exceptions.add(e);
                } finally {
                    endLatch.countDown();
                }
            });
        }

        // Start all threads simultaneously
        startLatch.countDown();

        // Wait for completion
        assertTrue(endLatch.await(30, TimeUnit.SECONDS), "All threads should complete within timeout");
        executor.shutdown();

            }
        });
        writerThread.start();

        // Give threads a moment to reach the latch
        Thread.sleep(50);

        // Release all threads to start simultaneously
        startLatch.countDown();

        // Wait for writer thread to complete
        writerThread.join(1000);

        // Wait for all reader threads to complete

    /**
     * Test concurrent getDataStoreNames calls to verify synchronized method works correctly.
     * Multiple threads call getDataStoreNames() simultaneously.
     */
    @Test
    public void test_getDataStoreNames_concurrentAccess() throws Exception {
        final int threadCount = 10;
        final Thread[] threads = new Thread[threadCount];

                        } finally {
                            endLatch.countDown();
                        }
                    });
                }

                startLatch.countDown(); // Start all threads simultaneously
                assertTrue("Concurrent registration timed out", endLatch.await(10, TimeUnit.SECONDS));

                // Verify all searchers were registered (1 initial + numThreads * searchersPerThread)

    }

  /**
   * Holding the lock of the connection being added or removed when mutating this, and check its
   * [RealConnection.noNewExchanges] property. This defends against races where a connection is
   * simultaneously adopted and removed.
   */
  private val connections = ConcurrentLinkedQueue<RealConnection>()

  init {
    // Put a floor on the keep alive duration, otherwise cleanup will spin loop.

        for (int i = 0; i < threadCount; i++) {
            final int index = i;
            threads[i] = new Thread(() -> {
                try {
                    // Multiple threads accessing context simultaneously
                    for (int j = 0; j < 50; j++) {
                        context.getConfig();
                        context.getBufferCache();
                        context.getDfs();

  var idleAtNs = Long.MAX_VALUE

  /**
   * Returns true if this is an HTTP/2 connection. Such connections can be used in multiple HTTP
   * requests simultaneously.
   */
  internal val isMultiplexed: Boolean
    get() = http2Connection != null

  /** Prevent further exchanges from being created on this connection. */
  override fun noNewExchanges() {
    withLock {

        byte[] buffer = new byte[1000];
        int numThreads = 10;
        Thread[] threads = new Thread[numThreads];

        // When - multiple threads calling methods simultaneously
        for (int i = 0; i < numThreads; i++) {
            final int threadIndex = i;
            threads[i] = new Thread(() -> {
                for (int j = 0; j < 100; j++) {

state.

This is a slower operation that does not use replication queues and is designed to walk the namespace and replicate objects one at a time so as not to impede server load. Ideally, resync 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...

                } finally {
                    completeLatch.countDown();
                }
            }).start();
        }

        // Start all threads simultaneously
        startLatch.countDown();

        // Wait for completion
        assertTrue(completeLatch.await(5, TimeUnit.SECONDS));

        // Authenticator should be closed
        assertTrue(auth.isClosed());