### Concurrencia y Hamburguesas

Esta idea de código **asíncrono** descrita anteriormente a veces también se llama **"concurrencia"**. Es diferente del **"paralelismo"**.

**Concurrencia** y **paralelismo** ambos se relacionan con "diferentes cosas sucediendo más o menos al mismo tiempo".

Pero los detalles entre *concurrencia* y *paralelismo* son bastante diferentes.

### Concorrência e hambúrgueres

Essa idéia de código **assíncrono** descrita acima é às vezes chamado de **"concorrência"**. Isso é diferente de **"paralelismo"**.

**Concorrência** e **paralelismo** ambos são relacionados a "diferentes coisas acontecendo mais ou menos ao mesmo tempo".

Mas os detalhes entre *concorrência* e *paralelismo* são bem diferentes.

### Concurrency and Burgers { #concurrency-and-burgers }

This idea of **asynchronous** code described above is also sometimes called **"concurrency"**. It is different from **"parallelism"**.

**Concurrency** and **parallelism** both relate to "different things happening more or less at the same time".

But the details between *concurrency* and *parallelism* are quite different.

### Concurrence et Burgers

L'idée de code **asynchrone** décrite ci-dessus est parfois aussi appelée **"concurrence"**. Ce qui est différent du **"parallélisme"**.

La **concurrence** et le **parallélisme** sont tous deux liés à l'idée de "différentes choses arrivant plus ou moins au même moment".

Mais les détails entre la **concurrence** et le **parallélisme** diffèrent sur de nombreux points.

			Region:    region,
		})
		if err != nil {
			return res, err
		}
	}

	var mu sync.Mutex
	var uploadTimes madmin.TimeDurations
	wg.Add(opts.concurrency)
	for i := 0; i < opts.concurrency; i++ {
		go func(i int) {
			defer wg.Done()
			for {
				t := time.Now()
				reader := newRandomReader(opts.objectSize)

 * represents the task. This maximizes concurrency by having each unique key mapped to a unique
 * lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for
 * all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing
 * either of these extremes, {@code Striped} allows the user to trade between required concurrency

            // Verify it works by testing a known mapping
            assertEquals("application/pdf", map.getMimeType("pdf"));
        }
    }

    @Nested
    @DisplayName("Performance and concurrency")
    class PerformanceTests {

        @Test
        @DisplayName("Should handle multiple lookups efficiently")
        void testMultipleLookups() throws IOException {

 * Manages a pool of byte buffers to reduce garbage collection overhead.
 *
 * Performance optimizations:
 * - Uses ConcurrentLinkedQueue for O(1) operations
 * - Lock-free operations for better concurrency
 * - Proper buffer validation and limits
 */
public class BufferCache {

    /**
     * Private constructor to prevent instantiation of this utility class.
     */
    private BufferCache() {

        if (offset + SIGNATURE_OFFSET + SIGNATURE_LENGTH > data.length) {
            throw new IllegalArgumentException("Signature field exceeds data buffer size");
        }

        // Use fine-grained locking for better concurrency
        this.signingLock.lock();
        try {
            if (this.closed) {
                throw new IllegalStateException("SigningDigest is closed");
            }

            // zero out signature field

/// tip

By adding the `standard`, Uvicorn will install and use some recommended extra dependencies.

That including `uvloop`, the high-performance drop-in replacement for `asyncio`, that provides the big concurrency performance boost.

When you install FastAPI with something like `pip install "fastapi[standard]"` you already get `uvicorn[standard]` as well.

///

## Run the Server Program { #run-the-server-program }