* There can be **multiple processes** of the **same program** running at the same time.

If you check out the "task manager" or "system monitor" (or similar tools) in your operating system, you will be able to see many of those processes running.

* Restarts
* **Replication (the number of processes running)**
* Memory
* Previous steps before starting

Up to this point, with all the tutorials in the docs, you have probably been running a **server program**, for example, using the `fastapi` command, that runs Uvicorn, running a **single process**.

This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).

Containers also have their own **isolated** running processes (commonly just one process), file system, and network, simplifying deployment, security, development, etc.

## What is a Container Image

                throw new JobProcessingException(
                        runningJobCount + " crawler processes are running. Max processes are " + maxCrawlerProcesses + ".");
            }
        }

        final StringBuilder resultBuf = new StringBuilder(100);
        final boolean runAll = webConfigIds == null && fileConfigIds == null && dataConfigIds == null;

  }

  override fun handle(stream: Stream) {
    val task = serviceStreamTask(stream)
    results.add(task)
    task.run()
  }

  /** Returns a task that processes both request and response from [stream]. */
  private fun serviceStreamTask(stream: Stream): FutureTask<Void> {
    return FutureTask<Void> {
      stream.requestBody.use {
        stream.responseBody.use {

fi

OBJ_NAME=$(./mc ls myminio1/test-bucket --json | jq '.key' | sed 's/"//g')
if [[ ${OBJ_NAME} != "hosts" ]]; then
	echo "BUG: Expected object: hosts, Found: ${BKT_NAME}"
	exit 1
fi

# Finally kill running processes
pkill minio

 * limitations under the License.
 */
package okhttp3.internal.http2

import java.io.IOException
import okhttp3.Protocol
import okio.BufferedSource

/**
 * [HTTP/2][Protocol.HTTP_2] only. Processes server-initiated HTTP requests on the client.
 * Implementations must quickly dispatch callbacks to avoid creating a bottleneck.
 *
 * While [onReset] may occur at any time, the following callbacks are expected in order,

	}
}

// incrementBytes add bytes reported for a bucket.
func (m *bucketMeasurement) incrementBytes(bytes uint64) {
	atomic.AddUint64(&m.bytesSinceLastWindow, bytes)
}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *bucketMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {

import java.util.concurrent.BlockingQueue
import java.util.concurrent.LinkedBlockingQueue
import java.util.logging.Logger
import okhttp3.ExperimentalOkHttpApi

/**
 * Default dispatcher that processes a script of responses. Populate the script by calling [enqueueResponse].
 */
@ExperimentalOkHttpApi
open class QueueDispatcher : Dispatcher() {
  protected val responseQueue: BlockingQueue<MockResponse> = LinkedBlockingQueue()

### TLS with SNI Extension

**Only one process** in the server can be listening on a specific **port** in a specific **IP address**. There could be other processes listening on other ports in the same IP address, but only one for each combination of IP address and port.

TLS (HTTPS) uses the specific port `443` by default. So that's the port we would need.