* services are started by some mechanism besides {@link #startAsync}, the listeners will be invoked
 * when appropriate and {@link #awaitHealthy} will still work as expected.
 *
 * <p>Here is a simple example of how to use a {@code ServiceManager} to start a server.
 *
 * <pre>{@code
 * class Server {
 *   public static void main(String[] args) {
 *     Set<Service> services = ...;

 * services are started by some mechanism besides {@link #startAsync}, the listeners will be invoked
 * when appropriate and {@link #awaitHealthy} will still work as expected.
 *
 * <p>Here is a simple example of how to use a {@code ServiceManager} to start a server.
 *
 * <pre>{@code
 * class Server {
 *   public static void main(String[] args) {
 *     Set<Service> services = ...;

import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/rbac/v1alpha1";

// AggregationRule describes how to locate ClusterRoles to aggregate into the ClusterRole
message AggregationRule {
  // ClusterRoleSelectors holds a list of selectors which will be used to find ClusterRoles and create the rules.

Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.

Here's a small preview of how you could integrate Strawberry with FastAPI:

{* ../../docs_src/graphql/tutorial001.py hl[3,22,25:26] *}

	"google.golang.org/grpc/credentials"

	"istio.io/istio/istioctl/pkg/clioptions"
	"istio.io/istio/pilot/pkg/model"
	"istio.io/istio/pkg/adsc"
	"istio.io/istio/pkg/kube"
)

const (
	// defaultExpirationSeconds is how long-lived a token to request (an hour)
	defaultExpirationSeconds = 60 * 60
)

// Audience to create tokens for
var tokenAudiences = []string{"istio-ca"}

```

////

With this, we get tooling support, from editors and mypy as this code is correct in terms of types, but we also get the data filtering from FastAPI.

How does this work? Let's check that out. 🤓

### Type Annotations and Tooling

First let's see how editors, mypy and other tools would see this.

# How to monitor MinIO server with Grafana [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

[Grafana](https://grafana.com/) allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture.

## Prerequisites

Routes are declared in a single place, using functions declared in other places (instead of using decorators that can be placed right on top of the function that handles the endpoint). This is closer to how Django does it than to how Flask (and Starlette) does it. It separates in the code things that are relatively tightly coupled.

/// check | "Inspired **FastAPI** to"

                documentation (by default at `/docs`).

                Read more about it in the
                [FastAPI docs about how to Configure Swagger UI](https://fastapi.tiangolo.com/how-to/configure-swagger-ui/).
                """
            ),
        ] = None,
        generate_unique_id_function: Annotated[
            Callable[[routing.APIRoute], str],

    if (expectedBucketSize == 0) {
        // The elements in the list are so small that they can't even be divided into {expectedBucketNumber}.
        // For example, how do you split [0,0,0,0,0] into 3 buckets?
        // In this case, we simply put the elements into these buckets evenly.
        return list.chunked(list.size / expectedBucketNumber, smallElementAggregateFunction)
    }