processIOReadBytesMD              = NewCounterMD(processIOReadBytes, "Total bytes read by the process from the underlying storage system, /proc/[pid]/io read_bytes")

            final CountDownLatch latch = new CountDownLatch(3);
            final Process process = jobProcess.getProcess();
            new Thread(() -> {
                try {
                    CloseableUtil.closeQuietly(process.getInputStream());
                } catch (final Exception e) {
                    logger.warn("Could not close a process input stream.", e);
                } finally {
                    latch.countDown();

    process_after: Annotated[timedelta, Body()],
    repeat_at: Annotated[Union[time, None], Body()] = None,
):
    start_process = start_datetime + process_after
    duration = end_datetime - start_process
    return {
        "item_id": item_id,
        "start_datetime": start_datetime,
        "end_datetime": end_datetime,
        "process_after": process_after,
        "repeat_at": repeat_at,

    end_datetime: Annotated[datetime, Body()],
    process_after: Annotated[timedelta, Body()],
    repeat_at: Annotated[time | None, Body()] = None,
):
    start_process = start_datetime + process_after
    duration = end_datetime - start_process
    return {
        "item_id": item_id,
        "start_datetime": start_datetime,
        "end_datetime": end_datetime,
        "process_after": process_after,
        "repeat_at": repeat_at,

    process_after: Annotated[timedelta, Body()],
    repeat_at: Annotated[Union[time, None], Body()] = None,
):
    start_process = start_datetime + process_after
    duration = end_datetime - start_process
    return {
        "item_id": item_id,
        "start_datetime": start_datetime,
        "end_datetime": end_datetime,
        "process_after": process_after,
        "repeat_at": repeat_at,

public class JobProcess {
    protected Process process;

    protected InputStreamThread inputStreamThread;

    public JobProcess(final Process process) {
        this(process, InputStreamThread.MAX_BUFFER_SIZE, null);
    }

    public JobProcess(final Process process, final int bufferSize, final Consumer<String> outputCallback) {
        this.process = process;

    end_datetime: datetime = Body(),
    process_after: timedelta = Body(),
    repeat_at: Union[time, None] = Body(default=None),
):
    start_process = start_datetime + process_after
    duration = end_datetime - start_process
    return {
        "item_id": item_id,
        "start_datetime": start_datetime,
        "end_datetime": end_datetime,
        "process_after": process_after,
        "repeat_at": repeat_at,

This is still true.

So, to be able to have **multiple processes** at the same time, there has to be a **single process listening on a port** that then transmits the communication to each worker process in some way.

### Memory per Process

    }

    // web/file
    public ResultData process(final ResultData target, final ResponseData responseData) {
        return target;
    }

    // web/file
    public Map<String, Object> process(final Map<String, Object> target, final AccessResult<String> accessResult) {
        return process(target);
    }

    // datastore
    public Map<String, Object> process(final Map<String, Object> target, final DataStoreParams params) {

    end_datetime: datetime = Body(),
    process_after: timedelta = Body(),
    repeat_at: time | None = Body(default=None),
):
    start_process = start_datetime + process_after
    duration = end_datetime - start_process
    return {
        "item_id": item_id,
        "start_datetime": start_datetime,
        "end_datetime": end_datetime,
        "process_after": process_after,
        "repeat_at": repeat_at,