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

         * 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.

	match     func(*DB) bool
	handler   func(*DB)
	processor *processor
}

func (cs *callbacks) Create() *processor {
	return cs.processors["create"]
}

func (cs *callbacks) Query() *processor {
	return cs.processors["query"]
}

func (cs *callbacks) Update() *processor {
	return cs.processors["update"]
}

func (cs *callbacks) Delete() *processor {
	return cs.processors["delete"]
}

					"toolchains-jvm-shared",
					"docs-asciidoctor-extensions-base",
					"internal-instrumentation-processor",
					"security",
					"input-tracking",
					"base-ide-plugins"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"testing-jvm",
					"worker-processes",
					"files",
					"java-language-extensions",
					"build-cache-packaging",

---

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).

        declaration: FirDeclaration,
        processor: (FirCallableDeclaration) -> Unit
    ) = when (declaration) {
        is FirSimpleFunction -> processOverriddenFunctions(declaration.symbol) { symbol ->
            processor.invoke(symbol.fir)
            ProcessorAction.NEXT
        }
        is FirProperty -> processOverriddenProperties(declaration.symbol) { symbol ->
            processor.invoke(symbol.fir)
            ProcessorAction.NEXT

### 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.

The only new option here is `--workers` telling Uvicorn to start 4 worker processes.

You can also see that it shows the **PID** of each process, `27365` for the parent process (this is the **process manager**) and one for each worker process: `27368`, `27369`, `27370`, and `27367`.

## Deployment Concepts

        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.