| `minio_node_cpu_avg_idle_max`        | CPU idle time (max).                       |
| `minio_node_cpu_avg_iowait`          | CPU ioWait time.                           |
| `minio_node_cpu_avg_iowait_avg`      | CPU ioWait time (avg).                     |
| `minio_node_cpu_avg_iowait_max`      | CPU ioWait time (max).                     |
| `minio_node_cpu_avg_nice`            | CPU nice time.                             |

|-------------------------------|---------|------------------------------------|----------|
| `minio_system_cpu_avg_idle`   | `gauge` | Average CPU idle time              | `server` |
| `minio_system_cpu_avg_iowait` | `gauge` | Average CPU IOWait time            | `server` |
| `minio_system_cpu_load`       | `gauge` | CPU load average 1min              | `server` |
| `minio_system_cpu_load_perc`  | `gauge` | CPU load average 1min (percentage) | `server` |

```Python
burgers = await get_burgers(2)
```

The key here is the `await`. It tells Python that it has to wait ⏸ for `get_burgers(2)` to finish doing its thing 🕙 before storing the results in `burgers`. With that, Python will know that it can go and do something else 🔀 ⏯ in the meanwhile (like receiving another request).

# 동시성과 async / await

*경로 작동 함수*에서의 `async def` 문법에 대한 세부사항과 비동기 코드, 동시성 및 병렬성에 대한 배경

## 바쁘신 경우

<strong>요약</strong>

다음과 같이 `await`를 사용해 호출하는 제3의 라이브러리를 사용하는 경우:

```Python
results = await some_library()
```

다음처럼 *경로 작동 함수*를 `async def`를 사용해 선언하십시오:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

!!! note "참고"

            try {
              proceed.await(5, TimeUnit.SECONDS)
            } catch (e: InterruptedException) {
              throw RuntimeException(e)
            }
            chain.proceed(chain.request())
          },
        )
        .build()
    val t1 = makeSynchronousCall(client.newCall(newRequest("http://a/3")))
    ready.await(5, TimeUnit.SECONDS)
    executor.finishJob("http://a/2")

Then we can create an `AsyncClient` with the app, and send async requests to it, using `await`.

```Python hl_lines="9-10"
{!../../../docs_src/async_tests/test_main.py!}
```

This is the equivalent to:

```Python
response = client.get('/')
```

...that we used to make our requests with the `TestClient`.

!!! tip
    Note that we're using async/await with the new `AsyncClient` - the request is asynchronous.

!!! warning

      throw RuntimeException("boom!")
    }

    queue.schedule("task", TimeUnit.MILLISECONDS.toNanos(200)) {
      log.put("normal task running")
      return@schedule -1L
    }

    queue.idleLatch().await(500, TimeUnit.MILLISECONDS)

    assertThat(log.take()).isEqualTo("failing task running")
    assertThat(log.take()).isEqualTo("uncaught exception: java.lang.RuntimeException: boom!")

        override fun onResponse(
          call: Call,
          response: Response,
        ) {
          response.close()
          latch.countDown()
        }
      },
    )
    latch.await()
    assertThat(call.isCanceled()).isTrue()
    assertThat(exceptionRef.get()).isNotNull()
  }

  @Test
  fun timeoutProcessing() {
    server.enqueue(
      MockResponse.Builder()

        .build()
    }
    val request =
      Request.Builder()
        .url(server.url("/"))
        .build()
    client.newCall(request).enqueue(callback)
    callback.await(request.url)
      .assertCode(200)
      .assertHeader("OkHttp-Intercepted", "yep")
  }

  @Test
  fun applicationInterceptorsCanMakeMultipleRequestsToServer() {

```

!!! note "📡 ℹ"
    👆 💪 ⚙️ `from starlette.websockets import WebSocket`.

    **FastAPI** 🚚 🎏 `WebSocket` 🔗 🏪 👆, 👩‍💻. ✋️ ⚫️ 👟 🔗 ⚪️➡️ 💃.

## ⌛ 📧 & 📨 📧

👆 *️⃣ 🛣 👆 💪 `await` 📧 & 📨 📧.

```Python hl_lines="48-52"
{!../../../docs_src/websockets/tutorial001.py!}
```

👆 💪 📨 & 📨 💱, ✍, & 🎻 💽.

## 🔄 ⚫️

🚥 👆 📁 📛 `main.py`, 🏃 👆 🈸 ⏮️: