> Was ist die Geschichte dieses Projekts? Es scheint, als wäre es in ein paar Wochen aus dem Nichts zu etwas Großartigem geworden [...]

Hier ist ein wenig über diese Geschichte.

## Alternativen

Ich habe seit mehreren Jahren APIs mit komplexen Anforderungen (maschinelles Lernen, verteilte Systeme, asynchrone Jobs, NoSQL-Datenbanken, usw.) erstellt und leitete mehrere Entwicklerteams.

Dabei musste ich viele Alternativen untersuchen, testen und nutzen.

namespace tensorflow {
namespace gradients {
namespace internal {

// Helper functions which delegate to `AbstractOperation`, update
// the state of the ForwardOperation and call the tape as appropriate.
// These APIs are mainly to facilitate testing and are subject to change.

// Records the op name in the `ForwardOperation`.
absl::Status Reset(AbstractOperation*, const char* op,

import okhttp3.RequestBody;
import okhttp3.Response;
import okio.BufferedSink;
import okio.GzipSink;
import okio.Okio;

public final class RequestBodyCompression {
  /**
   * The Google API KEY for OkHttp recipes. If you're using Google APIs for anything other than
   * running these examples, please request your own client ID!
   *
   * https://console.developers.google.com/project
   */

# OpenAPI Webhooks

There are cases where you want to tell your API **users** that your app could call *their* app (sending a request) with some data, normally to **notify** of some type of **event**.

This means that instead of the normal process of your users sending requests to your API, it's **your API** (or your app) that could **send requests to their system** (to their API, their app).

This is normally called a **webhook**.

## Webhooks steps

Então, ela foi um sistema adicional completo.

Ela não é muito popular ou usada nos dias de hoje.

## OpenAPI

OpenAPI (anteriormente conhecido como Swagger) é a especificação aberta para a criação de APIs (agora parte da Linux Foundation).

**FastAPI** é baseado no **OpenAPI**.

Isso é o que torna possível ter múltiplas automações interativas de interfaces de documentação, geração de código, etc.

            if (stage.specificBuilds.contains(SpecificBuild.SanityCheck)) {
                buildReportTab("API Compatibility Report", "$hiddenArtifactDestination/report-architecture-test-binary-compatibility-report.html")
                buildReportTab("Incubating APIs Report", "incubation-reports/all-incubating.html")
            }
            if (stage.performanceTests.isNotEmpty()) {

	"github.com/spf13/cobra"
	"google.golang.org/grpc"
	corev1 "k8s.io/api/core/v1"
	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
	"k8s.io/cli-runtime/pkg/resource"
	"k8s.io/client-go/rest/fake"
	cmdtesting "k8s.io/kubectl/pkg/cmd/testing"
	cmdutil "k8s.io/kubectl/pkg/cmd/util"

	"istio.io/api/label"
	"istio.io/istio/istioctl/pkg/cli"
	"istio.io/istio/istioctl/pkg/clioptions"

// limitations under the License.

package plugin

import (
	"context"
	"fmt"
	"path/filepath"
	"strings"

	v1 "k8s.io/api/core/v1"
	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
	"k8s.io/client-go/kubernetes"

	"istio.io/istio/cni/pkg/constants"
	"istio.io/istio/pkg/kube"
	"istio.io/istio/pkg/log"
	"istio.io/istio/pkg/util/sets"
)

	ID         string
	Rotational bool
	Metrics    DiskMetrics
	Error      string // carries the error over the network
}

// DiskMetrics has the information about XL Storage APIs
// the number of calls of each API and the moving average of
// the duration of each API.
type DiskMetrics struct {
	LastMinute              map[string]AccElem `json:"apiLatencies,omitempty"`
	APICalls                map[string]uint64  `json:"apiCalls,omitempty"`

La jerarquía sería:

* **Uvicorn**: como servidor ASGI
    * **Starlette**: (usa Uvicorn) un microframework web
         * **FastAPI**: (usa Starlette) un microframework API con varias características adicionales para construir APIs, con validación de datos, etc.
* **Uvicorn**:
    * Tendrá el mejor rendimiento, ya que no tiene mucho código extra aparte del propio servidor.