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/planning-disaster-recovery

Design and implement disaster recovery strategies with RTO/RPO planning, database backups, Kubernetes DR, cross-region replication, and chaos engineering testing. Use when implementing backup systems, configuring point-in-time recovery, setting up multi-region failover, or

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Design and implement disaster recovery strategies with RTO/RPO planning, database backups, Kubernetes DR, cross-region replication, and chaos engineering testing. Use when implementing backup systems, configuring point-in-time recovery, setting up multi-region failover, or

SKILL.md

planning-disaster-recovery.SKILL.md
name: planning-disaster-recovery
description: Design and implement disaster recovery strategies with RTO/RPO planning, database backups, Kubernetes DR, cross-region replication, and chaos engineering testing. Use when implementing backup systems, configuring point-in-time recovery, setting up multi-region failover, or validating DR procedures.

Disaster Recovery

Purpose

Provide comprehensive guidance for designing disaster recovery (DR) strategies, implementing backup systems, and validating recovery procedures across databases, Kubernetes clusters, and cloud infrastructure. Enable teams to define RTO/RPO objectives, select appropriate backup tools, configure automated failover, and test DR capabilities through chaos engineering.

When to Use This Skill

Invoke this skill when:

  • Defining recovery time objectives (RTO) and recovery point objectives (RPO)
  • Implementing database backups with point-in-time recovery (PITR)
  • Setting up Kubernetes cluster backup and restore workflows
  • Configuring cross-region replication for high availability
  • Testing disaster recovery procedures through chaos experiments
  • Meeting compliance requirements (GDPR, SOC 2, HIPAA)
  • Automating backup monitoring and alerting
  • Designing multi-cloud disaster recovery architectures

Core Concepts

RTO and RPO Fundamentals

**Recovery Time Objective (RTO):** Maximum acceptable downtime after a disaster before business impact becomes unacceptable.

**Recovery Point Objective (RPO):** Maximum acceptable data loss measured in time. Defines how far back in time recovery must reach.

**Criticality Tiers:**

  • **Tier 0 (Mission-Critical):** RTO < 1 hour, RPO < 5 minutes
  • **Tier 1 (Production):** RTO 1-4 hours, RPO 15-60 minutes
  • **Tier 2 (Important):** RTO 4-24 hours, RPO 1-6 hours
  • **Tier 3 (Standard):** RTO > 24 hours, RPO > 6 hours

3-2-1 Backup Rule

Maintain **3 copies** of data on **2 different media** types with **1 copy offsite**.

Example implementation:

  • Primary: Production database
  • Secondary: Local backup storage
  • Tertiary: Cloud backup (S3/GCS/Azure)

Backup Types

**Full Backup:** Complete copy of all data. Slowest to create, fastest to restore.

**Incremental Backup:** Only changes since last backup. Fastest to create, requires full + all incrementals to restore.

**Differential Backup:** Changes since last full backup. Balance between storage and restore speed.

**Continuous Backup:** Real-time or near-real-time backup via WAL/binlog archiving. Lowest RPO.

Quick Decision Framework

Step 1: Map RTO/RPO to Strategy

RTO < 1 hour, RPO < 5 min
→ Active-Active replication, continuous archiving, automated failover
→ Tools: Aurora Global DB, GCS Multi-Region, pgBackRest PITR
→ Cost: Highest

RTO 1-4 hours, RPO 15-60 min
→ Warm standby, incremental backups, automated failover
→ Tools: pgBackRest, WAL-G, RDS Multi-AZ
→ Cost: High

RTO 4-24 hours, RPO 1-6 hours
→ Daily full + incremental, cross-region backup
→ Tools: pgBackRest, Velero, Restic
→ Cost: Medium

RTO > 24 hours, RPO > 6 hours
→ Weekly full + daily incremental, single region
→ Tools: pg_dump, mysqldump, S3 versioning
→ Cost: Low

Step 2: Select Backup Tools by Use Case

| Use Case | Primary Tool | Alternative | Key Feature | |----------|-------------|-------------|-------------| | PostgreSQL production | pgBackRest | WAL-G | PITR, compression, multi-repo | | MySQL production | Percona XtraBackup | WAL-G | Hot backups, incremental | | MongoDB | Atlas Backup | mongodump | Continuous backup, PITR | | Kubernetes cluster | Velero | ArgoCD + Git | PV snapshots, scheduling | | File/object backup | Restic | Duplicity | Encryption, deduplication | | Cross-region replication | Aurora Global DB | RDS Read Replica | Active-Active capable |

Database Backup Patterns

PostgreSQL with pgBackRest

**Use Case:** Production PostgreSQL with < 5 minute RPO

**Quick Start:** See `examples/postgresql/pgbackrest-config/`

Configure continuous WAL archiving with full/differential/incremental backups to S3/GCS/Azure. Schedule weekly full, daily differential backups. Enable PITR with `pgbackrest --stanza=main --delta restore`.

**Detailed Guide:** `references/database-backups.md#postgresql`

MySQL with Percona XtraBackup

**Use Case:** MySQL production requiring hot backups

**Quick Start:** See `examples/mysql/xtrabackup/`

Perform full (`xtrabackup --backup --parallel=4`) and incremental backups with binary log archiving for PITR. Restore requires decompress, prepare, apply incrementals, and copy-back steps.

**Detailed Guide:** `references/database-backups.md#mysql`

MongoDB Backup

**Quick Start:** Use `mongodump --gzip --numParallelCollections=4` for logical backups or MongoDB Atlas for continuous backup with PITR.

**Detailed Guide:** `references/database-backups.md#mongodb`

Kubernetes Disaster Recovery

Velero for Cluster Backups

**Quick Start:** `velero install --provider aws --bucket my-backups`

Configure scheduled backups (daily full, hourly production namespace) with PV snapshots. Restore with `velero restore create --from-backup <name>`. Support selective restore (namespace mappings, storage class remapping).

**Examples:** `examples/kubernetes/velero/` **Detailed Guide:** `references/kubernetes-dr.md`

etcd Backup

**Quick Start:** `ETCDCTL_API=3 etcdctl snapshot save /backups/etcd/snapshot.db`

Create periodic etcd snapshots for control plane recovery. Restore requires cluster recreation with snapshot data.

**Examples:** `examples/kubernetes/etcd/`

Cloud-Specific DR Patterns

AWS

**Key Services:**

  • RDS: Automated backups (30-day retention), PITR, Multi-AZ
  • Aurora Global DB: Cross-region active-passive with automatic failover
  • S3 CRR: Cross-region replication with 15-min SLA (Replication Time Control)

**Examples:** `examples/cloud/aws/` **Detailed Guide:** `references/cloud-dr-patterns.md#aws`

GCP

**Key Services:**

  • Cloud SQL: PITR with 7-day transaction logs,
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