Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space.

### Solution

#### Figure 2 - KMS key hierarchy

```

If you think you have found a bug, please file an issue in the [Maven Issue Tracker][jira].

Documentation
-------------

More information can be found on [Apache Maven Homepage][maven-home].
Questions related to the usage of Maven should be posted on
the [Maven User List][users-list].


Where can I get the latest release?
-----------------------------------

[routing rules](https://istio.io/latest/docs/reference/config/networking/) into proxy specific configuration.

    - [security](security/). This directory contains [security](https://istio.io/latest/docs/concepts/security/) related code,
including Citadel (acting as Certificate Authority), citadel agent, etc.

- [istio/proxy](https://github.com/istio/proxy). The Istio proxy contains

stores such as MinIO. MapReduce workloads typically interact with object stores in the same way they do with HDFS. These workloads rely on HDFS atomic rename functionality to complete writing data to the datastore. Object storage operations are atomic by nature and they do not require/implement rename API. The default S3A committer emulates renames through copy and delete APIs. This interaction pattern causes significant loss of performance because of the write amplification. _Netflix_, for example,...

# DevInfra CI Directory

> **Warning** This folder is still under construction. It is part of an ongoing
> effort to improve the structure of CI and build related files within the
> TensorFlow repo. This warning will be removed when the contents of this
> directory are stable and appropriate documentation around its usage is in
> place.

Maintainer: TensorFlow DevInfra

Issue Reporting: File an issue against this repo and tag

MinIO server exposes monitoring data over endpoints. Monitoring tools can pick the data from these endpoints. This document lists the monitoring endpoints and relevant documentation.

## Healthcheck Probe

MinIO server has two healthcheck related un-authenticated endpoints, a liveness probe to indicate if server is responding, cluster probe to check if server can be taken down for maintenance.

- Liveness probe available at `/minio/health/live`

Regression Test
===============

A gradle module for running Regression tests on a device, emulator or JVM.

1. Add an Emulator named `pixel5`, if you don't already have one

```
$ sdkmanager --install "system-images;android-29;google_apis;x86"
$ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86"
```

# TensorFlow continuous integration

> **Warning** This folder is still under construction. It is part of an ongoing
> effort to improve the structure of CI and build related files within the
> TensorFlow repo. This warning will be removed when the contents of this
> directory are stable and appropriate documentation around its usage is in
> place.

Maintainer: TensorFlow DevInfra

| put                 | yes       |
| ls                  | yes       |
| mkdir               | yes       |
| rmdir               | yes       |
| delete              | yes       |
| append              | no        |
| rename              | no        |

MinIO supports following FTP/SFTP based protocols to access and manage data.

- Secure File Transfer Protocol (SFTP) – Defined by the Internet Engineering Task Force (IETF) as an