* consumer project.
     * <p>
     * Note: This property is about "build path", whatever it means in the scope of the consumer project. It is NOT
     * about Java classpath or anything alike. How artifact is being consumed depends heavily on the consumer project.
     * Resolver is and will remain agnostic of consumer project use cases.
     */

A secondary goal was to enable a smoother on-ramp from "Zero" to "Getting some value".
Historically, Istio had to really be consumed all-or-nothing for things to work as expected.
In particular, an easy answer to "I just want to have mTLS everywhere, then I can think about adopting the rest of service mesh" was desired.

## Goals

Ztunnel should:

  val condition: Condition = lock.newCondition()

  // Internal state is guarded by [lock]. No long-running or potentially blocking operations are
  // performed while the lock is held.

  /** The bytes consumed and acknowledged by the stream. */
  val readBytes: WindowCounter = WindowCounter(id)

  /** The total number of bytes produced by the application. */
  var writeBytesTotal = 0L
    internal set

But it also means that as the number of processes depends on the CPU the container is running, the **amount of memory consumed** will also depend on that.

  /**
   * Settings we receive from the peer. Changes to the field are guarded by this. The instance is
   * never mutated once it has been assigned.
   */
  var peerSettings = DEFAULT_SETTINGS

  /** The bytes consumed and acknowledged by the application. */
  val readBytes: WindowCounter = WindowCounter(streamId = 0)

  /** The total number of bytes produced by the application. */
  var writeBytesTotal = 0L
    private set

* the contents your program gave to the system to be written to disk
* a remote API operation
* a database operation to finish
* a database query to return the results
* etc.

As the execution time is consumed mostly by waiting for <abbr title="Input and Output">I/O</abbr> operations, they call them "I/O bound" operations.

	return saveConfig(ctx, objectAPI, configFile, buf)
}

// getReplicationDiff returns un-replicated objects in a channel.
// If a non-nil channel is returned it must be consumed fully or
// the provided context must be canceled.
func getReplicationDiff(ctx context.Context, objAPI ObjectLayer, bucket string, opts madmin.ReplDiffOpts) (chan madmin.DiffInfo, error) {

And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨

### Multiple Processes - An Example

          GeneralSpliterator<E> spliterator, Consumer<? super E> consumer) {
        spliterator.forEachRemaining(consumer);
      }
    },
    NO_SPLIT_TRY_ADVANCE {
      @Override
      <E extends @Nullable Object> void forEach(
          GeneralSpliterator<E> spliterator, Consumer<? super E> consumer) {
        while (spliterator.tryAdvance(consumer)) {
          // do nothing
        }
      }
    },

Mas isso também significa que, como o número de processos depende da CPU do contêiner em execução, a **quantidade de memória consumida** também dependerá disso.