Cloud Cost Estimator and Disaster Recovery Plan with Zerto Simulation

Overview

This project combines a Cloud Cost Estimator CLI Tool with a Disaster Recovery Plan utilizing Zerto Simulation. The primary goal is to provide users with an easy way to estimate costs for AWS services while also preparing for disaster recovery scenarios.

Project Structure

cloud-dr-zerto-estimator
├── src
│   ├── estimator.py          # Contains the CostEstimator class for AWS cost estimation
│   ├── zerto_simulation.py   # Implements Zerto Simulation for disaster recovery planning
│   ├── dr_runbook.md         # Documents the disaster recovery runbook
│   └── __init__.py          # Initializes the Python package
├── requirements.txt          # Lists project dependencies
└── README.md                 # Project documentation

Features

• Cost Estimation: Estimate costs for AWS services such as EC2, S3, and Lambda using the CostEstimator class.
• Disaster Recovery Planning: Simulate failover and recovery processes with Zerto Simulation.
• Runbook Documentation: Detailed steps for failover and recovery, including RPO and RTO strategies.

Getting Started

1. Clone the Repository:

   git clone <repository-url>
   cd cloud-dr-zerto-estimator
   

2. Install Dependencies: Ensure you have Python installed, then run:

   pip install -r requirements.txt
   

3. Using the Cloud Cost Estimator:

   • Import the CostEstimator class from estimator.py.
   • Create an instance of CostEstimator with the desired AWS region.
   • Call methods like estimate_ec2_cost, estimate_s3_cost, and estimate_lambda_cost to get cost estimates.

4. Zerto Simulation:

   • Implement your disaster recovery scenarios in zerto_simulation.py.
   • Follow the guidelines in dr_runbook.md for failover and recovery steps.

RPO and RTO Strategies

• Recovery Point Objective (RPO): Define the maximum acceptable amount of data loss measured in time. Strategies will be documented in dr_runbook.md.
• Recovery Time Objective (RTO): Define the maximum acceptable downtime after a disaster. Strategies will also be documented in dr_runbook.md.

Contributing

Contributions are welcome! Please submit a pull request or open an issue for any enhancements or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.