Podrías tener turnos como en el ejemplo de las hamburguesas, primero la sala de estar, luego la cocina, pero como no estás esperando 🕙 nada, solo limpiando y limpiando, los turnos no afectarían nada.

Tomaría la misma cantidad de tiempo terminar con o sin turnos (concurrencia) y habrías hecho la misma cantidad de trabajo.

Você poderia ter turnos como no exemplo dos hambúrgueres, primeiro a sala de estar, então a cozinha, mas como você não está esperando por nada, apenas limpando e limpando, as chamadas não afetariam em nada.

Levaria o mesmo tempo para finalizar com ou sem turnos (concorrência) e você teria feito o mesmo tanto de trabalho.

ItemsService.createItemItemsPost({name: "Plumbus", price: 5})
```

...that's because the client generator uses the OpenAPI internal **operation ID** for each *path operation*.

OpenAPI requires that each operation ID is unique across all the *path operations*, so FastAPI uses the **function name**, the **path**, and the **HTTP method/operation** to generate that operation ID, because that way it can make sure that the operation IDs are unique.

            }

            executor.shutdown();
            assertTrue(executor.awaitTermination(30, TimeUnit.SECONDS), "All threads should complete within timeout");

            // Analyze timing consistency across threads
            if (!timings.isEmpty()) {
                double avgTime = timings.stream().mapToLong(Long::longValue).average().orElse(0.0);

*Evet, tüm hikaye bu*.

---

Beklemek yok 🕙. Hiçbir yerde.  Sadece evin birden fazla yerinde yapılacak fazlasıyla iş var.

You could have turns as in the burgers example, first the living room, then the kitchen, but as you are not waiting 🕙 for anything, just cleaning and cleaning, the turns wouldn't affect anything.

tapi-docker-and-postgres-91943e71be92 title: Fastapi, Docker(Docker compose) and Postgres - author: Devon Ray author_link: https://devonray.com link: https://devonray.com/blog/deploying-a-fastapi-project-using-aws-lambda-aurora-cdk title: Deployment using Docker, Lambda, Aurora, CDK & GH Actions - author: Shubhendra Kushwaha author_link: https://www.linkedin.com/in/theshubhendra/ link: https://theshubhendra.medium.com/mastering-soft-delete-advanced-sqlalchemy-techniques-4678f4738947 title: 'Mastering...

    // Statistics
    private final AtomicLong totalRequests = new AtomicLong(0);
    private final AtomicLong totalChannelsCreated = new AtomicLong(0);

    /**
     * Load balancing strategies for distributing operations across channels.
     */
    public enum LoadBalancingStrategy {
        /** Round-robin distribution */
        ROUND_ROBIN,
        /** Least connections */
        LEAST_CONNECTIONS,
        /** Random selection */

The important thing to keep in mind is that the `sub` key should have a unique identifier across the entire application, and it should be a string.

## Check it { #check-it }

Run the server and go to the docs: <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

	metadataShallowVersions := make([][]xlMetaV2ShallowVersion, len(rawFileInfos))
	var v2bufs [][]byte
	if !readData {
		v2bufs = make([][]byte, len(rawFileInfos))
	}

	// Read `xl.meta` in parallel across disks.
	for index := range rawFileInfos {
		rf := rawFileInfos[index]
		if rf.Buf == nil {
			continue
		}
		if !readData {
			// Save the buffer so we can reuse it.
			v2bufs[index] = rf.Buf
		}

You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc.

## Recap { #recap }

You have been reading here some of the main concepts that you would probably need to keep in mind when deciding how to deploy your application:

* Security - HTTPS