you run **a single process per container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

And then you can set those same memory limits and requirements in your configurations for your container management system (for example in **Kubernetes**). That way it will be able to **replicate the containers** in the **available machines** taking into account the amount of memory needed by...

   *
   * <p>Note that the cache <b>may evict an entry before this limit is exceeded</b>. For example, in
   * the current implementation, when {@code concurrencyLevel} is greater than {@code 1}, each
   * resulting segment inside the cache <i>independently</i> limits its own size to approximately
   * {@code maximumSize / concurrencyLevel}.
   *

    /**
     * The character encoding to use for content. Defaults to UTF-8.
     */
    protected String charset = Constants.UTF_8;

    /**
     * Helper for managing content length validation and limits.
     */
    @Resource
    protected ContentLengthHelper contentLengthHelper;

    /**
     * Flag indicating whether the client has been initialized.
     */
    protected volatile boolean isInit = false;

 * or network should be done asynchronously.
 */
abstract class EventListener {
  /**
   * Invoked as soon as a call is enqueued or executed by a client. In case of thread or stream
   * limits, this call may be executed well before processing the request is able to begin.
   *
   * This will be invoked only once for a single [Call]. Retries of different routes or redirects

## Changelog since v1.3.5

### Other notable changes

* Addresses vSphere Volume Attach limits ([#29881](https://github.com/kubernetes/kubernetes/pull/29881), [@dagnello](https://github.com/dagnello))

 *
 * This cache limits the number of bytes that it will store on the filesystem. When the number of
 * stored bytes exceeds the limit, the cache will remove entries in the background until the limit
 * is satisfied. The limit is not strict: the cache may temporarily exceed it while waiting for
 * files to be deleted. The limit does not include filesystem overhead or the cache journal so

* Limit the number of names per image reported in the node status ([#32914](https://github.com/kubernetes/kubernetes/pull/32914), [@yujuhong](https://github.com/yujuhong))
* Fix the DOCKER_OPTS appending bug. ([#33163](https://github.com/kubernetes/kubernetes/pull/33163), [@DjangoPeng](https://github.com/DjangoPeng))

sixteenth of the namespace. Object versions marked `PENDING` or `FAILED` are re-queued for replication.

Replication speed depends on the cluster load, number of objects in the object store as well as storage speed. In addition, any bandwidth limits set via `mc admin bucket remote add` could also contribute to replication speed. The number of workers used for replication defaults to 100. Based on network bandwidth and system load, the number of workers used in replication can be configured using...

     */
    @Resource
    protected CrawlingInfoBhv crawlingInfoBhv;

    /**
     * Fess configuration object containing application settings.
     * Used to access configuration values for pagination, limits, and other settings.
     */
    @Resource
    protected FessConfig fessConfig;

    /**
     * Retrieves a paginated list of crawling information records based on the provided pager criteria.

    /**
     * The character encoding to use for content. Defaults to UTF-8.
     */
    protected String charset = Constants.UTF_8;

    /**
     * Helper for managing content length validation and limits.
     */
    @Resource
    protected ContentLengthHelper contentLengthHelper;

    /**
     * Flag indicating whether the client has been initialized.
     */
    protected volatile boolean isInit = false;