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https://github.com/RedHatQE/cloudwash

A cloud resources cleanup utility tool
https://github.com/RedHatQE/cloudwash

aws azure cleanup cloud gcp python utility

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A cloud resources cleanup utility tool

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README

        

# Cloudwash

## Introduction

`cloudwash` is a library written in python that can be used to monitor and remove the unused cloud resources in public and private cloud providers.

Most importantly, `cloudwash` provides the CLI utility called '`swach`' that can be used to fire commands to cleanup the resources on cloud.

cloudwash supports following cloud providers:

| Cloud Providers | vms | nics | discs | images | pips | stacks |
|------------------|--------|---------|-----------|----------|---------|----------|
| Amazon EC2 | ✓| ✓ | ✓ | ✓ | ✓| ✓ |
| Microsoft Azure | ✓| ✓ | ✓ | ✓ | ✓| **NA** |
| Google Cloud | ✓| ✓ | ✓ | ✗ | ✗| **NA** |
| VMWare | ✓| ✓ | ✓ | ✗ | **NA** | **NA** |

* RedHat Enterprize Virtualization Manager - RHEV (_Support yet To be added_)
* RedHat Openstack (_Support yet To be added_)
* OCP Clusters deplyed on Public clouds (_Support yet To be added_)

NOTE: You can use `--all` flag with all the cloud providers to clean all supported resources.

The list of resource types it helps to clean could be found under settings.yaml.template](https://github.com/RedHatQE/cloudwash/blob/master/settings.yaml.template) file for individual cloud providers along with cleanup criteria.

## Installation

User can run `cloudwash` multiple ways:
- [PiP Package Installation](#pip-package-installation)
- [Docker Image Installation](#docker-image-installation)
- [OC BuildConfig Installation](#oc-buildconfig-installation)

### PiP Package Installation

For Linux Users, Depending on the distribution you are using, you may need to install following packages
(or similar for your distribution of linux):

* libcurl-devel
* openssl-devel
* libxml2-devel
* libxml2-static
* gcc

Pycurl is a one of the dependent package of `cloudwash` that wants you to install above dependencies.
Read more about it http://pycurl.io/docs/latest/install.html

Installation:

```
$ mkdir ~/cloudwash && cd ~/cloudwash
$ pip install cloudwash
```

### Docker Image Installation

#### From Container image registry
The [container image](https://quay.io/repository/redhatqe/cloudwash) for cloudwash is available in quay. This image provides the cloudwash installed from released python package with release version tags. Latest tag always points to the latest released version tag.

#### Build from local DockerFile
This github repo contains a DockerFile, use any container building service to build from the dockerfile:

Build container from `Dockerfile.dev` that should build a container from the cloudwash github master branch giving the access to pre-released features.

### OC BuildConfig Installation
This github repo provides the ready to use BuildConfig on OCP / Kubernetes. The build config should create buildconfig to build master branch based container image. Use the image to build cloudwash pod.

## Configuration

The `cloudwash` uses the `DynaConf` configuration python module to access the data in `settings.yaml` or conf directory settings, it also allows an unique way of declaring secrets via Environment variables instead of putting in plain `settings.yaml`.

e.g: The Azure password field can be set via environment variable by exporting the environment variable

```
# export CLEANUP_PROVIDERS__AZURE__PASSWORD = myPa$$worb"
```

#### Configuration with PyPi package:

Copy/Download `settings.yaml.template` to local `~/cloudwash` directory as `settings.yaml`, update it with the cloud provider credentials and other configuration details for successful resource reporting and cleanup.

#### Configuration with cloudwash container images:

_Either_ - The docker images have `settings.yaml` added from Dockerfile. Build the container from the image, access the container and update the `settings.yaml` with real values and commit the changes to the image. Use the commited image for cleanup activity.

_Or_ - Export/Set the environment variables for all or only sensitive credentials as shown above. The dynaconf in cloudwash container should read these credentials from environment variable.

## Usage Examples

* Cleanup Help:

```
# swach --help

Usage: swach [OPTIONS] COMMAND [ARGS]...

A Cleanup Utility to remove cloud resources from cloud Providers!

Options:
-d, --dry Only show what will be removed from Providers!
--help Show this message and exit.

Commands:
azure Cleanup Azure provider
aws Cleanup Amazon provider
gce Cleanup GCE provider
openstack Cleanup OSP provider
rhev Cleanup RHEV provider
vmware Cleanup VMWare provider
```

* Cleanup Cloud Provider help:

```
# swach azure --help

Usage: swach azure [OPTIONS]

Cleanup Azure provider

Options:
--all Remove all unused Resources from the provider
--all_rg Remove resource group only if all resources are older than SLA
--nics Remove only unused NICs from the provider
--discs Remove only unused DISCs from the provider
--vms Remove only unused VMs from the provider
--pips Remove only PiPs from the provider
--help Show this message and exit.

```

* Cleanup Dry Run (Monitor only mode using option `-d`):

```
# swach -d azure --all

<<<<<<< Running the cleanup script in DRY RUN mode >>>>>>>
The AZURE providers settings are initialized and validated !

=========== DRY SUMMARY ============

VMs:
Deletable: ['test-bvhoduliam']
Stoppable: ['foremanqe-nightly2']
DISCs:
Deletable: ['test-bvhoduliam-osdisk']
NICs:
Deletable: ['test-axodawttrw-nic0']
PIPs:
Deletable: ['test-axodawttrw-pip0']
====================================
```

* Actual Cleanup Run:

```
# swach azure --all

<<<<<<< Running the cleanup script in ACTION mode >>>>>>>
The AZURE providers settings are initialized and validated !

Stopped [] and removed ['test-bvhoduliam'] VMs from Azure Cloud.
Removed following and all unused nics from Azure Cloud.
['test-axodawttrw-nic0']
Removed following and all unused discs from Azure Cloud.
['test-bvhoduliam-osdisk']
Removed following and all unused pips from Azure Cloud.
['test-axodawttrw-pip0']
```

### [How to run the cloudwash setup locally using Minikube](https://github.com/RedHatQE/cloudwash/blob/master/Docs/Run_cloudwash_locally.md)