {
	if runtime.GOOS != "linux" {
		t.Skip()
	}

	l, err := net.Listen("tcp", "localhost:0") // ask kernel for a free port.
	if err != nil {
		t.Fatal(err)
	}
	defer l.Close()

	port := l.Addr().(*net.TCPAddr).Port

	testCases := []struct {
		host        string
		port        int
		expectedErr error
	}{

 * representation will be hard to change. Instead, use <a
 * href="http://errorprone.info/bugpattern/RestrictedApi">RestrictedApiChecker</a>, which enforces
 * fine-grained visibility policies.
 *
 * @author Johannes Henkel
 */
@GwtCompatible
public @interface VisibleForTesting {

bias problem. And because it makes pretty flame graphs!

Let user processes read performance stuff:
```
sudo bash
echo 0 > /proc/sys/kernel/kptr_restrict
echo 1 > /proc/sys/kernel/perf_event_paranoid
exit
```

Grab the async profiler from https://github.com/jvm-profiling-tools/async-profiler
and run `prof async` like so:
```

# MinIO Server Limits Per Tenant

For optimal production setup MinIO recommends Linux kernel version 4.x and later.

## Erasure Code (Multiple Drives / Servers)

| Item                                                            | Specification |
|:----------------------------------------------------------------|:--------------|
| Maximum number of servers per cluster                           | no-limit      |

   *       then sequentially accessing it could result in other processes dying. This is solvable
   *       via madvise(2), but that obviously doesn't exist in java.
   *   <li>Ordinary copy. Kernel copies bytes into a kernel buffer, from a kernel buffer into a
   *       userspace buffer (byte[] or ByteBuffer), then copies them from that buffer into the
   *       destination channel.
   * </ol>
   *

  TF_DeleteStatus(s);
  return NULL;
}

// A compute function. This will never actually get called in this test, it's
// just nice to know that it compiles.
void compute(void* kernel, TF_OpKernelContext* ctx) {
  TF_Tensor* input;
  TF_Status* s = TF_NewStatus();
  TF_GetInput(ctx, 0, &input, s);
  TF_DeleteTensor(input);
  TF_DeleteStatus(s);
}

// Exercises tensorflow's C API.

Varsayılan olarak **auto-reload** kapalıdır. Ayrıca `0.0.0.0` IP adresini dinler; bu, kullanılabilir tüm IP adresleri anlamına gelir. Böylece makineyle iletişim kurabilen herkes tarafından genel erişime açık olur. Bu, normalde production'da çalıştırma şeklidir; örneğin bir container içinde.

issues with Docker 1.9.1 can be found below.
  * CPU hardcapping will be enabled by default for containers with CPU limit set,
if supported by the kernel. You should either adjust your CPU limit, or set CPU
request only, if you want to avoid hardcapping. If the kernel does not support
CPU Quota, NodeStatus will contain a warning indicating that CPU Limits cannot
be enforced.