ARGS:
bitrotscan     (on|off)    perform bitrot scan on drives when checking objects during scanner
max_sleep      (duration)  maximum sleep duration between objects to slow down heal operation. eg. 2s
max_io         (int)       maximum IO requests allowed between objects to slow down heal operation. eg. 3
drive_workers  (int)       the number of workers per drive to heal a new disk replacement.
```

If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).

### Examples of Replication Tools and Strategies { #examples-of-replication-tools-and-strategies }

  private volatile ValueAndCloser<?> valueAndCloser;

  @Override
  protected void tearDown() throws Exception {
    super.tearDown();
    assertWithMessage("finishToValueAndCloserExecutor was shut down")
        .that(shutdownAndAwaitTermination(finishToValueAndCloserExecutor, 10, SECONDS))
        .isTrue();
  }

  public void testFinishToValueAndCloser_throwsIfCalledTwice() throws Exception {

            } catch (Exception e) {
                exceptions.add(e);
            }
        }
        if (!exceptions.isEmpty()) {
            InvokerException exception = new InvokerException("Could not cleanly shut down context pool");
            exceptions.forEach(exception::addSuppressed);
            throw exception;
        }
    }

    @Override
    protected MavenContext createContext(InvokerRequest invokerRequest) {

import org.eclipse.sisu.EagerSingleton;
import org.eclipse.sisu.PreDestroy;

import static java.util.Objects.requireNonNull;

/**
 * Maven internal component that bridges container "shut down" to {@link RepositorySystem#shutdown()}.
 *
 * @since 3.9.0
 */
@Named
@EagerSingleton
final class ResolverLifecycle {
    private final Provider<RepositorySystem> repositorySystemProvider;

    @Inject

    cm: AbstractContextManager[_T],
) -> AsyncGenerator[_T, None]:
    # blocking __exit__ from running waiting on a free thread
    # can create race conditions/deadlocks if the context manager itself
    # has its own internal pool (e.g. a database connection pool)
    # to avoid this we let __exit__ run without a capacity limit
    # since we're creating a new limiter for each call, any non-zero limit
    # works (1 is arbitrary)

import java.util.ArrayList;
import java.util.List;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Validate that {@link EventBus} behaves carefully when listeners publish their own events.
 *
 * @author Jesse Wilson
 */
@NullUnmarked
public class ReentrantEventsTest extends TestCase {

  static final String FIRST = "one";
  static final Double SECOND = 2.0d;

http://example.com/foo/..bar  s:http h:example.com p:/foo/..bar
http://example.com/foo/bar/../ton  s:http h:example.com p:/foo/ton
http://example.com/foo/bar/../ton/../../a  s:http h:example.com p:/a
http://example.com/foo/../../..  s:http h:example.com p:/
http://example.com/foo/../../../ton  s:http h:example.com p:/ton
http://example.com/foo/%2e  s:http h:example.com p:/foo/

### High availability

A stand-alone MinIO server would go down if the server hosting the drives goes offline. In contrast, a distributed MinIO setup with _m_ servers and _n_ drives will have your data safe as long as _m/2_ servers or _m*n_/2 or more drives are online.

if [ "${val}" != "val1" ]; then
	echo "expected bucket tag to have replicated, exiting..."
	exit_1
fi
# stop minio1 instance
kill -9 ${site1_pid}
# Update tag on minio2/newbucket when minio1 is down
./mc tag set minio2/newbucket "key=val2"
# create a new bucket on minio2. This should replicate to minio1 after it comes online.
./mc mb minio2/newbucket2