These examples run the server program (e.g Uvicorn), starting **a single process**, listening on all the IPs (`0.0.0.0`) on a predefined port (e.g. `80`).

This is the basic idea. But you will probably want to take care of some additional things, like:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

  // +listType=atomic
  // +optional
  repeated NamedRuleWithOperations resourceRules = 3;

  // ExcludeResourceRules describes what operations on what resources/subresources the ValidatingAdmissionPolicy should not care about.
  // The exclude rules take precedence over include rules (if a resource matches both, it is excluded)
  // +listType=atomic
  // +optional
  repeated NamedRuleWithOperations excludeResourceRules = 4;

  // in-cluster DNS as that would be a layering violation). `host` may
  // also be an IP address.
  //
  // Please note that using `localhost` or `127.0.0.1` as a `host` is
  // risky unless you take great care to run this webhook on all hosts
  // which run an apiserver which might need to make calls to this
  // webhook. Such installs are likely to be non-portable, i.e., not easy
  // to turn up in a new cluster.
  //

- Reload() of MinIO server arguments without fully restarting the process.

- Expanding 1 node at a time by automating the process of creating a new pool
  and decommissioning to provide a functionality that smaller deployments

}

// ResourceQuotaSpec defines the desired hard limits to enforce for Quota.
message ResourceQuotaSpec {
  // hard is the set of desired hard limits for each named resource.
  // More info: https://kubernetes.io/docs/concepts/policy/resource-quotas/
  // +optional
  map<string, k8s.io.apimachinery.pkg.api.resource.Quantity> hard = 1;

    ```

=== "Python 3.8+"

    ```Python hl_lines="22"
    {!> ../../../docs_src/response_model/tutorial003.py!}
    ```

So, **FastAPI** will take care of filtering out all the data that is not declared in the output model (using Pydantic).

### `response_model` or Return Type

* Startup and shutdown events.
* Test client built on HTTPX.
* CORS, GZip, Static Files, Streaming responses.
* Session and Cookie support.
* 100% test coverage.
* 100% type annotated codebase.
* Few hard dependencies.

Starlette is currently the fastest Python framework tested. Only surpassed by Uvicorn, which is not a framework, but a server.

Starlette provides all the basic web microframework functionality.

build:cuda_clang --config=tensorrt
build:cuda_clang --action_env=TF_CUDA_CLANG="1"
build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX

- Kube-controller-manager: the dynamic resource controller steps in when a pod got created such that the scheduler ignores it (i.e. spec.nodeName is set) and then takes care of triggering delayed resource claim allocation and/or reserving a claim for the pod. ([#118209](https://github.com/kubernetes/kubernetes/pull/118209), [@pohly](https://github.com/pohly)) [SIG API Machinery, Apps, Auth, Node and Testing]

  // in-cluster DNS as that would be a layering violation). `host` may
  // also be an IP address.
  //
  // Please note that using `localhost` or `127.0.0.1` as a `host` is
  // risky unless you take great care to run this webhook on all hosts
  // which run an apiserver which might need to make calls to this
  // webhook. Such installs are likely to be non-portable, i.e., not easy
  // to turn up in a new cluster.
  //