@SuppressWarnings("unused")
          @Subscribe
          public void eat(Object food) {
            objectEvents.add(food);
          }
        };

    final List<Comparable<?>> compEvents = Lists.newArrayList();
    Object compCatcher =
        new Object() {
          @SuppressWarnings("unused")
          @Subscribe
          public void eat(Comparable<?> food) {
            compEvents.add(food);
          }
        };

          @SuppressWarnings("unused")
          @Subscribe
          public void eat(Object food) {
            objectEvents.add(food);
          }
        };

    final List<Comparable<?>> compEvents = Lists.newArrayList();
    Object compCatcher =
        new Object() {
          @SuppressWarnings("unused")
          @Subscribe
          public void eat(Comparable<?> food) {
            compEvents.add(food);
          }
        };

                    artifact.setRepository(repository);
                    break;
                }
            } catch (ResourceDoesNotExistException e) {
                // This one we will eat when looking through remote repositories
                // because we want to cycle through them all before squawking.

                logger.debug(

Then at some point, it finally is your turn. You go to the counter, get your burgers and come back to the table.

<img src="/img/async/concurrent-burgers/concurrent-burgers-06.png" class="illustration">

You and your crush eat the burgers and have a nice time. ✨

<img src="/img/async/concurrent-burgers/concurrent-burgers-07.png" class="illustration">

!!! info

func (sys *NotificationSys) VerifyBinary(ctx context.Context, u *url.URL, sha256Sum []byte, releaseInfo string, bin []byte) []NotificationPeerErr {
	// FIXME: network calls made in this manner such as one goroutine per node,
	// can easily eat into the internode bandwidth. This function would be mostly
	// TX saturating, however there are situations where a RX might also saturate.
	// To avoid these problems we must split the work at scale. With 1000 node

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