### Docker

We provide Docker images on [ghcr.io](https://github.com/orgs/codelibs/packages). We also provide a Docker Compose (YAML) file in [this repository](https://github.com/codelibs/docker-fess/tree/master/compose). 

### Browser UI

- Search UI: http://localhost:8080/

![Search UI](https://fess.codelibs.org/_images/fess_search_result1.png)

Cette image est dotée d'un mécanisme d'"auto-tuning", de sorte qu'il vous suffit d'ajouter votre code pour obtenir automatiquement des performances très élevées. Et sans faire de sacrifices.

Mais vous pouvez toujours changer et mettre à jour toutes les configurations avec des variables d'environnement ou des fichiers de configuration.

/// tip | "Astuce"

MinIO server allows streaming compression to ensure efficient disk space usage.
Compression happens inflight, i.e objects are compressed before being written to disk(s).
MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2)
streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,

		return nil, "", err
	}
	keyInfos := make([]madmin.KMSKeyInfo, len(names))
	for i := range names {
		keyInfos[i].Name = names[i]
	}
	return keyInfos, continueAt, nil
}

// CreateKey tries to create a new key at the KMS with the
// given key ID.
//
// If the a key with the same keyID already exists then
// CreateKey returns kes.ErrKeyExists.

By default, MinIO shards the objects across N/2 data and N/2 parity drives. Though, you can use [storage classes](https://github.com/minio/minio/tree/master/docs/erasure/storage-class) to use a custom configuration. We recommend N/2 data and parity blocks, as it ensures the best protection from drive failures.

Despite this expectation in SotW, due to a quirk in the protocol we can actually enable one of our most important optimizations. XDS types form a tree, with CDS and LDS the root of the tree for Envoy. For root types, we *must* always generate the full set of resources - missing resources are treated as deletions.

    Class<?> frqC = FinalizableReferenceQueue.class;
    Class<?> sepFrqC = sepLoader.loadClass(frqC.getName());
    assertNotSame(frqC, sepFrqC);
    // Check the assumptions above.

    // FRQ tries to load the Finalizer class (for the reference-collecting thread) in a few ways.
    // If the class is accessible to the system ClassLoader (ClassLoader.getSystemClassLoader())

interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces

          <type>String</type>
          <description>
            Description with the reason of Mojo deprecation. Similar to Javadoc {@code @deprecated}
            This will trigger a warning when a user tries to use a Mojo marked as deprecated.
          </description>
        </field>
        <field>
          <name>configurator</name>
          <version>1.0.0+</version>
          <type>String</type>

        return this.pipe;
    }


    @Override
    public SmbTreeHandleImpl ensureTreeConnected () throws CIFSException {
        if ( this.treeHandle == null ) {
            // extra acquire to keep the tree alive
            this.treeHandle = this.pipe.ensureTreeConnected();
        }
        return this.treeHandle.acquire();
    }


    public String getUncPath () {
        return this.uncPath;
    }