Um contêiner está rodando enquanto o **processo principal** (comando ou programa) estiver rodando.

Um contêiner normalmente tem um **único processo**, mas também é possível iniciar sub-processos a partir do processo principal, e dessa forma você terá **vários processos** no mesmo contêiner.

Mas não é possível ter um contêiner rodando sem **pelo menos um processo rodando**. Se o processo principal parar, o contêiner também para.

!!! check "**FastAPI** recomenda isso para"
    O principal servidor web para rodar aplicações **FastAPI**.

    Você pode combinar ele com o Gunicorn, para ter um servidor multi-processos assíncrono.

    Verifique mais detalhes na seção [Deployment](deployment/index.md){.internal-link target=_blank}.

## Performance e velocidade

  }

  /**
   * Process the bytes of the given input stream using the given processor.
   *
   * @param input the input stream to process
   * @param processor the object to which to pass the bytes of the stream
   * @return the result of the byte processor
   * @throws IOException if an I/O error occurs
   * @since 14.0
   */
  @CanIgnoreReturnValue // some processors won't return a useful result

   *     processor} throws an {@code IOException}
   * @since 16.0
   */
  @CanIgnoreReturnValue // some processors won't return a useful result
  @ParametricNullness
  public <T extends @Nullable Object> T readLines(LineProcessor<T> processor) throws IOException {
    checkNotNull(processor);

    Closer closer = Closer.create();
    try {

                    <mxGeometry relative="1" as="geometry"/>
                </mxCell>

         * Only kill local Gradle processes (classpath in checkout directory).
         * Not clean up global Gradle processes (i.e. classpath in ~/.gradle/...).
         */
        KILL_LEAKED_PROCESSES_FROM_PREVIOUS_BUILDS,
        /**
         * Run at the end of each build. Kill potentially leaked processes in the current build.

  @ParametricNullness
  public <T extends @Nullable Object> T read(ByteProcessor<T> processor) throws IOException {
    checkNotNull(processor);

    Closer closer = Closer.create();
    try {
      InputStream in = closer.register(openStream());
      return ByteStreams.readBytes(in, processor);
    } catch (Throwable e) {
      throw closer.rethrow(e);
    } finally {

---

In this scenario of the parallel burgers, you are a computer / program 🤖 with two processors (you and your crush), both waiting 🕙 and dedicating their attention ⏯ to be "waiting on the counter" 🕙 for a long time.

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

process-ram.svg...

### Multiple Processes - An Example

In this example, there's a **Manager Process** that starts and controls two **Worker Processes**.

This Manager Process would probably be the one listening on the **port** in the IP. And it would transmit all the communication to the worker processes.