* 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() {

				"application/vnd.kinar",
				"application/vnd.koan",
				"application/vnd.kodak-descriptor",
				"application/vnd.liberty-request+xml",
				"application/vnd.llamagraphics.life-balance.desktop",
				"application/vnd.llamagraphics.life-balance.exchange+xml",
				"application/vnd.lotus-1-2-3",
				"application/vnd.lotus-approach",
				"application/vnd.lotus-freelance",
				"application/vnd.lotus-notes",

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*.

---

### 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**.

        assertDoesNotThrow(() -> channelManager.shutdown());
    }

    @Test
    void testLoadBalancerAccess() {
        ChannelLoadBalancer balancer = channelManager.getLoadBalancer();
        assertNotNull(balancer);

        // Should return same instance
        assertSame(balancer, channelManager.getLoadBalancer());
    }

    @Test
    void testChannelFailureHandling() throws UnknownHostException {

        if (result[0] == 0) {
          distinctElements++;
        }
        this.totalCount += count;
        return (right.height == initHeight) ? this : rebalance();
      }

      // adding count to me!  No rebalance possible.
      result[0] = elemCount;
      long resultCount = (long) elemCount + count;
      checkArgument(resultCount <= Integer.MAX_VALUE);
      this.elemCount += count;

### Ein Load Balancer – mehrere Workercontainer { #one-load-balancer-multiple-worker-containers }

- 🔒 Secure password hashing by default.
- 🔑 JWT (JSON Web Token) authentication.
- 📫 Email based password recovery.
- ✅ Tests with [Pytest](https://pytest.org).
- 📞 [Traefik](https://traefik.io) as a reverse proxy / load balancer.
- 🚢 Deployment instructions using Docker Compose, including how to set up a frontend Traefik proxy to handle automatic HTTPS certificates.