platforms/core-execution/build-cache-base/                  @gradle/bt-execution @gradle/dv-integrations-team
platforms/core-execution/build-cache-http/                  @gradle/bt-execution @gradle/dv-integrations-team
platforms/core-execution/build-cache-packaging/             @gradle/bt-execution @gradle/dv-integrations-team

[Grafana](https://grafana.com/) allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture.

## Prerequisites

- Prometheus and MinIO configured as explained in [document here](https://github.com/minio/minio/blob/master/docs/metrics/prometheus/README.md).

- Better security: separate Istio components reside in different namespaces, allowing different teams or
roles to manage different parts of Istio. For example, a security team would maintain the
root CA and policy, a telemetry team may only have access to Prometheus,
and a different team may maintain the control plane components (which are highly security sensitive).

The install is organized in 'environments' - each environment consists of a set of components

just getting started, GitHub has a
[how-to](https://help.github.com/articles/using-pull-requests/).

TensorFlow team members will be assigned to review your pull requests. Once the
pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After

Grafana Tempo. - author: Mikhail Rozhkov, Elena Samuylova author_link: https://www.linkedin.com/in/mnrozhkov/ link: https://www.evidentlyai.com/blog/fastapi-tutorial title: ML serving and monitoring with FastAPI and Evidently - author: Visual Studio Code Team author_link: https://code.visualstudio.com/ link: https://code.visualstudio.com/docs/python/tutorial-fastapi title: FastAPI Tutorial in Visual Studio Code - author: Apitally author_link: https://apitally.io link: https://blog.apitally.io/fastapi-a...

<small>* estimation based on tests on an internal development team, building production applications.</small>

## Sponsors

<!-- sponsors -->

#     mkl:          Enable full mkl support.
#     nogcp:        Disable GCS support.
#     nonccl:       Disable nccl support.
#
#
# Remote build execution options (only configured to work with TF team projects for now.)
#     rbe_base:  General RBE options shared by all flavors.
#     rbe_linux: General RBE options used on all linux builds.

        has been moved to the GitHub repository
        [keras-team/keras](http://github.com/keras-team/keras). The API
        endpoints for `tf.keras` stay unchanged, but are now backed by the
        `keras` PIP package. All Keras-related PRs and issues should now be
        directed to the GitHub repository.
        [keras-team/keras](http://github.com/keras-team/keras).

### Internal

* 👷 Update issue manager workflow . PR [#12457](https://github.com/fastapi/fastapi/pull/12457) by [@alejsdev](https://github.com/alejsdev).
* 🔧 Update team, include YuriiMotov 🚀. PR [#12453](https://github.com/fastapi/fastapi/pull/12453) by [@tiangolo](https://github.com/tiangolo).

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