# Complete CI/CD Strategy for MMMLabs Common
## Why GitHub + PyPI is the Best Choice
### ✅ **Cloud Agnostic Benefits**
- **Universal Access**: Works from any environment (GCP, Azure, AWS, on-premises)
- **No Vendor Lock-in**: Not tied to any specific cloud provider's artifact registry
- **Industry Standard**: Follows Python ecosystem best practices
- **Better Discoverability**: Public packages are easily found by developers
### ✅ **Deployment Strategy**
```
Development → Testing → Staging → Production
↓ ↓ ↓ ↓
develop Test PyPI GitHub PyPI + Release
branch (beta) Packages (stable)
```
## Complete Workflow Architecture
### 1. **Branch Strategy**
```
main (production) ──→ PyPI releases + GitHub releases
↑
develop (staging) ──→ Test PyPI + beta releases
↑
feature/fix branches ──→ PR validation only
```
### 2. **CI/CD Pipeline Components**
#### **Quality Gates** (Every PR/Push)
- ✅ Multi-Python version testing (3.11, 3.12)
- ✅ Multi-cloud provider testing (GCP, Azure, AWS)
- ✅ Code quality (Black, Flake8, isort, MyPy)
- ✅ Security scanning (Bandit, Safety, CodeQL)
- ✅ Dependency vulnerability checks
- ✅ Test coverage reporting
#### **Automated Publishing**
- 🚀 **Test PyPI**: Auto-publish from `develop` branch
- 🚀 **PyPI**: Auto-publish on version tags (`v*`)
- 🚀 **GitHub Releases**: Auto-create with changelog
- 🚀 **Documentation**: Auto-deploy to GitHub Pages
#### **Dependency Management**
- 🔄 Weekly automated dependency updates (Dependabot)
- 🛡️ Security vulnerability monitoring
- 📊 Dependency review on PRs
### 3. **Installation Methods**
```bash
# Production (from PyPI)
pip install mmmlabs-common[gcp]
# Development (from GitHub)
pip install git+https://github.com/mmmlabs/mmmlabs-common.git
# Specific version
pip install mmmlabs-common==1.2.3[azure]
# All cloud providers
pip install mmmlabs-common[all]
```
### 4. **Environment Configuration**
#### **Multi-Environment Setup**
```bash
# Development
CLOUD_PROVIDER=gcp
GCP_PROJECT_ID=mmmlabs-dev
GCP_STORAGE_BUCKET=mmmlabs-dev-storage
# Production
CLOUD_PROVIDER=azure
AZURE_SUBSCRIPTION_ID=prod-subscription
AZURE_STORAGE_ACCOUNT=mmmLabsProdStorage
```
#### **Service Usage**
```python
# Auto-configured from environment
from mmmlabs import create_cloud_client
client = create_cloud_client()
# Manual configuration
client = create_cloud_client(
provider='gcp',
project_id='my-project',
storage_bucket='my-bucket'
)
```
## Required GitHub Secrets
### **PyPI Publishing**
```bash
PYPI_API_TOKEN # Production PyPI token
TEST_PYPI_API_TOKEN # Test PyPI token
```
### **Cloud Provider Testing** (Optional)
```bash
# GCP
GCP_SA_KEY # Service account JSON
GCP_TEST_PROJECT_ID # Test project ID
# Azure
AZURE_SUBSCRIPTION_ID # Subscription ID
AZURE_TENANT_ID # Tenant ID
AZURE_CLIENT_ID # App registration client ID
AZURE_CLIENT_SECRET # App registration secret
# AWS
AWS_ACCESS_KEY_ID # Access key
AWS_SECRET_ACCESS_KEY # Secret key
```
## Repository Setup Checklist
### **1. Initial Repository Setup**
- [ ] Create repository: `mmmlabs/mmmlabs-common`
- [ ] Set up branch protection rules (main, develop)
- [ ] Configure repository settings and labels
- [ ] Add team members and reviewers
### **2. Code Quality Setup**
- [ ] Copy all workflow files to `.github/workflows/`
- [ ] Set up pre-commit hooks: `pre-commit install`
- [ ] Configure code quality tools (Black, Flake8, etc.)
- [ ] Enable CodeQL security scanning
### **3. Publishing Setup**
- [ ] Create PyPI account and generate API token
- [ ] Create Test PyPI account and generate API token
- [ ] Add secrets to GitHub repository
- [ ] Configure trusted publishing (optional)
### **4. Documentation Setup**
- [ ] Enable GitHub Pages
- [ ] Configure MkDocs for documentation
- [ ] Set up API reference generation
- [ ] Create usage examples and guides
### **5. Testing Setup**
- [ ] Write comprehensive tests
- [ ] Set up test environments for each cloud provider
- [ ] Configure integration tests (optional)
- [ ] Set up code coverage reporting
## Deployment Commands
### **Manual Release** (Emergency)
```bash
# Tag and push for release
git tag -a v1.2.0 -m "Release version 1.2.0"
git push origin v1.2.0
# Manual PyPI upload (if CI fails)
python -m build
python -m twine upload dist/*
```
### **Development Workflow**
```bash
# Feature development
git checkout -b feature/new-cloud-provider
# ... make changes ...
git commit -m "feat(aws): add AWS S3 storage implementation"
git push origin feature/new-cloud-provider
# Create PR to develop
# Release preparation
git checkout develop
git pull origin develop
git checkout -b release/v1.2.0
# ... update version, changelog ...
git commit -m "chore(release): prepare v1.2.0"
# Create PR to main
# Production release
git checkout main
git merge release/v1.2.0
git tag v1.2.0
git push origin main --tags
```
## Monitoring and Maintenance
### **Automated Monitoring**
- 📊 **GitHub Insights**: Track repository activity
- 🔍 **Security Alerts**: Dependabot security updates
- 📈 **Download Statistics**: PyPI download metrics
- 🐛 **Error Tracking**: Integration with error monitoring
### **Regular Maintenance Tasks**
- 🔄 Weekly dependency updates review
- 🧪 Monthly integration test verification
- 📚 Quarterly documentation review
- 🔒 Security audit every 6 months
## Benefits of This Approach
### **For Developers**
- ✅ Easy installation: `pip install mmmlabs-common[gcp]`
- ✅ Clear documentation and examples
- ✅ Consistent API across cloud providers
- ✅ Type hints and IDE support
### **For Operations**
- ✅ Cloud provider flexibility
- ✅ Easy migration between providers
- ✅ Standardized configuration
- ✅ Comprehensive monitoring
### **For Business**
- ✅ Reduced vendor lock-in
- ✅ Lower switching costs
- ✅ Faster development cycles
- ✅ Better compliance options
This CI/CD strategy provides a robust, scalable, and maintainable approach to multi-cloud package development and deployment, ensuring your `mmmlabs-common` package remains truly cloud-agnostic while following industry best practices.
Raw data
{
"_id": null,
"home_page": "https://github.com/mmmlabs/mmmlabs-common",
"name": "mmmlabs-common",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.11",
"maintainer_email": "MMM Labs <info@mmmlabs.ai>",
"keywords": "cloud, gcp, azure, aws, utilities, multi-cloud",
"author": "MMM Labs",
"author_email": "MMM Labs <info@mmmlabs.ai>",
"download_url": "https://files.pythonhosted.org/packages/4e/b5/0429fb8b9eefc0fd41fb4950af79b46217a0022e81cd69ae816ccbbed183/mmmlabs_common-1.1.0.tar.gz",
"platform": null,
"description": "# Complete CI/CD Strategy for MMMLabs Common\n\n## Why GitHub + PyPI is the Best Choice\n\n### \u2705 **Cloud Agnostic Benefits**\n- **Universal Access**: Works from any environment (GCP, Azure, AWS, on-premises)\n- **No Vendor Lock-in**: Not tied to any specific cloud provider's artifact registry\n- **Industry Standard**: Follows Python ecosystem best practices\n- **Better Discoverability**: Public packages are easily found by developers\n\n### \u2705 **Deployment Strategy**\n```\nDevelopment \u2192 Testing \u2192 Staging \u2192 Production\n \u2193 \u2193 \u2193 \u2193\n develop Test PyPI GitHub PyPI + Release\n branch (beta) Packages (stable)\n```\n\n## Complete Workflow Architecture\n\n### 1. **Branch Strategy**\n```\nmain (production) \u2500\u2500\u2192 PyPI releases + GitHub releases\n \u2191\ndevelop (staging) \u2500\u2500\u2192 Test PyPI + beta releases \n \u2191\nfeature/fix branches \u2500\u2500\u2192 PR validation only\n```\n\n### 2. **CI/CD Pipeline Components**\n\n#### **Quality Gates** (Every PR/Push)\n- \u2705 Multi-Python version testing (3.11, 3.12)\n- \u2705 Multi-cloud provider testing (GCP, Azure, AWS)\n- \u2705 Code quality (Black, Flake8, isort, MyPy)\n- \u2705 Security scanning (Bandit, Safety, CodeQL)\n- \u2705 Dependency vulnerability checks\n- \u2705 Test coverage reporting\n\n#### **Automated Publishing**\n- \ud83d\ude80 **Test PyPI**: Auto-publish from `develop` branch\n- \ud83d\ude80 **PyPI**: Auto-publish on version tags (`v*`)\n- \ud83d\ude80 **GitHub Releases**: Auto-create with changelog\n- \ud83d\ude80 **Documentation**: Auto-deploy to GitHub Pages\n\n#### **Dependency Management**\n- \ud83d\udd04 Weekly automated dependency updates (Dependabot)\n- \ud83d\udee1\ufe0f Security vulnerability monitoring\n- \ud83d\udcca Dependency review on PRs\n\n### 3. **Installation Methods**\n\n```bash\n# Production (from PyPI)\npip install mmmlabs-common[gcp]\n\n# Development (from GitHub)\npip install git+https://github.com/mmmlabs/mmmlabs-common.git\n\n# Specific version\npip install mmmlabs-common==1.2.3[azure]\n\n# All cloud providers\npip install mmmlabs-common[all]\n```\n\n### 4. **Environment Configuration**\n\n#### **Multi-Environment Setup**\n```bash\n# Development\nCLOUD_PROVIDER=gcp\nGCP_PROJECT_ID=mmmlabs-dev\nGCP_STORAGE_BUCKET=mmmlabs-dev-storage\n\n# Production \nCLOUD_PROVIDER=azure\nAZURE_SUBSCRIPTION_ID=prod-subscription\nAZURE_STORAGE_ACCOUNT=mmmLabsProdStorage\n```\n\n#### **Service Usage**\n```python\n# Auto-configured from environment\nfrom mmmlabs import create_cloud_client\nclient = create_cloud_client()\n\n# Manual configuration\nclient = create_cloud_client(\n provider='gcp',\n project_id='my-project',\n storage_bucket='my-bucket'\n)\n```\n\n## Required GitHub Secrets\n\n### **PyPI Publishing**\n```bash\nPYPI_API_TOKEN # Production PyPI token\nTEST_PYPI_API_TOKEN # Test PyPI token\n```\n\n### **Cloud Provider Testing** (Optional)\n```bash\n# GCP\nGCP_SA_KEY # Service account JSON\nGCP_TEST_PROJECT_ID # Test project ID\n\n# Azure\nAZURE_SUBSCRIPTION_ID # Subscription ID\nAZURE_TENANT_ID # Tenant ID\nAZURE_CLIENT_ID # App registration client ID\nAZURE_CLIENT_SECRET # App registration secret\n\n# AWS\nAWS_ACCESS_KEY_ID # Access key\nAWS_SECRET_ACCESS_KEY # Secret key\n```\n\n## Repository Setup Checklist\n\n### **1. Initial Repository Setup**\n- [ ] Create repository: `mmmlabs/mmmlabs-common`\n- [ ] Set up branch protection rules (main, develop)\n- [ ] Configure repository settings and labels\n- [ ] Add team members and reviewers\n\n### **2. Code Quality Setup**\n- [ ] Copy all workflow files to `.github/workflows/`\n- [ ] Set up pre-commit hooks: `pre-commit install`\n- [ ] Configure code quality tools (Black, Flake8, etc.)\n- [ ] Enable CodeQL security scanning\n\n### **3. Publishing Setup**\n- [ ] Create PyPI account and generate API token\n- [ ] Create Test PyPI account and generate API token\n- [ ] Add secrets to GitHub repository\n- [ ] Configure trusted publishing (optional)\n\n### **4. Documentation Setup**\n- [ ] Enable GitHub Pages\n- [ ] Configure MkDocs for documentation\n- [ ] Set up API reference generation\n- [ ] Create usage examples and guides\n\n### **5. Testing Setup**\n- [ ] Write comprehensive tests\n- [ ] Set up test environments for each cloud provider\n- [ ] Configure integration tests (optional)\n- [ ] Set up code coverage reporting\n\n## Deployment Commands\n\n### **Manual Release** (Emergency)\n```bash\n# Tag and push for release\ngit tag -a v1.2.0 -m \"Release version 1.2.0\"\ngit push origin v1.2.0\n\n# Manual PyPI upload (if CI fails)\npython -m build\npython -m twine upload dist/*\n```\n\n### **Development Workflow**\n```bash\n# Feature development\ngit checkout -b feature/new-cloud-provider\n# ... make changes ...\ngit commit -m \"feat(aws): add AWS S3 storage implementation\"\ngit push origin feature/new-cloud-provider\n# Create PR to develop\n\n# Release preparation\ngit checkout develop\ngit pull origin develop\ngit checkout -b release/v1.2.0\n# ... update version, changelog ...\ngit commit -m \"chore(release): prepare v1.2.0\"\n# Create PR to main\n\n# Production release\ngit checkout main\ngit merge release/v1.2.0\ngit tag v1.2.0\ngit push origin main --tags\n```\n\n## Monitoring and Maintenance\n\n### **Automated Monitoring**\n- \ud83d\udcca **GitHub Insights**: Track repository activity\n- \ud83d\udd0d **Security Alerts**: Dependabot security updates \n- \ud83d\udcc8 **Download Statistics**: PyPI download metrics\n- \ud83d\udc1b **Error Tracking**: Integration with error monitoring\n\n### **Regular Maintenance Tasks**\n- \ud83d\udd04 Weekly dependency updates review\n- \ud83e\uddea Monthly integration test verification\n- \ud83d\udcda Quarterly documentation review\n- \ud83d\udd12 Security audit every 6 months\n\n## Benefits of This Approach\n\n### **For Developers**\n- \u2705 Easy installation: `pip install mmmlabs-common[gcp]`\n- \u2705 Clear documentation and examples\n- \u2705 Consistent API across cloud providers\n- \u2705 Type hints and IDE support\n\n### **For Operations**\n- \u2705 Cloud provider flexibility\n- \u2705 Easy migration between providers\n- \u2705 Standardized configuration\n- \u2705 Comprehensive monitoring\n\n### **For Business**\n- \u2705 Reduced vendor lock-in\n- \u2705 Lower switching costs\n- \u2705 Faster development cycles\n- \u2705 Better compliance options\n\nThis CI/CD strategy provides a robust, scalable, and maintainable approach to multi-cloud package development and deployment, ensuring your `mmmlabs-common` package remains truly cloud-agnostic while following industry best practices.\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Cloud-agnostic utilities for MMMLabs services",
"version": "1.1.0",
"project_urls": {
"Changelog": "https://github.com/mmmlabs/mmmlabs-common/blob/main/CHANGELOG.md",
"Documentation": "https://mmmlabs.github.io/mmmlabs-common",
"Homepage": "https://github.com/mmmlabs/mmmlabs-common",
"Issues": "https://github.com/mmmlabs/mmmlabs-common/issues",
"Repository": "https://github.com/mmmlabs/mmmlabs-common"
},
"split_keywords": [
"cloud",
" gcp",
" azure",
" aws",
" utilities",
" multi-cloud"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "a342be77a7e8a2824f60552563872a1344ca42902ca803abd97c6130e5a3ed2e",
"md5": "97ae1196f5534e95c67e866826a86a0e",
"sha256": "8262a59d6e9b5f0c8cafbf9bf7077782086fa88b884b60db3192a676e33a3daa"
},
"downloads": -1,
"filename": "mmmlabs_common-1.1.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "97ae1196f5534e95c67e866826a86a0e",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.11",
"size": 11199,
"upload_time": "2025-08-04T01:59:40",
"upload_time_iso_8601": "2025-08-04T01:59:40.966570Z",
"url": "https://files.pythonhosted.org/packages/a3/42/be77a7e8a2824f60552563872a1344ca42902ca803abd97c6130e5a3ed2e/mmmlabs_common-1.1.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "4eb50429fb8b9eefc0fd41fb4950af79b46217a0022e81cd69ae816ccbbed183",
"md5": "3b6ea2f2605b7aa1d04bf4a604be61b3",
"sha256": "0d36801a09de12b0919d03966b33e5c2edd83930235e40665bab5e205e09fc32"
},
"downloads": -1,
"filename": "mmmlabs_common-1.1.0.tar.gz",
"has_sig": false,
"md5_digest": "3b6ea2f2605b7aa1d04bf4a604be61b3",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.11",
"size": 14956,
"upload_time": "2025-08-04T01:59:41",
"upload_time_iso_8601": "2025-08-04T01:59:41.871386Z",
"url": "https://files.pythonhosted.org/packages/4e/b5/0429fb8b9eefc0fd41fb4950af79b46217a0022e81cd69ae816ccbbed183/mmmlabs_common-1.1.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-08-04 01:59:41",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "mmmlabs",
"github_project": "mmmlabs-common",
"github_not_found": true,
"lcname": "mmmlabs-common"
}
JSON
