version: '3.7'

# Settings and configurations that are common for all containers
x-minio-common: &minio-common
  image: quay.io/minio/minio:${JOB_NAME}
  command: server --console-address ":9001" http://minio{1...4}/rdata{1...2}
  expose:
    - "9000"
    - "9001"
  environment:
    MINIO_CI_CD: "on"
    MINIO_ROOT_USER: "minio"
    MINIO_ROOT_PASSWORD: "minio123"
    MINIO_KMS_SECRET_KEY: "my-minio-key:OSMM+vkKUTCvQs9YL/CVMIMt43HFhkUpqJxTmGl6rYw="

```Python
{!../../docs_src/first_steps/tutorial001.py!}
```

Kopieren Sie dies in eine Datei `main.py`.

Starten Sie den Live-Server:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]

        with:
          github-token: ${{secrets.GITHUB_TOKEN}}
          script: |
            const script = require('./.github/workflows/create_issue.js')

inistration/identity-access-management/minio-user-management.html#service-accounts # - accessKey: console-svcacct # secretKey: console123 # user: console ## Or you can refer to specific secret # - accessKey: externalSecret # existingSecret: my-secret # existingSecretKey: password # user: console ## You also can pass custom policy # - accessKey: console-svcacct # secretKey: console123 # user: console # policy: # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:AbortMultipartUpload"...

inistration/identity-access-management/minio-user-management.html#service-accounts # - accessKey: console-svcacct # secretKey: console123 # user: console ## Or you can refer to specific secret # - accessKey: externalSecret # existingSecret: my-secret # existingSecretKey: password # user: console ## You also can pass custom policy # - accessKey: console-svcacct # secretKey: console123 # user: console # policy: # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:AbortMultipartUpload"...

inistration/identity-access-management/minio-user-management.html#service-accounts # - accessKey: console-svcacct # secretKey: console123 # user: console ## Or you can refer to specific secret # - accessKey: externalSecret # existingSecret: my-secret # existingSecretKey: password # user: console ## You also can pass custom policy # - accessKey: console-svcacct # secretKey: console123 # user: console # policy: # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:AbortMultipartUpload"...

inistration/identity-access-management/minio-user-management.html#service-accounts # - accessKey: console-svcacct # secretKey: console123 # user: console ## Or you can refer to specific secret # - accessKey: externalSecret # existingSecret: my-secret # existingSecretKey: password # user: console ## You also can pass custom policy # - accessKey: console-svcacct # secretKey: console123 # user: console # policy: # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:AbortMultipartUpload"...

inistration/identity-access-management/minio-user-management.html#service-accounts # - accessKey: console-svcacct # secretKey: console123 # user: console ## Or you can refer to specific secret # - accessKey: externalSecret # existingSecret: my-secret # existingSecretKey: password # user: console ## You also can pass custom policy # - accessKey: console-svcacct # secretKey: console123 # user: console # policy: # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:AbortMultipartUpload"...

version: v1
address: ':9000'
console-address: ':9001'
certs-dir: '/home/user/.minio/certs/'
pools: # Specify the nodes and drives with pools
  -
        - 'https://server-example-pool1:9000/mnt/disk1/'
        - 'https://server1-pool1:9000/mnt/disk{1...4}/'
        - 'https://server3-pool1:9000/mnt/disk{1...4}/'
        - 'https://server4-pool1:9000/mnt/disk{1...4}/'
  -
        - 'https://server-example-pool2:9000/mnt/disk{1...4}/'

### Server Memory

For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.