## Resumen { #recap }

Puedes usar múltiples worker processes con la opción CLI `--workers` con los comandos `fastapi` o `uvicorn` para aprovechar los **CPUs de múltiples núcleos**, para ejecutar **múltiples procesos en paralelo**.

     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Started server process <b>[</b><font color="#34E2E2"><b>27370</b></font><b>]</b>
     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Started server process <b>[</b><font color="#34E2E2"><b>27367</b></font><b>]</b>

  
  project3["root project"]
  build2 --> project3
  
  project4["project"]
  build2 --> project4

```

### Build process state

The "build process state" holds the global state of the build process and manages all the other state.

The build process state also includes state that is tied to a particular Gradle user home directory.

<img src="/img/deployment/https/https05.drawio.svg">

### HTTP Response { #http-response }

The application would process the request and send a **plain (unencrypted) HTTP response** to the TLS Termination Proxy.

     * @param object the model object to process
     * @return the processed object (may be the same instance, a pooled instance, or a modified instance)
     * @throws IllegalArgumentException if the object cannot be processed
     */
    <T> T process(T object);

    /**
     * Process a model object using the first available processor implementation.
     *
     * <p>This method discovers processor implementations via ServiceLoader and

        String stderr
        int returnCode
    }

    static ExecResult exec(String command) {
        Process process = command.execute()
        def stdoutFuture = readStreamAsync(process.inputStream)
        def stderrFuture = readStreamAsync(process.errorStream)

        int returnCode = process.waitFor()
        String stdout = stdoutFuture.get()
        String stderr = stderrFuture.get()

## Recap { #recap }

You can use multiple worker processes with the `--workers` CLI option with the `fastapi` or `uvicorn` commands to take advantage of **multi-core CPUs**, to run **multiple processes in parallel**.

     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Started server process <b>[</b><font color="#34E2E2"><b>27370</b></font><b>]</b>
     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Started server process <b>[</b><font color="#34E2E2"><b>27367</b></font><b>]</b>

     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Started server process <b>[</b><font color="#34E2E2"><b>27370</b></font><b>]</b>
     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Started server process <b>[</b><font color="#34E2E2"><b>27367</b></font><b>]</b>

        gradlew --> daemon
        tapi --> daemon
        
        worker["Worker process"]
        daemon --> worker

        worker2["Worker process"]
        daemon --> worker2

        worker3["Worker process"]
        daemon --> worker3
    
```

These are all Java processes. Each process has a corresponding "runtime".
All source code in Gradle is written to target one or more of these runtimes.