在上面的部署概念清單中，使用 workers 主要能幫助到**副本**這一塊，並對**重啟**也有一點幫助，但你仍需要處理其他部分：

* **安全 - HTTPS**
* **系統啟動時執行**
* ***重啟***
* 副本（正在執行的處理序數量）
* **記憶體**
* **啟動前的前置作業**

## 容器與 Docker { #containers-and-docker }

在下一章 [容器中的 FastAPI - Docker](docker.md) 我會說明一些策略，幫你處理其他的**部署概念**。

我會示範如何**從零建立你的映像檔**來執行單一 Uvicorn 處理序。這個流程相當簡單，而且在使用像 **Kubernetes** 這類分散式容器管理系統時，大多情況也會這麼做。

## 重點回顧 { #recap }

            bh.consume(ords);
        }
    }

    /**
     * Emulates an aggregation that collects from a single bucket "by accident"
     * and gets a "small" bucket ords. This can happen to a {@code terms} inside
     * of another {@code terms} when the "inner" terms only even has a single
     * bucket.
     */
    @Benchmark
    public void singleBucketIntoMultiSmall(Blackhole bh) {

        }

        @Test
        @DisplayName("Should decode output parameters correctly")
        void testDecodeOut() throws NdrException {
            // Given: Close handle message with mocked return value
            samr.SamrCloseHandle message = new samr.SamrCloseHandle(mockPolicyHandle);
            when(mockNdrBuffer.dec_ndr_long()).thenReturn(0);

            // When: Decoding output

* **Running on startup**
* ***Restarts***
* Replication (the number of processes running)
* **Memory**
* **Previous steps before starting**

## Containers and Docker { #containers-and-docker }

In the next chapter about [FastAPI in Containers - Docker](docker.md) I'll explain some strategies you could use to handle the other **deployment concepts**.

* **Запуск при старте**
* ***Перезапуски***
* Репликация (количество запущенных процессов)
* **Память**
* **Предварительные шаги перед запуском**

## Контейнеры и Docker { #containers-and-docker }

В следующей главе о [FastAPI в контейнерах — Docker](docker.md) я объясню стратегии, которые можно использовать для решения остальных **концепций деплоя**.

    groups:
      github-actions:
        patterns:
          - "*"

  - package-ecosystem: docker
    directory: /ci/devinfra/docker_windows
    schedule:
      interval: monthly
    ignore:
      - dependency-name: "*"
        update-types: ["version-update:semver-major", "version-update:semver-minor"]

  - package-ecosystem: docker
    directory: /tensorflow/tools/gcs_test
    schedule:
      interval: monthly

		zb0001--
		field, err = dc.ReadMapKeyPtr()
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		switch msgp.UnsafeString(field) {
		case "Bucket":
			z.Bucket, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "Bucket")
				return
			}
		case "BaseDir":
			z.BaseDir, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "BaseDir")
				return
			}

* ***Reinicios***
* Replicación (el número de procesos en ejecución)
* **Memoria**
* **Pasos previos antes de empezar**

## Contenedores y Docker { #containers-and-docker }

En el próximo capítulo sobre [FastAPI en Contenedores - Docker](docker.md) te explicaré algunas estrategias que podrías usar para manejar los otros **conceptos de despliegue**.

/// tip | İpucu

**Container**, Docker veya Kubernetes ile ilgili bazı maddeler şimdilik çok anlamlı gelmiyorsa dert etmeyin.

Container image'ları, Docker, Kubernetes vb. konuları ilerideki bir bölümde daha detaylı anlatacağım: [Container'larda FastAPI - Docker](docker.md).

///

## Başlatmadan Önceki Adımlar { #previous-steps-before-starting }

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;