| id | SKL-disaster-DISASTERRECOVERY |
| name | Disaster Recovery |
| description | Disaster Recovery encompasses strategies and procedures for recovering from catastrophic failures and ensuring business continuity. This includes backup strategies, failover mechanisms, data recovery |
| version | 1.0.0 |
| status | active |
| owner | @cerebra-team |
| last_updated | 2026-02-22 |
| category | Backend |
| tags | ["api","backend","server","database"] |
| stack | ["Python","Node.js","REST API","GraphQL"] |
| difficulty | Intermediate |
Disaster Recovery
Skill Profile
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Overview
Disaster Recovery encompasses strategies and procedures for recovering from catastrophic failures and ensuring business continuity. This includes backup strategies, failover mechanisms, data recovery procedures, and business continuity planning.
Core Principle: "Plan for the worst, hope for the best. Test your recovery plan before you need it."
Why This Matters
- Data Protection: Prevents permanent data loss from catastrophic failures
- Business Continuity: Ensures operations can resume quickly after major incidents
- Customer Trust: Demonstrates commitment to data protection and reliability
- Compliance: Meets regulatory requirements for data backup and retention
- Reduced Downtime: Minimizes RTO (Recovery Time Objective) and RPO (Recovery Point Objective)
Core Concepts & Rules
1. Core Principles
- Follow established patterns and conventions
- Maintain consistency across codebase
- Document decisions and trade-offs
2. Implementation Guidelines
- Start with the simplest viable solution
- Iterate based on feedback and requirements
- Test thoroughly before deployment
Inputs / Outputs / Contracts
- Inputs:
- System architecture and component inventory
- Data classification and criticality levels
- RPO/RTO requirements per system
- Regulatory compliance requirements
- Entry Conditions:
- Backup infrastructure is in place
- Recovery procedures are documented
- Team has been trained on recovery procedures
- Outputs: