# Query Parameters and String Validations { #query-parameters-and-string-validations }

**FastAPI** allows you to declare additional information and validation for your parameters.

Let's take this application as example:

{* ../../docs_src/query_params_str_validations/tutorial001_py310.py hl[7] *}

## Server Machine and Server Program { #server-machine-and-server-program }

There's a small detail about names to keep in mind. 💡

The word "**server**" is commonly used to refer to both the remote/cloud computer (the physical or virtual machine) and also the program that is running on that machine (e.g. Uvicorn).

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

## Header Parameters with a Pydantic Model { #header-parameters-with-a-pydantic-model }

Declare the **header parameters** that you need in a **Pydantic model**, and then declare the parameter as `Header`:

This notification target supports two formats: _namespace_ and _access_.

#### client-go:

- kube-proxy now reconciles Service/Endpoint changes with conntrack table and cleans up only stale UDP flow entries ([#127318](https://github.com/kubernetes/kubernetes/pull/127318), [@aroradaman](https://github.com/aroradaman)) [SIG Network and Windows]

 * the operation and the desired access bits are compared to the SID
 * and access mask of each ACE. If the SID matches, the allow/deny flags
 * and access mask are considered. If the ACE is a "deny"
 * ACE and <i>any</i> of the desired access bits match bits in the access
 * mask of the ACE, the whole access check fails. If the ACE is an "allow"
 * ACE and <i>all</i> of the bits in the desired access bits match bits in

Docker Compose allows defining and running single host, multi-container Docker applications.

With Compose, you use a Compose file to configure MinIO services. Then, using a single command, you can create and launch all the Distributed MinIO instances from your configuration. Distributed MinIO instances will be deployed in multiple containers on the same host. This is a great way to set up development, testing, and staging environments, based on Distributed MinIO.

 * the "running" state need to perform a periodic task. Subclasses can implement {@link #startUp},
 * {@link #shutDown} and also a {@link #runOneIteration} method that will be executed periodically.
 *
 * <p>This class uses the {@link ScheduledExecutorService} returned from {@link #executor} to run

### Windows