* [Granian](https://github.com/emmett-framework/granian): A Rust HTTP server for Python applications.
* [NGINX Unit](https://unit.nginx.org/howto/fastapi/): NGINX Unit is a lightweight and versatile web application runtime.

## Server Machine and Server Program { #server-machine-and-server-program }

There's a small detail about names to keep in mind. 💡

        // Reduce default interval to minimize test execution time
        dataIndexHelper.setCrawlingExecutionInterval(1L); // 1ms instead of 5000ms
    }

    private void setupMockComponents() {
        // Lightweight mock CrawlingConfigHelper
        ComponentUtil.register(new CrawlingConfigHelper() {
            @Override
            public List<DataConfig> getAllDataConfigList() {

Containers (mainly Linux containers) are a very **lightweight** way to package applications including all their dependencies and necessary files while keeping them isolated from other containers (other applications or components) in the same system.

**FastAPI** then takes that JSON Schema data and puts it in OpenAPI, apart from all the other things it does.

///

### [Starlette](https://www.starlette.dev/) { #starlette }

Starlette is a lightweight <dfn title="The new standard for building asynchronous Python web applications">ASGI</dfn> framework/toolkit, which is ideal for building high-performance asyncio services.

   * <p>If {@link #interruptTask} is also run during completion, {@link #afterDone} runs after it.
   *
   * <p>The default implementation of this method in {@code AbstractFuture} does nothing. This is
   * intended for very lightweight cleanup work, for example, timing statistics or clearing fields.
   * If your task does anything heavier consider, just using a listener with an executor.
   *
   * @since 20.0
   */
  @ForOverride

  }

  /**
   * Returns the result of calling {@link Future#get()} uninterruptibly on a task known not to throw
   * a checked exception. This makes {@code Future} more suitable for lightweight, fast-running
   * tasks that, barring bugs in the code, will not fail. This gives it exception-handling behavior
   * similar to that of {@code ForkJoinTask.join}.
   *

*   Added a `model.export(filepath)` API to create a lightweight SavedModel artifact that can be used for inference (e.g. with TF-Serving).