[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

[@devinfra](https://github.com/orgs/tensorflow/teams/devinfra)

********************************************************************************

A directory for build and CI related scripts and jobs managed by the TensorFlow

	[http.Request]                     # symbol documentation; auto-linked as in Go doc strings
	[#12345](/issue/12345)             # GitHub issues
	[CL 6789](/cl/6789)                # Gerrit changelists

## For the release team

At the start of a release development cycle, the contents of `next` should be deleted
and replaced with those of `initial`. From the repo root:

    > cd doc
    > rm -r next/*
    > cp -r initial/* next

researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

# generated artifacts like .whl files, and "script.log", from the script.
# Note that files created under Docker will be owned by "root".
ls build_output
```

## Contribution & Maintenance

The TensorFlow team does not yet have guidelines in place for contributing to
this directory. We are working on it. Please join a TF SIG Build meeting (see:
bit.ly/tf-sig-build-notes) if you'd like to discuss the future of contributions.

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

## Sponsors

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