@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);
          }
        };

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

    - `apiserver_flowcontrol_demand_seats_smoothed`: Smoothed seat demands
    - `apiserver_flowcontrol_target_seats`: Seat allocation targets
    - `apiserver_flowcontrol_seat_fair_frac`: Fair fraction of server's concurrency to allocate to each priority level that can use it

- Introduced new apiserver metric `apiserver_flowcontrol_current_inqueue_seats`. This metric is analogous to `apiserver_flowcontrol_current_inqueue_requests`, but tracks the total number of seats, as each request can take more than one seat. ([#119385](https://github.com/kubernetes/kubernetes/pull/119385), [@andrewsykim](https://github.com/andrewsykim))

### OpenStack

- The `openstack-heat` provider for `kube-up` is deprecated and will be removed
  in a future release. Refer to Issue [#49213](https://github.com/kubernetes/kubernetes/issues/49213)
  for background information.

### Scheduling

2F80          ; mapped                 ; 807F          # 3.0  KANGXI RADICAL BRUSH
2F81          ; mapped                 ; 8089          # 3.0  KANGXI RADICAL MEAT
2F82          ; mapped                 ; 81E3          # 3.0  KANGXI RADICAL MINISTER
2F83          ; mapped                 ; 81EA          # 3.0  KANGXI RADICAL SELF