// 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

  // 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

## 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...

Blocking APIs may be inefficient because you hold a thread idle while waiting on the network. Threads are expensive because they have both a memory overhead and a context-switching overhead.

#### Framed protocols

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

class DirFileEntryEnumIterator1 extends DirFileEntryEnumIteratorBase {

    private static final Logger log = LoggerFactory.getLogger(DirFileEntryEnumIterator1.class);
    private static final int FIND_OVERHEAD = 100; // plenty enough

    private Trans2FindNext2 nextRequest;
    private Trans2FindFirst2Response response;

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package cgotest

import (
	"io"
	"os"
	"path/filepath"
	"strings"
)

// OverlayDir makes a minimal-overhead copy of srcRoot in which new files may be added.
func OverlayDir(dstRoot, srcRoot string) error {
	dstRoot = filepath.Clean(dstRoot)
	if err := os.MkdirAll(dstRoot, 0777); err != nil {
		return err
	}

- **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.