* Upgrading Container-VM base image for k8s on GCE. Brief changelog as follows: ([#32738](https://github.com/kubernetes/kubernetes/pull/32738), [@Amey-D](https://github.com/Amey-D))
    * Fixed performance regression in veth device driver
    * Docker and related binaries are statically linked
    * Fixed the issue of systemd being oom-killable

Senkron çalışan Python web framework'lerinin standardına (WSGI) dayandığından dolayı Websocket'leri ve diğer şeyleri işleyemiyor, ancak yine de yüksek performansa sahip.

/// info | Bilgi

mitigation to avoid disrupting load balancer → kube-apiserver connections if http/2 requests from multiple clients share the same backend connection. An API server on a private network may choose not to enable the kube-apiserver mitigation to prevent performance regressions for unauthenticated clients. Authenticated requests rely on the fix in golang.org/x/net v0.17.0 alone. https://issue.k8s.io/121197 tracks further mitigation of http/2 attacks by authenticated clients. ([#121200](https://github.com/k...

- Fix performance issue when creating large objects using SSA with fully unspecified schemas (preserveUnknownFields). ([#111915](https://github.com/kubernetes/kubernetes/pull/111915), [@aojea](https://github.com/aojea)) [SIG API Machinery, Architecture, Auth, CLI,...

utilisateurs**.

Pour une **API Web**, cela implique normalement de la placer sur une **machine distante**, avec un **programme serveur**
qui offre de bonnes performances, une bonne stabilité, _etc._, afin que vos **utilisateurs** puissent **accéder** à
l'application efficacement et sans interruption ni problème.

Konkret geht es darum, Uvicorn, Starlette und FastAPI miteinander zu vergleichen (neben vielen anderen Tools).

Je einfacher das Problem, welches durch das Tool gelöst wird, desto besser ist die Performanz. Und die meisten Benchmarks testen nicht die zusätzlichen Funktionen, welche das Tool bietet.

Die Hierarchie ist wie folgt:

* **Uvicorn**: ein ASGI-Server
    * **Starlette**: (verwendet Uvicorn) ein Web-Mikroframework

---

FastAPI ist ein modernes, schnelles (hoch performantes) Webframework zur Erstellung von APIs mit Python auf Basis von Standard-Python-Typhinweisen.

Seine Schlüssel-Merkmale sind:

* **Schnell**: Sehr hohe Leistung, auf Augenhöhe mit **NodeJS** und **Go** (Dank Starlette und Pydantic). [Eines der schnellsten verfügbaren Python-Frameworks](#performanz).

Bir **Web API** için bu süreç normalde uygulamayı **uzak bir makineye** yerleştirmeyi, iyi performans, kararlılık vb. özellikler sağlayan bir **sunucu programı** ile **kullanıcılarınızın** uygulamaya etkili ve kesintisiz bir şekilde **erişebilmesini** kapsar.

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isAvailableDatabaseNativeJDBC: (NotRequired - Default false)
    #   [true]
    #     Use classes of database native JDBC on generated classes to get best performances of DB access.
    #     Your project needs to refer to database native JDBC.
    #
    #; isAvailableDatabaseNativeJDBC = false
    # - - - - - - - - - -/

* Serveur web Python **prêt au déploiement** utilisant Uvicorn et Gunicorn.
* Backend Python <a href="https://github.com/fastapi/fastapi" class="external-link" target="_blank">**FastAPI**</a> :
    * **Rapide** : Très hautes performances, comparables à **NodeJS** ou **Go** (grâce à Starlette et Pydantic).