// and is immutable.
  optional string handler = 2;

  // overhead represents the resource overhead associated with running a pod for a
  // given RuntimeClass. For more details, see
  // https://git.k8s.io/enhancements/keps/sig-node/688-pod-overhead/README.md
  // +optional
  optional Overhead overhead = 3;

  // scheduling holds the scheduling constraints to ensure that pods running

  // and is immutable.
  optional string handler = 2;

  // overhead represents the resource overhead associated with running a pod for a
  // given RuntimeClass. For more details, see
  //  https://kubernetes.io/docs/concepts/scheduling-eviction/pod-overhead/
  // +optional
  optional Overhead overhead = 3;

  // scheduling holds the scheduling constraints to ensure that pods running

  // requirements, and is immutable.
  optional string runtimeHandler = 1;

  // overhead represents the resource overhead associated with running a pod for a
  // given RuntimeClass. For more details, see
  // https://git.k8s.io/enhancements/keps/sig-node/688-pod-overhead/README.md
  // +optional
  optional Overhead overhead = 2;

  // scheduling holds the scheduling constraints to ensure that pods running

## Compiler {#compiler}

The build time overhead to building with [Profile Guided Optimization](/doc/pgo) has been reduced significantly.
Previously, large builds could see 100%+ build time increase from enabling PGO.
In Go 1.23, overhead should be in the single digit percentages.

## Assembler {#assembler}

    * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself. So, your final application would still have the same overhead as if it was built using FastAPI. And in many cases, this data validation and serialization...

The main limitation is that to update or delete content of a file inside a ZIP file the entire ZIP file must be replaced.

## How to enable S3 ZIP behavior ?

    * Wenn Sie Uvicorn vergleichen, vergleichen Sie es mit Anwendungsservern wie Daphne, Hypercorn, uWSGI, usw.
* **Starlette**:

This is due to Java's use of reflection and the need to maintain a lot of metadata.

- **Size of Serialized Data:**
Java serialization tends to produce larger serialized objects because it includes class metadata and other overhead.

- **Flexibility and Control:**
Java serialization offers limited control over the serialization process, such as excluding certain fields, customizing naming conventions, and handling complex data structures more gracefully.

   * intended to be used as a metric: smaller headers are more efficient to encode and transmit.
   */
  fun byteCount(): Long {
    // Each header name has 2 bytes of overhead for ': ' and every header value has 2 bytes of
    // overhead for '\r\n'.
    var result = (namesAndValues.size * 2).toLong()

    for (i in 0 until namesAndValues.size) {
      result += namesAndValues[i].length.toLong()
    }

  /** Returns the original request that initiated this web socket. */
  fun request(): Request

  /**
   * Returns the size in bytes of all messages enqueued to be transmitted to the server. This
   * doesn't include framing overhead. If compression is enabled, uncompressed messages size
   * is used to calculate this value. It also doesn't include any bytes buffered by the operating