* worker processes: worker processes (do not translate to "procesos trabajadores" or "procesos de trabajo")
* worker: worker (do not translate to "trabajador")
* load balancer: load balancer (do not translate to "balanceador de carga")
* load balance: load balance (do not translate to "balancear carga")
* self hosting: self hosting (do not translate to "auto alojamiento")

* type hints: аннотации типов
* type annotations: аннотации типов
* context manager: менеджер контекста
* code base: кодовая база
* instantiate: создать экземпляр (avoid "инстанцировать")
* load balancer: балансировщик нагрузки
* load balance: балансировка нагрузки
* worker process: воркер-процесс (or `процесс воркера`)
* worker: воркер

    }

    /**
     * Returns an array of available data store names discovered from plugin JAR files.
     * This method implements a time-based caching mechanism that refreshes the list
     * every 60 seconds to balance performance with up-to-date plugin discovery.
     *
     * @return array of data store names sorted alphabetically, never null
     */
    public synchronized String[] getDataStoreNames() {

HTTPS
=====

OkHttp attempts to balance two competing concerns:

 * **Connectivity** to as many hosts as possible. That includes advanced hosts that run the latest versions of [boringssl](https://boringssl.googlesource.com/boringssl/) and less out of date hosts running older versions of [OpenSSL](https://www.openssl.org/).

Concurrency is different than parallelism. And it is better on **specific** scenarios that involve a lot of waiting. Because of that, it generally is a lot better than parallelism for web application development. But not for everything.

So, to balance that out, imagine the following short story:

> You have to clean a big, dirty house.

*Yep, that's the whole story*.

---

- Updated `NodeResourcesBalancedAllocation` scoring algorithm to align with the documentation. The score will now take into consideration both balance with and without the requested pod. Previous algorithm only considered balance with the requested pod. This can change the scheduling decisions in some cases. ([#135573](https://github.com/kubernetes/kubernetes/pull/135573), [@brejman](https://github.com/brejman)) [SIG Scheduling]

### Load Balancer { #load-balancer }

When using containers, you would normally have some component **listening on the main port**. It could possibly be another container that is also a **TLS Termination Proxy** to handle **HTTPS** or some similar tool.

As this component would take the **load** of requests and distribute that among the workers in a (hopefully) **balanced** way, it is also commonly called a **Load Balancer**.

### Load Balancer { #load-balancer }

Container'lar kullanırken, genellikle ana port'ta dinleyen bir bileşen olur. Bu, **HTTPS**'i ele almak için bir **TLS Termination Proxy** olan başka bir container da olabilir ya da benzeri bir araç olabilir.

Bu bileşen request'lerin **yükünü** alıp worker'lar arasında (umarım) **dengeli** şekilde dağıttığı için yaygın olarak **Load Balancer** diye de adlandırılır.

/// tip | İpucu

│   └── main.py
├── Dockerfile
└── requirements.txt
```

#### Derrière un proxy de terminaison TLS { #behind-a-tls-termination-proxy }

Si vous exécutez votre conteneur derrière un proxy de terminaison TLS (load balancer) comme Nginx ou Traefik, ajoutez l'option `--proxy-headers`, cela indiquera à Uvicorn (via la CLI FastAPI) de faire confiance aux en-têtes envoyés par ce proxy lui indiquant que l'application s'exécute derrière HTTPS, etc.

### Un Load Balancer - Múltiples Contenedores Worker { #one-load-balancer-multiple-worker-containers }