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Cloud DR Patterns

$39

Disaster recovery architectures: pilot light, warm standby, multi-region active-active with RTO/RPO calculations.

📁 25 files

JSONPythonTerraformYAMLMarkdownAWS

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📁 File Structure 25 files

cloud-disaster-recovery/ ├── LICENSE ├── README.md ├── cloudformation/ │ ├── multi-region-active-active.yaml │ ├── pilot-light.yaml │ ├── shared-networking.yaml │ └── warm-standby.yaml ├── docs/ │ ├── architecture.md │ ├── dr-runbook.md │ └── dr-testing-guide.md ├── examples/ │ ├── active-active-params.json │ ├── pilot-light-params.json │ ├── rto-rpo-requirements.json │ └── warm-standby-params.json ├── free-sample.zip ├── guide/ │ ├── 01_overview.md │ ├── 02_prerequisites.md │ └── 03_frequently-asked-questions.md ├── index.html ├── scripts/ │ ├── dr_test_scheduler.py │ ├── failover_validator.py │ └── rto_rpo_calculator.py └── terraform/ ├── multi-region-active-active.tf ├── pilot-light.tf ├── variables.tf └── warm-standby.tf

📖 Documentation Preview README excerpt

Cloud Disaster Recovery Architecture Kit

Production-ready disaster recovery patterns with IaC templates, RTO/RPO calculators, and operational runbooks.

Overview

This kit provides three battle-tested DR architecture patterns for AWS, each with complete CloudFormation and Terraform templates, automated failover scripts, and operational documentation. Whether you need a cost-efficient pilot light setup or a zero-downtime multi-region active-active deployment, this kit gives you the infrastructure code and decision frameworks to implement it.

What's Included

File	Description
`cloudformation/pilot-light.yaml`	Pilot light DR pattern — minimal footprint, lowest cost
`cloudformation/warm-standby.yaml`	Warm standby — pre-scaled secondary region
`cloudformation/multi-region-active-active.yaml`	Active-active multi-region with Global Accelerator
`cloudformation/shared-networking.yaml`	Cross-region VPC peering and Transit Gateway
`terraform/pilot-light.tf`	Terraform equivalent of pilot light pattern
`terraform/warm-standby.tf`	Terraform equivalent of warm standby pattern
`terraform/multi-region-active-active.tf`	Terraform active-active with Route 53 health checks
`terraform/variables.tf`	Shared Terraform variables for all patterns
`scripts/rto_rpo_calculator.py`	Interactive RTO/RPO calculator with cost modeling
`scripts/failover_validator.py`	Pre-failover validation checks
`scripts/dr_test_scheduler.py`	DR test scheduling and reporting tool
`docs/architecture.md`	Reference architecture with diagrams
`docs/dr-runbook.md`	Step-by-step failover/failback runbook
`docs/dr-testing-guide.md`	DR testing strategy and game day playbook
`examples/pilot-light-params.json`	Example parameters for pilot light deployment
`examples/warm-standby-params.json`	Example parameters for warm standby
`examples/active-active-params.json`	Example parameters for active-active
`examples/rto-rpo-requirements.json`	Sample RTO/RPO requirements document

Architecture Patterns at a Glance

Pattern	RTO	RPO	Monthly Cost*	Best For
Pilot Light	1-4 hours	Minutes	~$150-400	Non-critical workloads, cost-sensitive
Warm Standby	10-30 min	Seconds-Minutes	~$800-2,000	Business-critical applications
Active-Active	< 1 min	Near-zero	~$2,000-5,000	Mission-critical, zero-downtime

*Costs are estimates for a mid-size web application (2-4 EC2 instances, RDS Multi-AZ, S3).

Prerequisites

AWS Account with permissions for EC2, RDS, S3, Route 53, CloudFormation, IAM
AWS CLI v2 configured with appropriate credentials
Python 3.10+ (for helper scripts — stdlib only, no pip packages)
Terraform >= 1.5 (if using Terraform templates)
Two AWS regions selected (primary + DR)

Quick Start

Step 1: Choose Your Pattern

Use the RTO/RPO calculator to determine which pattern fits:


python3 scripts/rto_rpo_calculator.py

Answer the prompts about your application's availability requirements and budget. The tool recommends a pattern and estimates monthly DR cost.

... continues with setup instructions, usage examples, and more.

📄 Code Sample .py preview

scripts/dr_test_scheduler.py #!/usr/bin/env python3 """ DR Test Scheduler and Reporting Tool Generates and tracks DR test plans for regular disaster recovery exercises. Creates structured test plans with: - Pre-test checklist - Step-by-step failover procedure - Verification checkpoints - Failback procedure - Post-test report template Usage: python3 dr_test_scheduler.py --pattern pilot-light --frequency quarterly python3 dr_test_scheduler.py --generate-plan --pattern warm-standby --date 2026-07-15 python3 dr_test_scheduler.py --schedule-year 2026 Python 3.10+ required. No external dependencies (stdlib only). """ from __future__ import annotations import argparse import calendar import json import logging import sys from dataclasses import dataclass, field from datetime import datetime, date, timedelta from enum import Enum from pathlib import Path from typing import Optional logging.basicConfig( level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s", ) logger = logging.getLogger(__name__) class TestFrequency(Enum): MONTHLY = "monthly" QUARTERLY = "quarterly" SEMI_ANNUAL = "semi-annual" ANNUAL = "annual" class DRPattern(Enum): PILOT_LIGHT = "pilot-light" WARM_STANDBY = "warm-standby" # ... 436 more lines ...

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