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*.

---

    an `Ingress` creation request to the Federation API Server. The
    Federation control system then creates and maintains a single
    global virtual IP to load balance incoming HTTP(S) traffic across
    some or all the registered clusters, across all regions. Google's
    GCE L7 LoadBalancer is the first supported implementation, and
	is available in this release.

### 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.

- 🔑 Autenticación con tokens JWT.
- 📫 Recuperación de contraseñas basada en email.
- ✅ Pruebas con [Pytest](https://pytest.org).
- 📞 [Traefik](https://traefik.io) como proxy inverso / load balancer.
- 🚢 Instrucciones de despliegue usando Docker Compose, incluyendo cómo configurar un proxy Traefik frontend para manejar certificados HTTPS automáticos.

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

        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;