cloud-governance

PyPI Latest Release Container Repository on Quay Actions StatusCoverage Status Documentation Status python License

Cloud Governance

What is it?

Cloud Governance tool provides a lightweight and flexible framework for deploying cloud management policies focusing on cost optimize and security. We have implemented several pruning policies.
When monitoring the resources, we found that most of the cost leakage is from available volumes, unused NAT gateways, and unattached Public IPv4 addresses (Starting from February 2024, public IPv4 addresses are chargeable whether they are used or not).

Providers Disks NatGateway PublicIp Snapshots InstanceIdle TagResources EC2Stop ocp_cleanup ClusterRun EmptyBucket EmptyRoles
AWS ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Azure ✓ ✓ ✓ ✓ ✓ ✗ ✗ ✗ ✓ ✗ ✗

List of Policies:

AWS Polices!
Azure Polices!
IBM Polices!

Check out policy summary here!

Reference:

Table of Contents

Installation

Download cloud-governance image from quay.io

podman pull quay.io/cloud-governance/cloud-governance

Environment variables configurations:

Key Value Description
AWS_ACCESS_KEY_ID required AWS access key
AWS_SECRET_ACCESS_KEY required AWS Secret key
AWS_DEFAULT_REGION required AWS Region, default set to us-east-2
BUCKET_NAME optional Cloud bucket Name, to store data
policy required check here for policies list
dry_run optional default set to “yes”, supported only two: yes/ no
log_level optional default set to INFO
LDAP_HOST_NAME optional ldap hostnames
es_host optional Elasticsearch Host
es_port optional Elasticsearch Port
es_index optional Elasticsearch Index, to push the data. default to cloud-governance-es-index
GOOGLE_APPLICATION_CREDENTIALS optional GCP creds, to access google resources. i.e Sheets, Docs
AZURE_CLIENT_SECRET required Azure Client Secret
AZURE_TENANT_ID   Azure Tenant Id
AZURE_ACCOUNT_ID   Azure Account Id
AZURE_CLIENT_ID   Azure Client Id
GCP_DATABASE_NAME   GCP BigQuery database name, used to generate cost reports
GCP_DATABASE_TABLE_NAME   GCP BigQuery TableName, used to generate cost reports
IBM_API_USERNAME   IBM Account Username
IBM_API_KEY   IBM Account Classic Infrastructure key
IBM_CLOUD_API_KEY   IBM Cloud API Key
IBM_CUSTOM_TAGS_LIST   pass string with separated with comma. i.e: “cost-center: test, env: test”

AWS Configuration

Create IAM User with Read/Delete Permissions and create S3 bucket.

IBM Configuration

Run Policies

AWS

  podman run --rm --name cloud-governance \
  -e policy="zombie_cluster_resource" \
  -e AWS_ACCESS_KEY_ID="$AWS_ACCESS_KEY_ID" \
  -e AWS_SECRET_ACCESS_KEY="$AWS_SECRET_ACCESS_KEY" \
  -e AWS_DEFAULT_REGION="us-east-2" \
  -e dry_run="yes"  \
   "quay.io/cloud-governance/cloud-governance"
AWS_ACCESS_KEY_ID: ""
AWS_SECRET_ACCESS_KEY: ""
AWS_DEFAULT_REGION: "us-east-2"
policy: "zombie_cluster_resource"
dry_run: "yes"
es_host: ""
es_port: ""
es_index: ""
  podman run --rm --name cloud-governance \
  -v "env.yaml":"/tmp/env.yaml" \
  --net="host" \
   "quay.io/cloud-governance/cloud-governance"

Run Policy Using Pod

Run as a pod job via OpenShift

Job Pod: cloud-governance.yaml

Configmaps: cloud_governance_configmap.yaml

Quay.io Secret: quayio_secret.sh

AWS Secret: cloud_governance_secret.yaml

* Need to convert secret key to base64 [run_base64.py](/cloud-governance/pod_yaml/run_base64.py)

Pytest

Cloud-governance integration tests using pytest
python3 -m venv governance
source governance/bin/activate
(governance) $ python -m pip install --upgrade pip
(governance) $ pip install coverage
(governance) $ pip install pytest
(governance) $ git clone https://github.com/redhat-performance/cloud-governance
(governance) $ cd cloud-governance
(governance) $ coverage run -m pytest
(governance) $ deactivate
rm -rf *governance*

Post Installation

Delete cloud-governance image

sudo podman rmi quay.io/cloud-governance/cloud-governance