if err != nil {
		c.Fatalf("should be able to get user info: %v", err)
	}
	return ui
}

func (c *check) mustNotCreateIAMUser(ctx context.Context, admClnt *madmin.AdminClient) {
	c.Helper()
	randUser := mustGetUUID()
	randPass := mustGetUUID()
	err := admClnt.AddUser(ctx, randUser, randPass)
	if err == nil {
		c.Fatalf("should not be able to create a user")
	}
}

	if err != nil {
		t.Fatalf("Unable to initialize new http request %s", err)
	}
	return req
}

// This is similar to mustNewRequest but additionally the request
// is signed with AWS Signature V4, fails if not able to do so.
func mustNewSignedRequest(method string, urlStr string, contentLength int64, body io.ReadSeeker, t *testing.T) *http.Request {
	req := mustNewRequest(method, urlStr, contentLength, body, t)
	cred := globalActiveCred

</div>

!!! tip
    With `passlib`, you could even configure it to be able to read passwords created by **Django**, a **Flask** security plug-in or many others.

    So, you would be able to, for example, share the same data from a Django application in a database with a FastAPI application. Or gradually migrate a Django application using the same database.

    And your users would be able to login from your Django app or from your **FastAPI** app, at the same time.

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

We'll see how they would affect **deployments**.

In the end, the ultimate objective is to be able to **serve your API clients** in a way that is **secure**, to **avoid disruptions**, and to use the **compute resources** (for example remote servers/virtual machines) as efficiently as possible. 🚀

			var podName, ns string
			if labelSelector != "" {
				pl, err := kubeClient.PodsForSelector(context.TODO(), ctx.NamespaceOrDefault(ctx.Namespace()), labelSelector)
				if err != nil {
					return fmt.Errorf("not able to locate pod with selector %s: %v", labelSelector, err)
				}

				if len(pl.Items) < 1 {
					return errors.New("no pods found")
				}

				if len(pl.Items) > 1 {

```Dockerfile
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
```

The file with the package requirements **won't change frequently**. So, by copying only that file, Docker will be able to **use the cache** for that step.

And then, Docker will be able to **use the cache for the next step** that downloads and install those dependencies. And here's where we **save a lot of time**. ✨ ...and avoid boredom waiting. 😪😆

</div>

#### Generate Client Code

To generate the client code you can use the command line application `openapi-ts` that would now be installed.

Because it is installed in the local project, you probably wouldn't be able to call that command directly, but you would put it on your `package.json` file.

It could look like this:

```JSON  hl_lines="7"
{
  "name": "frontend-app",
  "version": "1.0.0",
  "description": "",

 */
abstract class EventListener {
  /**
   * Invoked as soon as a call is enqueued or executed by a client. In case of thread or stream
   * limits, this call may be executed well before processing the request is able to begin.
   *
   * This will be invoked only once for a single [Call]. Retries of different routes or redirects
   * will be handled within the boundaries of a single [callStart] and [callEnd]/[callFailed] pair.
   */

}

// SelfSubjectAccessReview checks whether or the current user can perform an action.  Not filling in a
// spec.namespace means "in all namespaces".  Self is a special case, because users should always be able
// to check whether they can perform an action
message SelfSubjectAccessReview {
  // Standard list metadata.
  // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata

By adding a star, other users will be able to find it more easily and see that it has been already useful for others.

## Watch the GitHub repository for releases