* **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande planilha com números e em multiplicar todos eles juntos e ao mesmo tempo.

### Concurrency + Parallelism: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

- Kube-apiserver: fixes a 1.27+ regression watching a single namespace via the deprecated /api/v1/watch/namespaces/$name endpoint where watch events were not delivered after the watch was established ([#126150](https://github.com/kubernetes/kubernetes/pull/126150), [@xyz-li](https://github.com/xyz-li)) [SIG API Machinery and Testing]

- Fixes issue where you can't attach more than 15 GCE Persistent Disks to c2, n2, m1, m2 machine types. ([#88602](https://github.com/kubernetes/kubernetes/pull/88602), [@yuga711](https://github.com/yuga711)) [SIG Storage]
- Fixes kubelet crash in client certificate rotation cases ([#88079](https://github.com/kubernetes/kubernetes/pull/88079), [@liggitt](https://github.com/liggitt)) [SIG API Machinery, Auth and Node]

- Kube-apiserver: fixes a potential crash serving CustomResourceDefinitions that combine an invalid schema and CEL validation rules. ([#126167](https://github.com/kubernetes/kubernetes/pull/126167), [@cici37](https://github.com/cici37)) [SIG API Machinery and Testing]

## What Does Deployment Mean { #what-does-deployment-mean }

To **deploy** an application means to perform the necessary steps to make it **available to the users**.

For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.

- Kube-apiserver now reports metrics for authorization decisions in the `apiserver_authorization_decisions_total` metric, labeled by authorizer type, name, and decision. ([#123333](https://github.com/kubernetes/kubernetes/pull/123333), [@liggitt](https://github.com/liggitt)) [SIG API Machinery, Auth and Testing]

- The v1 Endpoints API is now officially deprecated (though still fully supported). The API will not be removed, but all users should use the EndpointSlice API instead. ([#130098](https://github.com/kubernetes/kubernetes/pull/130098), [@danwinship](https://github.com/danwinship)) [SIG API Machinery and Network]

### API Change

- Kube-apiserver: resolved a regression that treated `304 Not Modified` responses from aggregated API servers as internal errors ([#112530](https://github.com/kubernetes/kubernetes/pull/112530), [@liggitt](https://github.com/liggitt)) [SIG API Machinery]

## Que signifie le déploiement

**Déployer** une application signifie effectuer les étapes nécessaires pour la rendre **disponible pour les
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.