Deleting the cache when it is no longer needed can be done.  However this may delete the purpose of the cache
which is designed to persist between app restarts.

```kotlin
cache.delete()
```
 
## Pruning the Cache

Pruning the entire Cache to clear space temporarily can be done using evictAll.

```kotlin
cache.evictAll()
```

Removing individual items can be done using the urls iterator.

import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.stream.StreamUtil;
import org.codelibs.fess.exception.FessSystemException;
import org.w3c.dom.Node;

/**
 * Represents a tag configuration for pruning HTML content during document processing.
 * This class defines tag patterns that match HTML elements based on tag name, CSS class, ID, or custom attributes.

 * It is used to interrupt a running thread when a timeout occurs.
 * The class provides methods to interrupt the thread and stop the timeout target.
 *
 * <p>
 * The class uses a logger to log debug messages.
 * It also uses an AtomicBoolean to track whether the thread is running.
 * </p>
 *
 * <p>
 * The expired method is called when a timeout occurs.
 * It interrupts the running thread up to a maximum number of times.

    val c1 = factory.newConnection(pool, routeA1, 50L)

    // Running at time 50, the pool returns that nothing can be evicted until time 150.
    assertThat(pool.closeConnections(50L)).isEqualTo(100L)
    assertThat(pool.connectionCount()).isEqualTo(1)
    assertThat(c1.socket().isClosed).isFalse()

    // Running at time 60, the pool returns that nothing can be evicted until time 150.

research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report
vulnerabilities to the vendor of the affected hardware accelerator.

        project.findProperty("currentReleasedVersionBuildTimestamp").toString()
    )
}

val updateAgpVersions = tasks.register<UpdateAgpVersions>("updateAgpVersions") {
    comment = " Generated - Update by running `./gradlew updateAgpVersions`"
    currentGradleVersion = gradleModule.identity.version
    propertiesFile = layout.projectDirectory.file("gradle/dependency-management/agp-versions.properties")

package org.codelibs.fess.crawler;

/**
 * Enum representing the status of a crawler.
 * It can be INITIALIZING, RUNNING, or DONE.
 */
public enum CrawlerStatus {
    /**
     * The crawler is initializing.
     */
    INITIALIZING,

    /**
     * The crawler is currently running.
     */
    RUNNING,

    /**
     * The crawler has completed its task.
     */
    DONE;

 */
public class MockWitnessService implements AutoCloseable {
    private static final Logger log = LoggerFactory.getLogger(MockWitnessService.class);

    private ServerSocket serverSocket;
    private final AtomicBoolean running = new AtomicBoolean(false);
    private final AtomicInteger registrationCounter = new AtomicInteger(0);
    private final ConcurrentHashMap<String, MockRegistration> registrations = new ConcurrentHashMap<>();

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**.

      matrix:
        pyver: ['3.9', '3.10', '3.11', '3.12']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi