You can specify each parameter using the `--set key=value[,key=value]` argument to `helm install`. For example,

```bash
helm install --name my-release --set persistence.size=1Ti minio/minio
```

The above command deploys MinIO server with a 1Ti backing persistent volume.

Alternately, you can provide a YAML file that specifies parameter values while installing the chart. For example,

```bash

The AMQP configuration is located under the sub-system `notify_amqp` top-level key. Create a configuration key-value pair here for your AMQP instance. The key is a name for your AMQP endpoint, and the value is a collection of key-value parameters described in the table below.

```
KEY:
notify_amqp[:name]  publish bucket notifications to AMQP endpoints

ARGS:
url*           (url)       AMQP server endpoint e.g. `amqp://myuser:mypassword@localhost:5672`

> TLS certificates via a different domain for your FTP servers you may choose the above command line options.


### Custom Algorithms (SFTP)

Custom algorithms can be specified via command line parameters.
Algorithms are comma separated. 
Note that valid values does not in all cases represent default values.

`--sftp=pub-key-algos=...` specifies the supported client public key

```

Then in tests annotated `@org.junit.jupiter.api.Test`, you may add a [MockWebServer] as a test
method parameter. It will be shut down automatically after the test runs.

```
class MyTest {
  @Test
  void test(MockWebServer server) {
    ...
  }
}
```

Alternately you may add the [MockWebServer] as a constructor parameter:

```
class MyTest {
  private final MockWebServer server;

  MyTest(MockWebServer server) {

* The alternative documentation will also reflect the new query parameter and body:

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Recap

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

## Get started

If you're aware of stand-alone MinIO set up, the process remains largely the same. MinIO server automatically switches to stand-alone or distributed mode, depending on the command line parameters.

### 1. Prerequisites

Install MinIO either on Kubernetes or Distributed Linux.

Install MinIO on Kubernetes:

- At the popup window, click `Import Settings from VCS`. Wait a few seconds. 
  - If the error says "Context Parameter 'Branch' missing", it's ok. Click into the error and add a context parameter `Branch` with value `myTestBranch`. Go back and it automatically reloads.
  - If there are any errors, read the error and fix your code.

   While this isn't necessary for running the updater, it is required for
   actually using the new version with Tensorflow.

2) In the `WORKSPACE` file, add the new version to the `python_versions`
   parameter of the `python_register_multi_toolchains` function.

3) In the `BUILD.bazel` file, add a load statement for the new version, e.g.

   ```
      load("@python//3.11:defs.bzl",