Further, MinIO's erasure code is at the object level and can heal one object at a time. For RAID, healing can be done only at the volume level which translates into high downtime. As MinIO encodes each object individually, it can heal objects incrementally. Storage servers once deployed should not require drive replacement or healing for the lifetime of the server. MinIO's erasure coded backend is designed for operational efficiency and takes full advantage of hardware acceleration whenever available....

```Dockerfile
COPY ./requirements.txt /code/requirements.txt
```

Docker and other tools **build** these container images **incrementally**, adding **one layer on top of the other**, starting from the top of the `Dockerfile` and adding any files created by each of the instructions of the `Dockerfile`.

        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <!-- https://kotlinlang.org/docs/maven.html#enable-incremental-compilation -->
        <kotlin.compiler.incremental>true</kotlin.compiler.incremental>
    </properties>
    <groupId>Gradle_Check</groupId>
    <artifactId>Gradle_Check_dsl</artifactId>
    <version>1.0-SNAPSHOT</version>

    <parent>

      - master
  pull_request:
    types: [opened, labeled, unlabeled, synchronize]

permissions:
  contents: read

env:
  GRADLE_OPTS: "-Dorg.gradle.jvmargs=-Xmx4g -Dorg.gradle.daemon=false -Dkotlin.incremental=false"

jobs:
  test_docs:
    permissions:
      checks: write # for actions/upload-artifact
    runs-on: ubuntu-latest

       changes with every test execution, such that running the test
       actually changes the test classpath itself. This means that it
       can"t benefit from incremental build acceleration, because on every
       execution it sees that the classpath has changed, and so to be
       safe, it needs to re-run.

       - This is unfortunate, because actually it would be safe to declare

 * This class extends the base CrawlerThread and provides Fess-specific functionality for
 * crawling and indexing documents, including incremental crawling capabilities, content
 * modification checking, and integration with the Fess search engine backend.
 *
 * <p>Key features include:</p>
 * <ul>
 * <li>Incremental crawling support with last-modified timestamp checking</li>
 * <li>Document expiration handling</li>

      - master
  pull_request:
    types: [opened, labeled, unlabeled, synchronize]

permissions:
  contents: read

env:
  GRADLE_OPTS: "-Dorg.gradle.jvmargs=-Xmx4g -Dorg.gradle.daemon=false -Dkotlin.incremental=false"

jobs:
  test_containers:
    permissions:
      checks: write # for actions/upload-artifact
    runs-on: ubuntu-latest

`topologySpreadConstraints`, aligning Pod Topology Spread behavior with Inter-Pod Affinity. To prevent breaking existing Pods using `matchLabelKeys`, this scheduler behavior was preserved until v1.34. Upgrades from v1.32 to v1.34 should be done incrementally (v1.32 → v1.33 → v1.34), ensuring Pods created at v1.32 with `matchLabelKeys` are scheduled before reaching v1.34. Controllers relying on `matchLabelKeys` no longer need to handle them directly and can use `labelSelector` instead. The new feature...

             *
             * This is where we recursively invoke the provided andx smb
             * object to write it's parameter words and bytes to our outgoing
             * array. Incedentally when these andx smbs are created they are not
             * necessarily populated with header data because they're not writing
             * the header, only their body. But for whatever reason one might wish

Este código es algo que puedes usar realmente en tu aplicación, guardar los hashes de las contraseñas en tu base de datos, etc.

Vamos a empezar desde donde lo dejamos en el capítulo anterior e incrementarlo.

## Acerca de JWT

JWT significa "JSON Web Tokens".

Es un estándar para codificar un objeto JSON en un string largo y denso sin espacios. Se ve así:

```