)

  fun connectionCount(): Int = connectionCount.get()

  fun shutdown() {
    serverSocket!!.close()
    executor.shutdown()
    if (!executor.awaitTermination(5, TimeUnit.SECONDS)) {
      throw IOException("Gave up waiting for executor to shut down")
    }
  }

  private fun service(from: Socket) {
    val name = "SocksProxy ${from.remoteSocketAddress}"
    threadName(name) {
      try {

This includes, for example:

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:

        int cleaned = forceCleanup();

        // Shutdown executor
        cleanupExecutor.shutdown();
        try {
            if (!cleanupExecutor.awaitTermination(5, TimeUnit.SECONDS)) {
                cleanupExecutor.shutdownNow();
            }
        } catch (InterruptedException e) {
            cleanupExecutor.shutdownNow();
            Thread.currentThread().interrupt();
        }

        if (!closed.compareAndSet(false, true)) {
            return;
        }

        cleanupScheduler.shutdownNow();
        try {
            cleanupScheduler.awaitTermination(5, TimeUnit.SECONDS);
        } catch (InterruptedException e) {
            Thread.currentThread().interrupt();
            log.warn("Interrupted while shutting down cleanup scheduler", e);
        }

public class RdmaErrorHandler {

    private static final Logger log = LoggerFactory.getLogger(RdmaErrorHandler.class);

    // Retry and timing constants (in ms)
    private static final long MAX_RETRY_DELAY = 10000; // 10 seconds maximum delay
    private static final int MAX_BACKOFF_SHIFT = 4; // Maximum 16x multiplier

    private final RdmaStatistics statistics;
    private final int maxRetries;
    private final long retryDelayMs;

    /**

    }

    /**
     * Calculate total throughput in MB/s based on total time
     *
     * @param totalTimeSeconds total elapsed time in seconds
     * @return throughput in MB/s
     */
    public double getThroughputMBps(double totalTimeSeconds) {
        if (totalTimeSeconds <= 0.0) {
            return 0.0;
        }

import static com.google.common.base.Preconditions.checkArgument;
import static java.nio.charset.StandardCharsets.UTF_8;
import static java.util.Objects.requireNonNull;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.CharMatcher;
import com.google.common.base.Defaults;

        } catch (Exception e) {
            // Expected
        }
        long duration = System.currentTimeMillis() - startTime;

        // Test should complete in under 1 second (much less than the original 25+ seconds)
        assertTrue("Test should complete quickly (duration: " + duration + "ms)", duration < 1000);
    }

    // Fast mock implementations to minimize overhead

        
        // Load persisted handles on startup
        loadPersistedHandles();
        
        // Schedule periodic persistence
        scheduler.scheduleAtFixedRate(this::persistHandles, 30, 30, TimeUnit.SECONDS);
    }
    
    public static class HandleInfo implements Serializable {
        private static final long serialVersionUID = 1L;
        
        private final String path;

This can be quite noticeable when using `docker compose`. See this Docker Compose FAQ section for more technical details: <a href="https://docs.docker.com/compose/faq/#why-do-my-services-take-10-seconds-to-recreate-or-stop" class="external-link" target="_blank">Why do my services take 10 seconds to recreate or stop?</a>.

#### Directory Structure { #directory-structure }

You should now have a directory structure like:

```
.
├── app