OkHttp Container Tests
======================

This module contains tests against other services

The CI folder contains the configuration files and scripts used to build, test,
and deploy TensorFlow. This folder is typically used by continuous integration
(CI) tools to build and test TensorFlow whenever there is a change to the
code. This folder is broken into subfolders that represent the level of support

## Liveness probe

This probe always responds with '200 OK'. Only fails if 'etcd' is configured and unreachable. When liveness probe fails, Kubernetes like platforms restart the container.

```
livenessProbe:
  httpGet:
    path: /minio/health/live
    port: 9000
    scheme: HTTP
  initialDelaySeconds: 120
  periodSeconds: 30
  timeoutSeconds: 10
  successThreshold: 1

## Cloud Scale Deployment

```

### License

    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
    You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

    Unless required by applicable law or agreed to in writing, software
    distributed under the License is distributed on an "AS IS" BASIS,

```
--ftp="address=:3021"
```

### Change FTP passive port range

By default FTP requests OS to give a free port automatically, however you may want to restrict
this to specific ports in certain restricted environments via

```
--ftp="passive-port-range=30000-40000"
```

### Change default SFTP port

Default port '8022' can be changed via

```
--sftp="address=:3022"
```

## Install

See the [TensorFlow install guide](https://www.tensorflow.org/install) for the
[pip package](https://www.tensorflow.org/install/pip), to
[enable GPU support](https://www.tensorflow.org/install/gpu), use a
[Docker container](https://www.tensorflow.org/install/docker), and
[build from source](https://www.tensorflow.org/install/source).

To install the current release, which includes support for

#   and scripts on Linux create a persistent container called "tf"
#   which mounts your TensorFlow directory into the container.
#
#   Important: because the container is persistent, you cannot change TFCI
#   variables in between script executions. To forcibly remove the
#   container and start fresh, run "docker rm -f tf". Removing the container
#   destroys some temporary bazel data and causes longer builds.
#

                                   WARNING!!
     ** THIS FILE MAY CONTAIN SENSITIVE INFORMATION ABOUT YOUR ENVIRONMENT ** 
     ** PLEASE INSPECT CONTENTS BEFORE SHARING IT ON ANY PUBLIC FORUM **
*********************************************************************************
mc: Health data saved to dc-11-health_20200321053323.json.gz
```

The gzipped output contains debugging information for your system

## Decoding Metadata

- AWS S3's [reserved keywords](https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-keyword-list.html) list is not yet respected.