mettre à niveau Pydantic pour utiliser la dernière version 2 et modifier les imports pour utiliser `pydantic.v1` pour tous vos modèles.

Ensuite, vous pouvez commencer à migrer vos modèles de Pydantic v1 vers v2 par groupes, par étapes progressives. 🚶...

with JMH as of 2021-04-30.

The async profiler is neat because it does not suffer from the safepoint
bias problem. And because it makes pretty flame graphs!

Let user processes read performance stuff:
```
sudo bash
echo 0 > /proc/sys/kernel/kptr_restrict
echo 1 > /proc/sys/kernel/perf_event_paranoid
exit
```

should not be initiated for multiple buckets simultaneously - progress of the syncing can be monitored by looking at `mc replicate resync status alias/bucket --remote-bucket <arn>`. In the event that resync operation failed to replicate some versions, they would be picked up by the healing mechanism in-built as part of the scanner. If the resync operation reports a failed status or in the event of a cluster restart while resync is in progress, a fresh `resync start` can be issued - this will replicate...

It is made up of 3 architecture modules:

- **core-runtime**: Provides the runtimes or "containers" in which code runs. These runtimes include the Gradle client, the daemon and the worker processes. This is the base module on which all other architecture modules depend.
- **core-configuration**: Allows the build structure and work, such as tasks, to be specified. This includes the project model, the DSL and so on.

           *
           * Technically this loop not guaranteed to terminate, so theoretically (extremely
           * unlikely) this thread might starve, but even then, there is always going to be another
           * thread doing progress here.
           */
        }
      }
    }
  }

  /**
   * Returns a function that delegates to the {@link Interner#intern} method of the given interner.
   *
   * @since 8.0
   */

	if p.Pools[idx].Decommission == nil {
		// Decommission not in progress.
		return
	}
	p.Pools[idx].Decommission.Bucket = bucket
	p.Pools[idx].Decommission.Object = object
}

func (p *poolMeta) PendingBuckets(idx int) []decomBucketInfo {
	if p.Pools[idx].Decommission == nil {
		// Decommission not in progress.
		return nil
	}

This is the basic idea. But you will probably want to take care of some additional things, like:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

          }
        }
      }
    }
  }

  /**
   * Using this as the blocker object allows introspection and debugging tools to see that the
   * currentRunner thread is blocked on the progress of the interruptor thread, which can help
   * identify deadlocks.
   */
  @VisibleForTesting
  static final class Blocker extends AbstractOwnableSynchronizer implements Runnable {

   * {@code k} to value {@code v} in the specified map. The behavior of this operation is undefined
   * if the specified map is modified while the operation is in progress.
   *
   * @since 12.0
   */
  void putAll(Map<? extends K, ? extends V> m);

  /** Discards any cached value for key {@code key}. */
  void invalidate(@CompatibleWith("K") Object key);

  /**

           *
           * Technically this loop not guaranteed to terminate, so theoretically (extremely
           * unlikely) this thread might starve, but even then, there is always going to be another
           * thread doing progress here.
           */
        }
      }
    }
  }

  /**
   * Returns a function that delegates to the {@link Interner#intern} method of the given interner.
   *
   * @since 8.0
   */