tags:
        - key: name
          value: pick* # match objects with tag 'name', all values starting with 'pick'
      metadata:
        - key: content-type
          value: image/* # match objects with 'content-type', all values starting with 'image/'
      size:
        lessThan: "10MiB" # match objects with size less than this value (e.g. 10MiB)

### Single Container

If you have a simple setup, with a **single container** that then starts multiple **worker processes** (or also just one process), then you could run those previous steps in the same container, right before starting the process with the app. The official Docker image supports this internally.

            }

            if (logger.isDebugEnabled()) {
                logger.debug("Starting Job {}. scriptType: {}, script: {}", id, scriptType, script);
            } else if (scheduledJob.isLoggingEnabled() && logger.isInfoEnabled()) {
                logger.info("Starting Job {}.", id);
            }

            final Object ret = jobExecutor.execute(Constants.DEFAULT_SCRIPT, script);

    @Override
    protected void startUp() {
      assertFalse(startUpCalled);
      assertFalse(runCalled);
      assertFalse(shutDownCalled);
      startUpCalled = true;
      assertEquals(State.STARTING, state());
    }

    @Override
    protected void run() {
      assertTrue(startUpCalled);
      assertFalse(runCalled);
      assertFalse(shutDownCalled);
      runCalled = true;

## MinIO configuration YAML

MinIO now supports starting the server arguments and configuration via a YAML configuration file. This YAML configuration describes everything that can be configured in a MinIO setup, such as '--address', '--console-address' and command line arguments for the MinIO server.

   * tests are divided into three sections:
   * 1. Tests on a hardcoded dataset for chains starting with median(), quartiles(), and scale(10);
   * 2. Tests on hardcoded datasets include non-finite values for chains starting with scale(10);
   * 3. Tests on a mechanically generated dataset for chains starting with percentiles();
   * 4. Tests of illegal usages of the API.
   */

  /*

   * tests are divided into three sections:
   * 1. Tests on a hardcoded dataset for chains starting with median(), quartiles(), and scale(10);
   * 2. Tests on hardcoded datasets include non-finite values for chains starting with scale(10);
   * 3. Tests on a mechanically generated dataset for chains starting with percentiles();
   * 4. Tests of illegal usages of the API.
   */

  /*

Let's check back those deployment concepts from before:

* Security - HTTPS
* Running on startup
* Restarts
* **Replication (the number of processes running)**
* Memory
* Previous steps before starting

Up to this point, with all the tutorials in the docs, you have probably been running a **server program** like Uvicorn, running a **single process**.

@GwtIncompatible
@ElementTypesAreNonnullByDefault
public interface FinalizableReference {
  /**
   * Invoked on a background thread after the referent has been garbage collected unless security
   * restrictions prevented starting a background thread, in which case this method is invoked when
   * new references are created.
   */
  void finalizeReferent();

    cwd = os.getcwd()
    os.chdir(tmp_path)
    test_db = Path("./test.db")
    if test_db.is_file():  # pragma: nocover
        test_db.unlink()
    # Import while creating the client to create the DB after starting the test session
    from docs_src.sql_databases.sql_app.tests import test_sql_app

    # Ensure import side effects are re-executed
    importlib.reload(test_sql_app)
    test_sql_app.test_create_user()