- Scheduler now ignores Pod update events if the resourceVersion of old and new Pods are identical. ([#96071](https://github.com/kubernetes/kubernetes/pull/96071), [@Huang-Wei](https://github.com/Huang-Wei)) [SIG Scheduling]

```

////

## Recapitulando

Com exceção de todas as palavras complicadas usadas aqui, o sistema de **Injeção de Dependência** é bastante simples.

Consiste apenas de funções que parecem idênticas a *funções de operação de rota*.

Mas ainda assim, é bastante poderoso, e permite que você declare grafos (árvores) de dependências com uma profundidade arbitrária.

/// tip | Dica

/// tip | Consejo

/// tip | Dica

* GCE: Bump GLBC version to 1.1.1 - fixing an issue of handling multiple certs with identical certificates ([#62751](https://github.com/kubernetes/kubernetes/pull/62751), [@nicksardo](https://github.com/nicksardo))

    * Whether you represent a ragged tensor as a `tf.RaggedTensor` or using [keras masking](https://www.tensorflow.org/guide/keras/masking_and_padding), the returned loss values should be the identical to each other. In previous versions Keras may have silently ignored the mask.
 * If you use masked losses with Keras the loss values may be different in TensorFlow `2.12` compared to previous versions.

Besides the above new features, support for Azure Virtual Machine Scale Sets (VMSS) and Cluster-Autoscaler is now stable and considered GA:

- Azure virtual machine scale sets (VMSS) allow you to create and manage identical load balanced VMs that automatically increase or decrease based on demand or a set schedule.

smaller chunks. A client can specify a limit to the number of results to return. If more results exist, a token is returned that allows the client to continue the previous list call repeatedly until all results are retrieved.  The resulting list is identical to a list call that does not perform chunking, thanks to capabilities provided by etcd3.  This allows the server to use less memory and CPU when very large lists are returned. This feature is gated as APIListChunking and is not enabled by default....

chunks.  A client can specify a limit to the number of results to return, and if more results exist a token will be returned that allows the client to continue the previous list call repeatedly until all results are retrieved.  The resulting list is identical to a list call that does not perform chunking thanks to capabilities provided by etcd3.  This allows the server to use less memory and CPU responding with very large lists.  This feature is gated as APIListChunking and is not enabled by default....

### Otras formas de código asíncrono

Este estilo de usar `async` y `await` es relativamente nuevo en el lenguaje.

Pero hace que trabajar con código asíncrono sea mucho más fácil.

Esta misma sintaxis (o casi idéntica) también se incluyó recientemente en las versiones modernas de JavaScript (en el Navegador y NodeJS).

Pero antes de eso, manejar el código asíncrono era mucho más complejo y difícil.