Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.
This is due to Java's use of reflection and the need to maintain a lot of metadata.

- **Size of Serialized Data:**

import japicmp.model.JApiMethod
import javassist.bytecode.SourceFileAttribute
import java.io.File


/**
 * Repository of sources for binary compatibility checks.
 *
 * `WARN` Holds resources open for performance, must be closed after use.
 */
class BinaryCompatibilityRepository internal constructor(

    private
    val sources: SourcesRepository

) : AutoCloseable {

    companion object {

      label: Affected product area
      options:
      - label: "Ambient"
      - label: "Docs"
      - label: "Dual Stack"
      - label: "Installation"
      - label: "Networking"
      - label: "Performance and Scalability"
      - label: "Extensions and Telemetry"
      - label: "Security"
      - label: "Test and Release"
      - label: "User Experience"
      - label: "Developer Infrastructure"
      - label: "Upgrade"

[build-system]
requires = ["pdm-backend"]
build-backend = "pdm.backend"

[project]
name = "fastapi"
dynamic = ["version"]
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
readme = "README.md"
requires-python = ">=3.8"
authors = [
    { name = "Sebastián Ramírez", email = "******@****.***" },
]
classifiers = [
    "Intended Audience :: Information Technology",

 *
 * We perform this filtering, since if we simply include all external dependencies, regardless of whether
 * they are already loaded transitively, there is a measurable performance impact during module-loading.
 */
fun computeExternalDependenciesNotAccessibleFromProjectDependencies(
    rootComponent: ResolvedComponentResult,
    rootVariant: ResolvedVariantResult
): Set<ComponentIdentifier> {

authors:
  - family-names: Abadi
    given-names: Martín
  - family-names: Agarwal
    given-names: Ashish
  - family-names: Barham
    given-names: Paul

With **FastAPI** you get all of **Starlette**'s features (as FastAPI is just Starlette on steroids):

* Seriously impressive performance. It is <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">one of the fastest Python frameworks available, on par with **NodeJS** and **Go**</a>.
* **WebSocket** support.
* In-process background tasks.

    }

    def "matches daemon process started by performance test on Windows"() {

So, behind the scenes, it will actually work as if everything was the same single app.

///

/// check

You don't have to worry about performance when including routers.

This will take microseconds and will only happen at startup.

So it won't affect performance. ⚡

///

### Include an `APIRouter` with a custom `prefix`, `tags`, `responses`, and `dependencies`

Existem diversas alternativas, incluindo:

* <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>: um servidor ASGI de alta performance.
* <a href="https://hypercorn.readthedocs.io/" class="external-link" target="_blank">Hypercorn</a>: um servidor ASGI compátivel com HTTP/2, Trio e outros recursos.