<img src="/img/deployment/https/https05.drawio.svg">

### HTTP Response { #http-response }

The application would process the request and send a **plain (unencrypted) HTTP response** to the TLS Termination Proxy.

        // Test process method without properties path
        ThumbnailGenerator.Options options = new ThumbnailGenerator.Options();
        options.numOfThreads = 2;
        options.cleanup = true;

        // Setup mock components
        setupMockComponents();

        Method processMethod = ThumbnailGenerator.class.getDeclaredMethod("process", ThumbnailGenerator.Options.class);

    }

    // Test that process method is abstract
    public void test_processMethodIsAbstract() throws Exception {
        try {
            java.lang.reflect.Method processMethod =
                    CorsHandler.class.getDeclaredMethod("process", String.class, ServletRequest.class, ServletResponse.class);

    int NT_STATUS_OBJECT_PATH_NOT_FOUND = 0xC000003a;
    /** The object path syntax is bad */
    int NT_STATUS_OBJECT_PATH_SYNTAX_BAD = 0xC000003b;
    /** The process cannot access the file because it is being used by another process */
    int NT_STATUS_SHARING_VIOLATION = 0xC0000043;
    /** The file is pending deletion */
    int NT_STATUS_DELETE_PENDING = 0xC0000056;

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 { #memory-per-process }

        assertTrue(result.contains("Python Process terminated."));
    }

    // Test execute with timeout
    public void test_execute_withTimeout() {
        pythonJob.filename("timeout.py");
        pythonJob.timeout = 60; // Set timeout
        pythonJob.processTimeout = true;

        testProcessHelper.exitValue = -1;
        testProcessHelper.processOutput = "Process terminated";

## Recap { #recap }

You can use multiple worker processes with the `--workers` CLI option with the `fastapi` or `uvicorn` commands to take advantage of **multi-core CPUs**, to run **multiple processes in parallel**.

A container is running as long as the **main process** (command or program) is running.

A container normally has a **single process**, but it's also possible to start subprocesses from the main process, and that way you will have **multiple processes** in the same container.

But it's not possible to have a running container without **at least one running process**. If the main process stops, the container stops.

        // Test basic process execution
        TestWebApiManager manager = new TestWebApiManager("/api");

        TestHttpServletRequest request = new TestHttpServletRequest();
        request.setRequestURI("/api/test");
        TestHttpServletResponse response = new TestHttpServletResponse();
        TestFilterChain chain = new TestFilterChain();

        manager.process(request, response, chain);

    /**
     * Enqueues a [Call] and process it as [EventSource] with [listener].
     */
    @JvmStatic
    @JvmName("enqueue")
    fun Call.enqueueEventSource(listener: EventSourceListener): EventSource = RealEventSource(this, listener).also(this::enqueue)

    /**
     * Processes the existing response with [listener].
     */
    @JvmStatic
    @JvmName("process")