import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import java.io.DataOutput;
import java.io.IOException;

/**
 * An extension of {@code DataOutput} for writing to in-memory byte arrays; its methods offer
 * identical functionality but do not throw {@link IOException}.
 *
 * @author Jayaprabhakar Kadarkarai
 * @since 1.0
 */
@J2ktIncompatible
@GwtIncompatible

 * <p>This class should not be assumed to be universally superior to {@code java.util.HashMap}.
 * Generally speaking, this class reduces object allocation and memory consumption at the price of
 * moderately increased constant factors of CPU. Only use this class when there is a specific reason
 * to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 * @author Jon Noack
 */
@GwtIncompatible // not worth using in GWT for now

 * lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for
 * all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing
 * either of these extremes, {@code Striped} allows the user to trade between required concurrency
 * and memory footprint. For example, if a set of tasks are CPU-bound, one could easily create a

                String.format(Locale.ROOT, "Caught an exception in %s.  Shutting down.", t),
                e);
      } catch (Throwable errorInLogging) { // sneaky checked exception
        // If logging fails, e.g. due to missing memory, at least try to log the
        // message and the cause for the failed logging.
        System.err.println(e.getMessage());
        System.err.println(errorInLogging.getMessage());
      } finally {
        runtime.exit(1);

		return err
	}

	_, vssLimit, err := sys.GetMaxMemoryLimit()
	if err != nil {
		return err
	}

	if vssLimit > 0 && vssLimit < humanize.GiByte {
		logger.Info("WARNING: maximum virtual memory limit (%s) is too small for 'go runtime', please consider setting `ulimit -v` to unlimited",
			humanize.IBytes(vssLimit))
	}

	if ctx.MemLimit > 0 {
		debug.SetMemoryLimit(int64(ctx.MemLimit))
	}

     * Get the name service client for NetBIOS name resolution
     *
     * @return the name server client
     */
    NameServiceClient getNameServiceClient();

    /**
     * Get the buffer cache for efficient memory management
     *
     * @return the buffer cache
     */
    BufferCache getBufferCache();

    /**
     * Get the transport pool for managing SMB connections
     *
     * @return the transport pool

import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.Timeout;
import org.mockito.Mockito;

import jcifs.CIFSContext;
import jcifs.Configuration;
import jcifs.Credentials;

/**
 * Simple memory management tests to validate basic resource cleanup functionality
 */
public class SimpleMemoryManagementTest {

    private CIFSContext mockContext;
    private SmbTransportImpl mockTransport;

Let's check back those deployment concepts from before:

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

Up to this point, with all the tutorials in the docs, you have probably been running a **server program**, for example, using the `fastapi` command, that runs Uvicorn, running a **single process**.

        // We can't directly test if password is wiped since auth is out of scope,
        // but the close() method should have been called
    }

    /**
     * Test secure memory clearing in close()
     */
    @Test
    @DisplayName("Test secure memory clearing on close")
    public void testCloseSecurelyClearsMemory() {
        char[] testPassword = "CloseTestPass123!".toCharArray();

   * 2^n}, its memory usage is only {@code O(n)}. When the power set is constructed, the input set
   * is merely copied. Only as the power set is iterated are the individual subsets created, and
   * these subsets themselves occupy only a small constant amount of memory.
   *
   * @param set the set of elements to construct a power set from