A comprehensive collection of Python scripts and tools for advanced DevOps practices, covering Infrastructure Automation, Configuration Management, Monitoring, Orchestration, Containerization, and Infrastructure as Code.
- Installation
- Usage
- Infrastructure Automation
- Configuration Management
- Monitoring and Logging
- Container Orchestration
- Containerization
- Infrastructure as Code (IaC)
- Advanced DevOps Topics
- CI/CD Pipeline Integration
- Security and Compliance
- Performance Optimization
- Contributing
- License
# Clone the repository
git clone https://github.com/Luckydooda/python-devops-examples.git
cd python-devops-examples
# Create virtual environment
python -m venv devops-env
source devops-env/bin/activate # On Windows: devops-env\Scripts\activate
# Install dependencies
pip install -r requirements.txtEach directory contains specific examples with detailed documentation. Navigate to the respective folders to explore:
# Run infrastructure automation scripts
python infrastructure/aws_ec2_manager.py
# Execute configuration management tasks
python config_management/ansible_playbook_runner.py
# Start monitoring services
python monitoring/prometheus_exporter.py- EC2 Instance Management: Automated provisioning, scaling, and termination
- S3 Bucket Operations: Lifecycle management and automated backups
- VPC Configuration: Network setup and security group management
- Lambda Functions: Serverless automation workflows
# Example: EC2 Auto-scaling
import boto3
from infrastructure.aws_manager import EC2Manager
ec2_manager = EC2Manager()
ec2_manager.create_auto_scaling_group(
name="web-servers",
min_size=2,
max_size=10,
desired_capacity=3
)- Azure Resource Management: ARM templates and resource groups
- Google Cloud Platform: Compute Engine and Kubernetes Engine
- Terraform Integration: Cross-cloud infrastructure provisioning
- Playbook Automation: Dynamic inventory and role-based deployments
- Vault Management: Secure credential handling
- Custom Modules: Extended functionality for specific use cases
# Example: Dynamic Ansible Inventory
from config_management.ansible_dynamic import DynamicInventory
inventory = DynamicInventory()
inventory.generate_from_aws_tags({
'Environment': 'production',
'Role': 'web-server'
})- Jinja2 Templating: Dynamic configuration generation
- Environment-specific Configs: Dev, staging, production configurations
- Secret Management: Integration with HashiCorp Vault and AWS Secrets Manager
- Custom Metrics: Application and infrastructure monitoring
- Alerting Rules: Automated incident response
- Grafana Dashboards: Visualization and reporting
# Example: Custom Prometheus Exporter
from monitoring.prometheus_exporter import CustomExporter
from prometheus_client import start_http_server
exporter = CustomExporter()
start_http_server(8000)
exporter.collect_application_metrics()- Elasticsearch Indexing: Log aggregation and search
- Logstash Pipelines: Data transformation and enrichment
- Kibana Visualizations: Real-time dashboard creation
- Jaeger Integration: Request tracing across microservices
- OpenTelemetry: Standardized observability data collection
- Cluster Provisioning: Automated cluster setup and configuration
- Deployment Strategies: Blue-green, canary, and rolling deployments
- Resource Management: CPU, memory, and storage optimization
- Service Mesh: Istio integration for advanced traffic management
# Example: Kubernetes Deployment Automation
from orchestration.k8s_manager import KubernetesManager
k8s = KubernetesManager()
k8s.deploy_application(
name="microservice-api",
image="myapp:v1.2.3",
replicas=3,
strategy="rolling-update"
)- Service Management: Multi-node container orchestration
- Load Balancing: Automated traffic distribution
- Secret and Config Management: Secure deployment practices
- Multi-stage Builds: Minimized image sizes
- Security Scanning: Vulnerability assessment and mitigation
- Registry Management: Private registry setup and maintenance
# Example: Optimized Python Application Dockerfile
FROM python:3.11-slim as builder
WORKDIR /app
COPY requirements.txt .
RUN pip install --user -r requirements.txt
FROM python:3.11-slim
WORKDIR /app
COPY --from=builder /root/.local /root/.local
COPY . .
EXPOSE 8000
CMD ["python", "app.py"]- Image Hardening: Minimal base images and security best practices
- Runtime Security: Container escape prevention and monitoring
- Compliance Scanning: NIST and CIS benchmark adherence
- Reusable Components: Standardized infrastructure patterns
- State Management: Remote state and locking mechanisms
- Provider Integration: AWS, Azure, GCP, and Kubernetes
# Example: Terraform Automation
from iac.terraform_manager import TerraformManager
tf = TerraformManager()
tf.plan_infrastructure("environments/production")
tf.apply_changes(auto_approve=False)- Stack Management: Automated AWS resource provisioning
- Parameter Injection: Dynamic configuration management
- Cross-stack References: Complex infrastructure dependencies
- Python-native IaC: Infrastructure definition using familiar syntax
- Cloud-agnostic Deployments: Multi-cloud resource management
- ArgoCD Integration: Kubernetes application deployment
- Flux Configuration: Continuous deployment workflows
- Git-based Operations: Infrastructure and application synchronization
- Chaos Monkey: Automated failure injection
- Resilience Testing: System reliability validation
- Disaster Recovery: Automated backup and restoration procedures
# Example: Chaos Engineering
from advanced.chaos_engineering import ChaosMonkey
chaos = ChaosMonkey()
chaos.random_pod_termination(
namespace="production",
probability=0.1
)- Istio Configuration: Traffic management and security policies
- Envoy Proxy: Load balancing and circuit breaking
- Observability Integration: Distributed tracing and metrics collection
- Pipeline as Code: Jenkinsfile-based build definitions
- Plugin Management: Automated plugin installation and configuration
- Distributed Builds: Agent management and workload distribution
- Workflow Automation: Event-driven CI/CD pipelines
- Custom Actions: Reusable workflow components
- Security Scanning: Automated vulnerability assessment
- Runner Management: Self-hosted and cloud-based execution
- Pipeline Optimization: Caching and parallelization strategies
- Environment Management: Deployment approval workflows
- SAST/DAST Tools: Static and dynamic security analysis
- Dependency Scanning: Vulnerability detection in third-party libraries
- Container Security: Image scanning and runtime protection
# Example: Security Scanning Integration
from security.scanner import SecurityScanner
scanner = SecurityScanner()
results = scanner.scan_container_image("myapp:latest")
scanner.generate_compliance_report(results)- PCI DSS: Payment card industry compliance
- HIPAA: Healthcare data protection
- SOX: Financial reporting compliance
- GDPR: Data privacy and protection
- APM Integration: New Relic, Datadog, and AppDynamics
- Custom Metrics: Business-specific performance indicators
- Alerting Strategies: Proactive issue detection and response
- Cost Management: Resource rightsizing and optimization
- Auto-scaling: Demand-based resource allocation
- Performance Tuning: Database and application optimization
- Linting and Formatting: Black, flake8, and mypy integration
- Testing Strategies: Unit, integration, and end-to-end testing
- Code Reviews: Automated and manual review processes
- API Documentation: OpenAPI/Swagger integration
- Infrastructure Documentation: Architecture decision records (ADRs)
- Runbook Creation: Operational procedures and troubleshooting guides
python-devops-examples/
├── infrastructure/
│ ├── aws/
│ ├── azure/
│ ├── gcp/
│ └── terraform/
├── config_management/
│ ├── ansible/
│ ├── puppet/
│ └── chef/
├── monitoring/
│ ├── prometheus/
│ ├── grafana/
│ └── elk_stack/
├── orchestration/
│ ├── kubernetes/
│ ├── docker_swarm/
│ └── nomad/
├── containerization/
│ ├── docker/
│ ├── podman/
│ └── buildah/
├── iac/
│ ├── terraform/
│ ├── pulumi/
│ └── cloudformation/
├── security/
│ ├── scanning/
│ ├── compliance/
│ └── secrets_management/
├── cicd/
│ ├── jenkins/
│ ├── github_actions/
│ └── gitlab_ci/
└── advanced/
├── gitops/
├── chaos_engineering/
└── service_mesh/
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
- Follow PEP 8 style guidelines
- Include comprehensive documentation
- Add unit tests for new functionality
- Update README for new examples
- Python 3.8+
- Docker 20.10+
- Kubernetes 1.20+
- Terraform 1.0+
- Ansible 2.9+
See requirements.txt for detailed Python dependencies.
This project is licensed under the MIT License - see the LICENSE file for details.
For questions, issues, or contributions:
- Create an issue in this repository
- Join our community discussions
- Check the documentation wiki
- DevOps community for best practices
- Open source tools and maintainers
- Contributors and collaborators
Note: This repository is actively maintained and updated with the latest DevOps practices and Python integrations. Star ⭐ this repo to stay updated with new examples and improvements!