- [Database](https://github.com/codelibs/fess-ds-db)
 - [Dropbox](https://github.com/codelibs/fess-ds-dropbox)
 - [Elasticsearch](https://github.com/codelibs/fess-ds-elasticsearch)
 - [Git](https://github.com/codelibs/fess-ds-git)
 - [Gitbucket](https://github.com/codelibs/fess-ds-gitbucket)
 - [G Suite](https://github.com/codelibs/fess-ds-gsuite)
 - [JSON](https://github.com/codelibs/fess-ds-json)

Und dann können sie es noch einmal versuchen, wohl wissend, dass es wahrscheinlich eher etwas mit `stanleyjobsox` als mit `johndoe` zu tun hat.

#### Ein „professioneller“ Angriff

Und Sie können auch Validierungen für Zahlen deklarieren:

* `gt`: `g`reater `t`han – größer als
* `ge`: `g`reater than or `e`qual – größer oder gleich
* `lt`: `l`ess `t`han – kleiner als
* `le`: `l`ess than or `e`qual – kleiner oder gleich

!!! info
    `Query`, `Path`, und andere Klassen, die Sie später kennenlernen, sind Unterklassen einer allgemeinen `Param`-Klasse.

  // +optional
  optional string reason = 2;

  // AuditAnnotations will be added to the attributes object of the
  // admission controller request using 'AddAnnotation'.  The keys should
  // be prefix-less (i.e., the admission controller will add an
  // appropriate prefix).
  // +optional
  map<string, string> auditAnnotations = 3;

  // It must be greater than zero
  optional int32 value = 2;

  // periodSeconds specifies the window of time for which the policy should hold true.
  // PeriodSeconds must be greater than zero and less than or equal to 1800 (30 min).
  optional int32 periodSeconds = 3;
}

// HPAScalingRules configures the scaling behavior for one direction.

The `controllers` package offers a variety of helpers for writing controllers.
These operate in a similar manner as [`controller-runtime`](https://github.com/kubernetes-sigs/controller-runtime) but are *far* smaller and less abstract.

With a few exceptions, Istio controllers typically are split in two phases: construction and running.

So we create a new `dict`, that contains the key-value pairs from `note.dict()` with:

```Python
{**note.dict()}
```

`**note.dict()` "unpacks" the key value pairs directly, so, `{**note.dict()}` would be, more or less, a copy of `note.dict()`.

And then, we extend that copy `dict`, adding another key-value pair: `"id": last_record_id`:

```Python
{**note.dict(), "id": last_record_id}
```

{% endfor %}
{% endif %}

## About the data - technical details

The main intention of this page is to highlight the effort of the community to help others.

Especially including efforts that are normally less visible, and in many cases more arduous, like helping others with questions and reviewing Pull Requests with translations.

    * Normally, a token is set to expire after some time.
        * So, the user will have to log in again at some point later.
        * And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases).
* The frontend stores that token temporarily somewhere.
* The user clicks in the frontend to go to another section of the frontend web app.

An interesting detail is that the percentage of the **CPU used** by each process can **vary** a lot over time, but the **memory (RAM)** normally stays more or less **stable**.

If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).